Robust Production Scheduling Using Autonomous Distributed Systems

2012 ◽  
Vol 516 ◽  
pp. 166-169
Author(s):  
Shunsuke Oike ◽  
Tomohisa Tanaka ◽  
Jiang Zhu ◽  
Yoshio Saito

This research proposes a method of production scheduling using autonomous distributed systems. A concrete message protocol is proposed to realize the production scheduling which includes not only Machine but also Human and AGV scheduling. Moreover this method realizes real time scheduling and parallel scheduling. Therefore, a new structure of production scheduling is proposed, which can realize a change of the type of production scheduler to correspond with a type of production system.

2014 ◽  
Vol 660 ◽  
pp. 1010-1014
Author(s):  
Yuwana M. Yatna ◽  
Sri Raharno ◽  
Rifki Ruriardi

This paper deals with the implementation of Autonomous Distributed Manufacturing System (ADiMS) concept in real-time scheduling in order to solve scheduling problems. Basically production scheduling is an important thing and has significant role in manufacturing system. Generally unpredictable conditions such as machine breakdown, absenteeism, or material shortages, in manufacturing system are a problem. These conditions will make the production schedule could not be implemented as planned. However, these conditions are difficult to be avoided and almost always occur in manufacturing systems. A real-time scheduling based on ADiMS concept that provide flexibility, adaptability, and capable could be use to face this problem. In this paper, the problem is limited to real-time scheduling procedures. The result of the case study is every process has been scheduled real-time manually in certain order by the real-time scheduling procedures based on ADiMS. This is showed that ADiMS concept could be implemented in a real-time scheduling and provides flexibility, adaptability, and capable to solve the scheduling problems.


2021 ◽  
Author(s):  
Antoine Bertout ◽  
Joël Goossens ◽  
Emmanuel Grolleau ◽  
Roy Jamil ◽  
Xavier Poczekajlo

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