IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v263y2017i2p380-389.html
   My bibliography  Save this article

Coordination mechanisms for scheduling games with proportional deterioration

Author

Listed:
  • Chen, Qianqian
  • Lin, Ling
  • Tan, Zhiyi
  • Yan, Yujie

Abstract

We study parallel-machine scheduling games with deteriorating jobs. The processing time of a job increases proportionally with its starting time by a positive deterioration rate. Each job acts selfishly aiming to minimize its completion time while choosing a machine on which it will be processed. Machines are equipped with coordination mechanisms to diminish chaos caused by jobs’ competition. We consider three coordination mechanisms in this paper, namely Smallest Deterioration Rate first, Largest Deterioration Rate first and MAKESPAN policy. Under these mechanisms, we precisely quantify the inefficiency of their Nash Equilibriums by investigating the Price of Anarchy (PoA) and the Price of Stability (PoS), concerning minimization of social costs including the makespan and the total machine load. By using some new methods, we obtain parametrical bounds on the PoA and PoS, and demonstrate that most of these bounds are tight.

Suggested Citation

  • Chen, Qianqian & Lin, Ling & Tan, Zhiyi & Yan, Yujie, 2017. "Coordination mechanisms for scheduling games with proportional deterioration," European Journal of Operational Research, Elsevier, vol. 263(2), pages 380-389.
  • Handle: RePEc:eee:ejores:v:263:y:2017:i:2:p:380-389
    DOI: 10.1016/j.ejor.2017.05.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221717304496
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2017.05.021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stanisław Gawiejnowicz & Alexander Kononov, 2014. "Isomorphic scheduling problems," Annals of Operations Research, Springer, vol. 213(1), pages 131-145, February.
    2. Yossi Azar & Lisa Fleischer & Kamal Jain & Vahab Mirrokni & Zoya Svitkina, 2015. "Optimal Coordination Mechanisms for Unrelated Machine Scheduling," Operations Research, INFORMS, vol. 63(3), pages 489-500, June.
    3. Lee, Kangbok & Leung, Joseph Y.-T. & Pinedo, Michael L., 2012. "Coordination mechanisms for parallel machine scheduling," European Journal of Operational Research, Elsevier, vol. 220(2), pages 305-313.
    4. Ji, Min & Cheng, T.C.E., 2008. "Parallel-machine scheduling with simple linear deterioration to minimize total completion time," European Journal of Operational Research, Elsevier, vol. 188(2), pages 342-347, July.
    5. Michal Feldman & Tami Tamir, 2012. "Conflicting Congestion Effects in Resource Allocation Games," Operations Research, INFORMS, vol. 60(3), pages 529-540, June.
    6. Cheng, Mingbao & Tadikamalla, Pandu R. & Shang, Jennifer & Zhang, Shaqing, 2014. "Bicriteria hierarchical optimization of two-machine flow shop scheduling problem with time-dependent deteriorating jobs," European Journal of Operational Research, Elsevier, vol. 234(3), pages 650-657.
    7. Lalla-Ruiz, Eduardo & Voß, Stefan, 2016. "Modeling the Parallel Machine Scheduling Problem with Step Deteriorating Jobs," European Journal of Operational Research, Elsevier, vol. 255(1), pages 21-33.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rubing Chen & Jinjiang Yuan, 2020. "Single-machine scheduling of proportional-linearly deteriorating jobs with positional due indices," 4OR, Springer, vol. 18(2), pages 177-196, June.
    2. Stanisław Gawiejnowicz, 2020. "A review of four decades of time-dependent scheduling: main results, new topics, and open problems," Journal of Scheduling, Springer, vol. 23(1), pages 3-47, February.
    3. Braat, Jac & Hamers, Herbert & Klijn, Flip & Slikker, Marco, 2019. "A selfish allocation heuristic in scheduling: Equilibrium and inefficiency bound analysis," European Journal of Operational Research, Elsevier, vol. 273(2), pages 634-645.
    4. Ercan Şenyiğit & Uğur Atici & Mehmet Burak Şenol, 2022. "Effects of OCRA parameters and learning rate on machine scheduling," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 941-959, September.
    5. Cong Chen & Yinfeng Xu, 0. "Coordination mechanisms for scheduling selfish jobs with favorite machines," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-33.
    6. Cong Chen & Yinfeng Xu, 2020. "Coordination mechanisms for scheduling selfish jobs with favorite machines," Journal of Combinatorial Optimization, Springer, vol. 40(2), pages 333-365, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stanisław Gawiejnowicz, 2020. "A review of four decades of time-dependent scheduling: main results, new topics, and open problems," Journal of Scheduling, Springer, vol. 23(1), pages 3-47, February.
    2. Delorme, Maxence & Iori, Manuel & Mendes, Nilson F.M., 2021. "Solution methods for scheduling problems with sequence-dependent deterioration and maintenance events," European Journal of Operational Research, Elsevier, vol. 295(3), pages 823-837.
    3. Briskorn, Dirk & Waldherr, Stefan, 2022. "Anarchy in the UJ: Coordination mechanisms for minimizing the number of late jobs," European Journal of Operational Research, Elsevier, vol. 301(3), pages 815-827.
    4. Xuyin Wang & Xiangpei Hu & Weiguo Liu, 2015. "Scheduling with Deteriorating Jobs and Non-Simultaneous Machine Available Times," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 32(06), pages 1-13, December.
    5. Felipe T. Muñoz & Rodrigo Linfati, 2024. "Bounding the Price of Anarchy of Weighted Shortest Processing Time Policy on Uniform Parallel Machines," Mathematics, MDPI, vol. 12(14), pages 1-12, July.
    6. Rosner, Shaul & Tamir, Tami, 2023. "Scheduling games with rank-based utilities," Games and Economic Behavior, Elsevier, vol. 140(C), pages 229-252.
    7. Rubing Chen & Jinjiang Yuan, 2020. "Single-machine scheduling of proportional-linearly deteriorating jobs with positional due indices," 4OR, Springer, vol. 18(2), pages 177-196, June.
    8. Alessandro Arlotto & Andrew E. Frazelle & Yehua Wei, 2019. "Strategic Open Routing in Service Networks," Management Science, INFORMS, vol. 65(2), pages 735-750, February.
    9. Li, Song-Song, 2018. "Efficiency analysis with respect to the unit cost objectives in scheduling games," Mathematical Social Sciences, Elsevier, vol. 94(C), pages 13-18.
    10. Cong Chen & Yinfeng Xu, 0. "Coordination mechanisms for scheduling selfish jobs with favorite machines," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-33.
    11. Wenhua Li & Libo Wang & Xing Chai & Hang Yuan, 2020. "Online Batch Scheduling of Simple Linear Deteriorating Jobs with Incompatible Families," Mathematics, MDPI, vol. 8(2), pages 1-12, February.
    12. Yaping Fu & Hongfeng Wang & Guangdong Tian & Zhiwu Li & Hesuan Hu, 2019. "Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2257-2272, June.
    13. Cong Chen & Yinfeng Xu, 2020. "Coordination mechanisms for scheduling selfish jobs with favorite machines," Journal of Combinatorial Optimization, Springer, vol. 40(2), pages 333-365, August.
    14. Herbert Hamers & Flip Klijn & Marco Slikker, 2019. "Implementation of optimal schedules in outsourcing with identical suppliers," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 89(2), pages 173-187, April.
    15. Vasilis Gkatzelis & Konstantinos Kollias & Tim Roughgarden, 2016. "Optimal Cost-Sharing in General Resource Selection Games," Operations Research, INFORMS, vol. 64(6), pages 1230-1238, December.
    16. Pascual, Fanny & Rzadca, Krzysztof, 2018. "Colocating tasks in data centers using a side-effects performance model," European Journal of Operational Research, Elsevier, vol. 268(2), pages 450-462.
    17. Simai He & Jay Sethuraman & Xuan Wang & Jiawei Zhang, 2017. "A NonCooperative Approach to Cost Allocation in Joint Replenishment," Operations Research, INFORMS, vol. 65(6), pages 1562-1573, December.
    18. Tobias Harks & Martin Hoefer & Anja Schedel & Manuel Surek, 2021. "Efficient Black-Box Reductions for Separable Cost Sharing," Mathematics of Operations Research, INFORMS, vol. 46(1), pages 134-158, February.
    19. Li, Shisheng & Ng, C.T. & Cheng, T.C.E. & Yuan, Jinjiang, 2011. "Parallel-batch scheduling of deteriorating jobs with release dates to minimize the makespan," European Journal of Operational Research, Elsevier, vol. 210(3), pages 482-488, May.
    20. Hongfeng Wang & Min Huang & Junwei Wang, 2019. "An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2733-2742, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:263:y:2017:i:2:p:380-389. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.