Fuzzy Optimization Modeling Approach for QFD-Based New Product Design

Zhihui Yang,Yizeng Chen

doi:10.1155/2014/548271

Abstract

Quality function deployment (QFD) is a planning and problem-solving tool for translating customer requirements (CRs) into the engineering characteristics (ECs) of a product. Owing to the typical vagueness of functional relationships in a new product, product planning is becoming more difficult under uncertainties. To tackle the vagueness or imprecision in QFD, numerous scholars have applied the fuzzy set theory to QFD and proposed various fuzzy QFD models. In this study, a fuzzy linear programming model is developed to determine the optimal level of ECs, where the objective function is the overall customer satisfaction and the cost constraint is fuzzified. Finally, we use a software product design as a numerical example, which demonstrates that the proposed methodology can help the QFD team realize the overall customer satisfaction of new products catching up with or exceeding the competitors in the target market.

Highlights

Being able to perform new product development in a short lead time and at a low cost is the key to improve competitiveness for enterprises in the global market
To solve a search engine quality improvement problem, Sener and Karsak [5] put forward a fuzzy regression model to identify the functional relationships between Customer requirements (CRs) and engineering characteristics (ECs) and among ECs and developed a mathematical programming model to determine target levels of ECs using the functional relationships obtained by fuzzy regression
They considered that the determination of the optimal levels of ECs was related to many objectives such as maximizing the overall customer satisfaction, minimizing technical difficulty, and maximizing extendibility of ECs

Summary

Introduction

Being able to perform new product development in a short lead time and at a low cost is the key to improve competitiveness for enterprises in the global market. To solve a search engine quality improvement problem, Sener and Karsak [5] put forward a fuzzy regression model to identify the functional relationships between CRs and ECs and among ECs and developed a mathematical programming model to determine target levels of ECs using the functional relationships obtained by fuzzy regression. Their method has not considered the cost may be fuzzy.

Literature Review

Methodology

Empirical Analysis

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Conclusion