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A web-based workforce management system for Sainsburys Supermarkets Ltd

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Abstract

Labour scheduling plays an important and critical role in Sainsburys day to day operations and profitability. The integrated workforce management solution for Sainsburys is an intelligent solution for the operational deployment of human resources, integrated business forecasting, generation and calculation of workload and staff scheduling. The workforce management technology has provided Sainsburys with a fully web-based and centralised system that produces optimised schedules for all employees satisfying the forecasted demand of work with granularity of fifteen minutes. The system is configured to respect all operational and business requirements as well as employee contractual constraints. This paper introduces the workforce management solution system designed, developed and implemented for Sainsburys. We concentrate on two modelling structures, namely the work pattern model and optimisation model, and briefly discuss the optimisation process.

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References

  • Baptiste, P., LePape, C., & Nuijten, W. (2001). Constraint-based scheduling. Kluwer Academic.

  • Burke, E. K., & Petrovic, S. (2002). Recent research directions in automated timetabling. European Journal of Operational Research, 140, 266–280.

    Article  Google Scholar 

  • Beringer, H., & De Backer, B. (1995). Combinatorial problem solving in Constraint Logic Programming with Cooperating Solvers. In C. Beierle & L. Plumer (Eds.), Logic programming: formal methods and practical applications. North Holland.

  • De Kleer, J. (1986). An assumption-based TMS. Artificial Intelligence, 28(2), 127–162.

    Article  Google Scholar 

  • Dowsland, K., & Thompson, J. (2000). Solving a nurse scheduling problem with knapsacks, networks and tabu search. Journal of the Operational Research Society, 51, 825–833.

    Article  Google Scholar 

  • Ernest, A. T., Jiang, H., Krishnamoorthy, M., & Sier, D. (2004). Staff scheduling and rostering: a review of applications, methods and models. European Journal of Operational Research, 153, 3–27.

    Article  Google Scholar 

  • Eveborn, P., & Rönnqvist, M. (2004). Scheduler—a system for staff planning. Annals of Operations Research, 128, 21–45.

    Article  Google Scholar 

  • Guerinik, N., & Hadjiat, M. (2000a). A hybrid method for solving employee timetabling problem. International symposium on combinatorial optimisation (CO2000), London.

  • Guerinik, N., & Hadjiat, M. (2000b). A successful combination of integer linear programming and constraint programming in solving employee timetabling problem. Conference of the European chapter on combinatorial optimisation (ECCO), Capri.

  • Lasry, A., McInnis, D., Soumis, F., Desrosiers, J., & Solomon, M. (2000). Air Transat uses ALTITUDE to manage its aircraft routing, crew pairing, and work assignment. Interfaces, 30(2), 35–41.

    Google Scholar 

  • Jiang, H., Krishnamoorthy, M., & Sier, M. (Eds.). (2004). Staff scheduling and rostering: theory and applications, Part II. Annals of Operational Research, 128, 1–4.

    Google Scholar 

  • Lin, C. K. Y., Lai, K. F., & Hung, S. L. (2000). Development of a workforce management system for a customer hotline service. Computers & Operations Research, 27, 987–1004.

    Article  Google Scholar 

  • Mautor, T., & Michelon, P. (1997). Mimausa: a new hybrid method combining exact solution and local search. Second international conference on meta-heuristics, MIC 2, Sophia Antipolis, France.

  • Mirrazavi, S. K., Mardle, S. J., & Tamiz, M. (2003). A two-phase multiple objective approach to university timetabling utilising optimisation and evolutionary solution methodologies. Journal of Operational Research Society, 54, 1155–1166.

    Article  Google Scholar 

  • Puget, J. F. (1998). Constraint programming: a great AI success. In H. Prade (Ed.), 13th European conference on artificial intelligence, ECAI98. Brighton, UK. Wiley.

  • Refalo, P. (1999). Tight cooperation and its applications in piecewise linear optimisation. In J. Jaffar (Ed.), Principles and practice of constraint programming. Berlin: Springer-Verlag.

    Google Scholar 

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Authors and Affiliations

  1. Workbrain UK Ltd., Caroline House, 55-57 High Holborn, London, WC1V 6DX, UK

    S. Keyvan Mirrazavi

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  1. S. Keyvan Mirrazavi
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  2. Henri Beringer
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Correspondence to S. Keyvan Mirrazavi.

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Mirrazavi, S.K., Beringer, H. A web-based workforce management system for Sainsburys Supermarkets Ltd. Ann Oper Res 155, 437–457 (2007). https://doi.org/10.1007/s10479-007-0204-2

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