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A design science research approach to closing the gap between the research and practice of project scheduling

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  • Jeff Scales

Abstract

This paper illustrates one researcher's experience of applying design science research (DSR) to the nexus between systems thinking and project scheduling. Project management has become increasingly popular in the decades since its advent but has changed little in that time. This is especially true because of its signature technique, project scheduling. Scheduling research however is vibrant and modern and even includes dynamic concepts such as learning curves in schedule construction. However, justifications for acquiring this level of systems literacy have not yet convinced the practice community. A similar gap is identified in management science, and a literature review yields two potential solutions: dissolving the subjective‐objective divide by adopting Critical Realism and using DSR as a framework for producing artefacts. This paper outlines how these concepts were applied to project scheduling, resulting in a new method for schedule construction that allows an expanded range of concepts to be included.

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  • Jeff Scales, 2020. "A design science research approach to closing the gap between the research and practice of project scheduling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(5), pages 804-812, September.
    • Handle: RePEc:bla:srbeha:v:37:y:2020:i:5:p:804-812
    DOI: 10.1002/sres.2743
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    References listed on IDEAS

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    1. Herroelen, Willy & Demeulemeester, Erik & De Reyck, Bert, 2001. "A note on the paper "Resource-constrained project scheduling: Notation, classification, models and methods" by Brucker et al," European Journal of Operational Research, Elsevier, vol. 128(3), pages 679-688, February.
    2. Graham Kendall & Ruibin Bai & Jacek Błazewicz & Patrick De Causmaecker & Michel Gendreau & Robert John & Jiawei Li & Barry McCollum & Erwin Pesch & Rong Qu & Nasser Sabar & Greet Vanden Berghe , 2016. "Good Laboratory Practice for optimization research," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(4), pages 676-689, April.
    3. Brailsford, Sally C. & Eldabi, Tillal & Kunc, Martin & Mustafee, Navonil & Osorio, Andres F., 2019. "Hybrid simulation modelling in operational research: A state-of-the-art review," European Journal of Operational Research, Elsevier, vol. 278(3), pages 721-737.
    4. 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.
    5. Brucker, Peter & Drexl, Andreas & Mohring, Rolf & Neumann, Klaus & Pesch, Erwin, 1999. "Resource-constrained project scheduling: Notation, classification, models, and methods," European Journal of Operational Research, Elsevier, vol. 112(1), pages 3-41, January.
    6. Thomas L. Saaty, 1998. "Reflections and Projections on Creativity in Operations Research and Management Science: A Pressing Need for a Shift in Paradigm," Operations Research, INFORMS, vol. 46(1), pages 9-16, February.
    7. Joan E. van Aken, 2004. "Management Research Based on the Paradigm of the Design Sciences: The Quest for Field‐Tested and Grounded Technological Rules," Journal of Management Studies, Wiley Blackwell, vol. 41(2), pages 219-246, March.
    8. Mingers, John, 2015. "Helping business schools engage with real problems: The contribution of critical realism and systems thinking," European Journal of Operational Research, Elsevier, vol. 242(1), pages 316-331.
    9. Philipp Baumann & Norbert Trautmann, 2016. "A note on the selection of priority rules in software packages for project management," Flexible Services and Manufacturing Journal, Springer, vol. 28(4), pages 694-702, December.
    10. Kolisch, Rainer & Sprecher, Arno, 1997. "PSPLIB - A project scheduling problem library : OR Software - ORSEP Operations Research Software Exchange Program," European Journal of Operational Research, Elsevier, vol. 96(1), pages 205-216, January.
    11. J Mingers, 2000. "The contribution of critical realism as an underpinning philosophy for OR/MS and systems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1256-1270, November.
    12. James E. Kelley, 1961. "Critical-Path Planning and Scheduling: Mathematical Basis," Operations Research, INFORMS, vol. 9(3), pages 296-320, June.
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    Cited by:

    1. Roelien Goede, 2020. "Nature's enduring patterns: A path to systems literacy," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(5), pages 787-788, September.

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