Decision-making support model for reusable construction materials in multiple project management

Author:

Han Juyeoun12,Kim Kyungrai12,Chin Sangyoon12,Shin Dongwoo12

Affiliation:

1. Department of Architecture, Ajou University, Suwon 443-749, South Korea.

2. Department of Architectural Engineering, Sungkyunkwan University, Suwon 440-746, South Korea.

Abstract

Although reusable materials in a construction project need to be specifically managed by the head office of the construction company for proper retrieval and reuse, they are not efficiently managed. In many cases, construction companies treat reusable materials no differently from non-reusable materials. To manage reusable materials for effective and efficient procurement, the current procurement system needs to be improved based on the records of usage from multiple projects monitored and managed by the head office of the construction company. The objective of this paper is to discern and analyze the problems of the procurement process of reusable materials for current multiple projects by following case studies of three construction companies against this background. Based on the analysis, this paper emphasizes the need to implement systems for reusable materials procurement requests, outgoing materials quantity forecasts, and economic analysis for vehicle distribution, as well as the need to expand applicable uses of a resource pool. A model is also proposed to support the decision-making process in the procurement of reusable materials.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Reference8 articles.

1. Barrie, D.S., and Paulson, B.D. 2000. Professional construction management. McGraw-Hill Company.

2. The resource allocation syndrome: the prime challenge of multi-project management?

3. A simulation model for multi-project resource allocation

4. Han, J.Y. 2005. A decision support model for procurement of reusable materials in multiple project management. Ph.D. thesis, Ajou University, Suwon, South Korea. pp. 26–27.

5. Resource allocation heuristic in construction simulation

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