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Scheduling with time-of-use costs

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  • Chen, Bo
  • Zhang, Xiandong

Abstract

We address a class of problems of scheduling a set of independent jobs onto a single machine that charges each job for its processing under variable time-of-use tariffs. Our scheduling objective is to minimize the total cost of processing all the jobs subject to a minimum level of performance in one of the regular scheduling criteria. For each of the problems in the class, we establish its computational tractability. For those that are tractable we provide an efficient algorithm, while for those that are intractable we provide a pseudo-polynomial-time algorithm or a polynomial-time approximation scheme.

Suggested Citation

  • Chen, Bo & Zhang, Xiandong, 2019. "Scheduling with time-of-use costs," European Journal of Operational Research, Elsevier, vol. 274(3), pages 900-908.
  • Handle: RePEc:eee:ejores:v:274:y:2019:i:3:p:900-908
    DOI: 10.1016/j.ejor.2018.11.002
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    1. Hoogeveen, Han, 2005. "Multicriteria scheduling," European Journal of Operational Research, Elsevier, vol. 167(3), pages 592-623, December.
    2. Huo, Yumei & Zhao, Hairong, 2015. "Total completion time minimization on multiple machines subject to machine availability and makespan constraints," European Journal of Operational Research, Elsevier, vol. 243(2), pages 547-554.
    3. Badinelli, Ralph D., 2000. "An optimal, dynamic policy for hotel yield management," European Journal of Operational Research, Elsevier, vol. 121(3), pages 476-503, March.
    4. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    5. Allahverdi, Ali & Aydilek, Harun, 2014. "Total completion time with makespan constraint in no-wait flowshops with setup times," European Journal of Operational Research, Elsevier, vol. 238(3), pages 724-734.
    6. Kasilingam, R. G., 1997. "Air cargo revenue management: Characteristics and complexities," European Journal of Operational Research, Elsevier, vol. 96(1), pages 36-44, January.
    7. Gabriel Bitran & René Caldentey, 2003. "An Overview of Pricing Models for Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 203-229, August.
    8. Wan, Guohua & Yen, Benjamin P.-C., 2009. "Single machine scheduling to minimize total weighted earliness subject to minimal number of tardy jobs," European Journal of Operational Research, Elsevier, vol. 195(1), pages 89-97, May.
    9. Wang, Yadong & Meng, Qiang & Du, Yuquan, 2015. "Liner container seasonal shipping revenue management," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 141-161.
    10. Guohua Wan & Xiangtong Qi, 2010. "Scheduling with variable time slot costs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(2), pages 159-171, March.
    11. Gupta, Jatinder N. D. & Ruiz-Torres, Alex J., 2000. "Minimizing makespan subject to minimum total flow-time on identical parallel machines," European Journal of Operational Research, Elsevier, vol. 125(2), pages 370-380, September.
    12. J. Michael Moore, 1968. "An n Job, One Machine Sequencing Algorithm for Minimizing the Number of Late Jobs," Management Science, INFORMS, vol. 15(1), pages 102-109, September.
    13. Kan Fang & Nelson A. Uhan & Fu Zhao & John W. Sutherland, 2016. "Scheduling on a single machine under time-of-use electricity tariffs," Annals of Operations Research, Springer, vol. 238(1), pages 199-227, March.
    14. Kan Fang & Nelson Uhan & Fu Zhao & John Sutherland, 2016. "Scheduling on a single machine under time-of-use electricity tariffs," Annals of Operations Research, Springer, vol. 238(1), pages 199-227, March.
    15. Chen, Chuen-Lung & Bulfin, Robert L., 1993. "Complexity of single machine, multi-criteria scheduling problems," European Journal of Operational Research, Elsevier, vol. 70(1), pages 115-125, October.
    16. Lawrence R. Weatherford & Samuel E. Bodily, 1992. "A Taxonomy and Research Overview of Perishable-Asset Revenue Management: Yield Management, Overbooking, and Pricing," Operations Research, INFORMS, vol. 40(5), pages 831-844, October.
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    Cited by:

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    2. Bruno Mota & Luis Gomes & Pedro Faria & Carlos Ramos & Zita Vale & Regina Correia, 2021. "Production Line Optimization to Minimize Energy Cost and Participate in Demand Response Events," Energies, MDPI, vol. 14(2), pages 1-14, January.
    3. Xiangxin An & Guojin Si & Tangbin Xia & Qinming Liu & Yaping Li & Rui Miao, 2022. "Operation and Maintenance Optimization for Manufacturing Systems with Energy Management," Energies, MDPI, vol. 15(19), pages 1-19, October.
    4. Lin Chen & Nicole Megow & Roman Rischke & Leen Stougie & José Verschae, 2021. "Optimal algorithms for scheduling under time-of-use tariffs," Annals of Operations Research, Springer, vol. 304(1), pages 85-107, September.
    5. Catanzaro, Daniele & Pesenti, Raffaele & Ronco, Roberto, 2021. "Job Scheduling under Time-of-Use Energy Tariffs for Sustainable Manufacturing: A Survey," LIDAM Discussion Papers CORE 2021019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Catanzaro, Daniele & Pesenti, Raffaele & Ronco, Roberto, 2023. "Job scheduling under Time-of-Use energy tariffs for sustainable manufacturing: a survey," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1091-1109.
    7. Petrashen Eugenia P. & Alferovsky Kirill A. & Tolstova Alexandra A., 2018. "The Role Of Employers' Organizations In Brand Building Of The Program "Environmental Design" In Saint-Petersburg State University," Annals of marketing-mba, Department of Marketing, Marketing MBA (RSconsult), vol. 3, November.
    8. Michal Penn & Tal Raviv, 2021. "Complexity and algorithms for min cost and max profit scheduling under time-of-use electricity tariffs," Journal of Scheduling, Springer, vol. 24(1), pages 83-102, February.

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