Applying Job Shop Scheduling to SMEs Manufacturing Platform to Revitalize B2B Relationship

作     者：Yeonjee Choi Hyun Suk Hwang Chang Soo Kim 

作者机构：Department of Information SystemsPukyong National UniversityBusan608737Korea Research CenterHanyoung DSInc.Seoul07600Korea 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2023年第74卷第3期

页      面：4901-4916页

核心收录：

学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

基　　金：This work was supported by the Technology Innovation Program 20004205(the development of smart collaboration manufacturing innovation service platform in the textile industry by producer-buyer)funded by MOTIE Korea 

主　　题：Manufacturing platform job shop scheduling problem(JSSP) genetic algorithm optimization textile process 

摘      要：A small and medium enterprises(SMEs)manufacturing platform aims to perform as a significant revenue to SMEs and vendors by providing scheduling and monitoring *** optimal job shop scheduling is generated by utilizing the scheduling system of the platform,and a minimum production time,i.e.,makespan decides whether the scheduling is optimal or *** scheduling result allows manufacturers to achieve high productivity,energy savings,and customer *** in Industry 4.0 requires dynamic,uncertain,complex production environments,and customer-centered *** paper proposes a novel method for solving the difficulties of the SMEs manufacturing by applying and implementing the job shop scheduling system on a SMEs manufacturing *** primary purpose of the SMEs manufacturing platform is to improve the B2B relationship between manufacturing companies and *** platform also serves qualified and satisfactory production opportunities for buyers and producers by meeting two key factors:early delivery date and fulfillment of processing as many orders as *** genetic algorithm(GA)-based scheduling method results indicated that the proposed platform enables SME manufacturers to obtain optimized schedules by solving the job shop scheduling problem(JSSP)by comparing with the real-world data from a textile weaving factory in South *** proposed platform will provide producers with an optimal production schedule,introduce new producers to buyers,and eventually foster relationships and mutual economic interests.