Loss prevention in turnaround maintenance projects by selecting contractors based on safety criteria using the analytic hierarchy process (AHP)

Hadidi, Laith A.; Khater, Mohammad A.

doi:10.1016/j.jlp.2015.01.028

Cited by 52 publications

(41 citation statements)

References 24 publications

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“…The last step in the AHP analysis was to calculate a Consistency Ratio (CR) to measure how consistent the judgments were in regard to large samples of purely random judgments. If the CR was less than 0.1, the consistency level was acceptable (Hadidi & Khater, 2015). Appendix A shows the consistency analysis.…”

Section: End Ofmentioning

confidence: 99%

Integration of Innovation Through Analytical Hierarchy Process (Ahp) in Project Management and Planning

Gunduz

Alfar

2019

Technological and Economic Development of Economy

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This paper examines the concept of innovation management in the construction industry by studying the major components of the innovation process such as the major drivers of innovation, barriers and obstacles that prevent innovation, the enablers that motivate innovation, the practices of innovation, and the benefits of innovation both at project and company level. This paper is based on the data collected by means of structured questionnaires and analyzed throughsurvey analysis. The survey, which consisted of 46 factors involved in the innovation process, was distributed to 121 different participants, and the collected data were analyzed by the relative importance index (RII), as well as the analytical hierarchy process (AHP). The RII rankings feed the AHP analysis as the first step to rank the factors. Later, the factors are ranked according to the AHP analysis. Based on these rankings, recommendations are made to contractors, consultants, project management professionals, owners and suppliers.

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Section: End Ofmentioning

confidence: 99%

Integration of Innovation Through Analytical Hierarchy Process (Ahp) in Project Management and Planning

Gunduz

Alfar

2019

Technological and Economic Development of Economy

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“…It measures how consistent the decisions have been made relative to large samples of purely random decisions. The consistency ratio needs to be lower than 0.1, otherwise, the matrix for pairwise comparison needs to be changed (Hadidi & Khater, 2015;Doloi, 2008). AHP organize the decision problem into multi-level hierarchical structures.…”

Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

Assessment of Change Order Impact Factors on Construction Project Performance Using Analytic Hierarchy Process (Ahp)

Gunduz

Mohammad

2019

Technological and Economic Development of Economy

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Complexity is very high in construction project and constrained by money and time. Change orders are commonly required during the execution of construction projects. They may increase, omit or adjust tasks in the project. Change orders affect the performance of construction job because they disturb current jobs and affect their schedule. The motive behind this study is to outline a complete assessment on change orders impacts. A review on past studies was performed to capture change order factors that affect project performance. Literature review and interviews with the industry professionals were used to finalize the factors into 16 critical factors. A questionnaire was distributed to industry specialists to capture the effect of these 16 factors on project performance. Complete answers of 102 surveys were received. Analytic Hierarchy Process (AHP) and Relative Important Index (RII) were utilized to analyze the responses. This study differs from other past studies by studying change order impact factors on three different change order types namely additional, omission and substitutional works. The most important change orders impacts factors as per the analysis outcomes are increased project management efforts, increased project re-planning, loss of efficiency due to work interruption, increased reworks/demolition works and delay of payments. This paper would help construction professionals to recognize change order impacts and would assist them in taking proactive actions to limit these impacts.

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“…In seeking to select the qualified, experienced, and conscientious contractor for construction projects, many researchers have proposed multi-criteria decision-making (MCDM) approaches for solving contractor selection problems. AHP approach (Martin, Koyloss, & Welch, 2018;Assaf, Hassanain, Hadidi, & Amman, 2017;Chiang, Yu, & Luarn, 2017;Hadidi & Khater, 2015;Fong & Choi, 2000) was presented for contractor, sub-contractor and supplier selection. Some researchers have suggested AHP method integrated with other multi-criteria decision-making approaches: AHP and ANP (Sarkis, Meade, & Presley, 2012), AHP and PROMETHEE (Polat, 2016), AHP and Fuzzy AHP technique (Plebankiewicz & Kubek, 2016), AHP and Zero one integer linear programming (Rajaprasad, 2018), and AHP and Value Engineering Technique (Aboelmagd, 2018).…”

Section: Contractor Selection Approachesmentioning

confidence: 99%

“…The most common criteria presented in the studies are financial soundness (Fong & Choi, 2000;Polat, 2016;Gao, 2018;(Vahdami, Meysam Mousavi, Hashemi, Mousakhami, & Tavakkoli-Moghaddam, 2013), technical capability (Niento-Morote & Ruz-Vila, 2012;Zavadskas et al, 2015;Zhang et al, 2018;Vahdami et al, 2013), management ability (Niento-Morote & Ruz-Vila, 2012; Chiang et al, 2017;Kaklauskas et al, 2006), health and safety (Chiang et al, 2017;Taylan et al, 2018;Gao, 2018;Holt, 1998) and reputation (Kaklauskas et al, 2006;Keung & Yiu, 2015;Enshassi, Mohamed, & Modough, 2013;Darvish, Yasaei, & Saeedi, 2009). Furthermore, along these criteria was proposed additional criteria, namely, previous performance (Hadidi & Khater, 2015;Cheng & Li, 2004;Ulubeyli & Kazaz, 2016), quality (Martin et al, 2018;Marzouk, El Kherbawy, & Khalifa, 2013;Juan, Perng, Castro-Lacouture, & Lu, 2009); and experience (Yang, H. Wang, W. Wang, & Ma, 2016;Topcu, 2004).…”

Section: Criteria Discussedmentioning

confidence: 99%

Criteria Evaluation for Contractor Selection in Cultural Heritage Projects Using Multiple Criteria Approach

Morkūnaitė

Podvezko

2019

17th International Colloquium „Sustainable Decisions in Built Environment

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The low bid is the most common applicable method in the contractor selection process, considering by only one dominant criterion. However, the lowest price criterion not allows selecting qualified, responsible, sophisticated, and knowledgeable contractor for cultural heritage projects. Moreover, the improper contractor selection may induce claims, litigation, and poor quality work, increased costs for project performance or management. Selection of appropriate contractor is very important for the success and excellent accomplishment of cultural heritage projects. This study presents criteria evaluation for contractor selection in cultural heritage projects. This paper provides reviews of contractor selection and proposed criteria evaluation, and determines the criteria of culture heritage contractor selection. This study applies the multiple criteria approach: AHP, PROMETHEE and EDAS approaches.

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Loss prevention in turnaround maintenance projects by selecting contractors based on safety criteria using the analytic hierarchy process (AHP)

Cited by 52 publications

References 24 publications

Integration of Innovation Through Analytical Hierarchy Process (Ahp) in Project Management and Planning

Integration of Innovation Through Analytical Hierarchy Process (Ahp) in Project Management and Planning

Assessment of Change Order Impact Factors on Construction Project Performance Using Analytic Hierarchy Process (Ahp)

Criteria Evaluation for Contractor Selection in Cultural Heritage Projects Using Multiple Criteria Approach

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