Best Fit for Common Purpose: A Multi-Stakeholder Design Optimization Methodology for Construction Management
Author(s): |
Dmitry Zhilyaev
Ruud Binnekamp A. M. Rogier Wolfert |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 24 April 2022, n. 5, v. 12 |
Page(s): | 527 |
DOI: | 10.3390/buildings12050527 |
Abstract: |
Within traditional design processes, decisions are often made based on individualistic values and late-stage assessments conducted on a predefined set of design alternatives potentially leading to suboptimal design decisions and conflicts. The issues are further amplified by the growing complexity of construction project management where an increasing number of stakeholders are involved. To address those issues, a shift is needed towards a collaborative early stage optimization-based design process. The current optimization-based design approaches are not appropriately integrating stakeholders and their preferences in the optimization process and thereby not reflecting the real-life design and construction process. In this study, we present a pioneering multi-stakeholder design methodology combining preference function modeling theory and a priori optimization enabling stakeholders to find the group-optimal design fairly representing their preferences. The application of the developed methodology is demonstrated on a real-life multi-storey building design case. The study provides a novel approach for managing design and construction projects for academic and industry stakeholders. It also sets the foundation for the further development of stakeholder-oriented optimization-based design. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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10664323 - Published on:
09/05/2022 - Last updated on:
01/06/2022