Optimizing a multi-vendor multi-retailer vendor managed inventory problem: Two tuned meta-heuristic algorithms

作者：

Highlights：

• A VMI model is developed for a MV-MR SC problem with one central warehouse.

• Both the space and the annual number of orders of the central warehouse are limited.

• The problem is formulated into an integer nonlinear programming model.

• Two improved meta-heuristics of PSO and GA are developed to solve the problem.

• The parameters of both algorithms are calibrated.

摘要

•A VMI model is developed for a MV-MR SC problem with one central warehouse.•Both the space and the annual number of orders of the central warehouse are limited.•The problem is formulated into an integer nonlinear programming model.•Two improved meta-heuristics of PSO and GA are developed to solve the problem.•The parameters of both algorithms are calibrated.

论文关键词：Multi-vendor,Multi-retailer,Vendor managed inventory model,Meta-heuristic,Taguchi method

论文评审过程：Received 27 August 2012, Revised 5 June 2013, Accepted 13 June 2013, Available online 25 June 2013.

论文官网地址：https://doi.org/10.1016/j.knosys.2013.06.006