A New Method for Quality Function Deployment With Extended Prospect Theory Under Hesitant Linguistic Environment

2019 ◽  
pp. 1-10
Author(s):  
Hu-Chen Liu ◽  
Song-Man Wu ◽  
Ze-Ling Wang ◽  
Xiao-Yang Li
Keyword(s):  
Prospect Theory ◽  
Quality Function Deployment ◽  
New Method ◽  
Quality Function

A Study on Economic Analysis of HOQ

2011 ◽  
Vol 148-149 ◽  
pp. 1519-1522
Author(s):  
Yan Long Cao ◽  
Kui Zhao ◽  
Jiang Xin Yang ◽  
Jia Yan Guan ◽  
Bo Li
Keyword(s):  
Growth Rate ◽  
Economic Analysis ◽  
Quality Function Deployment ◽  
New Method ◽  
House Of Quality ◽  
Annual Increment ◽  
Quality Function ◽  
Model Based ◽  
Expected Revenue

This paper put forward the concept of economic house of quality (EHOQ), constructing EHOQ model based on quality economic analysis. The proposed method expands the 10-steps model of traditional house to a new 13-steps model via introducing three new steps which are growth rate of customer cognitive price, annual increment of quality comprehensive cost and enterprise expected revenue to carrying out the economic analysis on HOQ. The new method breaks the limitations of traditional quality function deployment (QFD) construction without revenue analysis.

Integrating a prospect theory-based consensus-reaching process into large-scale quality function deployment and its application in the evaluation of contingency plan

2021 ◽  
pp. 1-20
Author(s):  
Yan Zhu ◽  
Chuanhao Fan ◽  
Jing Xiao ◽  
Shenghua Liu
Keyword(s):  
Prospect Theory ◽  
Quality Function Deployment ◽  
Large Scale ◽  
Management Tool ◽  
Quality Function ◽  
Contingency Plan ◽  
Large Numbers ◽  
Consensus Reaching Process ◽  
Evaluation Information ◽  
Consensus Reaching

Quality function deployment (QFD) is a quality management tool that aims to improve customer satisfaction by transforming customer requirements into technical characteristics. It is a crucial procedure to obtain the prioritization of technical characteristics for the products or services in QFD. Traditional QFDs are often implemented by a small number of QFD members. However, with the increasing complexity of product and service design, QFD requires the participation of more QFD members from dispersed departments or institutions. Additionally, the evaluation information given by QFD members may widely differ due to their different knowledge and background. Furthermore, the psychological behaviours of QFD members also greatly influence the final prioritization of technical characteristics. Hence, this paper proposes a novel QFD framework to prioritize technical characteristics using a consensus-reaching process and prospect theory when large numbers of QFD members are involved. In the large-scale QFD framework, prospect theory is generally utilized to depict the psychological behaviours of QFD members. Then, QFD members are divided into several clusters. Eventually, a consensus-reaching process is established to assist QFD members in reaching a consensus. To verify the practicability of the presented framework, this paper applies it to the evaluation of contingency plan to determine the critical measures.

Knowledge Support Technology of Creative Design for Electromechanical Products

2010 ◽  
Vol 139-141 ◽  
pp. 1148-1153
Author(s):  
Kai Zhang ◽  
Wu Zhao ◽  
Chun Sheng Zhou
Keyword(s):  
Quality Function Deployment ◽  
New Method ◽  
Creative Design ◽  
House Of Quality ◽  
Application Process ◽  
Knowledge Model ◽  
Knowledge Application ◽  
Quality Function ◽  
Electromechanical Products ◽  
Knowledge Support

It has been discussed in this paper that the necessity of knowledge support technology used in creative design of electromechanical products. In order to apply knowledge support technology to creative design of electromechanical products, a relation matrix has been constructed by QFD (Quality Function Deployment) technology between the various performances of electromechanical products and the involved knowledge of them. Thus, the HOQ (House of Quality) about the knowledge–performance of electromechanical products is built. Then, the further demand tracking has been made as well. After that, it has been established that the knowledge model and knowledge application process used in creative design of electromechanical products. Finally, a new method has been proposed which can guide designers to do product creative design by knowledge demand.

Peningkatan Kualitas Layanan Konsumen Dengan Metode Servqual Dan Quality Function Deployment

2019 ◽  
Vol 3 (2) ◽  
pp. 60
Author(s):  
Chistofora Desi Kusmindari
Keyword(s):  
Customer Satisfaction ◽  
Quality Function Deployment ◽  
Quality Function

Permasalahan dalam penelitian ini adalah bagaimanakah peningkatan kualitas layanan konsumen CV. Sinar Jaya Agung dengan metode servqual dan quality function deployment dengan tujuan untuk mengetahui persepsi konsumen dengan metode servqual, untuk menentukan nilai gap servqual antara persepsi dan harapan konsumen, dan untuk meningkatkan kualitas layanan sesuai dengan kebutuhan dan keinginan konsumen dengan menggunakan metode quality function deployment. Hasil penelitian ini menunjukkan bahwa semakin tinggi nilai customer satisfaction performancemaka semakin tinggi pula tingkat persepsi konsumen terhadap atribut oleh responden, nilai gap servqual diperoleh nilai tertinggi sebesar 0,35 pada atribut karyawan memiliki kompetensi dan profesional dalam melayani pelanggan. Dengan demikian dapat diartikan bahwa kualitas layanan konsumen yang diberikan sudah bisa dikatakan baik. Hasil pengujian quality function deployment menunjukkan bahwa untuk meningkatkan kualitas layanan sesuai dengan kebutuhan dan keinginan konsumen, maka perusahaan harus melakukan beberapa perbaikan, antara lain: lokasi perusahaan harus mudah dijangkau oleh konsumen, penyediaan checklist pembersihan, pemberian pelatihan rutin kepada karyawan, serta service yang baik dari karyawan pada konsumen.

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