Scheduling optimization of task allocation in integrated manufacturing system based on task decomposition

被引：0

作者：

Aijun Liu ^{[1
,2
]}

Michele Pfund ^{[2
]}

John Fowler ^{[2
]}

机构：

[1] Department of Management Engineering, School of Economics & Management, Xidian University

[2] Department of Supply Chain Management, WP Carey School of Business, Arizona State University

来源：

Journal of Systems Engineering and Electronics | 2016年 / 27卷 / 02期

关键词：

integrated manufacturing system; optimization; task decomposition; task scheduling;

D O I：

暂无

中图分类号：

TB497 [技术管理];

学科分类号：

08 ;

摘要：

How to deal with the collaboration between task decomposition and task scheduling is the key problem of the integrated manufacturing system for complex products. With the development of manufacturing technology, we can probe a new way to solve this problem. Firstly, a new method for task granularity quantitative analysis is put forward, which can precisely evaluate the task granularity of complex product cooperation workflow in the integrated manufacturing system, on the above basis; this method is used to guide the coarse-grained task decomposition and recombine the subtasks with low cohesion coefficient. Then, a multi-objective optimieation model and an algorithm are set up for the scheduling optimization of task scheduling. Finally, the application feasibility of the model and algorithm is ultimately validated through an application case study.

引用

页码：422 / 433

页数：12

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