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Using ANP to Evaluate Factors Affecting Construction Project's Performance
The Analytic Network Process (ANP) approach was applied to evaluate the overall project performance. The interdependencies between the performance factors in sanitation infrastructure projects have been modeled, and their cumulative influences were simulated and quantified. This model focuses on the planning and construction phase of projects under unit price contracts and is intended for use by owners, supervision consulting firms (Owner’s representative) and/or contractors as well. The proposed model assist both owners, consultants and contractors in controlling projects during the different phases and can also be used as a basis for simulation of various managerial scenarios/interventions to explore the best solution to correct the negative effect of poor performance. The proposed model is generic and may be applicable to almost any project in the construction industry, since all projects, regardless of size or type, follow a broadly similar pattern of development. This model focuses on the two phases; planning phase and construction phase of a project and is intended for implementation by both owners and contractors. Although the proposed evaluation model reflects to a great extent the contractors’ preferences, most contractors perceive performance according to project objectives and contractual aspects. The model also reflects to some extent the owner’s and/or its consultant’s interventions within the different project cycle. Therefore, the objective of this research is not to standardize the priorities of performance factors, but rather to establish a systematic framework for consistent and quantitative evaluation process for performance of planning and construction of sanitation infrastructure projects in Egypt that take into consideration the interdependencies between multi dimensional performance factors.
Using ANP to Evaluate Factors Affecting Construction Project's Performance
The Analytic Network Process (ANP) approach was applied to evaluate the overall project performance. The interdependencies between the performance factors in sanitation infrastructure projects have been modeled, and their cumulative influences were simulated and quantified. This model focuses on the planning and construction phase of projects under unit price contracts and is intended for use by owners, supervision consulting firms (Owner’s representative) and/or contractors as well. The proposed model assist both owners, consultants and contractors in controlling projects during the different phases and can also be used as a basis for simulation of various managerial scenarios/interventions to explore the best solution to correct the negative effect of poor performance. The proposed model is generic and may be applicable to almost any project in the construction industry, since all projects, regardless of size or type, follow a broadly similar pattern of development. This model focuses on the two phases; planning phase and construction phase of a project and is intended for implementation by both owners and contractors. Although the proposed evaluation model reflects to a great extent the contractors’ preferences, most contractors perceive performance according to project objectives and contractual aspects. The model also reflects to some extent the owner’s and/or its consultant’s interventions within the different project cycle. Therefore, the objective of this research is not to standardize the priorities of performance factors, but rather to establish a systematic framework for consistent and quantitative evaluation process for performance of planning and construction of sanitation infrastructure projects in Egypt that take into consideration the interdependencies between multi dimensional performance factors.
Using ANP to Evaluate Factors Affecting Construction Project's Performance
Shided, M .S (author) / Abdel Rashid, I (author) / EL Monayeri, O.D (author) / ELSayad, M. A (author) / Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
2021-01-30
oai:zenodo.org:5833543
International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10(3) 120-124
Article (Journal)
Electronic Resource
English
DDC:
690
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