文章基本信息

标题：Applying Robust Optimization to Solve Product Mix Problem in Automotive Industries
本地全文：下载
作者：Ali Mohaghar ; Mohammad Reza Mehregan ; Mohammad Reza Nazabadi 等
期刊名称：Industrial Management
印刷版ISSN：2008-5885
电子版ISSN：2423-5369
出版年度：2010
卷号：1
期号：2
页码：1-14
出版社：University of Tehran Electronic Journals Database
摘要：Applying Robust Optimization to Solve Product Mix Problem in Automotive Industries In this article, applying robust optimization in product mix problem in automotive industries is presented. The problem includes determining both the quantity and the identification of each product to produce to maximize profit. At first, the deterministic model will be presented. Then, robust model of product mix problem will be illustrated. Bertsimas and Sim approach is used to build robust counterpart of deterministic model. In Bertsimas and Sim approach, the robust counterpart of deterministic model is linear and decision maker can decide about protection level. Model can be used in many automotive industries under uncertainties.
关键词：Discrete Optimization;Product Mix;Robust optimization