Adjustable Robust Optimization Model for Construction Material Procurement Considering Two-Way Claims Under Price and Demand Uncertainty

IF 4.6 3区 管理学 Q1 BUSINESS
Kaiyue Zhang;Yinghan Zhu;Jing Zhou
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引用次数: 0

Abstract

The dual uncertainty of construction material price and demand, which is a multiplication of uncertainties, magnifies the level of cost uncertainty. Moreover, the shortage cost of construction material is related to the project period, affecting the tradeoff between capital utilization and stockout. Therefore, considering the dual uncertainties of supply price and demand, this article constructs a multistage adjustable robust optimization model to determine the optimal construction material procurement strategy. The model also considers the two-way contract claim agreements between the contractor and the owner. This article further compares four scenarios—where both price and demand are known, price is known but demand is unknown, price is unknown but demand is known, and both price and demand are unknown—to analyze the impact of uncertainty on optimal cost. Furthermore, this article examines the effect of the degree of demand uncertainty and negotiated price on optimal cost and robust optimal procurement strategies. It could guide contractors in claim contract negotiations and procurement optimization in practical applications.
考虑价格和需求不确定性下双向索赔的建筑材料采购可调鲁棒优化模型
建筑材料价格和需求的双重不确定性是不确定性的乘法,放大了成本不确定性的水平。此外,建筑材料短缺成本与项目工期有关,影响了资金利用与缺货之间的权衡。因此,考虑供给价格和需求的双重不确定性,本文构建了多级可调鲁棒优化模型来确定最优建筑材料采购策略。该模型还考虑了承包商和业主之间的双向合同索赔协议。本文进一步比较了价格和需求都已知、价格已知但需求未知、价格未知但需求已知、价格和需求都未知的四种情况,分析了不确定性对最优成本的影响。此外,本文还考察了需求不确定性程度和谈判价格对最优成本和稳健最优采购策略的影响。在实际应用中可以指导承包商进行索赔合同谈判和采购优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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