International Journal of Inventory Research (Int J Inventory Res)

Publisher: Inderscience

Journal description

The IJIR publishes contemporary, cutting-edge research on all aspects of inventory theory to foster discussion among researchers, practitioners, and educators on the management and control of inventories.

Current impact factor: 0.00

Impact Factor Rankings

Additional details

5-year impact 0.00
Cited half-life 0.00
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.00
Website International Journal of Inventory Research (IJIR) website
ISSN 1746-6962
OCLC 402815644
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details


  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author cannot archive a post-print version
  • Restrictions
    • 6 months embargo
  • Conditions
    • Cannot archive until publication
    • Author's pre-print and Author's post-print on author's personal website, institutional repository or subject repository
    • Publisher copyright and source must be acknowledged
    • Must link to journal webpage and /or DOI
    • Publisher's version/PDF cannot be used, unless covered by funding agency rules
    • Authors covered by funding agency rules, may post the Publisher's Version/PDF in subject repositories after a 6 months embargo
    • Reviewed 10/02/2014
    • Author's post-print equates to Inderscience's Proof
  • Classification

Publications in this journal

  • International Journal of Inventory Research 01/2014; 2(3):189. DOI:10.1504/IJIR.2014.069191

  • International Journal of Inventory Research 01/2014; 2(3):145. DOI:10.1504/IJIR.2014.069187

  • International Journal of Inventory Research 01/2014; 2(3):174. DOI:10.1504/IJIR.2014.069188
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    ABSTRACT: In this paper, we look at several game theoretical models of a supplier-retailer supply chain involving a strategic consumer. The interaction between the players will be investigated using a leader-follower type game known as a Stackelberg game. Two scenarios are considered: 1) no coalition is formed among the players and they act non-cooperatively against each others; 2) a selection of two players form a coalition against the third player. Under the first scenario, we let each player takes turn as leader, and in the second scenario, the coalition takes the leadership position in the game. The effects due to leadership and coalition formation on each player's strategy and profit, especially consumer's welfare, will be investigated and numerical examples provided.
    International Journal of Inventory Research 01/2013; 2(1/2):4 - 26. DOI:10.1504/IJIR.2013.058338
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    ABSTRACT: This paper studies a single-manufacturer single-retailer multi-period fashion supply chain which sells a category of short-life highly fashionable products. The retailer is risk averse and the supply chain is led by the upstream manufacturer. This paper studies two commonly seen contracts in the fashion industry, namely the pure wholesale pricing contract (PWPC) and the markdown money contract (MDMC). The efficient region for the risk averse retailer's optimal ordering quantity for each contract is found and this region will: 1) become smaller if the wholesale price increases (under both PWPC and MDMC); 2) get larger when the markdown money increases (under MDMC). We introduce the concept of 'risk averse quantity reduction level' (RAQRL). Our analytical findings further indicate that: 1) under scenario one in which the manufacturer's goal is to maximise the supply chain's expected profit, the appropriately set MDMC can coordinate the supply chain whereas PWPC cannot; 2) under scenario two in which the manufacturer's goal is to maximise the supply chain's expected profit while ensuring the variance of profit is within a limit, both PWPC and MDMC can coordinate the supply chain.
    International Journal of Inventory Research 01/2013; 2(1/2):63 - 81. DOI:10.1504/IJIR.2013.058341
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    ABSTRACT: A game theoretic approach is used to analyse an inventory problem with two products, stochastic demand, and uncertain supply. The supply chain analysed includes two competing retailers selling two substitutable products and those retailer' suppliers. Retailers face stochastic demand and replenish the inventory from the suppliers. However, both suppliers provide an indeterminate fraction of the quantity requested, due to randomness in capacity and quality. Some customers with unmet demand will substitute that product with one sold by the other retailer. We assume that the retailers are rational players with conflicting objectives. We model the retailers' single period expected payoffs and identify the ordering decisions using Nash strategy. We prove the existence and uniqueness of the Nash solution, and provide results for numerical examples. We analyse the combined impact of product substitution and supply uncertainty on the retailers. Results suggest that supply uncertainties do not always hurt retailers' expected payoffs.
    International Journal of Inventory Research 01/2013; 2(1/2):27 - 43. DOI:10.1504/IJIR.2013.058339
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    ABSTRACT: In this paper we used principles of cooperative game theory to analyse the cooperation (inventory pooling) between multiple retailers replenishing their inventory by full truckload shipments to satisfy a deterministic and constant rate demand of final customers while minimising the associated total transportation and inventory costs. For this model, we derive structural properties of the resulting cost function. We use these to prove not only that it is cost effective to consolidate the shipments between the retailers, but also that this shipment consolidation strategy can be supported by a stable cost allocation, i.e., the core of the associated cooperative game is non-empty. We further identify a stable cost allocation that is shown to give strong incentives for the retailers to cooperate. In the particular case of identical retailers, this allocation coincide with Shapley value and lies at the centre of gravity of the core. In the general case of non-identical retailers, Shapley value is not a core allocation and is compared to our allocation with regards of four criteria: stability, complexity, fairness and practical settings.
    International Journal of Inventory Research 01/2013; 2(1/2):127 - 143. DOI:10.1504/IJIR.2013.058344
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    ABSTRACT: We consider the equilibrium strategies for substitutable product inventory control systems with a random demand in a two-period stationary environment between two retailers. This stationary scenario can be viewed as a dynamic game in a duopoly setting. We formulate the single period game and extend it to the two-period dynamic game. We investigate the existence and uniqueness of the feedback Nash equilibrium with two periods to go. We also suggest a threshold inventory level with two periods to go below which the usual substitution effect on the equilibrium may not be observed. We prove the uniqueness of the equilibrium by imposing more structure on the density function of the demand.
    International Journal of Inventory Research 01/2013; 2(1/2):108 - 126. DOI:10.1504/IJIR.2013.058343
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    ABSTRACT: When unit item costs are high and expected demand during leadtime is low, it may be desirable to implement the (0, 1) inventory policy which calls for ordering one unit when the inventory falls to zero. Under this policy, when demand arrivals constitute a renewal process it may also be desirable to delay the order release (but expedite the orders occurring during the delay period). This paper examines the (0, 1) model by focussing on its probabilistic properties. We first present explicit expressions for, 1) the probability distribution of the expedited orders; 2) the interval over which inventory is positive. Using these results, we introduce a (service-level type) chance-constraint on the number of expedited orders and determine the optimal and finite order delay. We also consider a case where the cost of expediting an order may be difficult to estimate and compute its implied value. More general models that allow non-monotone renewal density and random leadtimes are also presented and analysed.
    International Journal of Inventory Research 01/2011; 1(3/4):262 - 287. DOI:10.1504/IJIR.2011.045385
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    ABSTRACT: Marketing literature has long recognised price elasticity can increase the short term mean demand by as much as 400%. In this paper, we capture this behaviour of demand using a bi-level demand function and address the related inventory management problem. The seemingly simple problem turns out to be difficult to solve optimally. We present optimal and heuristic approaches. We also reformulate this problem by making price and duration as decision variables under profit maximisation environment and present calculus-based solutions.
    International Journal of Inventory Research 01/2011; 1(3/4):288 - 321. DOI:10.1504/IJIR.2011.045386
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    ABSTRACT: Economic production quantities address an important problem in operations management. The objective is to determine the quantity that minimises total cost required to manufacture goods and hold inventories when production is performed incrementally during the manufacturing process. The dynamic impact of costs and demand is often neglected though parameters may vary over time. In this context, optimal control theory goes beyond the suggestion of a numerical approach and allows for an analytical interpretation of optimal solutions. This paper presents a deterministic continuous time approach minimising the net present value of production and inventory holding cost with dynamic parameters. Manufacturing cost per item, holding cost, and demand rate vary over time. Applying Pontryagin's maximum principle, the optimal policy involves intervals of production at the capacity limit with inventory build up, destocking periods, and periods of just-in-time production. A solution algorithm is presented to find the optimal manufacturing quantities and an economic interpretation of an optimal solution is provided.
    International Journal of Inventory Research 01/2011; 1(3/4):248 - 261. DOI:10.1504/IJIR.2011.045384
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    ABSTRACT: We consider a replenishment control system in which product returns play an important role in inventory planning. We focus on the inventory of an individual item that is stored at a single location to meet a constant demand over time. We assume that the total amount of returns accumulated over a period of time can be represented by a compound Poisson process. We further assume that opportunities for inventory disposals or relocation arise occasionally in accordance with a Poisson process. We not only seek to resolve the issues of when to order and how much to order, we also consider the question of when to dispose of excess inventory and by how much. Inventory reductions occur when the opportunity for a disposal arises and the inventory position is deemed too high. After each disposal the inventory position is restored to a specified base-stock level. We develop a cost model of this system and highlight its properties through an extensive numerical study.
    International Journal of Inventory Research 01/2011; 1(3/4):221 - 247. DOI:10.1504/IJIR.2011.045383