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.

Implementation model for cellular manufacturing system using AHP and ANP approach

2019 ◽  
Vol 26 (5) ◽  
pp. 1605-1630 ◽  
Author(s):  
Vikrant Sharma ◽  
B.D. Gidwani ◽  
Vikram Sharma ◽  
M.L. Meena
Keyword(s):  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Analytic Network Process ◽  
Cellular Manufacturing System ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Implementation Model ◽  
Factors Analysis ◽  
Wide Range ◽  
Network Process

Purpose The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods. Design/methodology/approach Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis. Findings These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability. Practical implications The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners. Originality/value The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.

scholarly journals Ανάπτυξη συνδυασμένου μεθοδολογικού πλαισίου με τη χρήση ποσοτικών μεθόδων για το σχεδιασμό και βελτίωση της ποιότητας στον τομέα των υπηρεσιών

2014 ◽  
Author(s):  
Κωνσταντίνα Καμβύση
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Fuzzy Ahp ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Process Data ◽  
Analytic Hierarchy ◽  
Quality Function ◽  
Network Process ◽  
Hierarchy Process

Σκοπός της διατριβής είναι η ανάπτυξη ενός συνδυασμένου QFD (Quality Function Deployment) μεθοδολογικού πλαισίου με ενσωμάτωση μεθόδων της Επιχειρησιακής Έρευνας - Ποσοτικής Ανάλυσης, για την πρόβλεψη και την αποτύπωση της πραγματικής “Φωνής του Πελάτη” (“WHATs”) καθώς και την ακριβέστερη μετάφρασή της σε τεχνικές προδιαγραφές (“HOWs”), επιτυγχάνοντας καλύτερο σχεδιασμό και βελτίωση της ποιότητας στον τομέα των υπηρεσιών. Συγκεκριμένα, επιδιώκεται η αύξηση της αποτελεσματικότητας της μεθόδου QFD και της αξιοπιστίας των παραγόμενων αποτελεσμάτων σε επίπεδο λήψης αποφάσεων, εισάγοντας τεχνικές της Πολυκριτηριακής Ανάλυσης, του Γραμμικού Προγραμματισμού, της Θεωρίας Ασαφούς Λογικής και των Στοχαστικών Διαδικασιών. Η παρέμβαση που επιχειρείται είναι πολυεπίπεδη και αφορά: (α) στην αντιμετώπιση της ασάφειας, αβεβαιότητας και υποκειμενικότητας που ενυπάρχει στις απαιτήσεις και προτιμήσεις των καταναλωτών, (β) στην ιεράρχηση των “HOWs” και (γ) στην πρόβλεψη της μελλοντικής “Φωνής του Πελάτη”.Η επισκόπηση της διεθνούς αρθρογραφίας και βιβλιογραφίας οδήγησε στην ανάπτυξη, αρχικώς, της μεθοδολογικής προσέγγισης QFD-DEAHP-DEANP (Data Εnvelopment Analytic Hierarchy Process- Data Envelopment Analytic Network Process), που εφαρμόστηκε στον τραπεζικό τομέα και εν συνεχεία, του μεθοδολογικού πλαισίου Σκοπός της διατριβής είναι η ανάπτυξη ενός συνδυασμένου QFD (Quality Function Deployment) μεθοδολογικού πλαισίου με ενσωμάτωση μεθόδων της Επιχειρησιακής Έρευνας - Ποσοτικής Ανάλυσης, για την πρόβλεψη και την αποτύπωση της πραγματικής “Φωνής του Πελάτη” (“WHATs”) καθώς και την ακριβέστερη μετάφρασή της σε τεχνικές προδιαγραφές (“HOWs”), επιτυγχάνοντας καλύτερο σχεδιασμό και βελτίωση της ποιότητας στον τομέα των υπηρεσιών. Συγκεκριμένα, επιδιώκεται η αύξηση της αποτελεσματικότητας της μεθόδου QFD και της αξιοπιστίας των παραγόμενων αποτελεσμάτων σε επίπεδο λήψης αποφάσεων, εισάγοντας τεχνικές της Πολυκριτηριακής Ανάλυσης, του Γραμμικού Προγραμματισμού, της Θεωρίας Ασαφούς Λογικής και των Στοχαστικών Διαδικασιών. Η παρέμβαση που επιχειρείται είναι πολυεπίπεδη και αφορά: (α) στην αντιμετώπιση της ασάφειας, αβεβαιότητας και υποκειμενικότητας που ενυπάρχει στις απαιτήσεις και προτιμήσεις των καταναλωτών, (β) στην ιεράρχηση των “HOWs” και (γ) στην πρόβλεψη της μελλοντικής “Φωνής του Πελάτη”.Η επισκόπηση της διεθνούς αρθρογραφίας και βιβλιογραφίας οδήγησε στην ανάπτυξη, αρχικώς, της μεθοδολογικής προσέγγισης QFD-DEAHP-DEANP (Data Εnvelopment Analytic Hierarchy Process- Data Envelopment Analytic Network Process), που εφαρμόστηκε στον τραπεζικό τομέα και εν συνεχεία, του μεθοδολογικού πλαισίου QFD-LP-GW-Fuzzy AHP. Η μέθοδος Fuzzy-AHP (Fuzzy Analytic Hierarchy Process) εισάγεται στη μέθοδο του γραμμικού προγραμματισμού LP-GW-AHP, σχηματίζοντας τη μεθοδολογική προσέγγιση LP-GW-Fuzzy AHP (Linear programming method to generate weights in the Fuzzy AHP), η οποία, ακολούθως, συνδυάζεται με τη QFD. Με βάση τη μέθοδο Fuzzy-AHP αντιμετωπίζεται η υποκειμενικότητα και η ασάφεια που χαρακτηρίζει τις ανθρώπινες κρίσεις ως ένα ενδογενές κομμάτι του μεθοδολογικού πλαισίου, συμβάλλοντας έτσι στην καλύτερη διαχείρισή τους, καθιστώντας, παράλληλα, δυνατή την αποτύπωση της πραγματικής “Φωνής του Πελάτη”. Επιπλέον, με την κλίμακα των τριγωνικών ασαφών αριθμών της Fuzzy-AHP δύναται να εκφραστούν με μεγαλύτερη ακρίβεια οι προτιμήσεις των καταναλωτών και οι εκτιμήσεις της διαλειτουργικής ομάδας. Επιπροσθέτως, η LP-GW-AHP αποτελεί την προτεινόμενη μέθοδο ιεράρχησης των “HOWs”, που αντικαθιστά με επιτυχία τη μέθοδο των ιδιοτιμών της κλασικής AHP μεθόδου, απαιτώντας την επίλυση ενός μόνο μοντέλου γραμμικού προγραμματισμού για την παραγωγή των σχετικών βαθμών βαρύτητας. Στα θετικά της συγκεκριμένης μεθόδου ιεράρχησης προσμετρώνται η δυνατότητα εφαρμογής της στην περίπτωση ομαδικής λήψης αποφάσεων, η σχετική ευκολία επίλυσης, η παραγωγή των πραγματικών σχετικών βαθμών βαρύτητας για απόλυτα συνεπείς πίνακες, η διασφάλιση της αντιστοιχίας των παραγόμενων σχετικών βαθμών βαρύτητας με τις υποκειμενικές κρίσεις των αποφασιζόντων, η πλήρης αξιοποίηση των πληροφοριών που δύναται να αντληθούν από ένα πίνακα δυαδικών συγκρίσεων καθώς και η αποφυγή του φαινομένου της αναστροφής κατάταξης.Τέλος, αναγνωρίζεται η δυναμική φύση της “Φωνής του Πελάτη” και η ανάγκη συνυπολογισμού της κατά τη διαδικασία σχεδιασμού και ανάπτυξης των υπηρεσιών. Για το λόγο αυτό επιλέγονται οι Πολυμεταβλητές Μαρκοβιανές αλυσίδες πρώτης και ανώτερης τάξης και χρησιμοποιούνται σε συνδυασμό με το QFD-LP-GW-Fuzzy AHP μεθοδολογικό πλαίσιο. Τα προσδοκώμενα οφέλη των επιχειρήσεων/οργανισμών συνίστανται στην πρόβλεψη των προτιμήσεων των καταναλωτών, στην ακριβέστερη ιεράρχηση των “HOWs” μέσω της διαθέσιμης επικαιροποιημένης γνώσης, στην καλύτερη κατανόηση των αναγκών των καταναλωτών, η οποία βελτιώνει την προοπτική ανάπτυξης αξιόλογων σχεδιαστικών προτάσεων και ποιοτικά ανώτερων υπηρεσιών, καθώς και στη δημιουργία και στην ενδυνάμωση των δεσμών με τους πελάτες. Από πλευράς εφαρμογής, στην παρούσα διατριβή παρουσιάζονται δύο περιπτώσεις του μεθοδολογικού πλαισίου QFD-LP-GW-Fuzzy AHP, μια στον τομέα της εκπαίδευσης και μια στον τραπεζικό τομέα, που επιβεβαιώνουν την αποτελεσματικότητά του ως διαδικασία καταγραφής και ιεράρχησης της “Φωνής του Πελάτη”. Αφενός, η προτεινόμενη διαδικασία δύο Σπιτιών Ποιότητας της QFD για το σχεδιασμό ενός ακαδημαϊκού μαθήματος δύναται να καθοδηγεί τις μαθησιακές διαδικασίες βάσει των ιεραρχημένων μαθησιακών αποτελεσμάτων. Αφετέρου, η διαδικασία τριών Σπιτιών Ποιότητας της QFD για την ανάπτυξη μιας στρατηγικής Μάρκετινγκ ενός χρηματοπιστωτικού ιδρύματος διασφαλίζει τη συνοχή των ενεργειών της τμηματοποίησης, της τοποθέτησης, της σύνθεσης του μίγματος Μάρκετινγκ και της κατανομής των διαθέσιμων πόρων. Καταλήγοντας, η εφαρμογή στον τραπεζικό τομέα επιβεβαιώνει ότι η μέθοδος QFD μπορεί να αποτελέσει την πλατφόρμα διεπαφής της Διοίκησης Ολικής Ποιότητας με το Μάρκετινγκ Υπηρεσιών, συνδέοντας τα “WHATs” του Μάρκετινγκ με τα “HOWs” της ΔΟΠ, διευκολύνοντας έτσι την ανάπτυξη μιας συστηματικής διαδικασίας που θα προωθεί τη συνεχή βελτίωση και τις ποιοτικά ανώτερες υπηρεσίες.

Decision Model of Design for Elderly Wearable Health Monitoring Products Based on Quality Function Deployment and Analytic Network Process

2020 ◽  
Vol 10 (12) ◽  
pp. 2805-2813
Author(s):  
Lin Zhu
Keyword(s):  
Product Design ◽  
Health Monitoring ◽  
Index System ◽  
Quality Function Deployment ◽  
The Elderly ◽  
Analytic Network Process ◽  
House Of Quality ◽  
Quality Model ◽  
Network Process ◽  
Qfd Method

Facing the current situation of aging society, the health of the elderly has once again become an important issue related to people's livelihood. Aiming at the health problems of the elderly, with the improvement of science and technology, a series of wearable health monitoring products targeted at the elderly have gradually appeared. In order to accurately provide the elderly with a good experience in the interaction of wearable health monitoring products, this article obtains the needs of the elderly according to the research content of ergonomics, and addresses the needs of the elderly from their physical, psychological and Three angles of interaction were classified; then based on the demand, a Quality Function Deployment (QFD) method was used to build a house of quality model, which transformed the needs of the elderly into design requirements, and combined with Analytic Network Process (ANP) to build a model evaluation index system. Combining the house of quality model with the network analysis method, so that the advantages of the ANP method can be fully utilized, the shortcomings of the QFD method can be overcome, and the degree of interaction between factors in the index system can be better reflected, so that the attribute weights given are more reasonable. Finally, a fuzzy QFDANP method model for the selection and modification of such product design schemes is constructed, which not only avoids the subjective and unreasonable factors of the initial requirements acquisition of the product design, but also can target the applicability requirements of the product functions and structure Modifications provide clear goals for the design and selection of design options for such products. The validity and practicability of the method are verified by examples.

Prioritizing technical requirements in QFD by integrating grey relational analysis method and analytic network process approach

2015 ◽  
Vol 5 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Chuanmin Mi ◽  
Weiguo Xia
Keyword(s):  
Grey Relational Analysis ◽  
Quality Function Deployment ◽  
Manufacturing Industry ◽  
Analytic Network Process ◽  
Design Stage ◽  
Content Type ◽  
Relational Analysis ◽  
Technical Requirements ◽  
Network Process ◽  
Grey Relational

Purpose – No matter in product design stage or product quality improvement stage, the product technical requirements (PTRs) impacting on product performance are mainly identified and improved to optimize customer needs (CNs) as greatly as possible. The purpose of this paper is to use a new approach to accurately and properly prioritize PTRs in Quality Function Deployment (QFD). Design/methodology/approach – Considering the relationship between CNs and PTRs in QFD hard to quantitatively measure and lack of adequate information, the grey relational analysis (GRA) is applied. Besides, owing to the inherent inner dependencies of CNs as well as QFD, the analytic network process (ANP) which is an effective tool to take into account the inner dependencies with network is utilized. Finally, an integrated framework based on GRA method and ANP approach is proposed to determine the importance degrees of PTRs in designing a product. Findings – The calculation results of the application show that the proposed framework by integrating GRA and ANP is able to determine the importance degrees of PTRs in design a product well. Practical implications – In the application part the authors can see the proposed framework can be applied to PVC window systems. Owing to that traditional QFD method has been widely used in many fields such as manufacturing industry and service industry, actually the proposed framework has great potential application in the real word. Originality/value – This paper succeeds in proposing a new framework by integrating GRA and ANP to determine the importance degrees of PTRs in QFD.

Creating value using public big data: comparison of driving factors from the provider's perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ji Yeon Cho ◽  
Bong Gyou Lee
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Open Data ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
The Public ◽  
Open Government Data ◽  
Network Process ◽  
Government Data

PurposeThe revitalization of big data has gained attention in the public sector. However, such open government data (OGD) is facing major challenges with respect to data quality and limited use. To solve this problem, this study analyzes the factors driving the use of OGD from the perspective of data providers in the public sector.Design/methodology/approachUsing the analytic hierarchy process and analytic network process methodologies, the importance of the factors driving the use of big data in the public sector was ranked. In addition, the different characteristics of tasks among the departments in a public agency were compared based on expert interviews.FindingsThe factors driving OGD use are not only political environment or the technological environment. The importance of the institutional culture within the organization increases with the motivation of the data provider. The priorities of the OGD factors also depend on the objectives of the department involved.Originality/valueThis study provides implications for improving the publication of open data by analyzing the priorities of the factors driving its use from the perspective of big data providers. It focuses on different perceptions of the factors valued by public officials in charge of data in institutions. The results suggest the need to explore officials' perceptions of value creation in big data fields.

An integrated ANP–QFD approach for prioritization of customer and design requirements for digitalization in an electronic supply chain

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepu TS ◽  
Ravi V
Keyword(s):  
Supply Chain ◽  
Quality Function Deployment ◽  
Analytic Network Process ◽  
Lead Times ◽  
Customer Requirements ◽  
Content Type ◽  
Supply Chain Efficiency ◽  
Network Process ◽  
Term Basis ◽  
Design Requirements

PurposeSupply chain efficiency can be enhanced by integrating the activities in supply chain through digitalization. Advancements in digital technologies has facilitated in designing robust and dynamic supply chain by bringing in efficiency, transparency and reduction in lead times. This research tries to identify and prioritize the customer requirements and design requirements for effective integration of supply chain through digitalization.Design/methodology/approachThe key nine customer requirements and 16 design requirements applicable for an electronics company were shortlisted in consultation with the experts from the company and academia. An integrated analytic network process (ANP) and quality function deployment (QFD) methodology has been applied for prioritizing the customer and design requirements. The relative importance and interdependence of these requirements were identified and a House of Quality (HOQ) is constructed.FindingsThe HOQ constructed has prioritized and identified interrelationships among customer requirements and design requirements for effective supply chain digitalization. These findings could be effectively used by managers for planning the objectives on long-term, medium-term and short-term basis.Originality/valueThis study tries to bridge the gap of identifying and prioritizing the design and customer requirements for effective supply chain integration through digitalization. The results could aid practicing managers and academicians in decision-making on supply chain digitalization process.

scholarly journals Using the Analytical Network Process to Select the Best Strategy for Reducing Risks in a Supply Chain

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
L. Hosseini ◽  
R. Tavakkoli-Moghaddam ◽  
B. Vahdani ◽  
S. M. Mousavi ◽  
R. Kia
Keyword(s):  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Supply Chain Network ◽  
Total Quality ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Supply Chain Risks ◽  
Hierarchy Process ◽  
Different Levels

This paper considers four types of the most prominent risks in the supply chain. Their subcriteria and relations between them and within the network are also considered. In a supply chain, risks are mostly created by fluctuations. The aim of this study is to adopt a strategy for eliminating or reducing risks in a supply chain network. Having various solutions helps the supply chain to be resilient. Therefore, five alternatives are considered, namely, total quality management (TQM), leanness, alignment, adaptability, and agility. This paper develops a new network of supply chain risks by considering the interactions between risks. Perhaps, the network elements have interacted with some or all of the factors (clusters) or subfactors. We constitute supply chain risks in the analytic network process (ANP), which attracted less attention in the previous studies. Most of the studies about making a decision in supply chains have been applied in analytic hierarchy process (AHP) network. The present study considers the ANP as a well-known multicriteria decision making (MCDM) technique to choose the best alternative, because of the interdependency and feedbacks of different levels of the network. Finally, the ANP selects TQM as the best alternative among the considered ones.

Schedule and cost overrun analysis for R&D projects using ANP and system dynamics

2017 ◽  
Vol 34 (9) ◽  
pp. 1551-1567 ◽  
Author(s):  
Sandeep Kumar ◽  
J.J. Thakkar
Keyword(s):  
System Dynamics ◽  
Risk Mitigation ◽  
Analytic Network Process ◽  
Raw Material ◽  
Design Stage ◽  
Economic Factors ◽  
Cost Overrun ◽  
Individual Factor ◽  
Content Type ◽  
Network Process

Purpose Schedule and cost overrun analysis for a typical research & development (R&D) project is necessary to identify and mitigate the non-feasible alternatives at the design stage. Typically, this should include an analysis of technological and economic factors of R&D project. This paper aims to discuss these issues. Design/methodology/approach This research proposes an integrated analytic network process (ANP) and reusable system dynamics (SD) model for a quick and strategically consistent decision making. The technological and economic factors of R&D project were first identified and compiled through a systematic literature review. An ANP model was first developed for calculating Risk Priority Index (RPI) for set of technological and economic factors. The computed RPI are considered as an input to SD models. Two SD models (technological and economic) are developed to undertake a detailed investigation on effect of individual factor on schedule and cost overrun. The approach is exemplified for a case of government R&D project in India. Findings ANP identifies “Testing & qualification facility” and “Raw material availability” as the highest RPI factors. A detailed sensitivity analysis of SD models suggests that technological factors such as “Design Changes,” “Hidden Activities,” and “Lack of Expertise” and economic factors such as “Project delays,” “Unexpected incidents” and “Conflicts” have the highest influence on schedule and cost overrun. Practical implications The outcomes of this research can help managers to estimate the severity of various technological and economic factors on cost and schedule overrun and develop an adequate risk mitigation contingency plan. Originality/value In case of R&D projects where systems are being developed for the first time, changes are inevitable, and hence schedule and cost management plays a very important role in its success. This paper proposes an integrated reusable approach of ANP and SD for analyzing the influence of technological and economic factors on schedule and cost overrun of R&D project.

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