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Open AccessArticle

Value Analysis Model to Support the Building Design Process

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School of Engineering, Department of Construction Engineering and Management, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Macul, Santiago, Chile
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School of Civil Construction, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Macul, Santiago, Chile
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School of Civil Engineering, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
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Author to whom correspondence should be addressed.
Sustainability 2020, 12(10), 4224; https://doi.org/10.3390/su12104224
Received: 18 April 2020 / Revised: 10 May 2020 / Accepted: 11 May 2020 / Published: 21 May 2020
(This article belongs to the Special Issue Lean Design and Building Information Modelling)
The architecture, engineering, and construction industry requires methods that link the capture of customer requirements with the continuous measurement of the value generated and the identification of value losses in the design process. A value analysis model (VAM) is proposed to measure the value creation expected by customers and to identify value losses through indexes. As points of reference, the model takes the Kano model and target costing, which is used in the building project design process. The VAM was developed under the design science research methodology, which focuses on solving practical problems by producing outputs by iteration. The resulting VAM allowed the measurement and analysis of value through desired, potential, and generated value indexes, value loss identification, and percentages of value fulfillment concerning the design stage. The VAM permits the comparison of different projects, visualization of the evolution of value generation, and identification of value losses to be eradicated. The VAM encourages constant feedback and has potential to deliver higher value, as it enables the determination of parameters that add value for different stakeholders and informs designers where to direct resources and efforts to enhance vital variables and not trivial variables. View Full-Text
Keywords: value generation; value loss; desired value; potential value; value indexes; design science research value generation; value loss; desired value; potential value; value indexes; design science research
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MDPI and ACS Style

Giménez, Z.; Mourgues, C.; Alarcón, L.F.; Mesa, H.; Pellicer, E. Value Analysis Model to Support the Building Design Process. Sustainability 2020, 12, 4224.

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