Discrete and continuous time representations and mathematical models for large production scheduling problems: A case study from the pharmaceutical industry

2011 ◽  
Vol 215 (2) ◽  
pp. 383-392 ◽  
Author(s):  
Hlynur Stefansson ◽  
Sigrun Sigmarsdottir ◽  
Pall Jensson ◽  
Nilay Shah
Keyword(s):  
Pharmaceutical Industry ◽  
Mathematical Models ◽  
Continuous Time ◽  
Production Scheduling ◽  
Scheduling Problems ◽  
Large Production

Real-Time Scheduling Procedures Based on Autonomous Distributed Manufacturing System (ADiMS) Concept

2014 ◽  
Vol 660 ◽  
pp. 1010-1014
Author(s):  
Yuwana M. Yatna ◽  
Sri Raharno ◽  
Rifki Ruriardi
Keyword(s):  
Real Time ◽  
Production Scheduling ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Scheduling Problems ◽  
Production Schedule ◽  
Distributed Manufacturing ◽  
Real Time Scheduling ◽  
Time Scheduling

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.

scholarly journals Realtime production scheduling and control systems in smart industry

Impact ◽  
2020 ◽  
Vol 2020 (8) ◽  
pp. 60-61
Author(s):  
Wei Weng
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Production Scheduling ◽  
Production Control ◽  
Optimal Solution ◽  
Scheduling Problem ◽  
Optimal Solutions ◽  
Scheduling Problems ◽  
Smart Industry ◽  
And Control

For a production system, 'scheduling' aims to find out which machine/worker processes which job at what time to produce the best result for user-set objectives, such as minimising the total cost. Finding the optimal solution to a large scheduling problem, however, is extremely time consuming due to the high complexity. To reduce this time to one instance, Dr Wei Weng, from the Institute of Liberal Arts and Science, Kanazawa University in Japan, is leading research projects on developing online scheduling and control systems that provide near-optimal solutions in real time, even for large production systems. In her system, a large scheduling problem will be solved as distributed small problems and information of jobs and machines is collected online to provide results instantly. This will bring two big changes: 1. Large scheduling problems, for which it tends to take days to reach the optimal solution, will be solved instantly by reaching near-optimal solutions; 2. Rescheduling, which is still difficult to be made in real time by optimization algorithms, will be completed instantly in case some urgent jobs arrive or some scheduled jobs need to be changed or cancelled during production. The projects have great potential in raising efficiency of scheduling and production control in future smart industry and enabling achieving lower costs, higher productivity and better customer service.

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