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Project Contracts and Payment Schedules: The Client's Problem

Author

Listed:
  • Nalini Dayanand

    (Dialogos, Inc., 12 Farnsworth Street, Boston, Massachusetts 02210)

  • Rema Padman

    (The H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

Abstract

Contractual agreements have assumed significant complexity in recent times because of the emergence of strategies like outsourcing and partnering in the successful completion of large software development, manufacturing, and construction projects. A client and contractor enter into an agreement for a project either by bidding or negotiation. Effective and efficient bidding, negotiation, and subsequent monitoring are hindered by the lack of appropriate decision support tools for the management of project finances. Progress payments to the contractor are an important issue in project management because of their potential impact on project finances and activity schedules. In this paper, we consider the problem of simultaneously determining the amount, location, and timing of progress payments in projects from a client's perspective. We develop three mixed-integer linear programming models, based on some practical methods of determining payment schedules from different types of project contracts. We discuss properties of the models and draw insights about the characteristics of optimal payment schedules obtained with each model by an experimental study on a sample of 10 small projects. Our analysis shows that, contrary to current practice, the client obtains the greatest benefit by scheduling the project for early completion such that the payments are not made at regular intervals. It is also cost effective for the client to make payments either in the early stages of the project or toward the end, even though this causes considerable variation in the time gap between payments. We also evaluate the impact of the client's preferred payment schedules on the contractor's finances and activity schedules, and draw some conclusions on the interdependence of payment and project parameters on the objectives of both parties entering the contractual agreement.

Suggested Citation

  • Nalini Dayanand & Rema Padman, 2001. "Project Contracts and Payment Schedules: The Client's Problem," Management Science, INFORMS, vol. 47(12), pages 1654-1667, December.
  • Handle: RePEc:inm:ormnsc:v:47:y:2001:i:12:p:1654-1667
    DOI: 10.1287/mnsc.47.12.1654.10242
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Estévez-Fernández, Arantza, 2012. "A game theoretical approach to sharing penalties and rewards in projects," European Journal of Operational Research, Elsevier, vol. 216(3), pages 647-657.
    2. Zhang, Jingwen & Elmaghraby, Salah E., 2014. "The relevance of the “alphorn of uncertainty” to the financial management of projects under uncertainty," European Journal of Operational Research, Elsevier, vol. 238(1), pages 65-76.
    3. Kolisch, Rainer & Padman, Rema, 1997. "An integrated survey of project scheduling," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 463, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Shi Chen & Hau Lee, 2017. "Incentive Alignment and Coordination of Project Supply Chains," Management Science, INFORMS, vol. 63(4), pages 1011-1025, April.
    5. Zhengwen He & Nengmin Wang & Pengxiang Li, 2014. "Simulated annealing for financing cost distribution based project payment scheduling from a joint perspective," Annals of Operations Research, Springer, vol. 213(1), pages 203-220, February.
    6. Wenbo Shi & Tianke Feng, 2016. "Examining supply contracts under cost and demand uncertainties from supplier’s perspective: a real options approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 83-97, January.
    7. Moon, Yongma & Yao, Tao & Jiang, Bin, 2011. "Outsourcing versus joint venture from vendor's perspective," International Journal of Production Economics, Elsevier, vol. 129(1), pages 23-31, January.
    8. Minhyuk Jung & Shira You & Seokho Chi & Ilhan Yu & Bon-Gang Hwang, 2018. "The Relationship between Unbilled Accounts Receivable and Financial Performance of Construction Contractors," Sustainability, MDPI, vol. 10(8), pages 1-14, July.
    9. Cyril Briand & Sandra Ulrich Ngueveu & Přemysl Šůcha, 2017. "Finding an optimal Nash equilibrium to the multi-agent project scheduling problem," Journal of Scheduling, Springer, vol. 20(5), pages 475-491, October.
    10. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    11. Chung-Lun Li & Nicholas G. Hall, 2019. "Work Package Sizing and Project Performance," Operations Research, INFORMS, vol. 67(1), pages 123-142, January.
    12. Sobel, Matthew J. & Szmerekovsky, Joseph G. & Tilson, Vera, 2009. "Scheduling projects with stochastic activity duration to maximize expected net present value," European Journal of Operational Research, Elsevier, vol. 198(3), pages 697-705, November.
    13. Kimms, Alf & Fischer, Sven, 1998. "Zahlungsorientierte Gestaltung von Werkverträgen," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 467, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    14. Pascale Crama & Bert De Reyck & Zeger Degraeve, 2008. "Milestone Payments or Royalties? Contract Design for R&D Licensing," Operations Research, INFORMS, vol. 56(6), pages 1539-1552, December.
    15. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    16. Leyman, Pieter & Vanhoucke, Mario, 2017. "Capital- and resource-constrained project scheduling with net present value optimization," European Journal of Operational Research, Elsevier, vol. 256(3), pages 757-776.
    17. Banaszak, Z.A. & Zaremba, M.B. & Muszynski, W., 2009. "Constraint programming for project-driven manufacturing," International Journal of Production Economics, Elsevier, vol. 120(2), pages 463-475, August.
    18. He, Zhengwen & Liu, Renjing & Jia, Tao, 2012. "Metaheuristics for multi-mode capital-constrained project payment scheduling," European Journal of Operational Research, Elsevier, vol. 223(3), pages 605-613.
    19. He, Zhengwen & Xu, Yu, 2008. "Multi-mode project payment scheduling problems with bonus-penalty structure," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1191-1207, September.
    20. Dalia H. Dorrah & Brenda McCabe, 2023. "Integrated Agent-Based Simulation and Game Theory Decision Support Framework for Cash Flow and Payment Management in Construction Projects," Sustainability, MDPI, vol. 16(1), pages 1-25, December.
    21. He, Zhengwen & Wang, Nengmin & Jia, Tao & Xu, Yu, 2009. "Simulated annealing and tabu search for multi-mode project payment scheduling," European Journal of Operational Research, Elsevier, vol. 198(3), pages 688-696, November.
    22. Kerkhove, L.P. & Vanhoucke, M., 2016. "Incentive contract design for projects: The owner׳s perspective," Omega, Elsevier, vol. 62(C), pages 93-114.
    23. Tony Chen & Ted Klastorin & Michael R. Wagner, 2015. "Incentive Contracts in Serial Stochastic Projects," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 290-301, July.
    24. 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.

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