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Client‐contractor bargaining on net present value in project scheduling with limited resources

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  • Nursel Kavlak
  • Gündüz Ulusoy
  • Funda Sivrikaya Şerifoğlu
  • Ş. İlker Birbil

Abstract

The client‐contractor bargaining problem addressed here is in the context of a multi‐mode resource constrained project scheduling problem with discounted cash flows, which is formulated as a progress payments model. In this model, the contractor receives payments from the client at predetermined regular time intervals. The last payment is paid at the first predetermined payment point right after project completion. The second payment model considered in this paper is the one with payments at activity completions. The project is represented on an Activity‐on‐Node (AON) project network. Activity durations are assumed to be deterministic. The project duration is bounded from above by a deadline imposed by the client, which constitutes a hard constraint. The bargaining objective is to maximize the bargaining objective function comprised of the objectives of both the client and the contractor. The bargaining objective function is expected to reflect the two‐party nature of the problem environment and seeks a compromise between the client and the contractor. The bargaining power concept is introduced into the problem by the bargaining power weights used in the bargaining objective function. Simulated annealing algorithm and genetic algorithm approaches are proposed as solution procedures. The proposed solution methods are tested with respect to solution quality and solution times. Sensitivity analyses are conducted among different parameters used in the model, namely the profit margin, the discount rate, and the bargaining power weights. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009

Suggested Citation

  • Nursel Kavlak & Gündüz Ulusoy & Funda Sivrikaya Şerifoğlu & Ş. İlker Birbil, 2009. "Client‐contractor bargaining on net present value in project scheduling with limited resources," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(2), pages 93-112, March.
  • Handle: RePEc:wly:navres:v:56:y:2009:i:2:p:93-112
    DOI: 10.1002/nav.20331
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    1. A. H. Russell, 1970. "Cash Flows in Networks," Management Science, INFORMS, vol. 16(5), pages 357-373, January.
    2. Kolisch, R. & Padman, R., 2001. "An integrated survey of deterministic project scheduling," Omega, Elsevier, vol. 29(3), pages 249-272, June.
    3. Kobberling, Veronika & Peters, Hans, 2003. "The effect of decision weights in bargaining problems," Journal of Economic Theory, Elsevier, vol. 110(1), pages 154-175, May.
    4. Richard C. Grinold, 1972. "The payment scheduling problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 19(1), pages 123-136, March.
    5. Mika, Marek & Waligora, Grzegorz & Weglarz, Jan, 2005. "Simulated annealing and tabu search for multi-mode resource-constrained project scheduling with positive discounted cash flows and different payment models," European Journal of Operational Research, Elsevier, vol. 164(3), pages 639-668, August.
    6. Padman, Rema & Smith-Daniels, Dwight E., 1993. "Early-tardy cost trade-offs in resource constrained projects with cash flows: An optimization-guided heuristic approach," European Journal of Operational Research, Elsevier, vol. 64(2), pages 295-311, January.
    7. A. Kimms, 2001. "Maximizing the Net Present Value of a Project Under Resource Constraints Using a Lagrangian Relaxation Based Heuristic with Tight Upper Bounds," Annals of Operations Research, Springer, vol. 102(1), pages 221-236, February.
    8. Herroelen, Willy S. & Van Dommelen, Patrick & Demeulemeester, Erik L., 1997. "Project network models with discounted cash flows a guided tour through recent developments," European Journal of Operational Research, Elsevier, vol. 100(1), pages 97-121, July.
    9. Gündüz Ulusoy & Funda Sivrikaya-Şerifoğlu & Şule Şahin, 2001. "Four Payment Models for the Multi-Mode Resource Constrained Project Scheduling Problem with Discounted Cash Flows," Annals of Operations Research, Springer, vol. 102(1), pages 237-261, February.
    10. Ulusoy, Gunduz & Cebelli, Serkan, 2000. "An equitable approach to the payment scheduling problem in project management," European Journal of Operational Research, Elsevier, vol. 127(2), pages 262-278, December.
    11. Mario Vanhoucke & Erik Demeulemeester & Willy Herroelen, 2001. "On Maximizing the Net Present Value of a Project Under Renewable Resource Constraints," Management Science, INFORMS, vol. 47(8), pages 1113-1121, August.
    12. Rainer Kolisch & Arno Sprecher & Andreas Drexl, 1995. "Characterization and Generation of a General Class of Resource-Constrained Project Scheduling Problems," Management Science, INFORMS, vol. 41(10), pages 1693-1703, October.
    13. Robert A. Russell, 1986. "A Comparison of Heuristics for Scheduling Projects with Cash Flows and Resource Restrictions," Management Science, INFORMS, vol. 32(10), pages 1291-1300, October.
    14. Joseph G. Szmerekovsky, 2005. "The Impact of Contractor Behavior on the Client's Payment-Scheduling Problem," Management Science, INFORMS, vol. 51(4), pages 629-640, April.
    15. Rema Padman & Dwight E. Smith‐Daniels & Vicki L. Smith‐Daniels, 1997. "Heuristic scheduling of resource‐constrained projects with cash flows," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(4), pages 365-381, June.
    16. Ervig, U. & Haake, C.-J., 2005. "Trading bargaining weights," Journal of Mathematical Economics, Elsevier, vol. 41(8), pages 983-993, December.
    17. Kolisch, Rainer & Sprecher, Arno, 1996. "PSPLIB - a project scheduling problem library," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 396, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
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