Digital library of construction informatics and information technology in civil engineering and construction
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Paper: w78-2008-3-02
| Paper title: | MODELLING MULTI-CRITERIA DECISION ANALYSIS FOR BENCHMARKING MANAGEMENT PRACTICES IN PROJECT MANAGEMENT |
| Authors: | Hemanta DOLOI & Xiao-Hua JIN |
| Summary: | The link between management practices and worker’s motivations impacting construction productivity is being considered as significant among the research community. This research aimed to identify and analyse the underlying attributes impacting construction productivity from the site management perspective. This research presents a framework designed to analyse and quantify the relative relevance of different drivers in the determination of productivity levels and the degree of effectiveness of potential opportunities for improving performance of overall projects. Owing to the complexity of construction projects and underlying conflicting drivers influencing higher worker’s productivity, the Analytical Hierarchy Process (AHP) is employed to deal with interdependent relationships within a multi-criteria decision-making model. In the analytical approach, the large unstructured decision parameters are identified first and then are broken down into the manageable and measurable components using a top down hierarchical structure. This paper demonstrates an example to illustrate how to empirically analyse and prioritise a set of influencing parameters as selection criteria in devising appropriate management practices to ensure higher productivity vis-a_-vis optimum performance of projects. |
| Type: | normal paper |
| Year of publication: | 2008 |
| Keywords: | Management practices, workers productivity, AHP, construction |
| Series: | w78:2008 |
| ISSN: | 2706-6568 |
| Download paper: | /pdfs/w78-2008-3-02.pdf |
| Citation: | Hemanta DOLOI & Xiao-Hua JIN (2008). MODELLING MULTI-CRITERIA DECISION ANALYSIS FOR BENCHMARKING MANAGEMENT PRACTICES IN PROJECT MANAGEMENT. CIB W78 2008 - Improving the management of construction projects through IT adoption (ISSN: 2706-6568), http://itc.scix.net/paper/w78-2008-3-02 |
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