Simulation-based lateral transshipment policy optimization for s S inventory control problem in a single-echelon supply chain network
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Balikesir University
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Since it affects the performance of whole supply chain significantly definition of correct inventory control policy in a supply chain is critical. Recent technological development enabled real time visibility of a supply network by horizontal integration of each node in a supply network. By this opportunity inventory sharing among stocking locations is also possible in the effort of cost minimization in supply chain management. Hence lateral transshipment gained popularity and studies seeking the best lateral-transshipment policy is still under research. In this study we aim to compare different lateral-transshipment policies for an s S inventory control problem for a single-echelon supply chain network system. In this work we consider a supply network with three stocking locations which may perform lateral transshipment among them when backorder takes place. We develop the simulation models of the systems in ARENA 14.5 commercial software and compare the performance of the policies by minimizing the total cost under a pre-defined fill rate constraint by using an optimization tool OptQuest integrated in that software. The results show that lateral transshipment works well compared to the scenario when there is no lateral transshipment policy in the network. © 2023 Elsevier B.V. All rights reserved.
Description
Keywords
Inventory, Lateral Transshipment, S, S, Simulation, Single Echelon Supply Chain, Lateral Transshipment, Single Echelon Supply Chain, S, Inventory, Simulation, S S, S, Inventory, Simulation, Lateral transshipment, Single echelon supply chain
Fields of Science
0211 other engineering and technologies, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
14
Source
An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
Volume
10
Issue
1
Start Page
9
End Page
16
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Citations
CrossRef : 12
Scopus : 17
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Mendeley Readers : 54
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