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作 者:晏鹏宇[1] 杨柳 车阿大[2] YAN Pengyu;YANG Liu;CHE Ada(School of Management and Economics,University of Electronic Science and Technology of China,Chengdu 611731,China;School of Management,Northwestern Polytechnical University,Xi'an 710072,China)
机构地区:[1]电子科技大学经济与管理学院,成都611731 [2]西北工业大学管理学院,西安710072
出 处:《系统工程理论与实践》2022年第3期811-832,共22页Systems Engineering-Theory & Practice
基 金:国家自然科学基金(71971044,71871183,72091213);国家社会科学基金重大项目(20&ZD084)。
摘 要:共享制造在催生制造业运作模式变革的同时,也给生产运营管理理论和方法带来了新的机遇与挑战.国内外学者对共享制造所依赖的云制造技术以及参与企业的产能配置研究现状作了较全面的综述,但目前尚缺乏对共享制造平台运作管理研究进展的综述.本文首先分析共享制造应用案例,从共享经济和平台运营视角,总结归纳共享制造模式的主要特征和分类;在此基础上,聚焦于共享制造平台模式,系统梳理了相关供需匹配评价体系,重点评述了“订单选产能”和“订单与产能互选”两类供需匹配与生产调度问题、建模技术和求解算法;最后对比分析了与云计算和经典车间匹配调度问题的异同,并指出了未来研究中存在的热点问题与方向.While giving rise to the transformation of the operation patterns of the manufacturing industry,shared manufacturing brings new opportunities as well as challenges to the theories and methods of production operations and management.The existing literature conducts comprehensive reviews on the cloud manufacturing techniques that shared manufacturing relies on and the research status of capacity allocation of participating enterprises.However,there is a lack of surveys on the progress of operation management of shared manufacturing platform.This study first analyzes real cases of shared manufacturing,and summarizes the typical characteristics and classification from the perspective of sharing economy and platform operation.Then,this paper summarizes the evaluation index system of supply-demand matching and gives a comprehensive review on the operational optimization,matching and scheduling models and solution algorithms of two types of supply-demand matching and scheduling research,namely"ordercapacity selection"and"order-capacity mutual selection".Finally,we compare the shared manufacturing with the cloud computing and classical production scheduling problems and discuss the future studies.
关 键 词:共享制造 平台运营 供需匹配 生产调度 研究综述
分 类 号:TH166[机械工程—机械制造及自动化]
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