A new approach to reducing the effects of stochastic disruptions in flexible flow shop problems with stability and nervousness

International Journal of Management Science and Engineering Management

Volumn 8, Issue 3, 2013, Pages 173-178

  Rahmani, Donya ^a   Heydari, Mahdi ^a   Makui, Ahmad ^a   Zandieh, Mostafa ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b SHAHID BEHESHTI UNIVERSITY   (Iran)

Author keywords

Disruption; Flexible flow shop; Nervousness; Reactive approach; Stability

Indexed keywords

EID: 84978907310     PISSN: 17509653     EISSN: 17509661     Source Type: Journal    
DOI: 10.1080/17509653.2013.812332     Document Type: Article

References (12)

1. Al-Hinai, N., and El Mekkawy, T. Y., 2011. Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm. International Journal of Production Economics, 132:279–291.
2. Branke, J., and Mattfeld, D. C., 2005. Anticipation and flexibility in dynamic scheduling. International Journal of Production Research, 43:3103–3129.
3. Choi, S. H., and Wang, K., 2012. Flexible flow shop scheduling with stochastic processing times:A decomposition-based approach. Computers & Industrial Engineering, 63:362–373.
4. Goren, S., and Sabuncuoglu, I., 2008. Robustness and stability measures for scheduling:Single machine environment. Transactions of the Institution of Electrical Engineers, 40:66–83.
5. Jayamohan, M. S., and Rajendran, C., 2000. New dispatching rules for shop scheduling:A step forward. International Journal of Production Research, 38:563–586.
6. Jensen, M. T., 2003. Generating robust and flexible job shop schedules using genetic algorithms. IEEE Transactions on Evolutionary Computation, 7:275–288.
7. Kianfar, K., Fatemi Ghomi, S. M. T., and Karimi, B., 2009. New dispatching rules to minimize rejection and tardiness costs in a dynamic flexible flow shop. International Journal of Advanced Manufacturing Technology, 45:759–771.
8. Kianfar, K., Fatemi Ghomi, S. M. T., and Oroojlooy Jadid, A., 2012. Study of stochastic sequence-dependent flexible flow shop via developing a dispatching rule and a hybrid GA. Engineering Applications of Artificial Intelligence, 25:494–506.
9. Lodree, E., Jang, W., and Klein, C. M., 2004. A new rule for minimizing the number of tardy jobs in dynamic flow shops. European Journal of Operational Research, 159:258–263.
10. Rangsaritratsamee, R., Ferrell, W. G., and Kurtz, M. B., 2004. Dynamic rescheduling that simultaneously considers efficiency and stability. Computers & Industrial Engineering, 46:1–15.
11. Ribas, I., Leisten, R., and Framinan, J. M., 2010. Review and classification of hybrid flow shop scheduling problems from a production system and a solutions procedure perspective. Computers & Operations Research, 37:1439–1454.
12. Wu, S. D., Storer, R. N., and Chang, P., 1993. One-machine rescheduling heuristics with efficiency and stability as criteria. Computers & Operations Research, 20:1–14.