Abstract
This paper deals with serial-batching scheduling problems with the effects of deterioration and learning, where time-dependent setup time is also considered. In the proposed scheduling models, all jobs are first partitioned into serial batches, and then all batches are processed on a single serial-batching machine. The actual job processing time is a function of its starting time and position. In addition, a setup time is required when a new batch is processed, and the setup time of the batches is time-dependent, i.e., it is a linear function of its starting time. Structural properties are derived for the problems of minimizing the makespan, the number of tardy jobs, and the maximum earliness. Then, three optimization algorithms are developed to solve them, respectively.
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Biskup, D.: Single-machine scheduling with learning considerations. Eur. J. Oper. Res. 115(1), 173–178 (1999)
Cheng, T.C.E., Wang, G.: Single machine scheduling with learning effect considerations. Ann. Oper. Res. 98(1–4), 273–290 (2000)
Mosheiov, G., Sidney, J.B.: Scheduling with general job-dependent learning curves. Eur. J. Oper. Res. 147(3), 665–670 (2003)
Gupta, J.N.D., Gupta, S.K.: Single facility scheduling with nonlinear processing times. Comput. Ind. Eng. 14(4), 387–393 (1988)
Browne, S., Yechiali, U.: Scheduling deteriorating jobs on a single processor. Oper. Res. 38(3), 495–498 (1990)
Cheng, T.C.E., Ding, Q., Lin, B.M.T.: A concise survey of scheduling with time-dependent processing times. Eur. J. Oper. Res. 152(1), 1–13 (2004)
Gawiejnowicz, S.: Time-Dependent Scheduling, Monographs in Theoretical Computer Science, an EATCS Series. Springer, Berlin (2008)
Jafari, A., Moslehi, G.: Scheduling linear deteriorating jobs to minimize the number of tardy jobs. J. Glob. Optim. 54(2), 389–404 (2012)
Qi, X.L., Zhou, S.G., Yuan, J.J.: Single machine parallel-batch scheduling with deteriorating jobs. Theor. Comput. Sci. 410(8–10), 830–836 (2009)
Yang, D.-L., Kuo, W.-H.: A single-machine scheduling problem with learning effects in intermittent batch production. Comput. Ind. Eng. 57(3), 762–765 (2009)
Li, S.S., Ng, C.T., Cheng, T.C.E., Yuan, J.J.: Parallel-batch scheduling of deteriorating jobs with release dates to minimize the makespan. Eur. J. Oper. Res. 210(3), 482–488 (2011)
Miao, C.X., Zhang, Y.Z., Wu, C.L.: Scheduling of deteriorating jobs with release dates to minimize the maximum lateness. Theor. Comput. Sci. 462(30), 80–87 (2012)
Pei, J., Pardalos, P.M., Liu, X., Fan, W., Yang, S.: Serial batching scheduling of deteriorating jobs in a two-stage supply chain to minimize the makespan. Eur. J. Oper. Res. 244(1), 13–25 (2015)
Cheng, T.C.E., Lee, W.-C., Wu, C.-C.: Scheduling problems with deteriorating jobs and learning effects including proportional setup times. Comput. Ind. Eng. 58(2), 326–331 (2010)
Wang, J.-B., Jiang, Y., Wang, G.: Single-machine scheduling with past-sequence-dependent setup times and effects of deterioration and learning. Int. J. Adv. Manuf. Technol. 41(11–12), 1221–1226 (2009)
Wu, C.-C., Lee, W.-C.: Single-machine group-scheduling problems with deteriorating setup times and job-processing times. Int. J. Prod. Econ. 115(1), 128–133 (2008)
Pei, J., Liu, X., Fan, W., Pardalos, P.M., Migdalas, A., Yang, S.: Scheduling jobs on a single serial-batching machine with dynamic job arrivals and multiple job types. Ann. Math. Artif. Intell. doi:10.1007/s10472-015-9449-7 (2015)
Pei, J., Liu, X., Pardalos, P.M., Fan, W., Yang, S., Wang, L.: Application of an effective modified gravitational search algorithm for the coordinated scheduling problem in a two-stage supply chain. Int. J. Adv. Manuf. Technol. 70(1–4), 335–348 (2014)
Yang, S.J.: Group scheduling problems with simultaneous considerations of learning and deterioration effects on a single-machine. Appl. Math. Model. 35(8), 4008–4016 (2011)
Bai, J., Li, Z.R., Huang, X.: Single-machine group scheduling with general deterioration and learning effects. Appl. Math. Model. 36(3), 1267–1274 (2012)
Wang, J.B., Gao, W.J., Wang, L.Y., Wang, D.: Single machine group scheduling with general linear deterioration to minimize the makespan. Int. J. Adv. Manuf. Technol. 43, 146–150 (2009)
Huang, X., Wang, M.Z., Wang, J.B.: Single-machine group scheduling with both learning effects and deteriorating jobs. Comput. Ind. Eng. 60, 750–754 (2011)
Wang, J.B., Huang, X., Wu, Y.B., Ji, P.: Group scheduling with independent setup times, ready times, and deteriorating job processing times. Int. J. Adv. Manuf. Technol. 60, 643–649 (2012)
Wang, D., Huo, Y.Z., Ji, P.: Single-machine group scheduling with deteriorating jobs and allotted resource. Optim. Lett. 8, 591–605 (2014)
Xuan, H., Tang, L.X.: Scheduling a hybrid flowshop with batch production at the last stage. Comput. Oper. Res. 34(9), 2718–2733 (2007)
Lee, W.C.: A note on deteriorating jobs and learning in single-machine scheduling problems. Int. J. Bus. Econ. 3(1), 83–89 (2004)
Cheng, T.C.E., Hsu, C.-J., Huang, Y.-C., Lee, W.-C.: Single-machine scheduling with deteriorating jobs and setup times to minimize the maximum tardiness. Comput. Oper. Res. 38(12), 1760–1765 (2011)
Graham, R.L., Lawler, E.L., Lenstra, J.K., Rinnooy Kan, A.H.G.: Optimization and approximation in deterministic sequencing and scheduling: a survey. Ann. Discret. Math. 5, 287–326 (1979)
Yin, Y., Cheng, S.R., Wu, C.C.: Scheduling problems with two agents and a linear non-increasing deterioration to minimize earliness penalties. Inf. Sci. 189, 282–292 (2012)
Acknowledgments
This work is supported by the National Natural Science Foundation of China (Nos. 71231004, 71171071, 71131002, 71201042), and the Fundamental Research Funds for the Central Universities (Nos. JZ2015HGBZ0116, JZ2015HGBZ0117, JZ2015HGQC0187). Panos M. Pardalos is partially supported by the project of “Distinguished International Professor by the Chinese Ministry of Education” (MS2014HFGY026).
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Pei, J., Liu, X., Pardalos, P.M. et al. Serial-batching scheduling with time-dependent setup time and effects of deterioration and learning on a single-machine. J Glob Optim 67, 251–262 (2017). https://doi.org/10.1007/s10898-015-0320-5
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DOI: https://doi.org/10.1007/s10898-015-0320-5