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), pp. 345-360. ISSN 1471-4175
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction estimating; decision-making; house of quality; information systems; information management; preliminary design; quality function deployment; quality management; value management; value engineering |
| Index terms: | Egypt, construction industry, quality management, quality function deployment, investigation, client satisfaction, value management, real estate, designer, statistical analysis, owner, key performance indicator, preliminary design, estimating, house of quality, information system, evidence, questionnaire, construction estimating, decision-making, multistory building, survey, construction company, value engineering, decision support, specification, manager, feasibility study, proposal |
| Subjects: | construction type, profession, data collection methods, evaluation and assessment methods, organization, client relations, value management, practitioner, quality function deployment, real estate economics, design stages, project planning, data science, project delivery, financial and cost management, management, design practice, Geography, contractual condition, sociology, decision analysis, industry analysis, quality assurance, information systems |
| Topics: | Contract Administration, Urban Studies, Digital Applications, Design Practice, Value Management, Quality Management, Roles and Professions, Stakeholder Management, Risk Management, Construction Technology, Cost Management, Business Strategy, Project Management, Geographical Context, Research Practice |
| Descriptive scope: | 5 PCTEA |
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