Optimizing multi-echelon inventory with three types of demand in supply chain

Zhuo Dai; Faisal Aqlan; Kuo Gao

doi:10.1016/j.tre.2017.09.008

Optimizing multi-echelon inventory with three types of demand in supply chain

Zhuo Dai, Faisal Aqlan, Kuo Gao

School of Engineering (Behrend)

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

This paper proposes multi-echelon inventory models with three types of demand. The stakeholders consist of a retailer, a plant and a number of middlemen. Because the modes of demand for stakeholders are different, the stakeholders have different inventory modes. Based on these different inventory modes, three models and the procedures to solve these models are developed. In computational experiments, the applicability of the proposed models and procedures is verified. Management insights are summarized through analyzing the composition of average total inventory cost. Finally, the relationship between the parameters and the optimal solutions is investigated by two sensitivity analyses.

Original language	English (US)
Pages (from-to)	141-177
Number of pages	37
Journal	Transportation Research Part E: Logistics and Transportation Review
Volume	107
DOIs	https://doi.org/10.1016/j.tre.2017.09.008
State	Published - Nov 2017

All Science Journal Classification (ASJC) codes

Business and International Management
Civil and Structural Engineering
Transportation

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title = "Optimizing multi-echelon inventory with three types of demand in supply chain",

abstract = "This paper proposes multi-echelon inventory models with three types of demand. The stakeholders consist of a retailer, a plant and a number of middlemen. Because the modes of demand for stakeholders are different, the stakeholders have different inventory modes. Based on these different inventory modes, three models and the procedures to solve these models are developed. In computational experiments, the applicability of the proposed models and procedures is verified. Management insights are summarized through analyzing the composition of average total inventory cost. Finally, the relationship between the parameters and the optimal solutions is investigated by two sensitivity analyses.",

author = "Zhuo Dai and Faisal Aqlan and Kuo Gao",

note = "Funding Information: This work is supported by Jiangxi University Humanities and Social Sciences Research Foundation [Grant No. JJ1541] and by National Natural Science Foundation of China [Grant No. 71462020].",

year = "2017",

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doi = "10.1016/j.tre.2017.09.008",

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journal = "Transportation Research, Part E: Logistics and Transportation Review",

issn = "1366-5545",

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T1 - Optimizing multi-echelon inventory with three types of demand in supply chain

AU - Dai, Zhuo

AU - Aqlan, Faisal

AU - Gao, Kuo

N1 - Funding Information: This work is supported by Jiangxi University Humanities and Social Sciences Research Foundation [Grant No. JJ1541] and by National Natural Science Foundation of China [Grant No. 71462020].

PY - 2017/11

Y1 - 2017/11

N2 - This paper proposes multi-echelon inventory models with three types of demand. The stakeholders consist of a retailer, a plant and a number of middlemen. Because the modes of demand for stakeholders are different, the stakeholders have different inventory modes. Based on these different inventory modes, three models and the procedures to solve these models are developed. In computational experiments, the applicability of the proposed models and procedures is verified. Management insights are summarized through analyzing the composition of average total inventory cost. Finally, the relationship between the parameters and the optimal solutions is investigated by two sensitivity analyses.

AB - This paper proposes multi-echelon inventory models with three types of demand. The stakeholders consist of a retailer, a plant and a number of middlemen. Because the modes of demand for stakeholders are different, the stakeholders have different inventory modes. Based on these different inventory modes, three models and the procedures to solve these models are developed. In computational experiments, the applicability of the proposed models and procedures is verified. Management insights are summarized through analyzing the composition of average total inventory cost. Finally, the relationship between the parameters and the optimal solutions is investigated by two sensitivity analyses.

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JO - Transportation Research, Part E: Logistics and Transportation Review

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