模糊多目标线性规划在产品组合决策中的应用

S. Susanto, Neneng Tintin Rosmiyanti, P. Vasant, A. Bhattacharya
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引用次数: 3

摘要

本文主要研究利用食品加工业的实际数据来优化产品组合问题。将广泛使用的LP模型用模糊集进行重构,并应用于实际问题。所建立的LP模型能够考虑参数的模糊性,并能处理多目标函数的存在。产品组合决策者对(i)获得的总利润和(ii)造成的浪费的满意程度至少为70%,这是令人鼓舞的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making
This paper focuses on optimizing product-mix problem using real-world data of a food processing industry. The extensively used LP model has been remodeled using fuzzy sets and applied to the real-world problem. The developed LP model is able to consider the fuzziness in the parameters and to tackle the presence of multiple objective functions. The degree of satisfaction of the product-mix decision-maker in terms of (i) the total profit obtained and (ii) the waste resulted, is at least 70%, which is encouraging
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