A genetic algorithm approach for multi-product multi-period continuous review inventory models

作者：

Highlights：

• A genetic algorithm is developed for multi-product/period (Q, r) inventory model.

• A novel integer linear programming model (ILP) is proposed for the problem.

• Shelf life, budget, storage capacity, and promotions constraints are considered.

• Approach verified by pharmaceutical case study to yield high-quality solutions.

• Proposed genetic algorithm is more effective than ILP model on large problems.

摘要

•A genetic algorithm is developed for multi-product/period (Q, r) inventory model.•A novel integer linear programming model (ILP) is proposed for the problem.•Shelf life, budget, storage capacity, and promotions constraints are considered.•Approach verified by pharmaceutical case study to yield high-quality solutions.•Proposed genetic algorithm is more effective than ILP model on large problems.

论文关键词：Multi-product multi-period policy,Continuous review policy,Inventory management,Variable demand

论文评审过程：Available online 14 July 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.07.003