Development of an Optimization Approach for Dynamic Scheduling Problems in RFAC

Author:

Abd Khalid Karam

Publisher

Springer International Publishing

Reference85 articles.

1. Abd, K., Abhary, K., & Marian, R. (2011). An MCDM approach to selection scheduling rule in robotic flexible assembly cells. World Academy of Science, Engineering and Technology, 76(1), 643–648.

2. Abd, K., Abhary, K., & Marian, R. (2013a). Comparative analysis of MCDM methods and implementation of the scheduling rule selection problem: a case study in robotic flexible assembly cells. In International Conference on Advanced Engineering Optimization Through Intelligent Techniques, India, pp. 16–20.

3. Abd, K., Abhary, K., & Marian, R. (2013b). Fuzzy decision support system for selecting the optimal scheduling rule in robotic flexible assembly cells. Australian Journal of Multi-Disciplinary Engineering, 9(2), 125–132.

4. Abdullah, L. (2013). Fuzzy multi criteria decision making and its applications: A brief review of category. Procedia—Social and Behavioral Sciences, 97, 131–136.

5. Adibi, M. A., Zandieh, M., & Amiri, M. (2010). Multi-objective scheduling of dynamic job shop using variable neighborhood search. Expert Systems with Applications, 37(1), 282–287.

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