@inproceedings{fb308b8954a14cdd8ee9f559d9347568,
title = "Goal programming in Quality Function Deployment using genetic algorithm",
abstract = "Quality Function Deployment (QFD) is a systematic approach that captures customer requirements and translates them, through House of Quality (HOQ), into technical characteristics of the product. An important activity in constructing a HOQ is to determine improvement ratios for the technical characteristics, based on the collected customer requirements, with a view to achieving a high level of overall customer satisfaction. Traditional methods for this planning process are mainly subjective, and often result in a non-optimal or sub-optimal solution, especially with many customer requirements and technical characteristics. This paper presents a goal programming approach to QFD planning. We first present a generic goal programming model for QFD. We then propose a genetic algorithm for linear and nonlinear goal programming models in QFD. Computational experiments show that the proposed approach is effective.",
keywords = "Genetic algorithm, Goal programming, Optimization, Quality function deployment",
author = "Na Tian and Che, {A. Da}",
year = "2007",
doi = "10.1109/ICMSE.2007.4421894",
language = "英语",
isbn = "9787883580805",
series = "Proceedings of 2007 International Conference on Management Science and Engineering, ICMSE'07 (14th)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "482--487",
booktitle = "Proceedings of 2007 International Conference on Management Science and Engineering, ICMSE'07 (14th)",
note = "2007 International Conference on Management Science and Engineering, ICMSE'07 ; Conference date: 20-08-2007 Through 22-08-2007",
}