ENBIS-8 in Athens

21 – 25 September 2008 Abstract submission: 14 March – 11 August 2008

Desirability Analysis in Construction Design Quality Improvement

22 September 2008, 14:20 – 14:40

Abstract

Submitted by
ELEFTHERIOS - STAMATIOS TELIS
Authors
E.S. Telis, G. Besseris and C. Stergiou
Affiliation
Technological and Educational Institute of Piraeus
Abstract
Construction project management is one of the fields that necessitates continuous support from modern quality improvement tools because of local government enhanced building specifications as well as customer increased awareness on construction issues. This work regards a multi-response optimization problem that includes well-known quality responses in construction such as safety factor, steel tension and total displacements. The problem possesses a high degree of interest because each of these responses may follow a different optimization direction. Desirability analysis is utilized to decipher the optimum levels of active factors and their corresponding two-way interactions. A preliminary screening of an 8-run fractional factorial design for seven nominated control factors showed that only one was a dominant influence on all three responses. However, the interactions engaged pairs of all factors considered in the screening phase. Therefore, during robust design, a sixteen-run design was employed to accommodate seven control factors and eight interactions. Data were collected by running professional design software package Plaxis. Goal setting is gauged against several weight adjustments. The importance of responses was decided through a brainstorming session that involved operations and quality managers as well as several experienced engineers. It is important to stress that the improvement effort is focused early in the product design phase during the blueprint drawing process of a real excavation project that involves a six-floor building with a three-level underground garage. We discuss the results that seem to promote a linear dependence between responses and active factors and interactions.
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