A binary-continuous invasive weed optimization algorithm for a vendor selection problem

作者：

Highlights：

• Integrating vendor selection, store allocation, and inventory-related decisions.

• Considering multi-sourcing strategy on vendor selection problem.

• Developing a novel meta-heuristic solution algorithm (BCIWO).

• Utilizing GAMS/BARON for performance evaluation.

• Utilizing GA to solve large-sized problems and validation.

摘要

•Integrating vendor selection, store allocation, and inventory-related decisions.•Considering multi-sourcing strategy on vendor selection problem.•Developing a novel meta-heuristic solution algorithm (BCIWO).•Utilizing GAMS/BARON for performance evaluation.•Utilizing GA to solve large-sized problems and validation.

论文关键词：Vendor selection,Economic order quantity,Multi-sourcing strategy,Invasive weed optimization,Genetic algorithm

论文评审过程：Received 10 July 2017, Revised 31 October 2017, Accepted 2 November 2017, Available online 3 November 2017, Version of Record 6 December 2017.

论文官网地址：https://doi.org/10.1016/j.knosys.2017.11.004