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Optimising coordinated multi-team volunteer scheduling: a combined constraint programming and goal programming approach

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  • Christopher Garcia
  • Ghaith Rabadi

Abstract

Volunteer scheduling is often more difficult than other types of labour scheduling because the non-compulsory nature of such work requires organisations to respect many more preferences and constraints. Furthermore, there is very little existing research in this type of scheduling. In this paper, we describe a software system based on constraint programming (CP) and goal programming (GP) we developed to enable a volunteer-run church to schedule its weekly operations. Multiple volunteer teams operate each week within this organisation, and each team has a required number of weekly volunteers. Each team has its own scheduling objective: either to maximise the amount of time each worker has off or to maximise worker participation. Conflicts between jobs and workers must also be prevented in addition to respecting several types of worker preferences. We develop a CP–GP approach for solving this problem and discuss the computational results obtained.

Suggested Citation

  • Christopher Garcia & Ghaith Rabadi, 2011. "Optimising coordinated multi-team volunteer scheduling: a combined constraint programming and goal programming approach," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 9(2), pages 183-194.
    • Handle: RePEc:ids:ijisen:v:9:y:2011:i:2:p:183-194
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    Cited by:

    1. Forouzandeh Jannat & Davoud Khorasani-Zavareh & Javad Mir-Aghazadeh-Attari & Kiyoumars Allahbakhshi & Iraj Mohebbi, 2020. "Designing a model for organizing volunteer personnel in disasters and emergencies in Tehran’s hospitals: an integrated approach of Fuzzy Delphi and interpretative structure modeling (ISM)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(2), pages 1807-1821, September.

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