Interactive job sequencing system for small make-to-order manufacturers under smart manufacturing environment

被引:8
|
作者
Kim, Jun Woo [1 ]
Kim, Soo Kyun [1 ,2 ]
机构
[1] Dong A Univ, Dept Ind & Management Syst Engn, Busan, South Korea
[2] Paichai Univ, Dept Game Engn, Baejae Ro 155-40, Daejeon, South Korea
基金
新加坡国家研究基金会;
关键词
Production scheduling; Two-machine flow shop scheduling; Tabu search algorithm; Meta-heuristic; Smart manufacturing; SHOP SCHEDULING PROBLEM; GENETIC ALGORITHM;
D O I
10.1007/s12083-019-00808-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Production scheduling is an important research topic widely studied during past few decades. However, many manufacturers still fail to successfully deploy scheduling algorithms and systems, even though information and communication technologies can be used to collect and process data associated with production scheduling under modern smart manufacturing environment. The primary problem is that many scheduling algorithms and systems did not consider diverse variety of scheduling requirements of real production systems. Especially, production schedulers in small make-to-order manufacturers have much trouble in utilizing such algorithms and systems. In order to address this issue, this paper aims to propose a functional architecture of production scheduling system for small make-to-order manufactures under smart manufacturing environment and develop a flexible scheduling algorithm for this system. For illustration, the proposed system and algorithm are applied to a two-machine flow shop scheduling problem, and it is expected that this paper will provide a meaningful insight into the user experiences of production scheduling systems.
引用
收藏
页码:524 / 531
页数:8
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