Performing Time-Cost Trade-Off Analysis via FMGA-Simulation Mechanism

碩士 === 朝陽科技大學 === 營建工程系碩士班 === 95 === Construction project is composed of a network of activities. To perform the activities of a project, construction planners usually can select construction methods or technologies and associated resources including crew sizes and equipment. Different construction...

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Bibliographic Details
Main Authors: Yi-ting Cheng, 鄭衣婷
Other Authors: Tao-ming Cheng
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/10006555687105047258
Description
Summary:碩士 === 朝陽科技大學 === 營建工程系碩士班 === 95 === Construction project is composed of a network of activities. To perform the activities of a project, construction planners usually can select construction methods or technologies and associated resources including crew sizes and equipment. Different construction methods and related resource combination for performing an activity create various durations and costs for that particular activity and together for a project. Hence, planners have to face the decisions of finding the most cost effective way to complete a project within the desirable duration for a project. These decisions are usually made based on the so-called time-cost trade-off (TCT) analysis. The purpose of such analysis is to reduce the project cost but not to impact the project duration. The results of TCT analysis provide a TCT curve that the associated duration and cost for each resource combination can be observed and ultimately the balance of time and cost can be optimized. This research is aiming at presenting a mechanism that integrates fast messy genetic algorithms (FMGA) and discrete event simulation technique to solve TCT problems. The construction operations are modeled by discrete event simulation technique to obtain the duration and cost for a project. Then, the impact on time and cost for possible resource combinations are verified and screened by FMGA. Examples show that the proposed FMGA-simulation mechanism can efficiently locate the solutions for TCT analysis.