A comparative study of the prioritization matrix method and the analytic hierarchy process technique in quality function deployment

Wang, H.; Xie, Min; Goh, T.N.

doi:10.1080/0954412988361

Cited by 66 publications

(37 citation statements)

References 3 publications

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“…According to Ho [20], one among the many successful applications of AHP is in the field of manufacturing, where a fair number of studies exist next to logistics. See the publications cited in [21][22][23][24][25][26][27][28][29][30][31] as examples in which AHP was successfully applied.…”

Section: Solution Methodologymentioning

confidence: 99%

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Shankar

Kumar²,

Kannan

2016

Sustainability

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A number of current manufacturing sectors are striving hard to introduce innovative long-term strategies into their operations. As a result, many scholarly studies have found it fruitful to investigate advanced manufacturing strategies such as agile, computer-integrated, and cellular manufacturing. Through the example of downstream cases, manufacturing sectors have learned that financial benefits garnered through automated technologies cannot be counted on as a sole measure to ensure their success in today's competitive and fluctuating marketplaces. The objective of this study is to integrate those advanced techniques with sustainable operations, to promote advanced sustainable manufacturing so those manufacturing sectors can thrive even in uncertain markets. To establish this connection, this study analyzes the drivers of advanced sustainable manufacturing through a proposed framework validated through a case study in India. Common drivers are collected from the literature, calibrated with opinions from experts, and analyzed through an analytical hierarchy process (AHP), which is a multi-criteria decision making (MCDM) approach. This study reveals that quality is the primary driver that pressures manufacturing sectors to adopt advanced sustainable manufacturing. Manufacturers can easily note the top ranked driver and adopt it to soundly implement advanced sustainable manufacturing. In addition, some key future scopes are explored along with possible recommendations for effective implementation of advanced sustainable manufacturing systems.

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Section: Solution Methodologymentioning

confidence: 99%

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Shankar

Kumar²,

Kannan

2016

Sustainability

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“…(See Analytical Hierarchy Process by Strasser, Ozgur, & Schroeder, 2002). Wang, Xie and Goh (1998) explain the use of AHP in the context of Quality Function Deployment. Strasser, Ozgur and Schroeder (2002) apply AHP in the context of selecting an undergraduate business major and make some interesting conclusions regarding the selection process.…”

Section: ) Accounting 2) Finance 3) Business Analytics 4) Operatmentioning

confidence: 99%

Trends in Selecting Undergraduate Business Majors & International Enrollment & Expected Salaries

Ozgur¹,

Yang²,

Rogers³

2015

JEL

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The paper begins with a brief review of the literature and how business students choose their major in the U.S. and we list the most popular majors in the U.S. Universities. We also talk about the factors that influenced student's choice. In our next research project, we will not only use a larger sample size but also the sample will come from a few universities to reduce the sampling bias. In this paper, we also talk about changing trends in international students. We talk about the large group of Chinese, Indian, and Arabic students, and we show that with literature and graphical support. In the next section, we analyze one of the up and coming new business majors "Business Analytics" We finish the paper with a discussion of growth of international students both at graduate and undergraduate level, and how we will address the shortcomings of this paper with our next project.

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“…This process template gives the product development teams (PDTs) a synthesis tool to predict what product offerings customers would be interested in -which the company can build and market to make a fair profit. Wang et al [68] recommended that AHP could be applied to the customer voice and also directly to the technical responses. Since the decision-maker can select either the prioritization matrix method or the AHP method for HOQ applications, an understanding of their advantages and disadvantages becomes important.…”

Section: Qfd Analytical Approaches and Modelsmentioning

confidence: 99%

Manufacturing Quality Function Deployment: Literature Review and Future Trends

Oke

2013

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Abstract.A comprehensive review of the Quality Function Deployment (QFD) literature is made using extensive survey as a methodology. The most important results of the study are: (i) QFD modelling and applications are one-sided; prioritisation of technical attributes only maximise customer satisfaction without considering cost incurred (ii) we are still missing considerable knowledge about neural networks for predicting improvement measures in customer satisfaction (iii) further exploration of the subsequent phases (process planning and production planning) of QFD is needed (iv) more decision support systems are needed to automate QFD (v) feedbacks from customers are not accounted for in current studies.Keywords: QFD, literature review, house of quality, voice of the customer, customer satisfaction, improvement.

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A comparative study of the prioritization matrix method and the analytic hierarchy process technique in quality function deployment

Cited by 66 publications

References 3 publications

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach

Trends in Selecting Undergraduate Business Majors & International Enrollment & Expected Salaries

Manufacturing Quality Function Deployment: Literature Review and Future Trends

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