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الثلاثاء، 5 أغسطس 2014

Improvement Measures of Construction Labor Productivity as an Integrated Part of Construction Engineering and Management

Author        : Khaled Mahmoud Mohamed El-Gohary
 Degree        : M.Sc. Structural
     Title: Improvement Measures of Construction Labor Productivity as an Integrated Part of Construction Engineering and Management

 Abstract:
Construction labor productivity is a fundamental piece of information for estimating, budgeting and scheduling a construction project. The current practice of construction labor productivity estimation relies primarily on either published productivity data or an individual’s experience. The impact of the various factors influencing construction labor productivity is also neglected. Also, there is a lack of a systematic approach to measuring and estimating construction labor productivity. An investment for the sole purpose of productivity data collection and modeling is not likely to be successful for a construction company. To make the investment economically feasible, the system must be integrated into the overall information system framework of a company. Therefore, engineering of construction labor productivity is of critical importance to ensure construction company’s profitability and competitiveness. To address this issue, this research presents an Engineering approach, from concept to detail, to identifying and ranking factors influencing construction labor productivity, measuring construction labor productivity, collecting data from proposed company database system, and developing predicting construction labor productivity model considering relevant main factors affecting it. To improve construction labor productivity one must identify and recognize the influence of the main factors affecting it. Therefore, thirty factors affecting construction labor productivity were identified based on the literature and with cooperation of local experts. The factors are classified into three main categories: Management related category, Labor related category, and Industry related category. A core sample size of concerned participants was determined statistically to rank the identified factors based on their relative importance. The number of registered buildings contractors under the top four categories (1,283 contracting companies) within the Egyptian Federation for Construction & Building Contractors (EFCBC) was considered as a population guide to determine the minimum required core sample size (297 contracting companies). A questionnaire form was designed to get the opinions of all participants. The total actual questionnaires number of this study is 489 (430 represent contracting companies and 59 represent clients and consultants firms).

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