Development of a Cloud-based Advanced Planning and Scheduling System

被引:8
|
作者
Hsu, Tzu-Han [1 ]
Wang, Li-Chih [1 ]
Chu, Pei-Chun [2 ]
机构
[1] Tunghai Univ, Dept Ind Engn & Enterprise Informat, 1727,Sec 4,Taiwan Blvd, Taichung 40704, Taiwan
[2] Tunghai Univ, Off Inst Res, 1727,Sec 4,Taiwan Blvd, Taichung 40704, Taiwan
来源
28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY | 2018年 / 17卷
关键词
Industry; 4.0; Cloud-based System; Advanced Planning and Scheduling;
D O I
10.1016/j.promfg.2018.10.066
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Facing the global trend of Industry 4.0, many countries around the world proposed its industry policy of smart factory, in which, cyber-physical production system (CPPS) plays the critical role. A CPPS has the characteristics of distributed control, real time communication, computation and modularized. In Taiwan, most of the manufacturing industries (e.g., metal manufacturing, machinery and equipment manufacturing etc.) still heavily rely on the excel-based production planning and scheduling approach although ERP systems are widely used today. Furthermore, the advanced planning and scheduling (APS) systems have been developed over 15 years in Taiwan, however, very few of small and medium-sized manufacturing enterprises (SMEs) have implemented APS system due to the high implementation cost for satisfying the specific production characteristics and planning constraints. Therefore, this research will consider the characteristics of manufacturing process, automation and digitalization of metal manufacturing, machinery and equipment manufacturing industry and develop a cloud-based advanced planning and scheduling (CAPS) system, the planning engine is based on an intelligent dynamic planning & scheduling (IDPS) system, which can dynamically and effectively generate production and operations schedule, and provide the timely visualized analysis data for production planners in SMEs. Applications of CAPS in a metal manufacturing company has been demonstrated in this paper. (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:427 / 434
页数:8
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