Construction of key model for knowledge management system using AHP‐QFD for semiconductor industry in Taiwan

2007 ◽  
Vol 18 (5) ◽  
pp. 576-597 ◽  
Author(s):  
S.C. Chen ◽  
C.C. Yang ◽  
W.T. Lin ◽  
T.M. Yeh ◽  
Y.S. Lin
Keyword(s):  
Knowledge Management ◽  
Quality Function Deployment ◽  
Semiconductor Industry ◽  
Analytic Hierarchy ◽  
Content Type ◽  
System Models ◽  
Measurement Analysis ◽  
Performance Matrix ◽  
Set Up ◽  
Evaluation Matrix

PurposeThe purpose of this paper is to describe the construction of a key model for knowledge management (KM) systems using AHP‐QFD for the semiconductor industry in Taiwan.Design/methodology/approachThe performance evaluation matrix was modified to set up a standard performance matrix for system introduction. The importance weights of models related to KM via the analytic hierarchy process (AHP) and after consulting experts' opinions. The method of quality function deployment (QFD) was integrated for the system models of a KM system and correlation weights of key objectives to be improved.FindingsSeven key objectives need to be improved. Correlations between the key objectives to be improved and the KM system models are located via QFD for eight critically important models to be improved.Research limitations/implicationsIn this study, the questionnaires were e‐mailed to respondents sampled from the list of the Taiwan Semiconductor Industry Association (TSIA).Practical implicationsActual cases are investigated and a KM system prototype is established in this research to provide reference for the semiconductor industry when introducing a KM system.Originality/valueCompanies can evaluate the performance of system introduction rapidly and regulate their investments in resources efficiently using the measurement, analysis and improvement methods provided here so that the performance of introducing the KM system will be increased effectively at the lowest cost.

scholarly journals The Influence of the Two-child Policy on China’s Population Projection

2018 ◽  
Vol 7 (3) ◽  
pp. 94 ◽  
Author(s):  
Hao Yan
Keyword(s):  
National Policy ◽  
Chinese Government ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Child Policy ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Set Up ◽  
The One ◽  
Evaluation Matrix

Since January 1,2016, China has implemented the Two-child policy. The Two-child policy is contrast to the One-child policy which has been implemented for nearly 30 years by Chinese government. Since this Two-child policy is a basic national policy of China, its purpose is to determine a reasonable rate of population development. Whether the two-child policy can really achieve the desired effect. This article will discuss statistical methods and social realities.Firstly, author uses the entropy weight with Analytic Hierarchy Process(AHP) method. Eighteen indicators affecting the population were set up to establish an initial evaluation matrix according to the actual situation and determine the accurate weight of each indicator.Secondly, the author makes predictions on China’s future population. In order to make sure the accuracy of the forecast, author makes second forecast of the modified value to reduce the noise caused by the entropy weight method. And the author discusses which method is suit for this question.Finally, author analyzes this situation.

scholarly journals A Markovian-QFD approach in addressing the changing priorities of the customer needs

2016 ◽  
Vol 33 (8) ◽  
pp. 1062-1075 ◽  
Author(s):  
Mehdi Rajabi Asadabadi
Keyword(s):  
Markov Chain ◽  
Markov Chains ◽  
Quality Function Deployment ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Customer Needs ◽  
Customer Preferences ◽  
Network Process ◽  
Qfd Method

PurposeThe purpose of this paper is to introduce a solution to the problem of changing priorities of customer needs (CNs) in quality function deployment (QFD). Customer preferences and priorities are not very stable and they may change before products are ready for the market. Therefore, finding CNs accurately is a key to reach a higher level of customer satisfaction through improving products. Design/methodology/approachIn the proposed model, a Markov chain is employed to model the changing priorities of CNs. The Markov chain finds a pattern of future CNs, the main inputs of QFD. The QFD method is applied to translate CNs into product requirements (PRs). The analytic network process (ANP) is attached to QFD to ensure that all the relations among the elements, inner and outer, are taken into consideration during the translation process. Thus, CNs are received and adjusted by a Markov chain. FindingsThe application of Markov chains for an ANP-QFD model develops an adequate method of finding a pattern of changing priorities of CNs. This pattern enables the ANP-QFD method to work independent of the initial CNs, and originates a Markovain ANP-QFD. Originality/valueThis study originates a stochastic ANP-QFD model. There have been several papers employing various tools and techniques such as the ANP or analytic hierarchy process for QFD to find accurate relations between PRs and CNs. While there are a few papers applying Markov chains to predict the future of the relations of QFD, there is no study which traces the changes in priorities of the CNs during the improvement process. This is addressed by applying a Markovian ANP-QFD. The model is validated through a case study.

An investigation into critical service determinants of customer to business (C2B) type product returns in retail firms

2016 ◽  
Vol 46 (6/7) ◽  
pp. 606-633 ◽  
Author(s):  
Kamrul Ahsan ◽  
Shams Rahman
Keyword(s):  
Support Service ◽  
Product Returns ◽  
Senior Managers ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Customer Support ◽  
Reference Guide ◽  
Set Up ◽  
Returns Management ◽  
User Friendly

Purpose – In spite of regular occurrence of product returns, research into determinants of returns services in retail businesses is still limited. To fill the gap, the purpose of this paper is to investigate critical determinants of customer to business type product returns services in the retail industry. Design/methodology/approach – The authors develop a framework of product returns services that consists of three major service categories and 16 returns service determinants. The criticality of the determinants of product returns management are assessed employing the analytic hierarchy process (AHP) based multi-criteria decision-making approach. Under AHP set up the authors interview retail operations managers of major retail firms in Australia to identify critical determinants of product returns services. Findings – Results indicate that the most important returns services dimensions are the way in which returns services are handled through interaction, and the outcome of service delivery. The top five critical service determinants of product returns are related to: communication support service for customer, money back for any type of returns, customer support access, user-friendly interaction, and product replacement. Originality/value – The findings of the study can be considered by senior managers of retail firms as a reference guide for designing efficient and effective returns service systems and developing strategies for competitive advantage through product returns, namely, customer retention.

Enhancing voice of customer prioritisation in QFD by integrating the competitor matrix

2020 ◽  
Vol 70 (1) ◽  
pp. 217-229 ◽  
Author(s):  
Zafar Iqbal ◽  
Nigel Peter Grigg
Keyword(s):  
Quality Function Deployment ◽  
Current Practice ◽  
Geometric Mean ◽  
Strong Relationship ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Importance Ratings ◽  
Voice Of Customer ◽  
Hierarchy Process

PurposeQuality function deployment (QFD) is a quality improvement methodology using a system of interrelated matrices, where the influence of any one matrix may meaningfully change the concluding outcomes. In these interconnected matrices, the voice of customer (VOC) matrix and competitor matrix have a strong relationship. The current practice of finding improvement ratios (IRs) does not incorporate competitors' rating in a way that fully utilises competitors' rating information. The aim of this article to enhance VOC importance ratings by utilising the application of analytic hierarchy process (AHP) combined with the geometric mean (GM).Design/methodology/approachThe current practice of computing IRs may divert QFD practitioners' attention from a potentially important VOC to less important VOC. In the first step using the existing competitors' ratings, a matrix of multiple comparisons is generated for all competitors. In the second step GM for each VOC is integrated with present VOC importance ratings to set new ratings.FindingsA QFD case study from the published literature is used to illustrate the application of new method. It is described how the existing results of the case study may divert to flawed decisions. It is further corroborated that in this way re-ranking of existing VOCs better achieve the goal of customer satisfaction in relation to VOC ratings and competitors' rankings.Originality/valueBy employing this method, competitor rating can be transformed to two dimensional results, which provide a better picture to practitioners in observing their company's position and in improving VOC rating as well.

Case studies and comparison between two models for assessing library service quality

2018 ◽  
Vol 36 (6) ◽  
pp. 1099-1113 ◽  
Author(s):  
Qingkui Xi ◽  
Heng Zhao ◽  
Yitao Hu ◽  
Yunjuan Tong ◽  
Ping Bao
Keyword(s):  
Service Quality ◽  
Case Studies ◽  
Evaluation Model ◽  
University Libraries ◽  
Library Service ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Chinese University ◽  
Set Up

Purpose This study aims to describe case studies of two models, LibQUAL+ and a model based on the analytic hierarchy process (AHP), used to assess library service quality and compare the two assessment models. Design/methodology/approach First, an AHP-based evaluation model is set up to assess library service quality, following which the model is adapted to assess the service quality of Nanjing Agricultural University Library. Second, a modified LibQUAL+ model is created and implemented in the form of a questionnaire survey to assess the library service quality of the same library. Finally, the two assessment models are compared. Findings The results of the two case studies indicate that LibQUAL+ is suitable for assessing Chinese university libraries after modified, and the library AHP model is more suitable for comparing libraries in China between themselves. Originality/value This paper uses two methods for assessing library service quality; this should prove to be helpful for the librarians interested in assessing the service quality of Chinese university libraries.

Benchmarking of product recovery alternatives in reverse logistics

2016 ◽  
Vol 23 (2) ◽  
pp. 406-424 ◽  
Author(s):  
S. K. Sharma ◽  
S.S. Mahapatra ◽  
M.B. Parappagoudar
Keyword(s):  
Decision Making ◽  
Reverse Logistics ◽  
Product Recovery ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Multiple Decision Makers ◽  
Novel Approach ◽  
Objective And Subjective Weights ◽  
Set Up

Purpose – Selection of best product recovery alternative in reverse logistics (RL) has gained great attention in supply chain community. The purpose of this paper is to provide a robust group decision-making tool to select the best product recovery alternative. Design/methodology/approach – In this paper, fuzzy values, assigned to various criteria and alternatives by a number of decision makers, are converted into crisp values and then aggregated scores are evaluated. After obtaining experts’ scores, objective and subjective weights of the criteria have been calculated using variance method and analytic hierarchy process, respectively. Then integrated weights of criteria are evaluated using different proportions of the two weights. The superiority and inferiority ranking (SIR) method is then employed to achieve the final ranking of alternatives. An example is presented to demonstrate the methodology. Findings – The proposed methodology provides decision makers a systematic, flexible and realistic approach to effectively rank the product recovery alternatives in RL. The alternatives can easily be benchmarked and best recovery strategy can be obtained. The sensitivity analysis carried out by changing different proportion of objective and subjective weights reveals that best ranking alternative never changes and proves the robustness of the methodology. The present benchmarking framework can also be used by decision makers to simplify any problem which encounters multi-attribute decision making and multiple decision makers. Research limitations/implications – The proposed methodology should be tested in different situations having varied operational and environmental conditions dealing with different products. A real case study from an industrial set up can help to assess the behavior of the proposed methodology. The presented methodology however can deal with such multi-disciplinary and multi-criteria issues in a simple and structured manner and ease the managers to select the best alternative. Originality/value – A novel approach for decision making taking into account both objective and subjective weights for criteria has been proposed to rank the best recovery alternatives in RL. The proposed methodology uses SIR method to prioritize the alternatives. As RL alternative selection is an important issue and involves both technical and managerial criteria as well as multiple decision makers, the proposed robust methodology can provide guidelines for the practicing managers.

Study on manufacturer–dealer relationships for strategic alignment

2019 ◽  
Vol 13 (1) ◽  
pp. 70-87
Author(s):  
Sunil Kumar C.V. ◽  
Surya Hemanth ◽  
Srikanta Routroy ◽  
Ram Kumar Mishra
Keyword(s):  
Quality Function Deployment ◽  
Design Methodology ◽  
Customer Requirements ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Strategic Relationships ◽  
Demand Scenario ◽  
The Right ◽  
Fuzzy Quality Function Deployment ◽  
Hierarchy Process

Purpose Dealers positioned at the downstream of the supply chains are those who can directly influence demand scenario for the manufacturer. However, manufacturer has to ensure that the influence is favorable by competitively fulfilling the anticipations of the dealers. In this regard, the purpose of this paper is focused on developing sustainable strategic relationships between manufacturer and dealer. Design/methodology/approach In this paper, the basic requirements of the dealers expected to be fulfilled by a manufacturer are analyzed by applying fuzzy Analytic Hierarchy Process and fuzzy Quality Function Deployment. The said approach is implemented in a case situation of a paint manufacturing company in India, and the results are analyzed to provide directions for the company to strategically align manufacturer–dealer relationships. Findings It was found that the case company has to focus mainly on promotions and advertisements, painters meet, and recognition offered to the dealers. Although pricing was also considered as one of the prominent aspects yet through competitive assessment the case company was found to be better off compared to its competitors. Research limitations/implications As the results obtained in the current study are specific to a manufacturing environment, they cannot be generalized for all the companies. However, similar approach can be adopted for analyzing the customer requirements in order to achieve dealers’ attractiveness and satisfaction. Originality/value The application of proposed approach assists a manufacturer to pursue right strategy to practice for achieving dealer attractiveness and satisfaction. This will definitely help the supply chain managers to have the right requirements of the dealers’ are fulfilled on priority.

Analytic evaluation of facilities performance from the user perspective: case study on a badminton hall

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wenchao Shi ◽  
Joseph H.K. Lai ◽  
C.K. Chau ◽  
Philip Wong ◽  
David Edwards
Keyword(s):  
Analytic Hierarchy ◽  
User Perspective ◽  
Performance Levels ◽  
Content Type ◽  
Sports Venues ◽  
And Performance ◽  
Evaluation Matrix ◽  
Hierarchy Process ◽  
Practical Implications

Purpose The purpose of this study is to identify key performance indicators (KPIs) for badminton halls and, through a case study, illustrate how the facilities performance of a university badminton hall can be evaluated from the user perspective. Design/methodology/approach After a desktop literature review, the findings were discussed by a focus group, and the discussion result formed the basis for establishing an analytic hierarchy of facilities performance for the badminton hall. Then, interviews were made with 169 badminton hall users to solicit their perceived facilities’ importance and performance levels of the hall. Using MATLAB, a computer program incorporated with an Analytic Hierarchy Process was devised to compute the importance weights of the performance attributes under assessment. The outcomes were interpreted using an importance-performance evaluation matrix. Findings A facilities performance hierarchy, comprising nine KPIs, was established for the badminton hall. The factors influencing the users’ perceptions, the importance and performance levels of the KPIs and the areas of the hall requiring improvements were identified. Research limitations/implications Future studies can take a similar approach of this study to develop KPIs and facilities performance hierarchies for other types of sports venues. Practical implications The method used to identify the improvements required for the badminton hall can be applied to investigations on other sports facilities. Originality/value The methodology of this research was first applied to study a badminton hall – as reported in this paper.

A multicriteria model for evaluation of Brazilian wineries from a tourism destination perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kettrin Farias Bem Maracajá ◽  
Vanessa Batista Schramm ◽  
Fernando Schramm ◽  
Vander Valduga
Keyword(s):  
Service Quality ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Wine Tourism ◽  
Public Managers ◽  
Formal Tool ◽  
Multicriteria Model ◽  
Two Phases ◽  
Evaluation Matrix

Purpose This paper aims to propose a multicriteria model for the evaluation of tourist service quality in Brazilian wineries from a tourism perspective. Design/methodology/approach The model is comprising two phases: structure of the problem and application of the method. First, the selection of wineries in a given region, the identification of decision-makers that will perform the evaluation according to a set of 19 criteria based on the Tourqual protocol and the construction of the evaluation matrix in the next phase. Then, the analytic hierarchy process (AHP) method is applied and a rank of wineries is provided. Findings The model is applied to evaluate the seven most important wineries in South Brazil and the results provided by the AHP method, considering the categories of Tourqual protocol, are consistent with the opinion of specialists in wine tourism. Research limitations/implications The model needs to be applied to other case studies to evaluate the consistency of the results and their acceptability by the tourism sector. Practical implications The model has the potential to be applied as a formal tool for evaluation of wineries, support decision-making processes in different wine tourism management structures: private wine and tourism organizations; public managers of tourism activity and managers of governance structures. Originality/value This paper presents a novel AHP-based model for evaluation of service quality in the winery’s tourism domain, an empirical application of the model for evaluation of wineries in one of the most important regions that produce grapes and wine in South America.

scholarly journals mHealth apps design using quality function deployment

2019 ◽  
Vol 32 (4) ◽  
pp. 698-708
Author(s):  
Süleyman Barutçu
Keyword(s):  
Quality Function Deployment ◽  
Mobile Apps ◽  
Care Quality ◽  
Design Quality ◽  
Analytic Hierarchy ◽  
Quality Function ◽  
Content Type ◽  
Mobile Health Applications ◽  
Design Characteristics ◽  
Mhealth Apps

Purpose The purpose of this paper is threefold: first, to draw health managers’, clinicians’, entrepreneurs’ and mobile apps designers’ attention toward new mobile health applications (mHealth apps); second, to define mHealth apps design characteristics intended for doctors; and third, to highlight how mHealth apps can be designed using quality function deployment/house of quality (QFD/HOQ) techniques from doctors’ perspectives. Design/methodology/approach Data were collected through a survey and in-depth interviews with doctors to understand their needs and attitudes toward mHealth apps. Analytic hierarchy process, QFD and HOQ methods were used to analyze data. Findings Doctors agreed that mHealth apps provide them with the tools to improve their service and to become more efficient. Once the 12 doctors’ wants were collected, they were prioritized according to their significance and used for mHealth apps development. Eight technical characteristics that cater to doctors’ expectations were sorted. The authors suggest that mHealth app designers need to provide design requirements recommended by health personnel for a higher satisfaction level. Originality/value Healthcare managers are focusing on increasing their efficiency, patient satisfaction and care quality, and decreasing costs. For these purposes, mHealth revolution and mHealth apps have high potential for improving doctor effectiveness and healthcare quality. This study is among the first to: define Turkish doctors’ wants from mHealth apps; elaborate the app’s technical characteristics; and increase design quality, which is implied in improving app design. This research makes a significant contribution to define doctors’ wants from mHealth apps, to elaborate their technical characteristics and to increase mHealth apps design quality using QFD.

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