Comparison of Production-Triggering Strategies for Manufacturing Enterprises under Random Orders

作     者：Longfei Zhou Lin Zhang Yajun Fang Longfei Zhou;Lin Zhang;Yajun Fang

作者机构：Computer Science and Artificial Intelligence LaboratoryMassachusetts Institute of TechnologyCambridgeMA 02139USA School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100191China 

出 版 物：《Engineering》 (工程（英文）)

年 卷 期：2021年第7卷第6期

页      面：798-806页

核心收录：

学科分类：120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 12[管理学] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 020205[经济学-产业经济学] 

基　　金：supported by the National Key R&D Program of China(2018YFB1701600) the National Natural Science Foundation of China(61873014) 

主　　题：Collaborative manufacturing Production triggering Optimization Simulation Enterprise 

摘      要：Although new technologies have been deeply applied in manufacturing systems,manufacturing enterprises are still encountering difficulties in maintaining efficient and flexible production due to the random arrivals of diverse customer *** order delivery and low inventory cost are fundamentally contradictory to each *** to make a suitable production-triggering strategy is a critical issue for an enterprise to maintain a high level of competitiveness in a dynamic *** this paper,we focus on production-triggering strategies for manufacturing enterprises to satisfy randomly arriving orders and reduce inventory *** theoretical models and simulation models of different production strategies are proposed,including time-triggered strategies,event-triggered strategies,and hybrid-triggered *** each model,both part-production-triggering strategies and product-assembly-triggering strategies are considered and *** time-triggered models and hybrid-triggered models also consider the impact of the period on system *** results show that hybrid-triggered and time-triggered strategies yield faster order delivery and lower inventory costs than event-triggered strategies if the period is set appropriately.