摘要
新一代信息技术和工业互联网正在促进产能分享业务的快速发展,产能分享正在成为数智化制造的一种重要形式。本文旨在设计一种面向平台双边用户满意,且考虑加工任务工艺顺序要求的产能配置策略。产能分享平台为产能供需双方提供产能匹配和交易服务。不同于Airbnb和Uber等产品分享平台,产能分享平台在匹配双边客户的产能时要考虑产能需求方的加工工序要求及供方的加工时间窗,故制造任务的匹配需在给定的工艺关系约束下追求整体资源组合的最优。考虑产能分享平台同时满足产能需求方的订单完成时间最优和产能供给方剩余产能获得的总满意度最大的协调目标,研究了产能分享平台的双边用户的协调稳定匹配策略。最后,基于上述匹配情景,设计了求解稳定匹配方案的遗传算法,通过算例验证了产能配置机制的可行性,提高资源利用率。
The new generation of information technology and industrial internet are promoting the rapid development of the capacity sharing business.Capacity sharing is becoming an important form of digital intelligent manufacturing.A production capacity configuration strategy for satisfying two-sided users and considering the requirements of the processing sequence was designed.The capacity sharing platform provided capacity matching and transaction services for both the supply and demand sides of manufacturing capacity.Unlike product sharing platforms such as Airbnb and Uber,the capacity sharing platform should consider the processing process requirements of the capacity demander and the processing time window of the supplier when matching the capacity of two-sided customers.Therefore,the matching of manufacturing tasks needed to pursue the optimal scheme of overall resource combination under the given process relationship constraints.Considering that the capacity sharing platform aimed to simultaneously meet the optimal order completion time of the demand side and the maximum overall satisfaction of the remaining capacity of the supply side,a stable coordinated matching strategy for two-sided users of the capacity sharing platform was studied.Finally,based on the above matching scenarios,a genetic algorithm was designed to solve the stable matching scheme.The feasibility of the capacity allocation mechanism was verified by an example and the resource utilization was improved.
作者
赵道致
罗碟
ZHAO Daozhi;LUO Die(School of Economics and Management,Tianjin Renai College,Tianjin 301636,China;College of Management and Economics,Tianjin University,Tianjin 300072,China)
出处
《工业工程与管理》
CSCD
北大核心
2024年第2期90-100,共11页
Industrial Engineering and Management
基金
国家自然科学基金资助项目(72072125)。
关键词
产能分享
双边匹配
遗传算法
产能配置
capacity sharing
two-sided matching
genetic algorithm
capacity allocation
