视界不确定性下的并行机置换

IF 1 4区经济学 Q4 BUSINESS

Engineering Economist Pub Date : 2018-12-02 DOI:10.1080/0013791X.2018.1535012

Javad Seif, B. Shields, A. J. Yu

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引用次数: 6

摘要

摘要建设项目通常会延迟几个时期。当一个项目的规划范围扩大时，在规划范围内购买和回收机械的预测变得不准确和不那么有益，并经常导致意想不到的费用。在本文中，我们将并联机器替换问题描述为具有不确定规划水平的两阶段随机规划问题。我们考虑租用作为购买和维护机器的另一种选择。我们通过一个建筑项目的案例研究来说明该模型的应用。通过数值分析，我们得出了管理意义，并显示了随机模型的价值。

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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Parallel machine replacement under horizon uncertainty

Abstract Construction projects usually get delayed for several time periods. When the planning horizon of a project is extended, projections for purchase and salvage of machinery within the planning horizon become inaccurate and less beneficial and often lead to unexpected costs. In this article, we formulate a parallel machine replacement (PMR) problem as a two-stage stochastic program with an uncertain planning horizon. We consider renting as an alternative to purchasing and maintaining the machinery. We show the application of the model through a case study in construction projects. Through numerical analysis, we derive managerial implications and show the value of the stochastic model.

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来源期刊

Engineering Economist ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Engineering Economist is a refereed journal published jointly by the Engineering Economy Division of the American Society of Engineering Education (ASEE) and the Institute of Industrial and Systems Engineers (IISE). The journal publishes articles, case studies, surveys, and book and software reviews that represent original research, current practice, and teaching involving problems of capital investment. The journal seeks submissions in a number of areas, including, but not limited to: capital investment analysis, financial risk management, cost estimation and accounting, cost of capital, design economics, economic decision analysis, engineering economy education, research and development, and the analysis of public policy when it is relevant to the economic investment decisions made by engineers and technology managers.