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Decision rules for the project selection and scheduling problem of professional service firms

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  • Michael Hoeck

Abstract

This paper deals with two decision rules for the project selection and scheduling problem of professional service firms, such as IT, accounting, law and consulting firms. In brief, the decision problem can be characterised as how much of the available personnel capacity should be assigned to orders under negotiation and how much should be reserved for projects to come. In practice, the decision-making process is often based on a target ROI and a rough-cut capacity requirements planning. In the following study a Revenue Management (RM) technique is applied to the project selection and scheduling problem. A numerical experiment indicates that the new approach outperforms the traditional decision rule in a market environment with moderately stable prices.

Suggested Citation

  • Michael Hoeck, 2008. "Decision rules for the project selection and scheduling problem of professional service firms," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 4(4), pages 427-440.
    • Handle: RePEc:ids:ijsoma:v:4:y:2008:i:4:p:427-440
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    Cited by:

    1. Chia-Hua Cheng & James J. H. Liou & Chui-Yu Chiu, 2017. "A Consistent Fuzzy Preference Relations Based ANP Model for R&D Project Selection," Sustainability, MDPI, vol. 9(8), pages 1-17, August.

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