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Short-term manpower planning for MRT carriage maintenance under mixed deterministic and stochastic demands

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  • Chia-Hung Chen
  • Shangyao Yan
  • Miawjane Chen

Abstract

The purpose of this research is to develop two manpower supply planning models and a solution algorithm for mass rapid transit carriage maintenance under mixed deterministic and stochastic demands. These models are formulated as mixed integer programs that are characterized as NP-hard. We employ problem decomposition techniques, coupled with the CPLEX mathematical programming solver, to develop an algorithm that is capable of efficiently solving the problems. The models and the method used currently in actual operations are evaluated by a simulation-based evaluation method. Finally, we perform a case study using real operating data from a Taiwan MRT maintenance facility. The preliminary results are good, showing that the models could be useful for planning carriage maintenance manpower supply. Copyright Springer Science+Business Media, LLC 2010

Suggested Citation

  • Chia-Hung Chen & Shangyao Yan & Miawjane Chen, 2010. "Short-term manpower planning for MRT carriage maintenance under mixed deterministic and stochastic demands," Annals of Operations Research, Springer, vol. 181(1), pages 67-88, December.
    • Handle: RePEc:spr:annopr:v:181:y:2010:i:1:p:67-88:10.1007/s10479-010-0689-y
    DOI: 10.1007/s10479-010-0689-y
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    1. Yan, Shangyao & Shieh, Chi-Yuan & Chen, Miawjane, 2002. "A simulation framework for evaluating airport gate assignments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(10), pages 885-898, December.
    2. Yan, Shangyao & Chi, Chin-Jen & Tang, Ching-Hui, 2006. "Inter-city bus routing and timetable setting under stochastic demands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 572-586, August.
    3. Shangyao Yan & Chia-Hung Chen & Chung-Kai Chen, 2008. "Short-term shift setting and manpower supplying under stochastic demands for air cargo terminals," Transportation, Springer, vol. 35(3), pages 425-444, May.
    4. Yan, Shangyao & Tu, Yu-Ping, 2002. "A network model for airline cabin crew scheduling," European Journal of Operational Research, Elsevier, vol. 140(3), pages 531-540, August.
    5. List, George F. & Wood, Bryan & Nozick, Linda K. & Turnquist, Mark A. & Jones, Dean A. & Kjeldgaard, Edwin A. & Lawton, Craig R., 2003. "Robust optimization for fleet planning under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(3), pages 209-227, May.
    6. Astrid S. Kenyon & David P. Morton, 2003. "Stochastic Vehicle Routing with Random Travel Times," Transportation Science, INFORMS, vol. 37(1), pages 69-82, February.
    7. Yan, Shangyao & Chen, Chia-Hung & Chen, Chung-Kai, 2006. "Long-term manpower supply planning for air cargo terminals," Journal of Air Transport Management, Elsevier, vol. 12(4), pages 175-181.
    8. R. T. Rockafellar & Roger J.-B. Wets, 1991. "Scenarios and Policy Aggregation in Optimization Under Uncertainty," Mathematics of Operations Research, INFORMS, vol. 16(1), pages 119-147, February.
    9. Brusco, Michael J. & Johns, Tony R., 1996. "A sequential integer programming method for discontinuous labor tour scheduling," European Journal of Operational Research, Elsevier, vol. 95(3), pages 537-548, December.
    10. Yafeng Du & Randolph Hall, 1997. "Fleet Sizing and Empty Equipment Redistribution for Center-Terminal Transportation Networks," Management Science, INFORMS, vol. 43(2), pages 145-157, February.
    11. Julia L. Higle & Suvrajeet Sen, 1991. "Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse," Mathematics of Operations Research, INFORMS, vol. 16(3), pages 650-669, August.
    12. Beaumont, Nicholas, 1997. "Scheduling staff using mixed integer programming," European Journal of Operational Research, Elsevier, vol. 98(3), pages 473-484, May.
    13. James G. Morris & Michael J. Showalter, 1983. "Simple Approaches to Shift, Days-Off and Tour Scheduling Problems," Management Science, INFORMS, vol. 29(8), pages 942-950, August.
    14. John M. Mulvey & Andrzej Ruszczyński, 1995. "A New Scenario Decomposition Method for Large-Scale Stochastic Optimization," Operations Research, INFORMS, vol. 43(3), pages 477-490, June.
    15. Aykin, Turgut, 2000. "A comparative evaluation of modeling approaches to the labor shift scheduling problem," European Journal of Operational Research, Elsevier, vol. 125(2), pages 381-397, September.
    16. repec:spr:pharme:v:21:y:2003:i:12:p:839-851 is not listed on IDEAS
    17. Yan, Shangyao & Yang, Ta-Hui & Chen, Hsuan-Hung, 2004. "Airline short-term maintenance manpower supply planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 615-642.
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