Inventory Positioning in Supply Chain Network: A Service-Oriented Approach

This study develops a mixed-integer linear programming model based on a guaranteed service approach for an inventory positioning problem in a supply chain under the base stock inventory policy. Our proposed model aims to determine appropriate inventory positions and amounts and the optimal service l...

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Main Authors: Nguyen Trong Tri Duc, Pham Duc Tai, Jirachai Buddhakulsomsiri
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9869807/
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author Nguyen Trong Tri Duc
Pham Duc Tai
Jirachai Buddhakulsomsiri
author_facet Nguyen Trong Tri Duc
Pham Duc Tai
Jirachai Buddhakulsomsiri
author_sort Nguyen Trong Tri Duc
collection DOAJ
description This study develops a mixed-integer linear programming model based on a guaranteed service approach for an inventory positioning problem in a supply chain under the base stock inventory policy. Our proposed model aims to determine appropriate inventory positions and amounts and the optimal service level for the supply chain to minimize the total cost of safety inventory holding and shortage. Two demand scenarios, based on normal and empirical distributions, are investigated. An extensive numerical experiment is conducted to illustrate the applicability and effectiveness of our model, especially under empirical distribution. The experiment features a practical network structure and demand data from an industrial user. Moreover, to further validate the experimental results from the mathematical model, they are compared with the result from a simulation model, which is constructed to imitate the operations of the supply chain. The comparison result indicates that the model solution under the empirical demand distribution is close to the simulation regarding the difference in the total cost (less than 1%). This solution significantly outperforms the model solution under the normal demand, which results in a significant difference in total cost (more than 25%) compared to the simulation.
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spelling doaj.art-5e2827f425d147aba56edfb3631082392022-12-22T04:26:11ZengIEEEIEEE Access2169-35362022-01-0110929869300210.1109/ACCESS.2022.32029069869807Inventory Positioning in Supply Chain Network: A Service-Oriented ApproachNguyen Trong Tri Duc0Pham Duc Tai1Jirachai Buddhakulsomsiri2https://orcid.org/0000-0003-1028-0950School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Khlong Nueng, Khlong Luang, ThailandSchool of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Khlong Nueng, Khlong Luang, ThailandSchool of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Khlong Nueng, Khlong Luang, ThailandThis study develops a mixed-integer linear programming model based on a guaranteed service approach for an inventory positioning problem in a supply chain under the base stock inventory policy. Our proposed model aims to determine appropriate inventory positions and amounts and the optimal service level for the supply chain to minimize the total cost of safety inventory holding and shortage. Two demand scenarios, based on normal and empirical distributions, are investigated. An extensive numerical experiment is conducted to illustrate the applicability and effectiveness of our model, especially under empirical distribution. The experiment features a practical network structure and demand data from an industrial user. Moreover, to further validate the experimental results from the mathematical model, they are compared with the result from a simulation model, which is constructed to imitate the operations of the supply chain. The comparison result indicates that the model solution under the empirical demand distribution is close to the simulation regarding the difference in the total cost (less than 1%). This solution significantly outperforms the model solution under the normal demand, which results in a significant difference in total cost (more than 25%) compared to the simulation.https://ieeexplore.ieee.org/document/9869807/Base stock policyempirical demandguaranteed service approachinventory positioningmixed-integer linear programmingmulti-echelon inventory system
spellingShingle Nguyen Trong Tri Duc
Pham Duc Tai
Jirachai Buddhakulsomsiri
Inventory Positioning in Supply Chain Network: A Service-Oriented Approach
IEEE Access
Base stock policy
empirical demand
guaranteed service approach
inventory positioning
mixed-integer linear programming
multi-echelon inventory system
title Inventory Positioning in Supply Chain Network: A Service-Oriented Approach
title_full Inventory Positioning in Supply Chain Network: A Service-Oriented Approach
title_fullStr Inventory Positioning in Supply Chain Network: A Service-Oriented Approach
title_full_unstemmed Inventory Positioning in Supply Chain Network: A Service-Oriented Approach
title_short Inventory Positioning in Supply Chain Network: A Service-Oriented Approach
title_sort inventory positioning in supply chain network a service oriented approach
topic Base stock policy
empirical demand
guaranteed service approach
inventory positioning
mixed-integer linear programming
multi-echelon inventory system
url https://ieeexplore.ieee.org/document/9869807/
work_keys_str_mv AT nguyentrongtriduc inventorypositioninginsupplychainnetworkaserviceorientedapproach
AT phamductai inventorypositioninginsupplychainnetworkaserviceorientedapproach
AT jirachaibuddhakulsomsiri inventorypositioninginsupplychainnetworkaserviceorientedapproach