Said, H (2016) Modeling and likelihood prediction of prefabrication feasibility for electrical construction firms. Journal of Construction Engineering and Management, 142(2): 04015071, ISSN 0733-9364
Abstract
Electrical contracting firms have consistently pursued industrializing their business through the implementation of prefabrication, lean production, and supply chain integration. Despite the pioneering prefabrication efforts of electrical contractors, there is still no clear understanding of the determinants of electrical prefabrication feasibility in terms of supply chain collaboration and surrounding industry requirements. Accordingly, this paper presents the development of prediction models of prefabrication feasibility for electrical contractors. The research tasks of this study were performed in three main phases. The first phase included various data collection tasks, including conducting semistructured interviews, providing an online questionnaire, and obtaining relevant local economic data of the respondents' metropolitan areas. The second phase involved the utilization of the collected questionnaire responses and economic data to develop logistic regression models that relate the prefabrication feasibility to its statistically significant determinants. The third phase involved validating the developed models by assessing their prediction accuracy and performing extensive sensitivity analysis of their determinants. The findings of this study should prove useful to electrical contractors who need to obtain data-driven assessment of prefabrication feasibility considering their business attributes and surrounding industry parameters. This study presents the two main contributions to the study field of construction prefabrication. First, prefabrication feasibility was found to be significantly dependent on four industry-related determinants: regional economic growth, industry competition, labor cost rate, and worker union resistance. Second, prefabrication feasibility was found to be significantly dependent on two main internal firm-related determinants: building information modeling capability and supply coordination with vendors.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction materials and method |
| Index terms: | labour cost, construction material, coordination, supply chain integration, prefabrication, modelling, implementation, determinant, logistic regression, building information modelling, questionnaire, competition, collaboration, sensitivity analysis, interview, construction firm, regional economic, accuracy, lean production, prediction model |
| Subjects: | market analysis, building construction, statistical analysis, environmental hazards, information systems, cost management, management, manufacturing engineering, professional development, building materials, contractual arrangements, supply chain integration, prediction and forecasting, economic analysis, analytical methods, risk assessment, data collection methods, organization |
| Topics: | Organizational Design, Supply Chain Management, Digital Applications, Construction Technology, Procurement, Sustainability, Risk Management, Research Practice, Information Management, Engineering Principles, Business Strategy |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here