How to cite this paper
Mazdeh, M., Zaerpour, F & Jahantigh, F. (2010). A fuzzy modeling for single machine scheduling problem with deteriorating jobs.International Journal of Industrial Engineering Computations , 1(2), 147-156.
Refrences
Browne, S. & Yechiali, U. (1990). Scheduling deteriorating jobs on a single processor, Operations Research, 38, 495–8.
Chang, P. T., Huang, L. C. & Lin, H. J. (2000). The fuzzy Delphi via fuzzy statistics and membership function fitting and an application to human resources, Fuzzy Sets and Systems, 112, 511-520.
Fortemps, P. & Roubens, M. (1996). Ranking and defuzzification methods based on area compensation, Fuzzy Sets System, 82, 319-330.
González, V., Alarcón, L. F. & Molenaar, K. (2008). Multiobjective design of Work-In-Process buffer for scheduling repetitive building projects, 95-108 Automation in Construction.
Gupta, D., Gunalay, Y. & Srinivasan, M .M. (2001). The relation between preventive maintenance and manufacturing system performance, European Journal of Operation Research, 132, 146-162.
Jeng, A. & Lin, B. (2005). Minimizing the total completion time in single-machine scheduling with step-deteriorating job, Computers & Operations Research, 32, 521–536.
Karsak, E. E. & Kuzgunkaya, O. (2002). A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system, Int. J. Production Economics, 71, 101-111.
Lingo User’s Guide. (1999). LINDO Systems Inc., Chicago.
Oron, D. (2008). Single machine scheduling with simple linear deterioration to minimize total absolute deviation of completion times. Computers & Operations Research, 35, 2071 – 2078.
Papadopoulos, H. T. & Vidalis, M. I. (2001). Minimizing WIPinventory in reliable production lines, Int. J. Production Economics, 70, 185-197.
Roy, A., Maiti, M. K., Kar, S. & Maiti, M. (2007). Two storage inventory model with fuzzy deterioration over a random planning horizon, Mathematical and Computer Modelling, 46 , 1419–1433.
Tsourveloudis, N. (2010). On the evolutionary-fuzzy control of WIP in manufacturing systems. Neurocomputing, 73, 648–654.
Tsourveloudis, N. C., Dretoulakis, E. & Ioannidis, S. (2000). Fuzzy work-in-process inventory control of unreliable manufacturing systems, Information Sciences, 127, 69-83
Wang, J. (2007). Single-machine scheduling problems with the effects of learning and deterioration, Omega, 35, 397 – 402.
Wang, J. & Xia, Z. (2005). Scheduling jobs under decreasing linear deterioration, Information Processing Letters, 94, 63–69.
Xu, D., Sun, K. & Li, H. (2008). Parallel machine scheduling with almost periodic maintenance and non-preemptive jobs to minimize makespan, Computers & Operations Research, 35, 1344 – 1349.
Yager, R. R. (1981). A procedure for ordering fuzzy subsets of the unit interval, Inform, 24, 143-161
Yang, J. (2009). Two machine flow shop scheduling problem with weighted WIP costs, Computers & Operations Research, 36, 472 – 486.
Chang, P. T., Huang, L. C. & Lin, H. J. (2000). The fuzzy Delphi via fuzzy statistics and membership function fitting and an application to human resources, Fuzzy Sets and Systems, 112, 511-520.
Fortemps, P. & Roubens, M. (1996). Ranking and defuzzification methods based on area compensation, Fuzzy Sets System, 82, 319-330.
González, V., Alarcón, L. F. & Molenaar, K. (2008). Multiobjective design of Work-In-Process buffer for scheduling repetitive building projects, 95-108 Automation in Construction.
Gupta, D., Gunalay, Y. & Srinivasan, M .M. (2001). The relation between preventive maintenance and manufacturing system performance, European Journal of Operation Research, 132, 146-162.
Jeng, A. & Lin, B. (2005). Minimizing the total completion time in single-machine scheduling with step-deteriorating job, Computers & Operations Research, 32, 521–536.
Karsak, E. E. & Kuzgunkaya, O. (2002). A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system, Int. J. Production Economics, 71, 101-111.
Lingo User’s Guide. (1999). LINDO Systems Inc., Chicago.
Oron, D. (2008). Single machine scheduling with simple linear deterioration to minimize total absolute deviation of completion times. Computers & Operations Research, 35, 2071 – 2078.
Papadopoulos, H. T. & Vidalis, M. I. (2001). Minimizing WIPinventory in reliable production lines, Int. J. Production Economics, 70, 185-197.
Roy, A., Maiti, M. K., Kar, S. & Maiti, M. (2007). Two storage inventory model with fuzzy deterioration over a random planning horizon, Mathematical and Computer Modelling, 46 , 1419–1433.
Tsourveloudis, N. (2010). On the evolutionary-fuzzy control of WIP in manufacturing systems. Neurocomputing, 73, 648–654.
Tsourveloudis, N. C., Dretoulakis, E. & Ioannidis, S. (2000). Fuzzy work-in-process inventory control of unreliable manufacturing systems, Information Sciences, 127, 69-83
Wang, J. (2007). Single-machine scheduling problems with the effects of learning and deterioration, Omega, 35, 397 – 402.
Wang, J. & Xia, Z. (2005). Scheduling jobs under decreasing linear deterioration, Information Processing Letters, 94, 63–69.
Xu, D., Sun, K. & Li, H. (2008). Parallel machine scheduling with almost periodic maintenance and non-preemptive jobs to minimize makespan, Computers & Operations Research, 35, 1344 – 1349.
Yager, R. R. (1981). A procedure for ordering fuzzy subsets of the unit interval, Inform, 24, 143-161
Yang, J. (2009). Two machine flow shop scheduling problem with weighted WIP costs, Computers & Operations Research, 36, 472 – 486.