基于神经模糊方法的二维保修成本建模综述

N. I. Jamahir, H. A. Majid, A. A. Samah
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引用次数: 1

摘要

在制造业的早期研究中,保修研究主要是由法律专业的研究人员进行的,因此,这类文章只出现在法律期刊上。随后,质保研究吸引了经济学、会计学、管理学、营销工程、运筹学、统计学等领域的研究人员。保修有两种,一种是基于产品使用或使用年限的一维保修,另一种是同时考虑产品使用年限和使用年限的二维保修。本文主要研究二维保修问题。采用人工智能的神经模糊系统方法对质保成本和质保周期进行优化。本文提出了神经模糊框架在保修成本建模中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview on Warranty Cost Modelling in Two-Dimensional Warranty Using Neuro-Fuzzy Approach
In early study of manufacturing, warranty studies were mainly carried out by researchers in the legal profession and, thus, such articles appeared only in the law journals. Subsequently, warranty studies attracted researchers from such field as economics, accounting, management, marketing engineering, operations research and statistics. There are two types of warranty namely one-dimensional warranty, which is based on product usage or product age, and two-dimensional warranty which considers both product age and usage. This paper is mainly concerned about two-dimensional warranty. We applied neuro-fuzzy system approach of AI to optimize warranty cost and period. In this paper, neuro-fuzzy framework apply in warranty cost modelling is proposed.
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