文章基本信息

标题：Integrated Process Planning and Active Scheduling in a Supply Chain-A Learnable Architecture Approach
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作者：Esmaeel Moradi ; Ashkan Ayough ; Mostafa Zandieh 等
期刊名称：Iranian Journal of Management Studies
印刷版ISSN：2008-7055
出版年度：2019
卷号：12
期号：2
页码：307-333
DOI：10.22059/ijms.2019.255363.673086
语种：English
出版社：University of Tehran * College of Farabi
摘要：Through the lens of supply chain management, integrating process planning decisions and scheduling plans becomes an issue of great challenge and importance. Dealing with the problem paves the way to devising operation schedules with minimum makespan; considering the flexible process sequences, it can be viewed as a fundamental tool for achieving the scheme, too. To deal with this integration, the modeling approach to problem with MIP structure is common in the literature. These models take precedence constraints into consideration to select machines and to determine sequences. In order to obtain viable sequences, we employed a proposed transformation matrix (TM). We also took advantage of an evolutionary search, called Learnable genetic Architecture (LEGA). Based on LEGA, we developed an integrated process planning and scheduling learnable genetic algorithm (IPPSLEGA). Our approach was evaluated with problems with various sizes. The experimental results show that our proposed architecture outperforms prior approaches, or it performs, at least, as efficiently as they do.
关键词：Supply Chain Management;Process planning;Scheduling;Transformation matrix;Evolutionary search