RESOURCE-DRIVEN OPTIMIZATION MODEL FOR CONSTRUCTION MULTI-PROJECT SCHEDULING PROBLEMS

碩士 === 國立雲林科技大學 === 營建工程系碩士班 === 93 === According to the research by Payne (1995), an investigation through small to mid-size construction contractors showed that 84% of construction contractors execute their projects in a multi-project environment. In a multi-project environment, scheduling proble...

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Bibliographic Details
Main Authors: Yu-Yuan Chieng, 鄭有原
Other Authors: Shu-Shun Liu
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/99461543338884765263
Description
Summary:碩士 === 國立雲林科技大學 === 營建工程系碩士班 === 93 === According to the research by Payne (1995), an investigation through small to mid-size construction contractors showed that 84% of construction contractors execute their projects in a multi-project environment. In a multi-project environment, scheduling problems with resource constraints are much more complicated than those in a single project. One of the most important factors that influence multi-project scheduling problems is resource allocation policy, depending on the types of resources, which can be defined by the way of resource acquisition and sharing behavior. This paper discusses resource allocation mechanism for construction multi-project scheduling issues, and then presents an optimization-based model to resolve resource allocation problems. This research developed a CP-based (Constraint-Programming) model, which is capable of handling different optimization objectives such as minimizing total cost, overall project duration, subject to resource assignment combinations for each activity. Based on the research results, the influence of different types of resource quantity on multi-project duration is discussed. Moreover, resource competitive behavior among all projects is recognized. It concludes that the effective increment of critical resources can reduce overall project duration. The major goal of this research is to find the relation among duration-cost-resource in a multi-project environment, and provide systematic information for construction parties when making resource allocation decisions.