工业工程2024，Vol.27Issue(3)：87-97,105,12.DOI:10.3969/j.issn.1007-7375.220161
多资源协同的智能车间设备配置优化
Equipment Configuration Optimization for an Intelligent Workshop with Multi-resource Collaboration
摘要
Abstract
To address the problem of equipment quantity configuration in an intelligent workshop with multi-resource collaboration,an optimization model is established with dual constraints on system output rate and production cycle and the objective of minimizing equipment purchase cost.Since the optimization problem is a stochastic nonlinear integer programming one,and the constraints cannot be expressed in closed form of decision variables,a simulation-based intelligent optimization algorithm is proposed to solve it.For such production workshops with multi-resource collaboration,a system performance evaluation model is developed based on a discrete event simulation platform.A gray wolf optimization algorithm embedded in the simulation model is proposed to obtain the optimization scheme of equipment quantity configuration.Through simulation experiments and optimization case comparisons,the superiority and stability of the proposed method over other algorithms in optimization results are verified.The optimal configuration scheme is determined by analyzing actual application cases,and the results verify the effectiveness of the proposed method,demonstrating its practical value.关键词
多资源约束/智能车间/灰狼优化(GWO)/仿真优化/设备配置Key words
multi-resource-constrained/intelligent workshop/grey wolf optimizer(GWO)/simulation optimization/equipment configuration分类
管理科学引用本文复制引用
张惠煜,梁展鹏,王松龄,陈庆新,毛宁..多资源协同的智能车间设备配置优化[J].工业工程,2024,27(3):87-97,105,12.基金项目
国家自然科学基金资助项目(61973089) （61973089）
广东省基础与应用基础研究基金资助项目(2022A1515011175,2022A1515010991) （2022A1515011175,2022A1515010991）
广州市基础研究计划资助项目(2023A04J0406) （2023A04J0406）
