Optimization in Quality Function Deployment Using Linear Programming Models
Quality Function Deployment (QFD) is an approach to customer driven product development. QFD adopts a scientific and systematic method to collect customer requirements, and translates them into appropriate technical characteristics for each stage of the product development cycle using a structured framework known as House of Quality ( HOQ). An important activity in HOQ is to determine target levels for technical characteristics, based on the collected customer requirements, with a view to achieving a high level of overall customer satisfaction. Traditionally, this complex planning process is accomplished in a subjective manner, which often results in non-optimal or sub-optimal solutions. This paper presents four kinds of linear programming models for such a planning process. Details are given on how the models are derived from an established HOQ. Computational experiment from the development of an air-conditioner shows that the proposed models are effective, and can aid a design team in determining the target levels for technical characteristics based on the information in an HOQ.
Quality Function Deployment Linear Programming Optimization
Che Ada Lin Zhihang
School of Management, Northwestern Polytechnical University, Xian P.R.China, 710072 CIM Institute, Xian Jiaotong University, Xian P.R.China, 710049
国际会议
天津
英文
2007-10-20（万方平台首次上网日期，不代表论文的发表时间）