Jobs scheduling within Industry 4.0 with consideration of worker’s fatigue and reliability using Greedy Randomized Adaptive Search Procedure

Author:

Mouayni I. El,Demesure G.,Haouzi H. Bril-El,Charpentier P.,Siadat A.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference24 articles.

1. Multi-machine earliness and tardiness scheduling problem: an interconnected neural network approach;Akyol;Int. J. Adv. Manuf. Technol.,2008

2. Development and applications of holonic manufacturing systems: a survey;Babiceanu;J. Intell. Manuf.,2006

3. Buzacott, J.A., 2002. The impact of worker di!erences on production system output 8.

4. Chen, Z.-L., 2000. Scheduling Multiple Families of Jobs on Parallel Machines to Minimize Total Weighted Completion Time. IEEE Real Time Technology and Applications Symposium 20.

5. Minimizing makespan on a two-machine re-entrant flowshop;Choi;J. Oper. Res. Soc.,2007

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