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Integrated projects planning in IS departments: A multi-period multi-project selection and assignment approach with a computerized implementation

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  • Chen, Chung-Yang
  • Liu, Heng-An
  • Song, Je-Yi

Abstract

This paper highlights the subject of integrated projects planning (IPP) in contemporary IS departments, and presents a multi-period, multi-project selection and assignment approach (MPPA) to assist the departments in handling continuous project-based IS requests. The MPPA features a model to optimize the selection and assignment of IS projects. In the scope of multi-project, multi-period planning, the model innovatively considers the losses due to (1) the accumulated postponement of a previously unselected IS request and (2) the expected delay of ongoing projects when inserting a new project request. The MPPA also features an event-based decisional process for cumulative selection and assignment on a multi-period basis. Due to the complex and contextual nature of data in this paper, a computerized system is implemented for aiding the execution of the model and the process. The paper reports on an industrial case for a demonstration of the proposed work. Finally the paper compares the MPPA with related work to summarize the value and role it may play in the IPP context.

Suggested Citation

  • Chen, Chung-Yang & Liu, Heng-An & Song, Je-Yi, 2013. "Integrated projects planning in IS departments: A multi-period multi-project selection and assignment approach with a computerized implementation," European Journal of Operational Research, Elsevier, vol. 229(3), pages 683-694.
    • Handle: RePEc:eee:ejores:v:229:y:2013:i:3:p:683-694
    DOI: 10.1016/j.ejor.2013.02.057
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    References listed on IDEAS

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    1. Engwall, Mats, 2003. "No project is an island: linking projects to history and context," Research Policy, Elsevier, vol. 32(5), pages 789-808, May.
    2. Santhanam, Radhika & Kyparisis, George J., 1996. "A decision model for interdependent information system project selection," European Journal of Operational Research, Elsevier, vol. 89(2), pages 380-399, March.
    3. Tavares, L. V., 2002. "A review of the contribution of Operational Research to Project Management," European Journal of Operational Research, Elsevier, vol. 136(1), pages 1-18, January.
    4. Gonçalves, J.F. & Mendes, J.J.M. & Resende, M.G.C., 2008. "A genetic algorithm for the resource constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1171-1190, September.
    5. Krüger, Doreen & Scholl, Armin, 2009. "A heuristic solution framework for the resource constrained (multi-)project scheduling problem with sequence-dependent transfer times," European Journal of Operational Research, Elsevier, vol. 197(2), pages 492-508, September.
    6. Wiley, Victor D. & Deckro, Richard F. & Jackson, Jack A., 1998. "Optimization analysis for design and planning of multi-project programs," European Journal of Operational Research, Elsevier, vol. 107(2), pages 492-506, June.
    7. Bouleimen, K. & Lecocq, H., 2003. "A new efficient simulated annealing algorithm for the resource-constrained project scheduling problem and its multiple mode version," European Journal of Operational Research, Elsevier, vol. 149(2), pages 268-281, September.
    8. Kalpic, Damir & Mornar, Vedran & Baranovic, Mirta, 1995. "Case study based on a multi-period multi-criteria production planning model," European Journal of Operational Research, Elsevier, vol. 87(3), pages 658-669, December.
    9. 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.
    10. Tsai, Hsien-Tang & Moskowitz, Herbert & Lee, Lai-Hsi, 2003. "Human resource selection for software development projects using Taguchi's parameter design," European Journal of Operational Research, Elsevier, vol. 151(1), pages 167-180, November.
    11. Drezet, L.-E. & Billaut, J.-C., 2008. "A project scheduling problem with labour constraints and time-dependent activities requirements," International Journal of Production Economics, Elsevier, vol. 112(1), pages 217-225, March.
    12. Lova, Antonio & Maroto, Concepcion & Tormos, Pilar, 2000. "A multicriteria heuristic method to improve resource allocation in multiproject scheduling," European Journal of Operational Research, Elsevier, vol. 127(2), pages 408-424, December.
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