References
1. Flapper, S.D.P. and Teunter, R.H. Logistic planning
of rework with deteriorating work-in-process", International
Journal of Production Economics, 88, pp. 51-59
(2004).
2. Cao, Y., Subramaniam, V., and Chen, R. Performance
evaluation and enhancement of multistage
manufacturing systems with rework loops", Computers
& Industrial Engineering, 62, pp. 161-176 (2012).
3. Inderfurth, K., Janiak, A., Kovalyov, M.Y., and
Werner, F. Batching work and rework processes with
limited deterioration of reworkables", Computers &
Operations Research, 33, pp. 1595-1605 (2006).
4. Chiu, S.W., Ting, C.K., and Chiu, Y.S.P. Optimal
production lot sizing with rework, scrap rate, and
service level constraint", Mathematical and Computer
Modelling, 46, pp. 535-549 (2007).
5. Sarker, B.R., Jamal, A.M.M., and Mondal, S. Optimal
batch sizing in a multi-stage production system
with rework consideration", European Journal of Operational
Research, 184, pp. 915-929 (2008).
6. Liu, N., Kim, Y., and Hwang, H. An optimal operating
policy for the production system with rework",
Computers & Industrial Engineering, 56, pp. 874-887
(2009).
7. Gribkovskaia, I.V., Kovalev, S., and Werner, F.
Batching for work and rework processes on dedicated
facilities to minimize the makespan", Omega, 38, pp.
522-527 (2010).
8. Kang, Y.H., Kim, S.S., and Shin, H.J. A dispatching
algorithm for parallel machines with rework processes",
Journal of the Operational Research Society,
61, pp. 144-155 (2010).
9. Ramezanian, R. and Saidi-Mehrabad, M. Multiproduct
unrelated parallel machines scheduling problem
with rework processes", Scientia Iranica E, 19(6),
pp. 1887-1893 (2012).
10. Taleizadeh, A.A., Jalali-Naini, S.G., Wee, H.M., and
Kuo, T.C. An imperfect multi-product production
system with rework", Scientia Iranica E, 20(3), pp.
811-823 (2013).
11. Sarkar, B., Cardenas-Barron, L.E., Sarkar, M., and
Singgih, M.L. An economic production quantity
model with random defective rate, rework process
and backorders for a single stage production system",
Journal of Manufacturing Systems, 33(3), pp. 423-435
(2014).
12. Hossain, M.S.J. and Sarker, B.R. Optimal locations
of on-line and o-line rework stations in a serial production
system", International Journal of Production
Research, 54(12), pp. 3603-3621 (2016).
13. Beynaghi, A., Moztarzadeh, F., Shahmardan, A.,
Alizadeh, R., Salimi, J., and Mozafari, M. Makespan
minimization for batching work and rework process
on a single facility with an aging eect: a hybrid
meta-heuristic algorithm for sustainable production
management", Journal of Intelligent Manufacturing,
(2016). DOI: 10.1007/s10845-016-1223-0.
14. Moussawi-Haidar, L., Salameh, M., and Nasr, W.
Production lot sizing with quality screening and rework",
Applied Mathematical Modelling, 40, pp. 3242-
3256 (2016).
15. Baker, K.R. and Trietsch, D., Principles of Sequencing
and Scheduling, New York, Wiley (2009).
1700 B. Bootaki and M.M. Paydar/Scientia Iranica, Transactions E: Industrial Engineering 25 (2018) 1688{1700
16. Rinnooy Kan A.H.G., Machine Scheduling Problems:
Classication, Complexity and Computations,
The Hague, Netherlands, Martinus Nijho Publishers
(1976).
17. Palmer, D.S. Sequencing jobs through a multistage
process in the minimum total time: a quick method of
obtaining a near optimum", Journal of the Operational
Research Society, 16, pp. 101-107 (1965).
18. Campbell, H.G., Dudek, R.A., and Smith, M.L. A
heuristic algorithm of the n-job, m-machine sequencing
problem", Management Science, 16(10), pp. 630-637
(1970).
19. Gupta, J.N.D. A functional heuristic algorithm for
the
ow-shop scheduling problem", Operational Research
Quarterly, 22(1), pp. 39-47 (1971).
20. Nawaz, M., Enscore, J.E., and Ham, I. A heuristic algorithm
for the m-machine, n-job
ow-shop sequencing
problem", Omega, 11(1), pp. 91-95 (1983).
21. Li, X. and Yin, M. A discrete articial bee colony
algorithm with composite mutation strategies for permutation
ow shop scheduling problem", Scientia
Iranica E, 19(6), pp. 1921-1935 (2012).
22. Johnson, S.M. Optimal two and three-stage production
schedules with set-up times included", Naval
Research Logistics Quarterly, 1, pp. 61-68 (1954).
23. Holland, J.H., Adaptation in Natural and Articial
Systems, Cambridge, MIT Press (1975).
24. Goldberg, D.E., Genetic Algorithms: Search, Optimization
and Machine Learning, Boston, Addison-
Wesley Press (1989).
25. Mahdavi, I., Paydar, M.M., Solimanpur, M., and Heidarzade,
A. Genetic algorithm approach for solving
a cell formation problem in cellular manufacturing",
Expert Systems with Applications, 36(3), pp. 6598-
6604 (2009).
26. Paydar, M.M. and Saidi-Mehrabad, M. A hybrid
genetic-variable neighborhood search algorithm for the
cell formation problem based on grouping ecacy",
Computers & Operations Research, 40(4), pp. 980-990
(2013).
27. Bootaki, B., Mahdavi, I., and Paydar, M.M. A
hybrid GA-AUGMECON method to solve a cubic cell
formation problem considering dierent worker skills",
Computers & Industrial Engineering, 75, pp. 31-40
(2014).
28. Kirkpatrick, S., Gelatt, C., and Vecchi, M. Optimization
by simulated annealing", Science, 220(4598), pp.
671-680 (1983).
29. Mladenovic, N. and Hansen, P. Variable neighborhood
search", Computers & Operations Research, 24,
pp. 1097-1100 (1997).