Abstracts – Browse Results
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Akunyumu, S, Fugar, F D K, Adinyira, E and Danku, J C (2021) A review of models for assessing readiness of construction organisations to innovate. Construction Innovation, 21(2), 279-99.
Alvanchi, A, Bajalan, Z and Iravani, P (2021) Emission assessment of alternative dam structure types, a novel approach to consider in new dam projects. Construction Innovation, 21(2), 203-17.
Chileshe, N, Kavishe, N and Edwards, D J (2021) Critical factors influencing the bid or no-bid decision of the indigenous small building contractors in Tanzania. Construction Innovation, 21(2), 182-202.
Elhegazy, H, Ebid, A, Mahdi, I, Haggag, S and Abdul-Rashied, I (2021) Implementing QFD in decision making for selecting the optimal structural system for buildings. Construction Innovation, 21(2), 345-60.
- Type: Journal Article
- Keywords: construction estimating; decision-making; house of quality; information systems; information management; preliminary design; quality function deployment; quality management; value management; value engineering
- ISBN/ISSN:
- URL: https://doi.org/10.1108/CI-12-2019-0149
- Abstract:
The purpose of this study is how to use the quality function deployment (QFD) in the construction industry. The study was performed for the owners and decision-makers of a construction company in Egypt, as a sample, and the owners' requirements. The data collection process and the type of data collected are described in this section. The data used in this study was collected from a questionnaire survey and was quantitatively analyzed using statistical analysis to identify the practices that have a statistically significant correlation with the performance of the design in the structural system of multistory buildings. A structured questionnaire five points Likert scaled based was adopted in this study; the questionnaires were distributed to experts, managers in real estate companies, construction industry-academic experts and advisors. The resulting list of factors, issues and knowledge gaps was subjected to a questionnaire survey for quantitative confirmation and identification of the most important factors, issues and knowledge gaps by distributing the questionnaires to experts, managers in real estate companies, construction industry-academic experts, and advisor to identify ambiguous questions/items and to test the techniques used to collect data. The effect of many internal and external factors that affect on value engineering and decision support systems, such as schedule time, cost, the purpose of the building, availability of materials and environmental, needs to be considered in the structural system for multi-story buildings. The final proposal for the house of quality-chart helps designers and decision-makers in the preliminary phase and feasibility study stage for choosing the structural system using value engineering analysis for multi-story buildings. Also, construction and engineering industries can use the findings from this study as a basis for selecting the optimal structural system for multi-story buildings. The estimating team will be able to accurately make decisions and give recommendations regarding an optimal structural system for multi-story buildings for different activities. Practical implications: The proposed approach enables decision-makers and designers to select the optimum system for multi-story buildings according to the key performance indicators (KPIs) toward client satisfaction and conduct analytical investigations to facilitate decision-making in a structural system for the multi-story building in Egypt. The proposed approach enables decision-makers and designers to select the optimum system for multi-story buildings according to the KPIs toward client satisfaction and conduct analytical investigations to facilitate decision-making in the structural system for the multi-story building in Egypt. QFD is a technique that availed in many industries and it is used in evaluating the customer expectations, reflecting this evidence on the product specifications. In recent years, this technique is used also in construction industry projects. It is will help designers and decision-makers in the preliminary phase and feasibility study stage for choosing the structural system using value engineering analysis for multi-story buildings.
Garg, R, Chhikara, R, Singh, R, Agrawal, G, Talwar, V and Mehra, V (2021) A qualitative study to understand the factors affecting the adoption of glass fiber-reinforced gypsum (GFRG) as a sustainable building technology: insights from Indian construction industry. Construction Innovation, 21(2), 321-44.
Li, H, Su, L, L.V, L and Xia, Q (2021) Detecting unbalanced bidding to achieve economic sustainability using fuzzy logic approach. Construction Innovation, 21(2), 164-81.
Marzouk, M and Ashmawy, M M (2021) Assessment of highways concrete and asphalt pavements using superiority inferiority ranking technique. Construction Innovation, 21(2), 259-78.
Ormeño Zender, Y and García de Soto, B (2021) Use of Scrum in the rehabilitation of a commercial building in Peru. Construction Innovation, 21(2), 145-63.
Rodrigues, F, Antunes, F and Matos, R (2021) Safety plugins for risks prevention through design resourcing BIM. Construction Innovation, 21(2), 244-58.
Silverio-Fernández, M A, Renukappa, S and Suresh, S (2021) Strategic framework for implementing smart devices in the construction industry. Construction Innovation, 21(2), 218-43.
Vaz-Serra, P and Edwards, P (2021) Addressing the knowledge management "nightmare” for construction companies. Construction Innovation, 21(2), 300-20.