An efficient simulation optimization methodology to solve a multi-objective problem in unreliable unbalanced production lines
作者：
Highlights：
• This is a buffer allocation problem in real-world unreliable unbalanced systems.
• Mean processing time of work stations and buffer capacities are decision variables.
• The randomness of all time-based parameters in real systems are fully addressed.
• An efficient simulation optimization methodology is proposed as an expert system.
• Throughput rate is fitted by simulation based on Response Surface Methodology.
摘要
•This is a buffer allocation problem in real-world unreliable unbalanced systems.•Mean processing time of work stations and buffer capacities are decision variables.•The randomness of all time-based parameters in real systems are fully addressed.•An efficient simulation optimization methodology is proposed as an expert system.•Throughput rate is fitted by simulation based on Response Surface Methodology.
论文关键词：Unreliable unbalanced production lines,Buffer allocation problem,Simulation optimization,Design of experiments,Response surface methodology,Meta-heuristics
论文评审过程：Received 14 August 2018, Revised 1 July 2019, Accepted 22 July 2019, Available online 23 July 2019, Version of Record 29 July 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.112836
