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THE IMPACT OF FAILED HOME DELIVERIES ON CARBON EMISSIONS: ARE COLLECTION / DELIVERY POINTS ENVIRONMENTALLY-FRIENDLY ALTERNATIVES?

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Abstract

Purpose This paper is concerned with the environmental impact of online retail logistics. It has two aims: First, it assesses the additional carbon emissions generated by failed delivery (as opposed to a successful first-time delivery to the home) on a per drop basis, and second, it considers the potential environmental savings from the use of alternative collection/delivery locations over traditional delivery methods. Research approach The research uses the carbon audit model outlined by Edwards et al. (2009) to calculate the CO2 emissions for failed delivery; the analysis is based on a typical van home delivery round of 120 drops and 50-mile distance range. Three first-time failed delivery rates of 10%, 30% and 50% are considered. For each of these rates, emissions are calculated for an additional second delivery attempt. Normally the two delivery attempts are on consecutive days, which results in a high percentage of these deliveries also failing (we assume 50% of re-delivery attempts fail to be consistent with McLeod & Cherrett, 2009). The customer is then required to travel to the local depot to collect the missed package. The CO2 implications of the above scenarios are investigated. Further carbon calculations are performed for various alternative collection/delivery points, based on survey data by Song et al. (2009). Findings and Originality When the freight component of failed delivery is assessed the additional CO2 from a second delivery attempt increases the emissions per drop by between 9 and 75% (depending on the proportion of failed deliveries in the initial round). The vast majority of emissions associated with traditional failed delivery arise not from the repeat van delivery but from the personal trip to the local depot by an individual collecting the missed re-delivery. In the worst case scenario, after two failed delivery attempts, a home shopper may generate 8,300gCO2 by making a car-based journey of 40km to a local depot. Alternative collection/delivery points can reduce the environmental impact of this personal travel. Supermarkets, railway stations and post offices as alternative collection/delivery points each offer distinct advantages to consumers, and all lessen the CO2 emissions from failed home deliveries. Post offices, owing to their extensive network, present the greatest savings, with failed deliveries diverted there emitting just 13% of the CO2 emitted when packages are sent back to the depot for traditional collection. Research impact Unlike much of the previous research on this topic which assesses the economic consequences of failed deliveries to the home, this paper examines the issue of failed delivery from a carbon auditing point of view. Importantly, the work highlights that the vast majority of CO2 emissions are generated by a customer travelling to a local depot to collect a missed delivery. Collection/delivery points offer an alternative for the consumer that appears to be more environmentally-friendly. Practical impact To date the take-up of alternative collection/delivery points has been slow, though with potentially a million online shoppers collecting missed deliveries each year, collection/delivery points could make a major contribution to reducing the environmental impact of online shopping. References Edwards, J.B., A.C.McKinnon & S.L.Cullinane (2009), Carbon Auditing the ‘Last Mile’: Modelling the Environmental Impacts of Conventional and Online Non-food Shopping, Green Logistics Report, Heriot-Watt University. McLeod, F. & T.J.Cherrett (2009), Quantifying the environmental benefits of collection/delivery points, Journal of Operational Research Society (forthcoming). Song, L., T.Cherrett, F.McLeod & W.Guan (2009), Addressing the last mile problem – the transport impacts of collection / delivery points, paper given to the 88th Annual Meeting of the Transportation Research Board, Washington.
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THE IMPACT OF FAILED HOME DELIVERIES ON CARBON
EMISSIONS: ARE COLLECTION / DELIVERY POINTS
ENVIRONMENTALLY-FRIENDLY ALTERNATIVES?
Julia Edwards, Alan McKinnon, Tom Cherrett, Fraser McLeod, Liying Song
Julia Edwards1, Alan McKinnon1, Tom Cherrett2, Fraser McLeod2, Liying Song3
1Logistics Research Centre, Heriot-Watt University,
2Transportation Research Group, School of Civil and Environmental Engineering, University of
Southampton
3School of Traffic and Transportation, Beijing Jiaotong University
Introduction
There has been phenomenal expansion of online shopping in recent years, with growth rates
exceeding 35% year-on-year (IMRG, 2008). Retail sales for this channel now account for £18.5bn in
the UK (Mintel, 2008). IMRG (2008) estimates that 820 million parcels were delivered to UK online
shoppers in 2008. This delivery experience is critical to the success of online shopping.
General consensus among consumers is that online shopping is good for the environment (IMRG,
2008; Royal Mail, 2007), yet consideration needs to be given to the frequency and treatment of failed
deliveries. Not only are unsuccessful deliveries costly and time-consuming for both retailers and
carriers and inconvenient for the consumer, they also have a detrimental effect on the environment
(Webster, 2007). Increasingly many people are not-at-home to receive deliveries during the working
day, when most home delivery companies operate (Prologis, 2008). As a result, it has been estimated
that half of households are unoccupied between the hours of 9.00 and 16.00 (Retail Logistics Task
Force, 2001). Therefore, it is not surprising that the majority of respondents, who have experienced a
failed delivery, report that it was because no one was at home to receive the package (IMRG, 2008). It
is mainly parcel carriers which must cope with this failed delivery problem.
The aim of this paper is first, to assess the additional carbon emissions generated by failed delivery
(as opposed to a successful first-time delivery) on a per drop basis and second, to consider the
potential environmental savings from the use of alternative collection/delivery locations over traditional
delivery methods.
Frequency of failed delivery
There are several variations to the traditional home delivery method but generally, goods are ordered
by the customer and delivered to a location of their choosing, using relatively narrow time windows
defined by the retailer. If the delivery fails because no-one is at the address to receive the item, the
carrier may make several re-delivery attempts as part of the round. If these also fail, the recipient is left
a notification card detailing a number of options, typically that:
l The item has been left with a neighbour;
l The item has been left somewhere outside the premises (unsecured delivery);
l The item has been returned to the carrier’s depot and further instructions are required from
the intended recipient. (Under these circumstances, the recipient can request a further
redelivery attempt which could be chargeable, or could visit the carriers’ depot personally to
collect the item).
Actual first-time delivery failure rates1 among carriers vary considerably; Beveridge (2007) indicated a
range between 2-30%, depending on the carriers’ policies for dealing with ‘no-one-at-home’. Some
parcel delivery companies achieve very high first-time delivery rates (McKinnon & Tallam, 2003), as
they are prepared to leave deliveries in alternative locations, (e.g. with neighbours or in ‘unsecure’
areas around the premises). According to IMRG (2008), 84% of online shoppers report that they
would be happy for a neighbour to receive their delivery on their behalf. Other carriers require proof-
of-delivery, and consequently have a much higher delivery failure rate when no-one is available at the
delivery address. As a result of these different delivery arrangements, estimates of first-time delivery
1 IMRG (2008, p.25) define a first-time delivery failure “as a delivery for which a signature cannot be
obtained, either from the customer or a designated customer representative, and this results in the
customer's address being carded and the item returned to the delivery depot for either redelivery or
customer collection”.
14th Annual Logistics Research Network Conference, 9th 11th September 2009, Cardiff
103
failure rates vary widely from 6 out of every 10 small-package deliveries (Retail Logistics Task Force,
2001) to a more conservative one in nine (IMRG, 2008).
Quantifying CO2 emissions for failed delivery
Methodology
This research uses the carbon audit model outlined by Edwards et al. (2009) to calculate the CO2
emissions from failed deliveries. Emissions factor data from Defra (2008), NAEI, (2008), RHA (2008)
and FTA (2008) have been used to derive an average emissions factor for van-based home deliveries.
The analysis presented here is based on a typical van2 home delivery round of 120 drops and 50-
miles distance. Having already noted the wide variations in failed deliveries, three ‘first-time’ failed
delivery ratios were considered:
10%, similar to the 12% assumed by Weltevreden & Rotem-Mindali (2008), and recorded by
IMRG (2008);
30%, in line with findings by McLeod & Cherrett (2006), Song et al. (2009) and Belet et al.
(2009);
50% failure rate (worst case scenario) of a magnitude noted by Retail Logistics Task Force
(2001).
Low first-time failure rates of approximately 2%, achieved by parcel companies practicing unsecured
deliveries, and couriers who have made prior arrangements with regular customers in the event of
failures are not considered here. In these delivery cases, there will be only a very marginal increase in
carbon emissions.
For each of the three different first-time failure rates, emissions are also calculated for a second
attempted drop (the customer is notified of the intended re-delivery). Normally, the two delivery
attempts are on consecutive days, which results in a high percentage of second, re-delivery attempts
also failing, assumed to be 50% in this research (in accordance with McLeod & Cherrett, 2009). Often,
the customer will then travel to the local depot to collect the missed package rather than arrange for
another delivery attempt which could be at additional cost. The CO2 implications of the above
scenarios have been analysed.
Only 5% of people would wish to nominate a local depot as an alternative delivery address (Retail
Logistics Task Force. 2001) implying that the location of a typical depot is inconvenient for the majority
of online customers. Therefore, we can assume that most customers collect undelivered packages
either by car or by public transport with previous surveys suggesting that the vast majority of these
trips (87%) are by car (McLeod & Cherrett, 2006). Defra’s emission factors (CO2 per km travelled) for
average car and bus journeys have been used to calculate the emissions generated by these
individual trips (Defra, 2007).
Three different collection depot scenarios were modelled (being 15km, 25km and 40km away from the
average home) are examined, in accordance with Clements (2005); McLeod & Cherrett (2009) and
Song et al. (2009) respectively. Further, as customers wherever possible will wish to minimise both the
time and expense involved in retrieving a missed delivery from a depot, we assume that they will try to
combine collection with other activities (a non-dedicated trip). Few previous studies have examined
consumer travel behaviour in relation to missed deliveries. Turner (2007) found that out of a sample
of 167 visitors collecting failed home deliveries at a Royal Mail sorting office, 62% drove and 60%
claimed to be making dedicated trips (no trip chaining on either leg). 84% said that this was their usual
response to a failed home delivery (personal collection). Parcel carrier depots are often more distant
and not as accessible as Royal Mail sorting offices. As a result, we assume that only 50% of the
overall return trip from customer’s home to the depot is allocated to the collection of the missed
package, and that most people will travel by car.
Results
Edwards et al. (2009) modelled carbon emissions for a standard home delivery round. Assuming
average delivery rates of 120 drops over a typical 50km round, it was calculated that a successful first-
time drop emitted 181gCO2. Using this emissions value per drop as a base, re-calculated emissions
generated for the different first-time failed delivery rates are shown in Table 1. The additional gCO2
2 A van denotes a light goods vehicle up to 3.5-tonnes maximum permissible gross vehicle weight of
van-type construction on a car chassis that operates on diesel fuel.
104
attributable to delivery failures arise from subsequent delivery attempts and the extra vehicle mileage
they generate. We assume that re-delivery attempts as part of the same round are subsumed within
the initial round length.
100%
successful
first-time
delivery
10%
failure
rate
30%
failure
rate
50%
failure
rate
gCO2 per
drop 181g 199g 235g 271g
Table 1: First-time van-based delivery: Emissions (gCO2) per drop
Emissions of CO2 per average drop increase from 181g for 100% first-time delivery to the worst-case
scenario of 271g when one in two deliveries are assumed to fail. Moreover, when a parcel carrier
finds no one at home at the first attempt, most delivery companies repeat the delivery 24-hours later.
Customers normally out during the working day, therefore, have very little advance notice to arrange
receipt of the package; consequently, the second attempt often fails, compounding the effects of the
initial failed delivery (Table 2). It has been assumed that regardless of initial delivery failure rates, half
of all second attempts fail.
1st delivery attempt failure rate
(plus 50% 2nd delivery failure)
10% failure
rate 30% failure
rate 50% failure
rate
gCO2 per
drop 208g 262g 316g
% increase
over base
case 15% 45% 75%
Table 2: Re-delivery factoring in a 50% failure rate: Emissions (gCO2) per drop
When a carrier experiences a 50% delivery failure rate for both first and second delivery attempts,
each drop in a typical round would be allocated 316gCO2 or approximately three-quarters more CO2
per drop than a successful first-time delivery.
Normally after two failed delivery attempts the parcel carrier returns the package to a local depot for
the individual to collect. While 15% of online shoppers claim not to visit a parcel depot to collect a
missed delivery (IMRG, 2008), Department for Transport (2009) estimate that around 3% of all home
delivery recipients make a trip to retrieve an item left at a post-office, depot or outlet. In comparison, in
a survey of 379 households across West Sussex, Song (2008) found that 21% of respondents claimed
to have travelled to a carrier’s depot for the purpose of collecting failed home deliveries between 3 and
11 times per year. When these individual trips are undertaken by private cars or public transport
(buses), the carbon intensity of online retailing rises steeply.
Distance to local depot
gCO2 per trip 15km 25km 40km
Car 3,113g 5,188g 8,300g
Bus 1,340g 2,234g 3,574g
Table 3: Emissions (gCO2) per consumer trip to a local depot to collect a missed delivery3
Table 3 shows the CO2 emissions produced by a customer travelling to a local depot of varying
distance from the point of origin to collect packages. Generally, local depots, often on the outskirts of
urban centres for ease of access to the road network, serve much wider areas than their immediate
3 It was assumed that a customer used a standard car of unknown fuel
14th Annual Logistics Research Network Conference, 9th 11th September 2009, Cardiff
105
conurbation. Consequently, the greater the distance a customer has to travel to the local depot, the
more CO2 will be generated by that trip. Clearly, using a car to make a 40km journey to bring back a
missed delivery will produce 8,300gCO2 (or the equivalent of 26 re-delivery attempts by delivery van,
when half of first and second-time deliveries fail) (Table 3). When the bus is the chosen mode of
travel to a depot, the consumer (assuming the bus has average patronage of 9.2 passengers) will be
responsible for 3,574g (or 11 times the amount of CO2 generated by the two missed parcel deliveries)
for the 40km journey. Even the shorter distance of 15km, representing for example an individual’s city
centre-to-suburb trip to collect a package, will generate 3,113gCO2 by car and 1,340gCO2 when the
journey is undertaken by bus. The individual trip to the local depot accounts for the vast majority of
the CO2 emissions associated with the failed delivery. Therefore, minimising the emissions associated
with personal consumer travel to the depot is key to mitigating the overall environmental impact of
failed deliveries.
Alternative collection/delivery points (CDPs)
Failed deliveries are clearly undesirable from a number of viewpoints:
l The carrier incurs additional costs in trying to make further attempts to deliver (related to the
associated logistics and call centre charges which have been estimated to be up to £38.50
for each delivery failure (IMRG, 2006)),
l The customer is inconvenienced and may have to travel to the carrier’s depot personally to
collect the item,
l There are wider environmental impacts due to the additional vehicle trips made by carriers
and consumers.
With such a large proportion of failed deliveries, different delivery solutions have emerged, allowing
carriers to drop consignments without the need to obtain the final customer’s signature. One solution
is to deliver packages to secure storage boxes, sometimes fitted as an integral part of the house, or
secured to an outer wall, or for communal use in the form of locker banks (Giraffe Marketing, 2004;
Bearbox, 2004; ByBox, 2004). Another solution is for the carrier to take failed deliveries to a local
attended ‘collection/delivery point’ (CDP), which could be a shop, a petrol station or a post office. The
customer is left a card, or could in principle be sent an email or a text message, to inform them where
to collect their package. This delivery method is now used by Royal Mail and Parcel Force in the UK
using specific post offices as CDPs whilst other examples use grocery stores, newsagents and petrol
stations. Kiala has 5000 CDPs across Europe with outlets in the UK, Belgium, Germany, Austria,
Spain, The Netherlands, Luxembourg and France while Pickpoint has a network of CDPs across
Germany. A similar system using convenience stores operates successfully in Japan (Chopra, &
Meindl, 2003).
A delivery policy which automatically took failed first-time home deliveries to the customer’s nearest
CDP, if such a network of attended or unattended points were available, could benefit all parties and
reduce the aggregate mileage associated with either redelivering or collecting failed consignments.
This would need the customer’s agreement in advance and for a preferred CDP to be identified at the
point of sale, to be used by the carrier in the event of the failed first-time delivery.
Quantifying CO2 implications from using alternative collection/delivery points (CDPs)
The type of alternative CDP and typical distances from a consumer’s home are listed in Table 4, after
Song et al. (2009) who looked at the impacts on householder collection mileage from using different
densities of CDP across West Sussex. The increased CO2 per average drop (compared with a
successful standard delivery) reflects the additional distance travelled when a parcel carrier deviates
from a round to drop failed deliveries at the CDP before returning to base. It was assumed that no
deliveries were taken back to the depot, as they would either be delivered to the intended recipient
first-time or taken to their nearest CDP, for the customer to collect. Extending an average delivery
round by 6.5km to deposit failed deliveries at a Tesco Extra store would result in each drop being
allocated an extra 23gCO2 while the relatively short additional mileage to a post office (1.2km) would
add just 4gCO2 to each drop. The carrier benefits from having denser networks of CDPs as this
minimises the length of the diversions that vehicle make in the event of delivery failures.
106
The results suggested that compared with a standard failed delivery4, all the alternative CDPs offered
significant CO2 reductions due to the consumer having to travel less distance (on average) to collect
failed first-time deliveries, against travelling to the carriers local depot. Even greater CO2 savings
could be achieved by incorporating a collection into a normal travel routine. Belet et al. (2009)
reported that end consumers could reduce CO2 emissions per parcel by as much as 83% when items
were retrieved from CDPs as part of a trip chain.
Overall, the results suggested that the local post office was the most environmentally-favourable
location for a CDP, as a package left there would be responsible for just 13% of the CO2 generated by
a collection from a carrier’s local depot. This reflects the relatively high density of post offices and
short average distance to customers’ homes (1.2km) across the sample West Sussex householders.
A high proportion of customers can walk to post-offices to collect packages, and 40% of householders
in the West Sussex sample stated that walking would be their preferred mode to collect packages from
their local CDP (Song et al., 2009). Additional CO2 emissions associated with the walking trip are very
difficult to calculate and are normally excluded from carbon auditing calculations.
Rail commuters could also collect packages from railway stations as part of their daily commute, in
effect eliminating the additional customer trip to the CDP. Large supermarkets as potential CDPs,
although located the greatest distance from the average householder (6.5km), are regular destinations
for shoppers and the collection of a failed delivery could easily be incorporated into a more general
grocery trip (with minimal additional travel on the part of the consumer). Moreover, unlike post offices,
many of the larger supermarkets have extended (and sometimes 24-hour) opening hours.
Type of
collection/
delivery
point
Average
distance
(km) from
customer’s
home
CO2 per
average
drop
(including
additional
km to
C/DP)
CO2 for consumer trip
to Collection/Delivery
Points
Car Bus
% CO2 per
C/DP drop
compared
with
traditional
delivery
Tesco
Extra 6.5 204g 1,349g 581g 47%
Other
supermark
ets1
1.6 186g
332g 143g
16%
Average
supermark
et
4.0 195g
830g 357g
31%
Post office 1.2 185g 249g 107g 13%
Railway
station 3.2 192g 664g 664g 26%
1From ASDA, Morrison, Sainsbury, Waitrose
Table 4: Emissions (gCO2) per consumer trip to alternative CDPs
Conclusions
Various traditional failed delivery scenarios have been examined, based on different realistic failure
rates for home delivery. When only the freight component of failed delivery is assessed, the additional
CO2 from the second delivery attempt increased the emissions per drop by between 9 and 75%.
However, the vast majority of emissions associated with traditional failed delivery arise from the
personal trip to the local depot by an individual collecting the missed package. In the worst case
scenario, 8,300gCO2 is produced by a car journey of 40km to a parcel carrier’s depot, which is
equivalent to 26 re-delivery attempts by a delivery van. In addition to the environmental effects, these
collection trips are inconvenient and costly for the customer.
As a result, viable alternative delivery methods have the support of consumers: 78% of respondents
said that they would use a carbon-friendly delivery alternative over a traditional method when available
(IMRG, 2008). This research has highlighted the potential CO2 savings from the use of alternative
4 The calculation for a standard failed delivery assumes 30% of first-time deliveries fail, 50% of the re-
attempts fail and a customer, having been notified of the unsuccessful second delivery attempt, makes
a 15km trip by car to collect the package from the holding local depot.
14th Annual Logistics Research Network Conference, 9th 11th September 2009, Cardiff
107
CDPs for failed deliveries. Supermarkets, railway stations and post offices each offer distinctive
benefits for consumers, and all lessen the CO2 emissions from failed home deliveries. Post offices,
owing to their extensive network, present the greatest savings. It should be remembered that smaller
CDPs (e.g. post offices and corner shops) have limited capacity for receiving packages and if such a
system was to be adopted more widely, particularly as a first-time delivery address, storage, handling
and security issues might arise.
While the research presented here considers only the potential CO2 savings for failed deliveries, CDPs
can also be well-positioned to receive products that consumers are returning. To date the take-up of
alternative CDPs has been slow, though with potentially a million online shoppers a year having to
collect orders that carriers were not able to delivery to the home (Department for Transport, 2009),
CDPs could make a major contribution to reducing the environmental impact of online shopping.
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.
... From the point of view of urban transport planners, failed deliveries mean an increase in vehicle kilometres travelled (VKT) by consumers (to collect or return parcels) and freight carriers (to redeliver parcels), thereby worsening urban transport problems (Belet et al., 2009) and the quality of the urban environment (Esser and Kurte, 2006;Edwards et al., 2009). To reduce the number of failed home deliveries, several studies (e.g. ...
... Post offices have been the standard locations to set up CDPs due to their extensive networks, and have proved to be successful in reducing VKT and air pollution (Edwards et al., 2009). However, Morganti et al. (2014b) argued that an ideal location for establishing CDPs is near a railway station and a major transport terminal. ...
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The current and projected trends of growth in online shopping might change the activity and travel patterns in Christchurch, one of the largest cities in New Zealand. Online shopping might reduce consumers’ shopping trips, but it has substantially increased courier companies’ trips to deliver parcels to the end-consumers, because a considerable proportion of parcels are often required to be redelivered due to consumers not being at home during the first delivery attempt. This also adds to the operational cost of courier companies and adverse traffic impacts. To mitigate these issues, Collection-and-Delivery Points (CDPs) have recently been introduced in New Zealand, on a trial basis. This study aims to identify the optimal density and locations for establishing CDPs in Christchurch, using a modified p-median location-allocation (LA) model. A consumer-centric approach to locating CDPs has been adopted by considering the socio-demographic characteristics of Christchurch’s residents and the distances to/from CDPs. Non-traditional CDP locations (e.g. supermarkets and dairies) were considered as potential candidate facilities and were found to be more suitable as CDPs than traditional post shops. Based on consumers’ shopping pattern, supermarkets appeared to be the most frequently visited and preferred type of facility to be used as CDPs. However, the results of the LA analyses show that dairies are the most accessible locations, and CDPs at dairies located within two kilometres will encourage consumers to walk and cycle to receive their parcels from CDPs. The results suggest the optimal location configuration for each type of facility considered, based on their spatial distribution in the city.
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This paper presents a review of recent trends in urban fright transportation, especially the typical last mile for logistic service providers. The high increase in shipped parcels over the last and presumably future years makes it necessary to particularly tackle the special logistical issues in large urbanized cities. Of course, one leading factor of this effect is the massive increase in online orders and the resulting deliveries. The advanced delivery concepts, which will be highlighted, try to overcome typical image in most urbanized cities, like congested roads, dangerous parking of delivery vans, high environmental effects, etc. The aim of this work is to present and analyze some of the recent trends in the last mile delivery to show their strengths and weaknesses. Especially, the impact of fast fulfillment offers, parcel lockers or stations, and advanced delivery vehicles like electric vans and bicycles or autonomous vehicles is in the focus.
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A home delivery logistics network is able to deliver goods to the home in reusable smart-boxes transported by Driverless Delivery Vehicles (DDV). Since the delivery vehicle does not have a human driver, in this case, how to deliver, pick up and rearrange smart-boxes into the Driverless Delivery Vehicles efficiently during routing? In this paper, we combine the results of works on the high density storage system and the results of works which solve sub-optimally the (n²-1)-puzzle, for to propose a new “Rearrangement While Routing” strategy for a Driverless Delivery Vehicle based on “snake-line arrangement” and “Pull–Push Rearrangement”. Furthermore, we compare our strategy with three other strategies arrangement based on Manhattan Distance, Number of moves and a Hybrid arrangement combined both Manhattan Distance and Number of moves. The results show that the proposed “Pull–Push Rearrangement” is most efficient in terms number of moves and displacements.
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Using a node-based routing and scheduling package, this paper estimates the environmental impacts of using a local railway station as a collection/delivery point (CDP) for small parcel transactions. This delivery option was compared with a typical existing situation where some customers who suffer a failed home delivery attempt decide to travel to the carrier's depot to collect their goods. The modelled results suggested that, at a 20 per cent take-up level, the CDP method would reduce the carbon monoxide emissions associated with the deliveries by around 20 per cent and other emissions (nitrogen oxide, particulate matter, carbon dioxide and hydrocarbons) by between 13 per cent and 15 per cent, with higher savings at higher take-up levels. The customer mileage attributable to the collection was modelled to reduce by up to 33 per cent. Modest travel savings were also found for the carrier.
Thesis
p>Home shopping and delivery services offer customers the opportunity to purchase goods and receive deliveries to their home rather than having to travel to high-street stores. Given the promising future of home shopping and delivery market, many efforts have been devoted to solving the problems currently encountered by service providers and customers which include unsecured deliveries, first-time delivery failures, demands for faster delivery, and product returns. Of major concern in this research are the implications of home delivery failures when there is nobody in to receive the package at the delivery address. Collection/delivery point (CDP) systems are one of the emerging solutions to mitigate failed home deliveries, in which CDPs are used as alternative addresses to receive the packages. Particularly focused on the small package home shopping market, this research has identified and modelled the existing home delivery and CDP methods. The carrier and customers travelling distance incurred in each delivery method was compared. It was then possible to quantify whether the CDP method is an economic solution to improve home delivery operations and the environment. A six-step research method was then developed to achieve those research objectives. Firstly, the existing and emerging home delivery methods were identified from the literature. The second stage consisted of conducting two home delivery surveys in Winchester and West Sussex, respectively. The surveys were'used to identify the home shopping and delivery characteristics of customers. In the third research step, the</p
As the volume of retail sales distributed to the home rises, the proportion of deliveries made when there is no one at home (i.e. “unattended”) is also likely to increase. Traditionally unattended delivery involved leaving orders on the doorstep or with a neighbour. In recent years new systems of secured delivery have been developed, many of them employing reception boxes. This paper classifies the main types of unattended delivery and assesses their relative security. It identifies security problems common to most forms of unattended delivery and examines ways of overcoming them. It also advocates more rigorous analysis of the trade-offs between delivery cost, customer convenience and security, particularly by the new generation of “e-fulfilment’ companies.
Nobody home, Retail Week
  • A Clements
• Clements, A. (2005), Nobody home, Retail Week, pp.22-23, 4 March 2005.
The Manager's Guide to Distribution Costs
• Freight Transport Association (2007), The Manager's Guide to Distribution Costs, FTA. • Giraffe Marketing (2004), Available online at http://www.hippo-box.co.uk/, accessed on 10 October 2005.
Optimising vehicles undertaking waste collection, Final report for the Department for Transport
  • F T J Mcleod
  • Cherrett
• McLeod, F. & T.J.Cherrett (2006), Optimising vehicles undertaking waste collection, Final report for the Department for Transport, September 2006, unpublished, Department for Transport, London.
Internet Retailing: Opportunities and Challenges for the UK's Distribution Property Markets
• National Atmospheric Emissions Inventory (2008), Vehicle Emissions, Version 8, NAEI. • Prologis (2008), Internet Retailing: Opportunities and Challenges for the UK's Distribution Property Markets, Prologis Supply Chain Research Reports, Winter 2008.