Significance ranking of parameters impacting construction labour productivity

Moselhi, Osama; Khan, Zafar U.

doi:10.1108/14714171211244541

Cited by 59 publications

(51 citation statements)

References 24 publications

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“…It is substantially important to understand the nature and extent to which individual parameters affect productivity (Moselhi & Khan, 2012). Many definitions of productivity exist depending on the purpose of the measurements.…”

Section: Labour Productivitymentioning

confidence: 99%

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Applying total interpretive structural modeling to study factors affecting construction labour productivity

Sandbhor

Botre

2014

CEB

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Construction sector has always been dependent on manpower with most of the activities being labour intensive. Project productivity, thus, depends directly on productivity of labour. Enhancing labour productivity would contribute to overall success of the project. In order to improve labour productivity, associated factors need due consideration. Total interpretive structural modeling (TISM) is implemented as a methodology for identifying and summarizing relationships among factors which affect productivity of labour. 10 most significant factors negatively affecting construction labour productivity are considered for developing model that establishes interpretive relationship among these factors. The result shows that material shortages, tool/equipment shortages, drawing & specification alterations during execution and working seven days per week without holiday have strong driving power and weak dependence power and are at the lowest level in hierarchy in the TISM model. Lack of labour surveillance and lack of labour experience have strong driving and strong dependence power. Top management of the project must stress on variables having high driving power so as to facilitate improvement in the overall productivity of construction site.

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Section: Labour Productivitymentioning

confidence: 99%

“…Some may not only have long term but may also have ripple effect (Moselhi & Khan., 2012). They can be broadly classified as (Shehata & El-Gohary, 2011) industry related factors, management related factors, and labour related factors.…”

Section: Factor Identificationmentioning

confidence: 99%

Applying total interpretive structural modeling to study factors affecting construction labour productivity

Sandbhor

Botre

2014

CEB

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“…In spite of the extensive research on construction productivity, there is no standard definition for its estimation (Moselhi and Khan, 2012). Therefore, this research defines construction productivity as the ratio of work-hours per output (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Different methods may suggest different sets of efficiency multipliers for the same operation each of which may take values from a specific range of expected values. The selection of values suggested by manufacturers is somewhat vague, as explicit guidelines for the selection of these values are not available (Jang et al, 2011;Moselhi and Khan, 2012) and, furthermore, may lead to unrealistically optimistic results (Lambropoulos et al, 1996). Also, the estimators cannot verify the accuracy of the efficient multipliers selected for the particular operations under study.…”

Section: Introductionmentioning

confidence: 99%

Efficiency multipliers for construction productivity: A Comparative Evaluation

Panas

Pantouvakis

2015

OTMCJ

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Efficiency multipliers for construction productivity are often estimated on an ad-hoc basis, depending on the project characteristics. The purpose of the study is to define a structured approach allowing the determination of the appropriate empirical productivity relations and efficiency multipliers along with their respective values. The proposed method breaks down a given construction activity into distinct operational scenarios which represent unique combinations of key productivity variables, thus providing a perspective on construction productivity for both labor-intensive and equipment-intensive operations. In addition, this is the first study to explicitly describe the process and the theoretical prerequisites for the statistically valid derivation and comparative evaluation of new efficiency multipliers for a given construction activity. A case study of heavy-duty concrete paving activities over an eight month period is utilized as a testbed for the derivation of new efficiency multipliers. An excavation scenario with the use of published estimation formulae is also presented to demonstrate the approach's capability to corroborate the values of known efficiency multipliers. The results indicate that the proposed approach improves the accuracy of estimated multipliers stemming from past productivity studies and increases the estimation precision for the derivation of new multipliers related to future construction operations. INTRODUCTIONConstruction productivity is one of the main drivers for completing projects within time and cost limitations (Moselhi and Khan, 2010) and as such its appropriate estimation is quite important for preparing construction schedules and budgets (Song and AbouRizk, 2008). To determine construction productivity one needs to estimate an average production rate (Kiziltas and Akinci, 2009;Song and AbouRizk 2008) and then adjust it to the specific operational conditions of the job, such as temperature, overall site organization, crew skill, on the job learning for repetitive work (Panas and Pantouvakis, 2014) etc by multiplying it by a set of "efficiency coefficients" or "efficieny multipliers" (AbouRizk et al., 2001).The average productivity is estimated using published formulae proposed either by manufacturers such as Caterpillar (Caterpillar, 2014) and Komatsu (Komatsu, 2009) or by widely acknowledged and accepted institutions such as the BML (1983). It should be noted that in some cases and for certain construction operations there are no published formulae in the literature (Panas and Pantouvakis, 2010). In these situations, one should determine the procedural framework allowing the incorporation of an initially unknown but defined later, during the process, set of operational factors (Pantouvakis and Panas, 2013).The average productivity is then multiplied by appropriate "efficiency multipliers" whose determination, however, is not trivial as the relationship between the affecting factors and productivity is not well understood (O'Connor and Huh 2006). Different methods may ...

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“…El-Rayes and Moselhi [6] developed a decision support system for quantifying the impact of rainfall on the productivity and duration of highway construction operations. Moselhi and Zafar [7] identified, analyzed, and ranked the parameters that affect job-site daily labor productivity to help job-site staff in planning and comparing their daily targets and to finetune their resource allocations according to the daily situation. Apipattanavis et.al.…”

Section: Introductionmentioning

confidence: 99%

Time-Profit Trade-Off of Construction Projects Under Extreme Weather Conditions

Senouci¹,

Mubarak²

2014

Journal of Construction Engineering and Project Management

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Maximizing the profitability and minimizing the duration of construction projects in extreme weather regions is a challenging objective that is essential for project success. An optimization model is presented herein for the time-profit trade-off analysis of construction projects under extreme weather conditions. The model generates optimal/near optimal schedules that maximize profit and minimize the duration of construction projects in extreme weather regions. The computations in the model are organized into: (1) a scheduling module that develops practical schedules for construction projects, (2) a profit module that computes project costs (direct, indirect, and total) and project profit, and (3) a multi-objective module that determines optimal/near optimal trade-offs between project duration and profit. One example is used to show the impact of extreme weather on construction time and profit. Another example is used to show the model's ability to generate optimal trade-offs between the time and profit of construction projects under extreme weather conditions.

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Significance ranking of parameters impacting construction labour productivity

Cited by 59 publications

References 24 publications

Applying total interpretive structural modeling to study factors affecting construction labour productivity

Applying total interpretive structural modeling to study factors affecting construction labour productivity

Efficiency multipliers for construction productivity: A Comparative Evaluation

Time-Profit Trade-Off of Construction Projects Under Extreme Weather Conditions

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