Assessment of Construction Project Contractor Selection Success Factors considering Their Interconnections

Naji, Khalid Kamal; Gunduz, Murat; Falamarzi, Mohammad

doi:10.1007/s12205-022-1377-6

Cited by 10 publications

(9 citation statements)

References 56 publications

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“…Additionally, ANP is advised over other methods like full consistency method, best-worst method and level-based weighted assessment in situations that necessitate structured and interdependency-based modeling of complex problems [82,83]. To this end, FANP is utilized to accommodate interdependencies and influences between PPP selection criteria [84][85][86][87]. Furthermore, FANP was successfully and broadly implemented in diverse engineering-related applications.…”

Section: Methodsmentioning

confidence: 99%

An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects

Mohammed Abdelkader,

Zayed,

El Fathali

et al. 2023

Mathematics

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Public–private partnership (PPP) infrastructure projects have attracted attention over the past few years. In this regard, the selection of private partners is an integral decision to ensure its success. The selection process needs to identify, scrutinize, and pre-qualify potential private partners that sustain the greatest potential in delivering the designated public–private partnership projects. To this end, this research paper proposes an integrated multi-criteria decision-making (MCDM) model for the purpose of selection of the best private partners in PPP projects. The developed model (HYBD_MCDM) is conceptualized based on two tiers of multi-criteria decision making. In the first tier, the fuzzy analytical network process (FANP) is exploited to scrutinize the relative importance of the priorities of the selection criteria of private partners. In this respect, the PPP selection criteria are categorized as safety, environmental, technical, financial, political policy, and managerial. In the second tier, a set of seven multi-criteria decision-making (MCDM) algorithms is leveraged to determine the best private partners to deliver PPP projects. These algorithms comprise the combined compromise solution (CoCoSo), simple weighted sum product (WISP), measurement alternatives and ranking according to compromise solution (MARCOS), combinative distance-based assessment (CODAS), weighted aggregate sum product assessment (WASPAS), technique for order of preference by similarity to ideal solution (TOPSIS), and FANP. Thereafter, the Copeland algorithm is deployed to amalgamate the obtained rankings from the seven MCDM algorithms. Four real-world case studies are analyzed to test the implementation and applicability of the developed integrated model. The results indicate that varying levels of importance were exhibited among the managerial, political, and safety and environmental criteria based on the nature of the infrastructure projects. Additionally, the financial and technical criteria were appended as the most important criteria across the different infrastructure projects. It can be argued that the developed model can guide executives of governments to appraise their partner’s ability to achieve their strategic objectives. It also sheds light on prospective private partners’ strengths, weaknesses, and capacities in an attempt to neutralize threats and exploit opportunities offered by today’s construction business market.

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Section: Methodsmentioning

confidence: 99%

An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects

Mohammed Abdelkader,

Zayed,

El Fathali

et al. 2023

Mathematics

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“…The goal of the study by [27] was to identify, assess, and rank the most relevant aspects in tender appraisal, taking into account their interconnection. One paper [25] is a piece of applied research presenting the development of a new, cost-effective procurement strategy for public works geared at the EU's legal framework.…”

Section: Literature Reviewmentioning

confidence: 99%

Procedures for Awarding Work Contracts in Europe

Plebankiewicz

2024

Buildings

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Choosing a contractor with the best competencies is particularly important, especially in construction contracts. Using data available on the opentender.eu platform, information for 2022 was compiled regarding the size of the public procurement market and the procedures used in public procurement for construction works in European countries. The most common procedure used under the European Union Directive for awarding work contracts, in most countries, is the open procedure. The largest share of this procedure, amounting to over 95% of all proceedings, is in the countries Croatia, Cyprus, Greece, Latvia, and Poland. On the other hand, there are countries where the procedures proposed in the Directive are used to a small extent. In order to distinguish groups of European Union countries characterized by a similar structure of public procurement for work, the joining (tree-clustering) algorithm was used. This will provide insights into the strategies of countries in this area. Knowledge of the advantages and disadvantages of the various procedures may improve the public procurement system.

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“…To rank and prioritize lean principles and sub-principles based on their significance, the Relative Importance Index (RII) was employed as recommended by Naji et al [54]. The RII is recognized for its utility in ranking factors based on expert perceptions, as highlighted by Baig et al [55].…”

Section: H2: Lc Practices Enhance Project Performance By Mitigating C...mentioning

confidence: 99%

Unveiling Effectiveness of Lean Construction Practices: A Comprehensive Study through Surveys and Case Studies

Aslam,

Baffoe-Twum,

Ahmed

et al. 2024

Civ Eng J

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Construction projects frequently encounter challenges such as stagnant productivity, excessive waste, cost overruns, and delays, contributing to sustainability issues. In response to these issues, Lean Construction (LC) has emerged as a methodology aimed at eradicating inefficiencies and wasteful practices. However, the construction industry has been slow to embrace LC, primarily due to a lack of comprehensive evaluations regarding its real-world effectiveness. This study seeks to thoroughly assess the effectiveness of LC when implemented in construction projects in Pakistan. The research involved conducting a survey among experts in the construction industry, utilizing a comprehensive questionnaire to evaluate the extent of LC adoption and its impact on construction project performance. The collected data underwent rigorous statistical analysis to ascertain the influence of LC practices on project outcomes. To validate the survey results, the study selected five case study projects for in-depth analysis. These case studies assessed how well the projects adhered to LC principles and examined the resulting effects on project delays, cost overruns, quality issues, rework, and health-related concerns. The findings consistently confirmed that a higher level of adherence to LC principles led to significant reductions in project delays, cost overruns, quality issues, and health-related problems. This analysis strongly supports the notion that a more extensive adoption of LC practices results in substantial improvements in project performance. By presenting these compelling results, this study offers valuable insights to the construction industry, providing a clearer path for the effective integration of LC practices. Doi: 10.28991/CEJ-2024-010-04-09 Full Text: PDF

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Assessment of Construction Project Contractor Selection Success Factors considering Their Interconnections

Cited by 10 publications

References 56 publications

An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects

An Integrated Multi-Criteria Decision Making Model for the Assessment of Public Private Partnerships in Transportation Projects

Procedures for Awarding Work Contracts in Europe

Unveiling Effectiveness of Lean Construction Practices: A Comprehensive Study through Surveys and Case Studies

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