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Preliminary bidding model using analytic hierarchy process and genetic algorithms.

机译:使用层次分析法和遗传算法的初步投标模型。

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摘要

A bidding process is one of the main activities of construction project management. For general contractors, the chance of awarding projects in a bidding process directly relies on the success of selecting the best subcontractor. Therefore, an effective and accurate method of choosing subcontractors affect directly on the profit earned by the general contractors. Traditionally, a general contractor makes selection decision based on its managers' subjective opinion regarding subcontractors' price quotations. This approach in selecting subcontractors may result in low efficiency and quality of work. This thesis presents an Analytic Hierarchy Process (AHP) method considering the weight of each factor when a subcontractor is valued. The Genetic Algorithm method is on the basis of AHP for dealing with the subcontractor selection to establish a subcontractor value rating system. A real project example is explained and evaluated to demonstrate the feasibility of the method. This thesis is of value to general contractor with a regard to providing a tool for bidding process in the early stage of construction projects.
机译:招标过程是建设项目管理的主要活动之一。对于总承包商而言,在招标过程中授予项目的机会直接取决于选择最佳分包商的成功。因此,选择分包商的有效而准确的方法直接影响到总承包商的利润。传统上,总承包商根据其经理对分包商价格报价的主观意见来做出选择决定。选择分包商的这种方法可能会导致效率低下和工作质量低下。本文提出了一种考虑层次分析法(AHP)的方法,该方法考虑了对分包商进行评估时各个因素的权重。遗传算法是在层次分析法的基础上,对分包商的选择进行处理,建立分包商价值评价体系。解释并评估了一个真实的项目示例,以证明该方法的可行性。对于在建设项目的早期阶段提供招标过程的工具而言,本论文对总承包商具有价值。

著录项

  • 作者

    Liu, Xiaoyu.;

  • 作者单位

    California State University, Long Beach.;

  • 授予单位 California State University, Long Beach.;
  • 学科 Industrial engineering.;Management.;Civil engineering.
  • 学位 M.S.
  • 年度 2016
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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