Multi-objective optimization of hybrid backorder inventory model

作者：

Highlights：

• An intelligent hybrid backorder inventory system is developed with MOPSO.

• Pareto curves are generated between cost and service levels for the practitioners.

• Sensitivity of optimal parameters with respect to holding cost is studied.

• Applications of proposed expert and intelligent system in real world are discussed.

摘要

•An intelligent hybrid backorder inventory system is developed with MOPSO.•Pareto curves are generated between cost and service levels for the practitioners.•Sensitivity of optimal parameters with respect to holding cost is studied.•Applications of proposed expert and intelligent system in real world are discussed.

论文关键词：Backorder,Inventory,Multi-objective particle swarm optimization,Pareto,Multi-objective genetic algorithm

论文评审过程：Received 22 November 2014, Revised 5 September 2015, Accepted 23 December 2015, Available online 6 January 2016, Version of Record 21 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.032