Learning curve modelling of gas pipeline construction in Egypt

Ammar, M A and Samy, M (2015) Learning curve modelling of gas pipeline construction in Egypt. International Journal of Construction Management, 15(3), pp. 229-238. ISSN 1562-3599

Abstract

It is commonly accepted that production rates for repetitive tasks will improve with acquired experience and learning. Several mathematical models, or learning curves, have been proposed to investigate improvement in productivity as a function of the number of units produced. Deciding the best-fit learning curve model for construction activities is a managerial challenge. In this paper, the best-fit learning curve model for describing past performance of gas pipeline construction in Egypt is investigated. Data were collected from eight real-life projects, which are constructed in different types of land, under various weather conditions with different sizes, lengths, and pipe diameters. Only labour-intensive activities are considered in the present work. Cumulative average data is used to represent collected data in order to ensure curve smoothness as well as to avoid scattered data. The commercial Statistical Package for Social Science (SPSS) is used to determine Pearson's coefficient of correlation. The cubic model is found to be the best fitting curve to describe welding activities in gas pipeline construction activities in Egypt. This work helps both academics and practitioners in deciding the best-fit learning curve model(s) for gas pipeline construction. This will aid in making realistic estimates of the time and cost of repetitive projects.

Item Type: Article
Uncontrolled Keywords: gas pipeline construction; learning curve models; learning development effect; Pearson coefficient of correlation; repetitive projects
Index terms: pipeline construction, mathematical model, practitioner, weather, package, repetitive project, productivity, construction activity, social science, modelling, estimate, Egypt, land
Subjects: practitioner, air quality, mathematical modelling, analytical methods, financial and cost management, contractual arrangements, construction operations, real estate economics, production management, Geography, civil engineering, theoretical framing, management
Topics: Procurement, Sustainability, Roles and Professions, Research Practice, Project Management, Geographical Context, Engineering Principles, Business Strategy, Cost Management, Site Management, Urban Studies
Descriptive scope: 4 PCTA

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