Modeling construction labour productivity using fuzzy logic and exploring the use of fuzzy hybrid techniques

Fayek, Aminah Robinson; Tsehayae, Abraham Assefa

doi:10.1109/nafips.2012.6291023

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…Studies show that it constitutes 20-50% of the overall project expenses (Kaming et al, 1998), hence the overall costs of the project can be significantly reduced by enhancing employment capacity (Kazaz et al, 2008). The significance of construction labor productivity (CLP) in ensuring the accomplishment of construction projects has been described previously in several studies (Sweis et al, 2009;Fayek & Tsehayae, 2012;Hamza et al, 2022). CLP has been identified as a fundamental and effective indicator of efficacy in the construction industry which directly affected the competency of Small and Medium Enterprises (SMEs).…”

Section: Literature Reviewmentioning

confidence: 99%

The Effects of Foreign Labor on Labor Productivity in Construction Industries

Mohd Nor,

Subramaniam,

Sahudin

2023

IMBR

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The focus of this study is the demand for foreign labor in the construction industry. While labor productivity contributes significantly to the economic growth of the country but the trend has decreased over recent years. Hence, this paper aims to identify whether the increase in the labor force or other factor inputs contributes significantly to the labor capacity of construction projects in Malaysia. Results show the relationship between labor and other factors related to employment productivity in the construction industry of Malaysia from the year of 1986 to 2020. Factor inputs consist of variables such as capital, local labor, and foreign labor. The research objective is to identify the effects of labor force and other factor inputs on labor productivity. This study employs the Cobb-Douglas production function. The findings show that there is a significant relationship whereby the financial assets have a significant relationship, whilst the local and foreign workforce has a negative relationship in terms of their impact on labor productivity. These findings provide some scientific evidence for improving the project performance of the construction industry in Malaysia. It will be useful in identifying which factor inputs have a huge impact on construction labor productivity.

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Section: Literature Reviewmentioning

confidence: 99%

The Effects of Foreign Labor on Labor Productivity in Construction Industries

Mohd Nor,

Subramaniam,

Sahudin

2023

IMBR

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“…The hierarchical model allows us to work with fewer rules. The sub-model for this study will be built using only 7-8 factors [47]. With a usable data set of 75 responses from the survey, the hierarchical system allows us to develop the prediction model.…”

Section: Hierarchical Fuzzy Expert Systemmentioning

confidence: 99%

Hierarchical Fuzzy Expert System for Organizational Performance Assessment in the Construction Industry

Rathore¹,

Elwakil

2020

Algorithms

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Organizations have been trying to increase their efficiency and improve their performance in order to achieve their goals. Various factors determine organizational success. The construction industry is a project-based industry which is exceptionally dynamic. The need to identify the weak points and search for solutions to improve the performance of the construction organization is extremely crucial. The industry has always focused on the measure of project success. Previous research works have primarily focused on the measurement of financial or tangible assets. However, there is a lack of understanding of qualitative factors and their combined effect on organizational performance. Therefore, the objectives of this paper are to identify and study the success factors—both financial and non-financial factors. The potential success factors are collected from the literature review and construction experts through a questionnaire to evaluate their effect on organizational performance. The collected data have been analyzed using the Analytic Hierarchy Process (AHP) to shortlist the critical success factors. Thereafter, the Hierarchical Fuzzy Expert System has been used to build a prediction model based on the selected factors. The developed research/model benefits both researchers and practitioners to predict accurate company performance.

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“…The SD part contained the factors influencing productivity, while their effects were quantified with the help of the FL component. Robinson Fayek and Tsehayae [40] recommended the application of hybrid FL approaches for the same reason. However, it was noted that the nature of FL limited the number of influencing factors; therefore, sub-factors were required to be introduced.…”

Section: Use Of Simulation For Productivity Studiesmentioning

confidence: 99%

Input for Hybrid Simulation Modelling Construction Operations

Bokor¹,

Perez²,

Gledson³

et al. 2019

Proceedings of the Creative Construction Conference 2019

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Good pre-construction planning efforts are a vital part of the effective management and delivery of construction projects. In order to prepare more accurate schedules and cost calculations, realistic productivity rates to improve precision are needed. The use of simulation for modelling the elements of construction processes can assist with this aspiration. The application of hybrid simulation approaches is particularly appropriate as they can capture complicated behaviour, uncertainties, and dependencies. This paper discusses the use of one such approach combining discrete-event simulation (DES) and system dynamics (SD) to determine more accurate productivity rates. The DES component models the operations with the workflow of the tasks performed. Its input consists of the task elements with their durations and resource information. The factors that influence the productivity rates are taken into account with the help of the SD component. Input for this part of the model includes the factors as well as considerations of their interrelationships and effects. In this work, a case study of such input data for masonry worksfor brick-and blockworkis presented. It shows the input data and its integration in the DES-SD approach for modellers to determine more realistic productivity rates.

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Modeling construction labour productivity using fuzzy logic and exploring the use of fuzzy hybrid techniques

Cited by 8 publications

References 14 publications

The Effects of Foreign Labor on Labor Productivity in Construction Industries

The Effects of Foreign Labor on Labor Productivity in Construction Industries

Hierarchical Fuzzy Expert System for Organizational Performance Assessment in the Construction Industry

Input for Hybrid Simulation Modelling Construction Operations

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