Statistical Analysis of the Effectiveness of Management Programs in Improving Construction Labor Productivity on Large Industrial Projects

Shan, Yongwei; Zhai, Dong; Goodrum, Paul M.; Haas, Carl T.; Caldas, Carlos H.

doi:10.1061/(asce)me.1943-5479.0000375

Cited by 27 publications

(14 citation statements)

References 18 publications

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“…Ojo et al, [11], used statistical analysis to determine the correlational strength between the years of procurement of the machines, accessories, spareparts and miscellaneous and the amount spent on the selected decisions, they also find their confidence level, and predicted the values for subsequent procurement using Statistical Analysis Software (SAS). Yongwei et al, [12], identified the effectiveness of a particular set of important management programs in improving construction labor productivity. While Egbe et al, [13], applied multi-linear regression analysis model for predicting soil properties in Calabar South to offer a technical guide and solution in foundation designs problems in the area, Mohammad et al, [14] described the development of a multi-linear regression model to predict the effect of building shape on total energy consumption in two different climate regions (i.e.…”

Section: Fig 1 Labor Productivity Through Methods Studymentioning

confidence: 99%

Multiple Linear Regression Approach for Strategic Decisions on Industrial Productivity under Limited Available Budget

Ojo

Oladapo

Ajayeoba

et al. 2020

AJPAS

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Proper planning and improved productivity is highly desired in industrial settings to optimize the available resources when there is limited resources and to control excessive spending in time of surplus. Productivity is achievable by good levels of Materials, Time and Labor inputs which needs to be measured scientifically in order to maintain long run profit. This study explored processing data and incorporated Statistical Package for Social Science (SPSS) to find the relationship and predict the response of the available budget with the inputs of Materials, Time and Labor using Olam Cocoa Processing Industry, Nigeria as case study. The analyses were done using Multiple Linear Regression Model developed (i.e. ), it was discovered that the inputs of the selected strategic decisions collectively affected the response of the available budget with F-value of 88.48 but each of them cannot reduce or increase the amount of budget except for manpower which has 0.069 or 93.1 % significant effect on the available budget. Also, Coefficient of determination established a strong fitness of the relationship between the strategic decisions and the available budget with the value of 0.974 (or 97.4 %). It is recommended that the project manager should subject his decisions making into scientific measures rather than brainstorming so as to increase productivity in the company.

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Section: Fig 1 Labor Productivity Through Methods Studymentioning

confidence: 99%

Multiple Linear Regression Approach for Strategic Decisions on Industrial Productivity under Limited Available Budget

Ojo

Oladapo

Ajayeoba

et al. 2020

AJPAS

View full text Add to dashboard Cite

show abstract

“…While new technologies and innovations provide construction companies with opportunities to improve CLP, their influence is insignificant if improvement strategies rec-ognized as necessary for controlling and improving CLP are not utilized first [7]. Consequently, project managers implement a wide range of improvement strategies to increase CLP in construction projects [6,7,23,24]. The implemented strategies aim to boost CLP by changing the work system or its components [25].…”

Section: Literature Reviewmentioning

confidence: 99%

“…They then employed multiple regression analyses and a t-test to determine the relationships between the strategies and CLP. Shan et al [7] aimed to identify the effectiveness of seven pre-defined key management programs for improving CLP. Through a series of t-tests, they examined the relationships between management programs and labor productivity.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Thus, the actual impact of various factors on CLP can only be obtained using a systematic approach that models the interrelationships among them [6]. However, most construction companies apply management practices, such as changing working times and switching the workweek, based on their managers' experience and knowledge [7].…”

Section: Introductionmentioning

confidence: 99%

“…However, to effectively improve CLP, the extent to which the implemented improvement strategies affect CLP needs to be known. Widely used techniques for quantifying the impact of various strategies on CLP include statistical methods such as t-test and regression analysis [7,14]. The major limitation of statistical methods is their inability to capture the causal relationships among CLP factors, improvement strategies, and CLP.…”

Section: Introductionmentioning

confidence: 99%

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Prioritizing Construction Labor Productivity Improvement Strategies Using Fuzzy Multi-Criteria Decision Making and Fuzzy Cognitive Maps

2021

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Construction labor productivity (CLP) is affected by various interconnected factors, such as crew motivation and working conditions. Improved CLP can benefit a construction project in many ways, such as a shortened project life cycle and lowering project cost. However, budget, time, and resource restrictions force companies to select and implement only a limited number of CLP improvement strategies. Therefore, a research gap exists regarding methods for supporting the selection of CLP improvement strategies for a given project by quantifying the impact of strategies on CLP with respect to interrelationships among CLP factors. This paper proposes a decision support model that integrates fuzzy multi-criteria decision making with fuzzy cognitive maps to prioritize CLP improvement strategies based on their impact on CLP, causal relationships among CLP factors, and project characteristics. The proposed model was applied to determine CLP improvement strategies for concrete-pouring activities in building projects as an illustrative example. This study contributes to the body of knowledge by providing a systematic approach for selecting appropriate CLP improvement strategies based on interrelationships among the factors affecting CLP and the impact of such strategies on CLP. The results are expected to support construction practitioners with identifying effective improvement strategies to enhance CLP in their projects.

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Construction Management in the Post Covid Era: Towards Improving Construction Productivity in Developing Countries - Example from Nigeria

Ibrahim

Nawaz

et al. 2023

Lecture Notes in Operations Research

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Statistical Analysis of the Effectiveness of Management Programs in Improving Construction Labor Productivity on Large Industrial Projects

Cited by 27 publications

References 18 publications

Multiple Linear Regression Approach for Strategic Decisions on Industrial Productivity under Limited Available Budget

Multiple Linear Regression Approach for Strategic Decisions on Industrial Productivity under Limited Available Budget

Prioritizing Construction Labor Productivity Improvement Strategies Using Fuzzy Multi-Criteria Decision Making and Fuzzy Cognitive Maps

Construction Management in the Post Covid Era: Towards Improving Construction Productivity in Developing Countries - Example from Nigeria

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