控制重构
机械加工
过程(计算)
路径(计算)
计算机科学
直线(几何图形)
选择(遗传算法)
产品(数学)
流量(数学)
数学优化
可靠性工程
工业工程
机械工程
工程类
嵌入式系统
数学
操作系统
人工智能
几何学
程序设计语言
作者
Hao Yu,Bo Yang,Shilong Wang,Yankai Wang,Sibao Wang,Zehua Wang,Zhongning Wang,Zehua Wang,Zhongning Wang
标识
DOI:10.1177/09544054221100873
摘要
Multi-part Dedicated Flow-line (MDF) is widely used to produce discrete products for high volumes with low varieties. Since frequent changes occur in customers’ demand and rapid upgrading of machines, the line needs to reconfigure timely to remain competitive. A lot of researchers investigate how to reconfigure the line when facing these changes, and most of them adopts small adjustments such as machine resettlement or buffer size rearrangements to react. However, when great changes occur in product’ machining process or machine’s performance, it’s time to reconfigure the line in a higher level by reselecting machining process of products and/or reselecting machines composition of the line. To fill this research gap, the paper proposes an effective Multi-part Dedicated Flow-line Reconfiguration Model (MDFRM) which can effectively react to great changes occur in products and machines. By optimal selection of Machining Process Path (MPP) for every product and machines composition for the new line, MDFRM can reconfigure MDF with objective of minimizing the products’ cost and capital investment. To solve this problem, an Enhanced Equilibrium Optimizer (EEO) with three layers of code and three steps to handling boundaries and constraints based on Equilibrium Optimizer (EO) is presented. The proposed new model and the designed method are validated by numerical experiments and real case study. This paper will significantly help decision-makers make a scientific decision to optimally reconfigure MDF.
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