Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 5, Issue 2


Published
on

August 27, 2020


Pages


DOI

Article

Supply Chain Planning Problem Considering Customer Inventory Holding Cost Based on an Improved Tabu Search Algorithm

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Authors

Tao Li Affiliation:
Research Institute of Highway Ministry of Transport, Beijing 100088, China
and Wenyin Yang Affiliation:
Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China


Abstract

This paper studies Inventory location routing problem in supply chain distribution network planning under vendor inventory management while considering customer inventory holding cost. In order to minimize the total cost of supply chain, an optimization model is established and an improved tabu search algorithm is used to solve the problem. From the analysis, it shows that the total cost decreases as the total vehicles capacity increases, and the maximum utilization of alternative vehicles and the minimum cost of the system don’t occur at the same time in some cases.


Keywords

road transport, supply chain, tabu search algorithm, inventory location routing problem, inventory holding cost, 90B06


Citation

Li, T. & Yang, W. (2020). Supply chain planning problem considering customer inventory holding cost based on an improved tabu search algorithm. Applied Mathematics and Nonlinear Sciences, 5(2). https://doi.org/10.2478/amns.2020.2.00029

Published by: Engineering Journals

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