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Socially acceptable annual holiday planning for the crew of a local public transport company in Germany

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Abstract

We consider the problem of socially acceptable annual holiday planning. A new model is developed taking into account legal, company and driver issues. Among others, it includes capacity constraints concerning different qualifications, holiday entitlements and connections between drivers. For each application for leave benefit values depending on family situations (e.g. driver has children of school age), other social criteria and priorities of applications are defined for each possible day of the application.

The problem is solved by a heuristic two-stage algorithm. In the first stage we assume that applications for leave are approved, resolve capacity conflicts and arrange applications for leave to get a feasible solution with a high benefit. In the second stage we try to improve the gained feasible solution. Computational results show, that instances with up to 10,000 drivers can be solved within a reasonable amount of time.

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References

  • Bowman EH (1959) The schedule-sequencing problem. Oper Res 7(5):621–624

    Article  Google Scholar 

  • Burke EK, De Causmaecker P, Berghe GV, Van Landeghem H (2004) The state of the art of nurse rostering. J Sched 7(6):441–499

    Article  Google Scholar 

  • Ceder A (2007) Public transit planning and operation: theory, modeling and practice. Butterworth-Heinemann, Oxford

    Google Scholar 

  • Ernst AT, Jiang H, Krishnamoorthy M, Owens B, Sier D (2004) An annotated bibliography of personnel scheduling and rostering. Ann Oper Res 127:21–144

    Article  Google Scholar 

  • Gärtner J, Wahl S, Hörwein K (1998) A technique to take leave into account in shift-rota design. Scand J Work Environ Health 24(3):103–108

    Google Scholar 

  • Haase K, Desaulniers G, Desrosiers J (2001) Simultaneous vehicle and crew scheduling in urban mass transit systems. Transp Sci 35(3):286–303

    Article  Google Scholar 

  • Hartog A, Huisman D, Abbink EJW, Kroon LG (2009) Decision support for crew rostering at NS. Public Transp 1(2):121–133

    Article  Google Scholar 

  • Hickman M, Mirchandani P, VoßS (eds) (2008) Computer-aided systems in public transport. Lect notes econ math syst, vol 600. Springer, Berlin

    Google Scholar 

  • Johnston MD, Minton S (1994) Analyzing a heuristic strategy for constraint-satisfaction and scheduling. In: Fox M, Zweben M (eds) Intelligent scheduling. Morgan Kaufmann Publishers, San Francisco, pp 257–289

    Google Scholar 

  • Knust S, Schumacher E (2009) Shift scheduling for tank trucks. Mathematik-Bericht 2009/6, Institut für Mathematik, TU Clausthal, Germany

  • Koutsopoulos HN, Wilson NHM (1987) Operator workforce planning in the transit industry. Transp Res Part A 21(2):127–138

    Article  Google Scholar 

  • L. De Grano M (2009) Improving fairness in nurse scheduling. In: Shiver JM, Eitel D (eds) Optimizing emergency department throughput: operations management solutions for health care decision makers. Productivity Press, New York, pp 169–182

    Google Scholar 

  • L. De Grano M, Medeiros DJ, Eitel D (2009) Accommodating individual preferences in nurse scheduling via auctions and optimization. Health Care Manag Sci 12(3):228–242

    Article  Google Scholar 

  • Laporte G (1999) The art and science of designing rotating schedules. J Oper Res Soc 50(10):1011–1017

    Google Scholar 

  • Laporte G, Pesant G (2004) A general multi-shift scheduling system. J Oper Res Soc 55(11):1208–1217

    Article  Google Scholar 

  • Li J, Kwan RSK (2003) A fuzzy genetic algorithm for driver scheduling. Eur J Oper Res 147(2):334–344

    Article  Google Scholar 

  • Maenhout B, Vanhoucke M (2010) A hybrid scatter search heuristic for personalized crew rostering in the airline industry. Eur J Oper Res 206(1):155–167

    Article  Google Scholar 

  • Muscettola N (1992) Scheduling by iterative partition of bottleneck conflicts. Technical Report CMU-RI-TR-92-05, The Robotics Institute, Carnegie Mellon University, USA

  • Pérez G, de la Maza ES (2006) Crew rostering problem in a public transport company. J Oper Res Soc 57:1173–1179

    Article  Google Scholar 

  • Reinsch A (2007) Fachkonzept zur EDV-gestützten automatisierten Urlaubsplanung und—abstimmung für Fahrdienstmitarbeiter unter Berücksichtigung von verkehrlichen, mitarbeiterbezogenen und dispositiven Faktoren. Unpublished diploma thesis, Dresden: University of Technology, Germany

  • Smith LD, Bird D, Wiggins A (1979) A computerised system to schedule nurses that recognises staff preferences. Hosp Health Serv Adm 24(4):19–35

    Google Scholar 

  • Sohoni MG, Johnson EL, Bailey TG (2006) Operational airline reserve crew planning. J Sched 9(3):203–221

    Article  Google Scholar 

  • Xu J, Sohoni M, McCleery M, Bailey TG (2006) A dynamic neighborhood based tabu search algorithm for real-world flight instructor scheduling problems. Eur J Oper Res 169(3):978–993

    Article  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  Google Scholar 

Download references

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Correspondence to Sigrun Dewess.

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Supported by the German Federal Ministry of Transport, Building and Urban Affairs (Ref.-No.: 03WWSN037) and presented at CASPT 2009 as MS136.

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Dewess, S. Socially acceptable annual holiday planning for the crew of a local public transport company in Germany. Public Transp 2, 25–49 (2010). https://doi.org/10.1007/s12469-010-0019-4

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  • DOI: https://doi.org/10.1007/s12469-010-0019-4

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