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Analytical design planning technique (ADePT): a dependency structure matrix tool to schedule the building design process

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  • Simon Austin
  • Andrew Baldwin
  • Baizhan Li
  • Paul Waskett

Abstract

Current planning practice takes little account of the interdisciplinary, iterative nature of the building design process. This leads to a compromised design process containing inevitable cycles of rework together with associated time and cost penalties in both design and construction. The analytical design planning technique (ADePT) is a planning methodology which helps to overcome these difficulties. The central part of ADePT is a dependency structure matrix (DSM). This paper describes DSM techniques and a tool developed to optimize the design process.

Suggested Citation

  • Simon Austin & Andrew Baldwin & Baizhan Li & Paul Waskett, 2000. "Analytical design planning technique (ADePT): a dependency structure matrix tool to schedule the building design process," Construction Management and Economics, Taylor & Francis Journals, vol. 18(2), pages 173-182.
    • Handle: RePEc:taf:conmgt:v:18:y:2000:i:2:p:173-182
    DOI: 10.1080/014461900370807
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    References listed on IDEAS

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    1. McCord, Kent R. (Kent Richard) & Eppinger, Steven Daniel., 1993. "Managing the integration problem in concurrent engineering," Working papers 3594-93., Massachusetts Institute of Technology (MIT), Sloan School of Management.
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    Cited by:

    1. Ergo Pikas & Bárbara Pedó & Algan Tezel & Lauri Koskela & Markus Veersoo, 2022. "Digital Last Planner System Whiteboard for Enabling Remote Collaborative Design Process Planning and Control," Sustainability, MDPI, vol. 14(19), pages 1-27, September.
    2. Baldwin, Andrew & Poon, Chi-Sun & Shen, Li-Yin & Austin, Simon & Wong, Irene, 2009. "Designing out waste in high-rise residential buildings: Analysis of precasting methods and traditional construction," Renewable Energy, Elsevier, vol. 34(9), pages 2067-2073.
    3. Jeeeun Kim & Sungjoo Lee, 2017. "Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 47-65, April.
    4. Hosang Hyun & Hyunsoo Kim & Hyun-Soo Lee & Moonseo Park & Jeonghoon Lee, 2020. "Integrated Design Process for Modular Construction Projects to Reduce Rework," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
    5. Geyer, Philipp & Singaravel, Sundaravelpandian, 2018. "Component-based machine learning for performance prediction in building design," Applied Energy, Elsevier, vol. 228(C), pages 1439-1453.
    6. Sou-Sen Leu & Theresia Daisy Nattali Suparman & Cathy Chang-Wei Hung, 2021. "An Exploratory Study on Optimal Iterative Design Schedules with the Consideration of Design Quality and Resource Constraints," Sustainability, MDPI, vol. 13(8), pages 1-14, April.
    7. Heba Marey & Gábor Kozma & György Szabó, 2022. "Effects of Using Green Concrete Materials on the CO 2 Emissions of the Residential Building Sector in Egypt," Sustainability, MDPI, vol. 14(6), pages 1-22, March.

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