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Assessment of Responsibilities of Project Teams for Owner Managing Contractor Tasks-A Fuzzy Consensus Approach

Elbarkouky, Mohamed / Fayek, Aminah Robinson

This paper proposes a fuzzy consensus approach that helps project teams in resolving conflicting responsibilities on their shared tasks in the Owner Managing Contractor (OMC) project delivery system. A list of shared OMC tasks is introduced to experts. Experts assign the responsibilities of project team members for every task using fuzzy preference relations on pairs of responsibility alternatives. Consensus degrees are computed for the preference values that are selected by the largest number of experts for the pairs of responsibility alternatives. The responsibility for each task is determined based on the pair of responsibility alternatives that receives the highest preference value. The approach is illustrated by a numerical example. This approach is relevant to the construction industry as it can be used to determine the responsibilities of project teams in the OMC or any construction project delivery system to ensure alignment between project teams prior to project execution.

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Assessment of Responsibilities of Project Teams for Owner Managing Contractor Tasks-A Fuzzy Consensus Approach

Elbarkouky, Mohamed / Fayek, Aminah Robinson

This paper proposes a fuzzy consensus approach that helps project teams in resolving conflicting responsibilities on their shared tasks in the Owner Managing Contractor (OMC) project delivery system. A list of shared OMC tasks is introduced to experts. Experts assign the responsibilities of project team members for every task using fuzzy preference relations on pairs of responsibility alternatives. Consensus degrees are computed for the preference values that are selected by the largest number of experts for the pairs of responsibility alternatives. The responsibility for each task is determined based on the pair of responsibility alternatives that receives the highest preference value. The approach is illustrated by a numerical example. This approach is relevant to the construction industry as it can be used to determine the responsibilities of project teams in the OMC or any construction project delivery system to ensure alignment between project teams prior to project execution.

Assessment of Responsibilities of Project Teams for Owner Managing Contractor Tasks-A Fuzzy Consensus Approach

Elbarkouky, Mohamed / Fayek, Aminah Robinson

This paper proposes a fuzzy consensus approach that helps project teams in resolving conflicting responsibilities on their shared tasks in the Owner Managing Contractor (OMC) project delivery system. A list of shared OMC tasks is introduced to experts. Experts assign the responsibilities of project team members for every task using fuzzy preference relations on pairs of responsibility alternatives. Consensus degrees are computed for the preference values that are selected by the largest number of experts for the pairs of responsibility alternatives. The responsibility for each task is determined based on the pair of responsibility alternatives that receives the highest preference value. The approach is illustrated by a numerical example. This approach is relevant to the construction industry as it can be used to determine the responsibilities of project teams in the OMC or any construction project delivery system to ensure alignment between project teams prior to project execution.

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Title:

Assessment of Responsibilities of Project Teams for Owner Managing Contractor Tasks-A Fuzzy Consensus Approach

Contributors:

Elbarkouky, Mohamed (author) / Fayek, Aminah Robinson (author)

Conference:

Construction Research Congress 2010 ; 2010 ; Banff, Alberta, Canada

Published in:

Construction Research Congress 2010 ; 849-858

Publication date:

2010-05-04

ISBN:

DOI:

https://doi.org/10.1061/41109(373)85

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

Keywords:

Technology , Assessment , Innovation , Contractors , Fuzzy sets , Construction industry , Project management , Owners , Construction management

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