A Review for Dynamic Scheduling in Manufacturing
Keywords:
dynamic scheduling, rescheduling, real-time events, operational research, artificial intelligence
Abstract
This paper discusses review of literature of dynamic scheduling in manufacturing. First, the problem is defined. The scheduling problems are classified based on the nature of the shop configuration into five classes, i.e., single machine, parallel machines, flow shop, job shop, and open shop. A variety of approaches have been developed to solve the problem of dynamic scheduling. Dynamic scheduling could be classified into four categories, completely reactive scheduling, predictive-reactive scheduling, robust predictive reactive scheduling, and robust proactive scheduling. It is better to combine together different techniques such as operational research and artificial intelligence to overcome dynamic scheduling problems so as to endow the scheduling system with the required flexibility and robustness, and to suggest various orientations for further work is this area of research.
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Published
2018-10-15
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Copyright (c) 2018 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.