关键路径法
计算机科学
地铁列车时刻表
经济短缺
模糊逻辑
运筹学
调度(生产过程)
数学优化
软件
项目管理
工业工程
可靠性工程
工程类
系统工程
数学
人工智能
哲学
操作系统
程序设计语言
语言学
政府(语言学)
作者
Daniel Castro‐Lacouture,Gürsel A. Süer,Julian Gonzalez-Joaqui,J. K. Yates
出处
期刊:Journal of the Construction Division and Management
[American Society of Civil Engineers]
日期:2009-09-16
卷期号:135 (10): 1096-1104
被引量:66
标识
DOI:10.1061/(asce)0733-9364(2009)135:10(1096)
摘要
This article evaluates the viability of using fuzzy mathematical models for determining construction schedules and for evaluating the contingencies created by schedule compression and delays due to unforeseen material shortages. Networks were analyzed using three methods: manual critical path method scheduling calculations, Primavera Project Management software (P5), and mathematical models using the Optimization Programming Language software. Fuzzy mathematical models that allow the multiobjective optimization of project schedules considering constraints such as time, cost, and unexpected materials shortages were used to verify commonly used methodologies for finding the minimum completion time for projects. The research also used a heuristic procedure for material allocation and sensitivity analysis to test five cases of material shortage, which increase the cost of construction and delay the completion time of projects. From the results obtained during the research investigation, it was determined that it is not just whether there is a shortage of a material but rather the way materials are allocated to different activities that affect project durations. It is important to give higher priority to activities that have minimum float values, instead of merely allocating materials to activities that are immediately ready to start.
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