The joint transshipment and production control policies for multi-location production/inventory systems

In this paper, we study the joint transshipment and production control policies for multi-location production/inventory systems in which items are manufactured and stocked at each location to meet incoming demand. We formulate the problem as a make-to-stock queue to gain insight into the following q...

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Main Authors: Bhatnagar, Rohit, Lin, Bing
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/144566
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1445662023-05-19T07:31:16Z The joint transshipment and production control policies for multi-location production/inventory systems Bhatnagar, Rohit Lin, Bing Nanyang Business School Business::Operations management Inventory Transshipment In this paper, we study the joint transshipment and production control policies for multi-location production/inventory systems in which items are manufactured and stocked at each location to meet incoming demand. We formulate the problem as a make-to-stock queue to gain insight into the following questions: (1) How much demand at a location should be covered by transshipment from other locations, and when to produce or stop production? (2) Is there a simple structure associated with the optimal policy, and whether a simple decision rule can be implemented for transshipment control? (3) Can effective heuristic policies be developed to solve the multi-location problems? For the two-location problem, we characterize the optimal policy as monotone switching-curve policy. To address the multi-location problem, we develop two heuristic policies. One is obtained from the one-step policy improvement based on policy iteration and the other from the one-step lookahead method based on the approximation of the optimal cost function. Numerical examples are used to illustrate the optimal and heuristic policies and compare their performance for various cases. Accepted version 2020-11-13T01:24:04Z 2020-11-13T01:24:04Z 2018 Journal Article Bhatnagar, R., & Lin, B. (2019). The joint transshipment and production control policies for multi-location production/inventory systems. European Journal of Operational Research, 275(3), 957-970. doi:10.1016/j.ejor.2018.12.025 0377-2217 https://hdl.handle.net/10356/144566 10.1016/j.ejor.2018.12.025 3 275 957 970 en European Journal of Operational Research © 2018 Elsevier B.V. All rights reserved. This paper was published in European Journal of Operational Research and is made available with permission of Elsevier B.V. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business::Operations management
Inventory
Transshipment
spellingShingle Business::Operations management
Inventory
Transshipment
Bhatnagar, Rohit
Lin, Bing
The joint transshipment and production control policies for multi-location production/inventory systems
description In this paper, we study the joint transshipment and production control policies for multi-location production/inventory systems in which items are manufactured and stocked at each location to meet incoming demand. We formulate the problem as a make-to-stock queue to gain insight into the following questions: (1) How much demand at a location should be covered by transshipment from other locations, and when to produce or stop production? (2) Is there a simple structure associated with the optimal policy, and whether a simple decision rule can be implemented for transshipment control? (3) Can effective heuristic policies be developed to solve the multi-location problems? For the two-location problem, we characterize the optimal policy as monotone switching-curve policy. To address the multi-location problem, we develop two heuristic policies. One is obtained from the one-step policy improvement based on policy iteration and the other from the one-step lookahead method based on the approximation of the optimal cost function. Numerical examples are used to illustrate the optimal and heuristic policies and compare their performance for various cases.
author2 Nanyang Business School
author_facet Nanyang Business School
Bhatnagar, Rohit
Lin, Bing
format Article
author Bhatnagar, Rohit
Lin, Bing
author_sort Bhatnagar, Rohit
title The joint transshipment and production control policies for multi-location production/inventory systems
title_short The joint transshipment and production control policies for multi-location production/inventory systems
title_full The joint transshipment and production control policies for multi-location production/inventory systems
title_fullStr The joint transshipment and production control policies for multi-location production/inventory systems
title_full_unstemmed The joint transshipment and production control policies for multi-location production/inventory systems
title_sort joint transshipment and production control policies for multi-location production/inventory systems
publishDate 2020
url https://hdl.handle.net/10356/144566
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