IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v16y1998i1p79-90.html
   My bibliography  Save this article

Planned and unplanned schedule compression: the impact on labour

Author

Listed:
  • David Noyce
  • Awad Hanna

Abstract

Constructors confronted with the need to compress or accelerate a construction schedule face the potential for extreme difficulties. Unfortunately, a limited knowledge base exists for determining the techniques, methods, or concepts to be employed in mitigating these potential negative outcomes of lower labour productivity rates and higher project costs. This paper explores the impacts of planned and unplanned schedule compression on labour productivity. Additional impacts of schedule compression related to project costs and schedule duration are also evaluated. Telephone interviews and questionnaire surveys primarily were used as the means for data collection to determine which methods of schedule compression identified are most effective in each of the aforementioned areas. Members of the National Electrical Contractors Association (NECA) were used as the data source for this investigation because of their diversified experience and because of the support received from NECA management. A number of schedule compression methods are presented that have been shown to be effective.

Suggested Citation

  • David Noyce & Awad Hanna, 1998. "Planned and unplanned schedule compression: the impact on labour," Construction Management and Economics, Taylor & Francis Journals, vol. 16(1), pages 79-90.
  • Handle: RePEc:taf:conmgt:v:16:y:1998:i:1:p:79-90
    DOI: 10.1080/014461998372619
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/014461998372619
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/014461998372619?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yau, Chuk & Ritchie, Eric, 1990. "Project compression: A method for speeding up resource constrained projects which preserve the activity schedule," European Journal of Operational Research, Elsevier, vol. 49(1), pages 140-152, November.
    2. Vrat, Prem & Kriengkrairut, Charoen, 1986. "A goal programming model for project crashing with piecewise linear time-cost trade-off," Engineering Costs and Production Economics, Elsevier, vol. 10(2), pages 161-172, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antonio J. Conejo & Nicholas G. Hall & Daniel Zhuoyu Long & Runhao Zhang, 2021. "Robust Capacity Planning for Project Management," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1533-1550, October.
    2. Helena Gaspars-Wieloch, 2020. "A New Application for the Goal Programming—The Target Decision Rule for Uncertain Problems," JRFM, MDPI, vol. 13(11), pages 1-14, November.
    3. Doerner, K.F. & Gutjahr, W.J. & Hartl, R.F. & Strauss, C. & Stummer, C., 2008. "Nature-inspired metaheuristics for multiobjective activity crashing," Omega, Elsevier, vol. 36(6), pages 1019-1037, December.
    4. Kolisch, R. & Padman, R., 2001. "An integrated survey of deterministic project scheduling," Omega, Elsevier, vol. 29(3), pages 249-272, June.
    5. Rainer Kolisch & Andreas Drexl, 1996. "Adaptive search for solving hard project scheduling problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(1), pages 23-40, February.
    6. W. J. Gutjahr & C. Strauss & E. Wagner, 2000. "A Stochastic Branch-and-Bound Approach to Activity Crashing in Project Management," INFORMS Journal on Computing, INFORMS, vol. 12(2), pages 125-135, May.
    7. Doerner, Karl & Gutjahr, Walter J. & Kotsis, Gabriele & Polaschek, Martin & Strauss, Christine, 2006. "Enriched workflow modelling and Stochastic Branch-and-Bound," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1798-1817, December.
    8. Drexl, Andreas & Kolisch, Rainer, 1994. "Model-based assembly management in machine tool manufacturing," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 346, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:conmgt:v:16:y:1998:i:1:p:79-90. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.