Research on integrated inventory transportation optimization of inbound logistics via a VMI-TPL model of an existing enterprise

Kun Zhang; Hanping Hou; Zhiqiang Dong; Ziheng Liu; Kun Zhang; Hanping Hou; Zhiqiang Dong; Ziheng Liu

doi:10.3934/mbe.2023724

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 9: 16212-16235. doi: 10.3934/mbe.2023724

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Research on integrated inventory transportation optimization of inbound logistics via a VMI-TPL model of an existing enterprise

1.
School of Economics and Management, Beijing Jiaotong University, Beijing, China
2.
School of Software Engineering, Beijing Jiaotong University, Beijing, China

Academic Editor: Francisco J. G. Silva

Received: 07 June 2023 Revised: 31 July 2023 Accepted: 01 August 2023 Published: 14 August 2023

Third-party logistics companies face a challenging task in minimizing inventory transportation costs due to the complexities of managing numerous suppliers. Effectively optimizing costs becomes a formidable problem for such companies. This empirical research has yielded strategies for minimizing the inventory transportation cost specifically for company D. Through a rigorous optimization process, the findings presented in this paper demonstrate an average reduction of 7.18% in company D's inventory transportation cost. By jointly optimizing inbound logistics inventory transportation under VMI-TPL mode, this study extends the theory of supplier managed inventory and improves the inbound logistics mode. The results of this study can provide quantitative support and decision-making references for the project operation management of company D and similar enterprises.
Citation: Kun Zhang, Hanping Hou, Zhiqiang Dong, Ziheng Liu. Research on integrated inventory transportation optimization of inbound logistics via a VMI-TPL model of an existing enterprise[J]. Mathematical Biosciences and Engineering, 2023, 20(9): 16212-16235. doi: 10.3934/mbe.2023724

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Abstract

Third-party logistics companies face a challenging task in minimizing inventory transportation costs due to the complexities of managing numerous suppliers. Effectively optimizing costs becomes a formidable problem for such companies. This empirical research has yielded strategies for minimizing the inventory transportation cost specifically for company D. Through a rigorous optimization process, the findings presented in this paper demonstrate an average reduction of 7.18% in company D's inventory transportation cost. By jointly optimizing inbound logistics inventory transportation under VMI-TPL mode, this study extends the theory of supplier managed inventory and improves the inbound logistics mode. The results of this study can provide quantitative support and decision-making references for the project operation management of company D and similar enterprises.

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