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Natural disasters, labor disputes, terrorism and more mundane risks can seriously disrupt or delay the flow of material, information and cash through an organization's supply chain. The authors assert that how well a company fares against such threats will depend on its level of preparedness, and the type of disruption. Each supply-chain risk - to forecasts, information systems, intellectual property, procurement, inventory and capacity - has its own drivers and effective mitigation strategies. To avoid lost sales, increased costs or both, managers need to tailor proven risk-reduction strategies to their organizations. Managing supply-chain risk is difficult, however. Dell, Toyota, Motorola and other leading manufacturers excel at identifying and neutralizing supply-chain risks through a delicate balancing act: keeping inventory, capacity and related elements at appropriate levels across the entire supply chain in a rapidly changing environment. Organizations can prepare for or avoid delays by "smart sizing" their capacity and inventory. The manager serves as a kind of financial portfolio manager, seeking to achieve the highest achievable profits (reward) for varying levels of supply-chain risk. The authors recommend a powerful what if? team exercise called stress testing to identify potentially weak links in the supply chain. Armed with this shared understanding, companies can then select the best mitigation strategy: holding "reserves," pooling inventory, using redundant suppliers, balancing capacity and inventory, implementing robust backup and recovery systems, adjusting pricing and incentives, bringing or keeping production in-house, and using Continuous Replenishment Programs (CRP), Collaborative Planning, Forecasting and Replenishment (CPFR) and other supply-chain initiatives.
Managing Risk To Avoid
Supply-Chain Breakdown
FALL 2004 VOL.46 NO.1
Sunil Chopra and ManMohan S. Sodhi
Please note that gray areas reflect artwork that has
been intentionally removed. The substantive content
of the article appears as originally published.
n March 17, 2000, lightning hit a power line in Albu-
querque, New Mexico. The strike caused a massive surge in the
surrounding electrical grid, which in turn started a fire at a
local plant owned by Royal Philips Electronics,N.V., damaging
millions of microchips. Scandinavian mobile-phone manufac-
turer Nokia Corp., a major customer of the plant, almost
immediately began switching its chip orders to other Philips
plants, as well as to other Japanese and American suppliers.
Thanks to its multiple-supplier strategy and responsiveness,
Nokia’s production suffered little during the crisis.
In contrast, Telefon AB L.M. Ericsson, another mobile-
phone customer of the Philips plant, employed a single-
sourcing policy.As a result, when the Philips plant shut down
after the fire, Ericsson had no other source of microchips,
which disrupted production for months. Ultimately, Ericsson
lost $400 million in sales.1(Ericsson has since implemented
new processes and tools for preventing such scenarios.2)
These two dramatically different outcomes from one event
demonstrate the importance of proactively managing supply-
chain risk. Supply-chain problems result from natural disasters,
labor disputes, supplier bankruptcy, acts of war and terrorism,
and other causes. They can seriously disrupt or delay material,
information and cash flows, any of which can damage sales,
increase costs or both. Broadly categorized, potential supply-
chain risks include delays, disruptions, forecast inaccuracies, systems breakdowns, intellec-
tual property breaches, procurement failures,inventory problems and capacity issues. Each
category has its own drivers (see Supply-Chain Risks and Their Drivers,p. 54) and miti-
gation strategies (see Assessing the Impact of Various Mitigation Strategies,p. 55).
How a company fares against such threats depends on the type of disruption and the
organizations level of preparedness. To prevent the kind of heavy sales losses suffered by
Ericsson after the Philips plant fire, managers must perform a delicate balancing act to
keep inventory, capacity and other elements at appropriate levels across the entire sup-
ply chain in a dynamic, fast-changing environment. Dell, Toyota, Motorola and other
leading manufacturers excel at identifying risks to their supply chains, and at creating
powerful mitigation strategies that neutralize potentially negative effects. With a clear
Managing Risk To Avoid
Supply-Chain Breakdown
Sunil Chopra is IBM Distinguished Professor of Operations Management and Information Sys-
tems at the Kellogg School of Management. Contact him at
ManMohan S. Sodhi is associate professor of operations management at Cass Business School
in London. Contact him at
By understanding the
variety and interconnect-
edness of supply-chain
risks, managers can tailor
balanced, effective risk-
reduction strategies for
their companies.
Sunil Chopra and
ManMohan S. Sodhi
understanding of the types of supply-chain risks, managers in
many types of industries can tailor effective risk-reduction
approaches to their own companies.
A Variety of Risks
Managing supply-chain risk is difficult because individual risks
are often interconnected. As a result, actions that mitigate one
risk can end up exacerbating another. Consider a lean supply
chain. While bare-bones inventory
levels decrease the impact of over-
forecasting demand, they simultane-
ously increase the impact of a supply
chain disruption. Similarly, actions
taken by any company in the supply-
chain can increase risk for any other
participating company.
Supply-chain risks can become
full-fledged supply-chain problems,
causing unanticipated changes in flow
due to disruptions or delays. Disrup-
tions can be frequent or infrequent;
short- or long-term; and cause prob-
lems for the affected organization(s),
ranging from minor to serious. A sim-
ple delay along the chain may create a
temporary risk, whereas a sole sup-
plier holding up a manufacturer to
force a price increase represents a
long-term risk. A machine breakdown
may have a relatively minor impact
on a manufacturing company with
redundant capacity, whereas a war
that disrupts shipping lanes can have a
major impact on a shipping company.
Most companies develop plans to
protect against recurrent, low-impact
risks in their supply chains. Many,
however, all but ignore high-impact,
low-likelihood risks. For instance, a
supplier with quality problems rep-
resents a common, recurrent dis-
ruption. Without much effort, the
customer can demand improvement
or find a substitute. In contrast, in
regions where earthquakes are rare,
preparedness to prevent major disrup-
tion may be weak or uneven.
Leading companies deal with this
range of supply-chain risks by hold-
ing reserves. Just as insurance compa-
nies hold cash reserves to meet claims, top manufacturers hold
supply-chain reserves that include excess inventory, excess capac-
ity and redundant suppliers. The big challenge for managers here:
Mitigate risk by intelligently positioning and sizing supply-chain
reserves without decreasing profits. So while stockpiling inven-
tory may shield a company against delivery delays by suppliers,
building reserves in an undisciplined fashion also drives up costs
and hurts the bottom line. The managersrole here is akin to that
Before companies can devise effective means of reducing supply-chain risks, managers
must first understand the universe of risk categories as well as the events and conditions
that drive them. Then, armed with clear, specific knowledge about these crucial risks,
companies can proceed to select and tailor mitigation strategies likely to be most effec-
tive. (See “Assessing the Impact of Various Mitigation Strategies.”)
Supply-Chain Risks and Their Drivers
Category of Risk
Intellectual Property
Drivers of Risk
Natural disaster
Labor dispute
Supplier bankruptcy
War and terrorism
Dependency on a single source of supply as well as the
capacity and responsiveness of alternative suppliers
High capacity utilization at supply source
Inflexibility of supply source
Poor quality or yield at supply source
Excessive handling due to border crossings or to change
in transportation modes
Information infrastructure breakdown
System integration or extensive systems networking
Inaccurate forecasts due to long lead times, seasonality,
product variety, short life cycles, small customer base
“Bullwhip effect” or information distortion due to sales
promotions, incentives, lack of supply-chain visibility and
exaggeration of demand in times of product shortage
Vertical integration of supply chain
Global outsourcing and markets
Exchange rate risk
Percentage of a key component or raw material procured
from a single source
Industrywide capacity utilization
Long-term versus short-term contracts
Number of customers
Financial strength of customers
Rate of product obsolescence
Inventory holding cost
Product value
Demand and supply uncertainty
Cost of capacity
Capacity flexibility
of a stock portfolio manager: Attain the highest achiev-
able profits (reward) for varying levels of supply-chain
risk and do so efficiently. (See Choosing Supply-Chain
Risk/Reward Trade-Offs,p. 56.) This means the manager
must seek additional profits for any level of risk protection
and preparedness or increase prevention and preparedness
without reducing profits. Success at this task requires a
good understanding of supply-chain risks and remedies,
both broad and tailored to the managers own company.
Delays Delays in material flows often occur when a sup-
plier, through high utilization or another cause of inflexi-
bility, cannot respond to changes in demand. Other
culprits include poor-quality output at supplier plants (or
at their suppliersplants), high levels of handling or inspec-
tions during border crossings and changing transportation
modes during shipping. If material-flow delays are fre-
quent, however, companies can plan mitigation strategies
based on historical information.
Organizations can avoid delays, or at least prepare for
them, by appropriately and economically placing and sizing
their capacity and inventory reserves. One simple solution is
to maintain excess flexible capacity in existing plants. Toyota
Motor Corp.,for example, accomplishes this on its assembly
lines by employing team leaders who can work on any sta-
tion. Besides reducing the need for extra, station-specific workers
to cover absences, the strategy also ensures that daily production
goals are met, even when minor assembly-line problems occur.3
Another solution for delays is balancing capacity and inventory,
depending on the cost of the products. For example, telecommu-
nications equipment maker Cisco Systems Inc. has capacity to
assemble higher-value items in the United States. This enables the
company to respond quickly to orders from up-market domestic
customers. In contrast, Cisco holds an inventory of lower-value,
high-demand items produced in low-cost (but not very respon-
sive) locations overseas. Thus, by matching approach to product
value, Cisco reduces both supplier-delay risks and inventory costs.
Yet another solution is to combine inventory with different
transport modes. Dell Inc. holds very little inventory of high-value
components in the United States. Instead, the personal computer
manufacturer uses high-cost air transportation to deliver compo-
nents from the Far East as needed. For less expensive components,
however, Dell keeps some inventory that is shipped regularly at low
cost to the United States. In this way Dell, minimizes delay-related
risk as well as inventory-related costs.
Disruptions Disruptions to material flows anywhere in the supply
chain are unpredictable and rare but often quite damaging.
Examples abound of how natural disasters, labor strikes, fires and
terrorism have halted the flow of materials. For instance, follow-
ing a February 1997 fire at a parts factory owned by Japanese
manufacturer Aisin Seiki Co. Ltd., a key supplier for Toyota, the
auto giant was forced to temporarily shut down production at
most of its Japanese plants.4The negative impact can be interna-
tional: The 1994 Kobe earthquake in Japan, to cite just one case,
left California-based sound card maker Kelly Micro Systems and
many other small companies without any supply of parts.5The
California dockworkers strike in 2002 produced shortages of
high-demand retail items.6The 2001 bankruptcy of U.K.-based
UPF-Thompson, sole chassis supplier to Ford Motor Co.s Land
Rover unit, caused major problems for the automaker.7Immedi-
ately after the attacks of September 11, 2001, U.S. auto manufac-
turers ran short of parts because transport trucks had been
delayed at the Canadian border.8In addition, supply disruptions
also can increase prices, as the Midwest discovered painfully in
August 2001, when regional gasoline prices skyrocketed follow-
ing a refinery fire at the height of summer demand.9
Companies can counter disruptions in material flow by
building inventory, or by having redundant suppliers (since it is
unlikely that all suppliers would be disrupted simultaneously).
However, holding inventory in this situation can get very costly.
The reason is simple: While holding costs are incurred contin-
ually,the inventory would be used only in the rare event of a dis-
ruption. In essence, the company pays (and continues to pay)
for reserves that may never be tapped. Still, building inventory
Decreases Risk
Greatly Decreases Risk
Greatly Increases Risk
Increases Risk
Mitigation strategy
Add capacity
Add inventory
Have redundant suppliers
Increase responsiveness
Increase flexibility
Aggregate or pool demand
Increase capability
Have more customer accounts
Forecast risk
Procurement risk
Receivables risk
Capacity risk
Inventory risk
Unfortunately, there is no silver-bullet strategy for protecting organi-
zational supply chains. Instead, managers need to know which mitiga-
tion strategy works best against a given risk. (Systems risk and
intellectual property risks are not included here.)
Assessing the Impact of Various Mitigation Strategies
does make sense if the disruption can be predicted with reason-
able confidence. In 2002, for example, many retailers selectively
built up inventories after learning of the impending California
dockworkers strike. As a result, when supply was disrupted,
as predicted, damage was minimal. Stockpiling inventory as a
hedge against disruption also makes sense for commodity prod-
ucts with low holding costs and no danger of obsolescence. The
large petroleum reserve kept by the United States is a perfect
example of this strategy.
For products with high holding costs and/or a high rate of
obsolescence, using redundant suppliers is a better strategy.
Motorola Inc., for example, buys many of its handset compo-
nents from multiple vendors. Doing so prepares the company for
disruptions without building up fast-depreciating inventory.
Motorola lowers the cost of redundancy by using multiple sup-
pliers for high-volume products and single sourcing for low-vol-
ume products. This approach helps the company lower the risk of
disruption while preserving economies of scale at its suppliers.
Systems Risk The more a company networks its information sys-
tems, the greater the threat that a failure anywhere can cause failure
everywhere. Although rare, a breakdown of information infrastruc-
ture can devastate todays highly networked environments. Case in
point: the Love Bugcomputer virus. In 2002, the fast-spreading
infection shut down e-mail at the Pentagon, NASA and Ford,
among others, causing billions of dollars in estimated damages.10
The banking industry has long recognized systems risk as a
major threat. In 1988, the Basel Committee on Banking Supervi-
sion warned about the growing reliance on globally integrated
systems. The greater use of more highly automated technology
has the potential to transform risks from manual processing
errors to system failure risks,the committee wrote.11
The best defense against systems failure? Robust backup sys-
tems and well-designed, well-communicated recovery processes
that duplicate all data and transactions. Such approaches helped
securities firms recover quickly and convincingly following the
World Trade Center attacks in 2001.12
Forecast Risk Forecast risk results from a mismatch between a
companys projections and actual demand. If forecasts are too
low, products might not be available to sell. Forecasts that are too
high result in excess inventories and, inevitably, price mark-
downs. Long lead times, seasonal demand, high product variety
and smaller product life cycles all increase forecast error. Errors
tend to be greater when a few customers make larger purchases
(as opposed to many customers making smaller purchases).
Forecast inaccuracies can also result from information distor-
tion within the supply chain. In late 2003, for example, product
shortages in Western Europe led Nokia customers to order more
than they needed so they would be able to meet demand if Nokia
began rationing or allocations. Unfortunately, the exaggerated
figures distorted Nokias reading of the market, causing the com-
pany to inaccurately forecast sales.13
Other causes of information distortion include promotions
and incentives that lead to forward buying; batching of pur-
chases, which leads to higher volatility in orders; and lack of
knowledge of end-customer demand at upstream locations. Dis-
tortion increases in the supply chain as you get farther away from
the end consumer,a phenomenon known as the bullwhip effect.14
Companies can reduce the sting of the bullwhip effect,
though, by adjusting pricing and incentives to decrease variation
in orders. Increasing the visibility of demand information across
the supply chain also helps. Continuous replenishment programs
(CRP), and collaborative planning, forecasting and replenish-
ment (CPFR), and other supply-chain initiatives also can soften
the bullwhip effect.
Here again, forecast risk can be lessened by selectively hold-
ing inventory and/or building responsive production and deliv-
ery capacity. Holding inventory is appropriate for commodity
products with relatively low holding costs; responsive delivery is
better for expensive products with short life cycles (and corre-
sponding large forecast errors). Motorola practices responsive
delivery each day when it flies in phones from China in response
to demand by customer Nextel Communications Inc. Instead of
stocking parts for uncertain demand, Dell also flies in high-value
items from Asian suppliers on an as-needed basis.
Low High
A higher-
Perhaps the biggest challenge companies face is mitigating
supply-chain risks without eroding profits. The manager’s role
here is similar to that of a stock portfolio manager: Achieve
the highest possible profits for varying levels of risk and do
so efficiently. In practice, this entails either (A) moving to a
higher level of efficiency by reducing risk while increasing
rewards, or (B) remaining at the current level of efficiency by
accepting reduced risk and reduced rewards.
Choosing Supply-Chain Risk/Reward Trade-Offs
Intellectual Property Risk Intellectual property risk has grown rap-
idly as supply chains become less vertically integrated and more
global, and as companies outsource to the same manufacturers
used by competitors. Because profitability and often business
models as well depend on keeping a competitive edge, intel-
lectual property risk has dramatic, long-term implications.
Companies can mitigate intellectual property risk by bring-
ing, or keeping, some production in-house, or at least under
direct company control. That is a major reason why Motorola
owns some of the testing equipment at supplier locations. Man-
agers also can decrease risk by limiting the flow of new intellec-
tual property into countries with weak legal protections.
Companies like Cisco, which outsources all manufacturing, also
lower risk by creating business processes that cannot be easily
replicated by a single manufacturer. Electronics manufacturer
Sharp Corp. even repairs equipment itself, thus preventing any
possibility, accidental or otherwise, that its vendors will share
proprietary information with Sharps competitors. The company
goes so far as to reprogram various computer-aided machines
used by its vendors without sharing the information.
Procurement Risk Procurement risk refers to unanticipated
increases in acquisition costs resulting from fluctuating exchange
rates or supplier price hikes. For example, the recent weakening
Exploring “what if” scenarios like those below can help groups identify, understand and prioritize risks, a key prerequisite to tailoring
effective risk-mitigation strategies.
Stress Testing Your Supply Chain
Supplier of a key part shuts
down plant for a month or at a
key part of the production cycle
Supplier capacity drops by 20%
Purchase orders of key parts or
raw materials delayed by month
Supplier’s order-entry system
goes down for a week
Supplier rations supplies by 20%
Supplier increases minimum
order size by 20% then 100%
Key supplier redesigns parts and
creates own product
Supplier delays in processing
returns by twice as long
Supplier forced to increase price
of key components by 20%
Transportation costs go up 20%
Key plant shuts down unexpect-
edly for one month
Capacity at a key plant drops by
20% overnight
Distribution or production
orders delayed by a month
Key customer’s procurement
system inside your company
goes down for a week
Company’s inventory/accounts
system goes down for a week
To take advantage of volume
discounts, company begins to
order in quantities twice as
large as usual, but half as fre-
quently, which impacts sup-
plier’s ability to forecast
Unforeseen cash squeeze
requires month-long delays in
paying key suppliers
Demand goes up by 20%
… for all products
… for a key product
… across the board
Demand goes
by 20%
under conditions above
Customer orders delayed by a
Order entry system not working
for a week
Key customer’s procurement
system inside your company
goes down for a week
Credit card information stolen
from hacked e-commerce system
Key customer begins to order
in batches that are twice as
large as usual but less frequent
(the impact of forecasting)
Key customer withholds pay-
ments one month longer than
20% of receivable payments
delayed by one month
of the U.S. dollar drove up costs for U.S. companies sourcing in
Europe. The devaluation also created the risk of a dollar collapse,
the result of Asian economies propping up the currency to main-
tain exports to the United States. Interestingly, hedging against
the dollars fall also has led to higher oil prices, creating problems
for petrochemical and energy-intensive industries. Needless to
say, price increases are more likely when a company uses only one
supply source. Fortunately, managers have several sharp tools at
their disposal for minimizing price increases.
Exchange-rate risk can be countered by creating financial
hedges, balancing cost and revenue flows by region and build-
ing flexible global capacity. Toyotas manufacturing strategy, to
cite one example, allows each plant to serve the local market
and at least one other market across the world. This lets Toyota
shift production if exchange rates change appreciably.
Price increases by suppliers can be blunted in several ways: by
signing long-term contracts, having redundant suppliers or, in
rare instances, holding inventory. But be warned that long-term
purchasing can badly damage profits if prices for the contracted
goods fall. For example, obligations signed by California during
the peak of its electricity crisis in 2001 forced the state to pay
800% more than the 2002 market price.15
Contracting with redundant suppliers can work, but only if
companies can maintain economies of scale. Global giants like
Toyota seek out local economies of scale by single-sourcing at the
plant level, but enlisting redundant suppliers globally. So even
though a company might be the sole supplier to a Toyota plant, it
must keep prices down to compete for business across the entire
Toyota network. Alternatively, some firms use multiple, redun-
dant suppliers, even if it means sacrificing some economies of
scale. Cisco, for one, claims to have four or five more suppliers
than it needs. The company keeps the resulting higher costs in
check by monitoring and benchmarking suppliers against each
other.16 A good example of using inventory to counter the threat
of price increases is the U.S. strategic oil reserve policy. Meant
primarily to prevent oil supply disruption, the reserve also has
been used on occasion to keep prices down. In another instance,
the International Paper Co. keeps prices of raw materials down
by sourcing them from independent forest owners, as well as
from its own forests.
Receivables Risk Receivables risk, the possibility of being unable
to collect on receivables, can torpedo the performance of any
company. In 2002, Sears Roebucks credit division reported
unexpected losses caused by delinquent cardholders.17 As a
result, Sears stock plummeted more than 30% in one day.
The company learned the hard way that filtering customers
for creditworthiness is a very prudent and powerful way to
reduce receivables risk.
Another approach is to spread the risk across
more customers. Elmhurst, Illinois-based
McMaster-Carr Supply Co., a maintenance-
materials supplier with hundreds of thousands
of customers, enjoys a much lower receivables
risk than a competitor selling to a single, large
customer.The Achilles heel here is a widespread
economic shock that harms the creditworthi-
ness of all customers, a fate that befell Cisco
during the dot-com bust.
Inventory Risk Excess inventory hurts financial
performance. That was the case in late 2000,
when the personal computer industry carried
roughly 12 weeks of inventory. The killer combi-
nation of excess inventory and falling prices hurt
many companies, notably Compaq Computer
Corp. Inventory risk hinges on three factors: the
value of the product, its rate of obsolescence and
uncertainty of demand and supply. As we have
seen, holding excess inventory for products with
high value or short life cycles can get expensive.
The strategy can work quite well, however, for
low-value commodity products that have low
obsolescence rates. To complicate matters even
Benefit of
Low High
Cost of
Low High
for a Given
Level of Risk
of Pooling
Low High
Managers working to optimize
the cost of building a supply-chain
reserve against the level of risk pro-
tection must skillfully balance three
key relationships. The first relation-
ship shows the increasing cost of
risk reduction, which means that
using inventory to cover a
of demand risk proportionately
costs far more than doing so with
level of demand risk. The sec-
ond relationship shows that pooling
forecast risk, receivables risk or
other risk reduces the amount
of reserve required for a given level
of risk coverage. Thus, the required
level of inventory needed to miti-
gate forecast risk
as it is
pooled. The third relationship illus-
trates how the benefit of pooling
grows with the level of risk covered.
This means pooling inventory pro-
duces significant benefits only for
products with high forecast or
inventory risks.
Balancing Supply-Chain Risk/Reward Relationships
further, inventory risk also increases as product variety grows.
Three time-tested approaches can help managers mitigate
inventory risk: (1) pooling inventory, (2) creating common com-
ponents across products and (3) postponing or delaying the last
stage of production until all orders are in hand. Online bookseller serves all its customers in the United States with
inventory housed in a handful of warehouses. Book retailer Bor-
ders Books & Music supplies its customers with inventory in sev-
eral hundred stores. Each Amazon warehouse pools demand over
a large geographical area, leading to more stable forecasts and
lower total inventory. The strategy helps Amazon achieve 14
inventory turns per year, compared with two for Borders.
The paint industry illustrates well how to leverage component
commonality and postponementof variety. Traditionally, man-
ufacturers held paint inventory in a rainbow of different colors.
Today, paint inventory is held as a common base, which is then
mixed to exact color specifications after the customer orders.
This simple but powerful change has significantly lowered paint
inventory at retail stores. Apparel maker Benetton Group SpA
also practices pooling and postponement. An inventory of un-
dyed sweaters gets stockpiled in one location; coloring takes place
only after specific orders have been received. This pooling of
demand across geographical areas, and across colors, helps
Benetton greatly reduce inventory risk while more effectively
meeting customer demand.18
Companies can also minimize inventory risk by working
with a highly responsive supplier, especially for high-value,
short life-cycle products. Excess capacity can also lower the
amount of inventory required. For example, by running plants
at 80% utilization, Toyota can handle demand variation with-
out having to hold inventory.
Capacity Risk Unlike inventory, capacity can only be increased or
decreased over a period of time. Thus, building excess capacity
usually becomes a strategic choice. Excess (and thus, underuti-
lized) capacity hurts financial performance. That was the case in
20022003, when many semiconductor firms had to operate at
about 50% capacity because of soft demand.
Managers can lower excess capacity risks by making existing
capacity more flexible. Flexibility is a form of pooling that allows
use of the same capacity for a variety of products. For example,
plants owned by Japanese truck manufacturer Hino Motors Ltd.
employ multiple assembly lines on which the number of workers
determines line speed. This flexibility lets Hino change produc-
tion on any line by moving workers (capacity) to meet fluctuat-
ing demand. It also greatly reduces the excess capacity of workers
Hino would have to carry if each worked only on a specific line.
Toyota decreases risks from idle capacity by ensuring that each
plant is flexible enough to supply more than one market.
Demand fluctuations can be satisfied from a variety of plants,
which decreases the total capacity required. As noted, Toyota car-
ries the idea of flexibility down to the shop floor, where team
leaders can work on any station in the assembly line, reducing the
need for spare station-specific workers to cover absences.19
Lastly, a company can minimize excess capacity by serving
geographically scattered customers from the same location. Ital-
ian automaker Ferrari SpA, for example, minimizes total pro-
duction capacity by centralizing all car production in a single
plant. The arrangement also gives Ferrari economies of scale,
even though the company procures and produces much less
than the big auto companies.
What Managers Should Do
With so many related risks and risk-mitigation approaches to
consider, managers must do two things when they begin to con-
struct a supply-chain risk management strategy. First, they must
create a shared, organizationwide understanding of supply-chain
risk. Then they must determine how to adapt general risk-miti-
gation approaches to the circumstances of their particular com-
pany. Managers can achieve the former through stress testing and
the latter through tailoring.
Stress Testing Stress testing is a group exercise that helps man-
agers and their companies understand and prioritize supply-
chain risks. What ifscenarios help key players focus on the
supply chain one link at a time. This strategy offers an especially
effective way to gain buy-in and shared ownership in project
teams tackling supply-chain risk.
The first step in stress testing is to identify key suppliers, cus-
tomers, plant capacity, distribution centers and shipping lanes.
Next, the team surveys locations and amounts of inventory repre-
sented by components, work-in-process and finished goods. Man-
Cost of Risk
Level of Risk
Low High
The application of three key risk/reward relationships in the
supply chain (see “Balancing Supply-Chain Risk/Reward Rela-
tionships”) suggests four general strategic approaches, depend-
ing upon the relative level of risk and the cost of mitigating it.
Rules of Thumb for Tailored Risk Management
agers then probe each potential source of risk,
which helps assess possible supply-chain
impacts as well as the companys level of pre-
paredness. Facilitators ask questions such as,
What might happen if a particular supplier
could not deliver for a month?or What if a
supplier raised prices by 20% at the termination
of a contract?Questions pertaining to key cus-
tomers might include: What if demand went
up or down by 20%?or What if a customer
delayed cash payment by a month?(See Stress
Testing Your Supply Chain,p. 57.) When con-
sidering questions during stress testing, man-
agers should realize that figures such as
20%or one monthare not sacred, but sim-
ply represent numbers large enough to be sig-
nificant and small enough to be realistic.
It is wise to position stress testing as a
thought experimentto help the company
prepare for unforeseen events, rather than
focusing on the debatable likelihood of such
events. Similarly, it is useful to frequently
remind people of the goal: preparing the sup-
ply chain for unforeseen events and greatly
lowering risk, both at the lowest possible cost.
Through stress testing, managers should be
able to identify risk-mitigation priorities for
the near, medium and long term. They will
have identified product families at risk, as well
as individual plants, shipping lanes, suppliers
or customers that could pose risks. Managers
will also have a clear idea of what risks might
have an impact on sales, procurement costs,
revenues, prices or even reputation.
Tailoring Risk Management Approaches Leading
companies mitigate risk by building various
forms of reserves, including inventory, capacity, redundant suppli-
ers and responsiveness. Managers must keep a vigilant eye on the
trade-off between the risk and the cost of building a reserve to mit-
igate it.20 Three key relationships influence this optimal balance.
(See Balancing Supply-Chain Risk/Reward Relationships,p. 58.)
The first relationship is the increasing cost of risk reduction.
This simply means that using inventory to cover a high level of
demand risk costs much more than covering a low level of risk.
The second relationship shows that pooling forecast risk, receiv-
ables risk or some other risk reduces the amount of reserve
required for a given level of risk coverage. Thus,the required level
of inventory needed to mitigate forecast risk decreases as it is
pooled. The third relationship shows how the benefit of pooling
grows with the level of risk covered: The benefit of pooling inven-
tory is great only if the product has high forecast or inventory risk.
Managers can balance these relationships to tailor their
response to risk with a surer grasp of extent and cost of reserve.
The following rules of thumb can be applied to tailor risk-miti-
gation strategies: When the cost of building a reserve is low,
reserves should be decentralized. When the cost is high, reserves
should be pooled. If the level of risk is low, focus on reducing
costs. If the risk is high, focus on risk mitigation. (See Rules of
Thumb for Tailored Risk Management,p. 59.) By tailoring
reserves for all risk-mitigation strategies, companies can maxi-
mize rewards for the same level of risk, or lower risks for the same
reward. (See Tailoring Reserves for Risk Mitigation.)
Once a company clearly understands its supply-chain risk, it can select the appro-
priate general mitigation approach and specific tailored strategy.
Tailoring Reserves for Risk Mitigation
Mitigation Approach
Increase Capacity
Acquire Redundant
Increase Inventory
Increase Flexibility
Pool or Aggregate
Increase Capability
Tailored Strategies
Focus on low-cost, decentralized capacity
for predictable demand.
Build centralized capacity for unpredictable
demand. Increase decentralization as cost of
capacity drops.
Favor more redundant supply for high-volume
products, less redundancy for low-volume
Centralize redundancy for low-volume prod-
ucts in a few flexible suppliers.
Favor cost over responsiveness for commodity
Favor responsiveness over cost for short life-
cycle products.
Decentralize inventory of predictable, lower-
value products.
Centralize inventory of less predictable, higher-
value products.
Favor cost over flexibility for predictable, high-
volume products.
Favor flexibility for low-volume unpredictable
Centralize flexibility in a few locations if it is
Increase aggregation as unpredictability
Prefer capability over cost for high-value,
high-risk products.
Favor cost over capability for low-value com-
modity products.
Centralize high capability in flexible source
if possible.
Beyond reserve costs, companies must also consider product
volumes. Fast-moving standard items, with low margins and low
forecast risk, call for different reserves than slow-moving special
products with high margins and greater forecast risk. When plan-
ning capacity, managers should select an efficient, low-cost sup-
plier for fast-moving (low-risk) items. In contrast, a more
responsive supplier better suits slow-moving (high-risk and
high-value) items. For example, Cisco tailors its response by
manufacturing fast-moving products in specialized, inexpensive
but not-so-responsive Chinese plants. High-value, slow-moving
items are assembled in responsive, flexible (and more expensive)
U.S. plants. Sony Corp. also exploits this strategy, utilizing flexi-
ble but high-cost plants in Japan and low-cost but specialized
plants in Malaysia and China.
As much as possible, a specialized, decentralized approach
offers the best way to keep capacity for fast-moving, commodity
items with low forecast risk. Doing so should produce greater
responsiveness and lower transportation costs but only if
doing so maintains adequate economies of scale. In contrast,
capacity for slow-moving, short life-cycle products with high fore-
cast risk should be made more flexible and centralized to pool
demand. This helps explain why automakers, for example, often
build specialized plants for fast-moving products in each major
market, but centralize the flexible production of high-end,
slower-selling models.
When capacity is expensive, managers can reduce supply-
chain costs by centralizing capacity to pool risk. As costs
decline, capacity must be decentralized further. Consider the
personal computer industry. PCs can be assembled to order in
two different ways. In one, the Dell model, capacity is central-
ized. In the other model, widely used in India, several compa-
nies sell component kits to local assemblers for assembly on
demand. Given the low cost of assembly capacity in India, it is
economical to decentralize capacity, even though this action
reduces pooling and increases the overall size of assembly
capacity across the supply chain. In contrast, given the higher
cost of capacity in the United States, centralizing buffer capac-
ity is more effective.
In addition to separating products with different risk charac-
teristics, managers must also consider separating capacity for the
low-risk and high-risk aspects of each product. Utility companies
use this strategy by employing low-cost, coal-fired power plants
to handle predictable base demand, and utilizing responsive but
high-cost gas- and oil-fired power plants to handle uncertain
peak demand. Similarly, Benetton produces the predictable base
load of its knit garments using a cheaper process that starts with
dyed thread and only produces the uncertain portion using the
more expensive process of dyeing knit garments.21
By continually stress testing their supply chains and tailoring
reserves, managers can protect and improve the bottom line in the
face of many types of supply-chain risks. Like Ericsson, smart com-
panies do not wait for lightning to strike twice before taking action.
1. R. Eglin, “Can Suppliers Bring Down Your Firm?” Sunday Times
(London), Nov. 23, 2003, appointments sec., p. 6.
2. A. Norrman and U. Jansson, Ericssons Proactive Supply Chain
Risk Management Approach After a Serious Sub-Supplier Accident,
International Journal of Physical Distribution & Logistics Management
34, no. 5 (2004): 434-456.
3. K. Mishina, Toyota Motor Manufacturing, U.S.A. Inc., Harvard
Business School case no. 9-693-019 (Boston: Harvard Business
School Publishing, Sept. 8, 1992).
4. M. Nakamoto, Fire Hits Parts Supply Network at Toyota, Financial
Times, Feb. 4, 1997, p. 34.
5. B. Johns, Damage to Chip Makers Puts Sourcing in Spotlight,
Journal of Commerce, Jan. 30, 1995, p. 1A.
6. A. Zimmerman, A. Merrick and O. Sook, Retailers Scramble To
Keep Stores Stocked, Wall Street Journal, Oct. 21, 2002, sec. B, p. 1.
7. T. Lester, Inside Track: Making It Safe To Rely on a Single Partner,
Financial Times, Apr. 1, 2002, p. 7.
8. M. Kane, Inventory Controls Re-examined: Attacks Reveal Vulnerabil-
ity of Just-in-Time, Cleveland Plain Dealer, Oct. 29, 2001, sec. C, p. 4.
9. J. Kohler, Prices Jump at Gasoline Pumps in the Area, St. Louis
Post-Dispatch, Aug. 29, 2001, sec. A, p. 1.
10. K. Maney and M.J. Zuckerman, FBI Hunts Love BugSource:
Damage From E-mail Source Cuts Across USA and Worldwide, USA
Today, May 5, 2000, sec. A, p. 1.
11. Basel Committee on Banking Supervision, Sound Practices for
the Management and Supervision of Operational Risk (Basel,
Switzerland: Basel Committee Publications, Feb. 2003), 1.
12. J. Gillis, Backup Systems Passed Trying Test; Despite Scale of
Destruction, Wall St. Data Largely Saved, Washington Post, Sept. 27,
2001, sec. E, p. 1.
13. Nokia Feels the Squeeze From Shortage, Off the Record
Research, Nov. 13, 2003.
14. H.L. Lee, V. Padmanabhan and S. Whang, The Bullwhip Effect in
Supply Chains, Sloan Management Review 38 (spring 1997): 93-102.
15. California May Have New Energy Deals, New York Times, Aug.
8, 2002, sec. C, p. 12.
16. Authors interview with Randy Pond, senior vice president, Cisco
Systems Inc., Nov. 2002.
17. C.L. Hays, Sears Earnings Will Be Hurt by Credit Unit, New York
Times, Oct. 18, 2002, sec. C, p. 1.
18. J.L. Heskett and S. Signorelli, Benetton (A), Harvard Business
School case no.9-685-014 (Boston: Harvard Business School Publish-
ing, 1989).
19. K. Mishina, Toyota Motor Manufacturing, U.S.A. Inc., 4-5.
20. See the newsvendor problem in S. Chopra and P. Miendl, Supply-
Chain Management: Strategy, Planning, and Operations, 2nd ed.,
(Upper Saddle River, New Jersey, Prentice-Hall, 2003), 346-352.
21. J.L. Heskett and S. Signorelli, Benetton (A), Harvard Business School
case no. 9-685-014 (Boston: Harvard Business School Publishing, 1984).
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... The challenge with this type of a risk is that once it occurs, a company will have to transfer the manufacturing or production to other suppliers which further could exposes the company to many more complex risks. This move also has some benefits in that the firm that may stop depending on a particular supplier [5]. ...
... While considering that more and more frequent disasters occur in the supply chain network caused by the cascading phenomenon, the model for the supply chain network should be built in terms of this characteristic. Based on this, an organization is expected to introduce some effective measurement methods of the invulnerability of the supply chain network to investigate its invulnerability [5]. The investigation should be on the damage degree of the supply chain network which may be caused by adopting different attack strategies, as the problems could be with the security faced by the increasingly complex internal and external environment. ...
... [73] stated that a customer of today needs both a quality service or product and this should be available when needed. Therefore, the choice and design of an effective and efficient supply chain network also depends on the needs of the target customer group of the company [5]. The other important factor to consider is the market insecurity that could be brought by the environmental factors. ...
Full-text available
While the world economies are transitioning to globalization, but the challenges that supply chain management and its logistics management are also facing are many covering from market security to finding solutions based on the cost control, quality of the products, service delivery and speed of delivery. So, it is appropriate that with the innovations within the operations of the supply chain management linked to the supply chain networks should be applying basing on the new innovations with the advent of models and theoretical concepts. This write up for the paper was meant to look at literature complex characteristics of supply chain network and then avail invulnerability mechanism of supply chain network. The results for the approach was considered effective and efficient for a practical understanding of benefits and challenges from the analysis which further was to increase the invulnerability of supply chain network. This work has important practical significance drawn from the literature for the supply chain management and optimization in the supply chain network of the market. KEYWORDS:Supply Network Analysis; Business process engineering; risk management, market security, optimization, Total quality management and modes of transportation.
... Relief actors can achieve this objective by distributing aid to those in need (Besiou et al., 2011;Blecken, 2010). Supply chain problems, such as unexpected changes in the flow of materials due to delays or disruptions, result from risks (Chopra and Sodhi, 2004). The presence of risk in supply chains is not a novel phenomenon, as "doing business requires the acceptance of some level of risk within organizations" (Olson and Wu, 2010). ...
Full-text available
Purpose Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations. Design/methodology/approach This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments. Findings This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors. Research limitations/implications This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains. Practical implications The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system. Originality/value This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.
... SC resilience can be defined as the ability to survive, adapt, and develop while facing disruptions (Fiksel, 2006;Pettit et al., 2010;Brusset et al., 2017). Natural disasters, wars, strikes, and economic crises are an example of disruptions significantly affecting SC processes (Chopra and Sodhi, 2004;Wagner and Bode, 2008). According to Brandon-Jones et al. (2014), the more complex and bounded the external environment is, the more likely is to observe disruptions, unexpected events, and contingencies. ...
Supply chain digitalisation plays a critical role for companies operating in engineering-to-order industries, striving to increase their competitiveness and profitability. The main objective of this paper is to investigate the adoption of Industry 4.0 technologies in the shipbuilding sector and how they affect the supply chain resilience capabilities drawing on the resource-based view theory and dynamic capabilities. A multiple case study was conducted, and eleven Italian companies belonging to different levels of the shipbuilding supply chain were interviewed. The results show that the main interest reserved for integrating resilience capabilities and innovative technologies is to enhance market position, knowledge and information sharing, and supply chain design and integration. Finally, this contribution can support companies, policymakers, and researchers in identifying and implementing specific digitisation pathways for shipbuilding companies. In addition, this contribution can support the identification of policy measures for the industry with a focus on digitisation and collaboration with universities and research centres, that are crucial aspects for engineering to order industries, including shipbuilding.
... Joseph (2004) applied physical, financial, informational, and relational innovational identification. Chopra and Sodhi (2004) studied supply risks, catastrophes, systems, forecast, intellectual property, inventory and capacity. Sodhi and Lee (2007) identified demand, supply, and contextual risks in the consumer electronics industry. ...
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Forest supply chain has drawn increasing attention worldwide. This paper develops a supply chain risk (SCR) framework in the forest industry. Forest supply chain risk has become an obstacle to gaining competitive advantages and developing sustainable forestry. However, very few studies attempt to investigate SCR in an integrated forest supply chain. It is essential to understand and manage these risks, which may impede the industry’s performance improvement. An extensive literature review, and Delphi study are performed to develop and identify the major forest SCRs. The result has shown that the five types of forest SCRs is recognized. In this study, we extend SCR into forest sector and contribute to the forest supply chain management literature. Further research is needed to address specific problems associated with types of SCRs and develop appropriate forest SCR mitigation strategies in contexts.
Purpose: There is a growing interest in the role of flexibility in manufacturing companies, especially in its relevance to managing business uncertainties. Several studies have been conducted on manufacturing flexibility, but no study has examined a possible support practice among the practices of manufacturing flexibility. This study explores that literature gap in a Sub-Saharan business environment. Design/methodology/approach: This study adopts a cross-sectional survey approach and criterion sampling method to select and administer its research instrument to respondents of the study. The sample size was 416, and the hypotheses were tested via the structural equation model. Findings: Study revealed that mix flexibility had a direct impact on supply uncertainty; production flexibility had a direct impact on supply uncertainty; and product flexibility had direct and indirect impact supply uncertainties. Volume flexibility is the only flexibility dimension with no impact on supply uncertainty, both directly and indirectly. In addition, product flexibility is the only practice with indirect impact on supply uncertainty. Practical implications: Managers can adopt manufacturing flexibility to combat supply uncertainty. Funding production and product flexibility will enhance capacities in managing supply uncertainties. Managers should establishing product flexibilities prior to other forms of flexibilities. Practitioners considering implementing one dimension can employ production flexibility to limit supply uncertainty, because it has the most impact on supply uncertainty individually. Originality/value: This study contributes to literature by uniquely examining manufacturing flexibility impact on supply uncertainty exclusively. It is also the first empirical investigation into supporting practices among manufacturing flexibility practices in any business environment. Keywords: Manufacturing, Flexibility, Uncertainty, Production.
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In our day to day life we consume food and our survival is predicated on mainly food. A considerable amount of our food is coming from farms and other means too. These farmers do their hard work for growing and serving many lives across the country, which pays for their source of income. But thanks to intermediates within the selling of their final products the farmers are unable to form their profit and mostly live poor. By this project we will be able to connect farmers directly to the customer so that direct dealing of products can be accomplished. This will end in a big decrease within the prices of the products currently available within the market also because the profit will directly reach the farmers pocket..
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The management of supply chains in the new time that will open once the coronavirus SARS-CoV-2 (COVID-19) pandemic is overcome will tend to give a key importance to risk management. It will mean greater chain visibility, and greater collaboration momentum will be needed, in order to diligently take consensual action. The objective of this article is to provide a theoretical approach to the integration of supply chain security risk management to the organizational system with a focus on customer service as a key logistics activity. For this, theoretical modeling was used with a systemic, structural approach with logical consistency adapted to elements of logistics and internal control. Links are established between the supply chain security system and the internal control system, focused on logistics flows in an organization. It is determined that, in terms of supply chains, it will be effective to manage risks with a focus on customer service, from the reduction of the five existing gaps in this environment. It is concluded that the integration of supply chain security risk management is a quality that seeks the effectiveness of these systems in organizations with a focus on customer service, integrated with internal control, thus achieving a better capacity of immediate response to the demands of the supply networks.
The automobile industry is the pillar industry of the national economy. The good operation of the automobile supply chain is conducive to the sustainable development of the economy and social economy. In recent years, the popular research of automotive supply chain disruption risk management has been widely of concern by both business and academic practitioners. It is observed that most of the literature has focused only on a particular journal or field; there is a distinct lack of comprehensive bibliometric review of two decades, of research on automotive supply chain disruption risk management. This paper delivers a comprehensive bibliometric analysis that provides a better understanding not previously fully evaluated by earlier studies in the field of automotive supply chain disruption risk management. We used the 866 journal article during the period between 2000 and 2022 from the WOS database as sample data. Highlights research topics and trends, key features, developments, and potential research areas for future research. The research problems we solved are as follows: (1) Over time, how does the research in the field of automotive supply chain disruption risk management progress? (2) Which research areas and trends are getting the most attention in the field of automotive supply chain disruption risk management? (i) to recognize the scholarly production; (ii) the most productive authors; (iii) the most productive organization; (iv) the most cited articles; and (v) the most productive countries. (3) What is the research direction of automotive supply chain disruption risk management in the future? Also discusses the shortcomings of literature and bibliometric analysis. These findings provide a potential road map for researchers who intend to engage in research in this field.
Supply chain risk management (SCRM) is of growing importance, as the vulnerability of supply chains increases. The main thrust of this article is to describe how Ericsson, after a fire at a sub-supplier, with a huge impact on Ericsson, has implemented a new organization, and new processes and tools for SCRM. The approach described tries to analyze, assess and manage risk sources along the supply chain, partly by working close with suppliers but also by placing formal requirements on them. This explorative study also indicates that insurance companies might be a driving force for improved SCRM, as they now start to understand the vulnerability of modern supply chains. The article concludes with a discussion of risk related to traditional logistics concepts (time, cost, quality, agility and leanness) by arguing that supply chain risks should also be put into the trade-off analysis when evaluating new logistics solutions – not with the purpose to minimize risks, however, but to find the efficient level of risk and prevention.
Our aim was to contrast the psychosocial profiles of patients with gastro-oesophageal reflux disease whose symptoms correlate well with acid reflux against those whose symptoms do not. One hundred and one patients presenting with heartburn for the first time underwent oesophageal pH monitoring, and 82 (81%) experienced symptoms during the recording. On the basis of how well their symptoms correlated with acid reflux, patients were divided into symptom-positive and symptom-negative groups. These two groups were then compared on the basis of four questionnaires looking at different psychosocial factors. Symptom-negative patients displayed significantly higher levels of trait anxiety (44.5 versus 38.7; p < 0.05) and hysteria (5.6 versus 4.1; p < 0.05). The adequacy of their social support structures was significantly lower (6.2 versus 7.3; p < 0.05). No difference in daily hassles or uplifts was found. Significant psychosocial differences are noted in patients with poor symptom-reflux correlation. These differences may help explain the aetiology of such patients' symptoms.
Damage to Chip Makers Puts Sourcing in Spotlight
  • B Johns
B. Johns, "Damage to Chip Makers Puts Sourcing in Spotlight," Journal of Commerce, Jan. 30, 1995, p. 1A.
FBI Hunts 'Love Bug' Source: Damage From E-mail Source Cuts Across USA and Worldwide
  • K Maney
  • M J Zuckerman
K. Maney and M.J. Zuckerman, "FBI Hunts 'Love Bug' Source: Damage From E-mail Source Cuts Across USA and Worldwide," USA Today, May 5, 2000, sec. A, p. 1.
Fire Hits Parts Supply Network at Toyota
  • M Nakamoto
M. Nakamoto, "Fire Hits Parts Supply Network at Toyota," Financial Times, Feb. 4, 1997, p. 34.
Retailers Scramble To Keep Stores Stocked
  • A Zimmerman
  • A Merrick
  • O Sook
A. Zimmerman, A. Merrick and O. Sook, "Retailers Scramble To Keep Stores Stocked," Wall Street Journal, Oct. 21, 2002, sec. B, p. 1.
Backup Systems Passed Trying Test; Despite Scale of Destruction, Wall St. Data Largely Saved
  • J Gillis
J. Gillis, "Backup Systems Passed Trying Test; Despite Scale of Destruction, Wall St. Data Largely Saved," Washington Post, Sept. 27, 2001, sec. E, p. 1. 13. "Nokia Feels the Squeeze From Shortage," Off the Record Research, Nov. 13, 2003.
Inside Track: Making It Safe To Rely on a Single Partner
  • T Lester
T. Lester, "Inside Track: Making It Safe To Rely on a Single Partner," Financial Times, Apr. 1, 2002, p. 7.