Fuzzy ANP and DEA approaches for analyzing the human development and competitiveness relation

2020 ◽  
Vol 39 (5) ◽  
pp. 6629-6643
Author(s):  
Hakan Kılıç ◽  
Özgür Kabak
Keyword(s):  
Human Development ◽  
Causal Relation ◽  
Composite Index ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Bilateral Relations ◽  
Network Process ◽  
Dea Models ◽  
Key Dimensions ◽  
The Relationship

Human development and competitiveness have a causal relation. However, the literature is not clear on which one affects the other. This study investigates the bilateral relation between human development and competitiveness. For this purpose, initially, Fuzzy Analytic Network Process (FANP) is utilized to develop a composite index based on the relative importance weights of respective human development and competitiveness drivers. By FANP, the effects of key dimensions of human development and indexes of competitiveness on each other are taken into account. Subsequently, countries’ efficiencies on converting their human development to competitiveness and inversely, competitiveness to human development is measured by Data Envelopment Analysis (DEA). Two different DEA models are developed to consider the bilateral relations. 45 countries are evaluated using both FANP and DEA models. Finally, the results are synthesized to reveal the direction of the relationship. It is found that the effect of competitiveness on human development is more significant than the effect of human development on competitiveness.

scholarly journals An Investigation of Country Efficiencies as to Human Development Index Variables

2015 ◽  
Author(s):  
Selim Başar ◽  
Murat Eren ◽  
Miraç Eren
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Developed Countries ◽  
Data Envelopment ◽  
Important Research ◽  
Effective Utilization ◽  
Development Index ◽  
Dea Models ◽  
The Developed Countries ◽  
The Relationship

Inability to resolve a number of social problems in the developed countries has brought forward the relationship between economic growth and human development in the research agenda. One of the important research carried out in this context has been the calculation of the Human Development Index (HDI). The aim of this study is to measure the relative efficiencies of each country in each group of countries ranked as to their HDI Index values by evaluating each group in itself and to recommend policies for effective utilization of their resources. Non-input radial-based Data Envelopment Analysis (DEA) models, in which the efficiency measured only by utilizing output variables, was employed for this aim. Life expectancy, education and GDP indices used in calculation of HDI were used as output variables for the estimations.

scholarly journals Human error probability analysis of overhead crane operation in steel fabrication company using SLIM-DEMATEL-ANP method

2018 ◽  
Vol 204 ◽  
pp. 05012 ◽  
Author(s):  
Annisya Arumy Nurdiawati ◽  
Lukman Handoko ◽  
Am Maisarah Disrinama ◽  
Haidar Natsir Amrullah ◽  
Denny Dermawan ◽  
...  
Keyword(s):  
Error Probability ◽  
Human Error ◽  
Analytic Network Process ◽  
Overhead Crane ◽  
Index Method ◽  
Is Success ◽  
Network Process ◽  
Steel Fabrication ◽  
The Relationship ◽  
Human Error Probability

The accident record from a steel fabrication company in 2014-2017 shows that the most frequent accidents take place in overhead crane operation with a percentage of 42%. The overhead crane operation has the greatest potential of accidents with human error as the main cause. The purpose of this study is to determine what factors affect the occurrence of errors, to know how much HEPs, and to determine recommendations. The method used in this research is Success Likelihood Index Method (SLIM) with qualitative development using Decision Making Trial and Evaluation Laboratory (DEMATEL) which aims to establish the relationship among PSFs to be an easily comprehensible structured model by considering expert judgements and to solve dependency in a set of criteria. Analytic Network Process (ANP) is used to overcome the inconsistency of expert judgements and difficulty in selection and weighting. The calculation and analysis reveal that the highest Human Error Probability (HEP) value is shown by the task to handling or lifting with the value 0.000485. Impact assessment using the HEP value to determine probability and consequence is performed by expert judgements. Improvement recommendations are prioritized for high rating error tasks using Error Reduction Analysis.

Using Data Envelopment Analysis to Construct Human Development Index

2017 ◽  
pp. 298-323
Author(s):  
Paulo Nocera Alves Junior ◽  
Enzo Barberio Mariano ◽  
Daisy Aparecida do Nascimento Rebelatto
Keyword(s):  
Data Envelopment Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Data Envelopment ◽  
Data Normalization ◽  
Weighting Schemes ◽  
Development Index ◽  
Dea Models ◽  
Kendall Correlation ◽  
Using Data

This chapter addresses problems related to methodological issues, such as data normalization, weighting schemes, and aggregation methods, encountered in the construction of composite indicators to measure socio-economic development and quality of life. It also addresses the use of several Data Envelopment Analysis (DEA) models to solve these problems. The models are discussed and applied in constructing a Human Development Index (HDI), derived from the most recent raw and normalized data, using arithmetic and geometric means to aggregate the indices. Issues related to data normalization and weighting schemes are emphasized. Kendall Correlation was applied to analyze the relationship between ranks obtained by DEA models and HDI. Recommendations regarding the advantages and disadvantages of using DEA models to construct HDI are offered.

DEA Models for Parallel Systems: Game-Theoretic Approaches

2015 ◽  
Vol 32 (02) ◽  
pp. 1550008 ◽  
Author(s):  
Juan Du ◽  
Joe Zhu ◽  
Wade D. Cook ◽  
Jiazhen Huo
Keyword(s):  
Black Box ◽  
Data Envelopment ◽  
System Efficiency ◽  
Data Set ◽  
Dea Models ◽  
Game Theoretic ◽  
Work Shifts ◽  
The Relationship ◽  
Relevant Component ◽  
Plant Efficiency

In many settings, systems are composed of a group of independent sub-units. Each sub-unit produces the same set of outputs by consuming the same set of inputs. Conventional data envelopment analysis (DEA) views such a system as a "black-box", and uses the sum of the respective inputs and outputs of all relevant component units to calculate the system efficiency. Various DEA-based models have been developed for decomposing the overall efficiency. This paper further investigates this kind of structure by using the cooperative (or centralized) and non-cooperative (Stackelberg or leader–follower) game theory concepts. We show that the existing DEA approaches can be viewed as a centralized model that optimizes the efficiency scores of all sub-units jointly. The proposed leader–follower model will be useful when the priority sequence is available for sub-units. Consider, for example, the evaluation of relative efficiencies of a set of manufacturing facilities where multiple work shifts are operating. Management may wish to determine not only the overall plant efficiency, but as well, the performance of each shift in some priority sequence. The relationship between the system efficiency and component efficiencies is also explored. Our approaches are demonstrated with an example whose data set involves the national forests of Taiwan.

scholarly journals Integration Dematel and ANP for The Supplier Selection in The Textile Industry: A Case Study

2021 ◽  
Vol 20 (1) ◽  
pp. 119-130
Author(s):  
Dana Marsetiya Utama ◽  
Bianca Maharani ◽  
Ikhlasul Amallynda
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Textile Industry ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Product Price ◽  
Network Process ◽  
The Relationship ◽  
Selection Of

Currently, companies are required to improve supply chain performance. One of the main problems in the supply chain is the proper supplier selection. Supplier selection has an essential role in improving supply chain management performance. Supplier selection requires the proper criteria. However, the relationship between criteria is rarely considered in the selection of suppliers in the textile industry. This study tries to propose integrating the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) for supplier selection in the textile industry. Both methods are multi-criteria decision making (MCDM) tools DEMATEL is used to assess the relationship between criteria. Furthermore, ANP is used to evaluate and weigh the importance of criteria and suppliers. A case study was carried out in a textile company located in Indonesia. The results show that this procedure can identify the relationship and effect of each criterion. The results show that the product price criteria are the criteria that have the most significant weight. The criteria for conformity to specifications and consistency of quality are in second and third place. Finally, suppliers are selected based on weight assessment on each criterion by ANP.

scholarly journals Productivity Benchmarking Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA)

2018 ◽  
Vol 2 (3) ◽  
pp. 27 ◽  
Author(s):  
Shanta Mazumder ◽  
Golam Kabir ◽  
M. Hasin ◽  
Syed Ali
Keyword(s):  
Data Envelopment Analysis ◽  
Returns To Scale ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Contributing Factors ◽  
Productivity Measurement ◽  
Apparel Manufacturing ◽  
Network Process ◽  
Dea Approach ◽  
Constant Returns To Scale

Measuring productivity is the systematic process for both inter- and intra-organizational comparisons. The productivity measurement can be used to control and facilitate decision-making in manufacturing as well as service organizations. This study’s objective was to develop a decision support framework by integrating an analytic network process (ANP) and data envelopment analysis (DEA) approach to tackling productivity measurement and benchmarking problems in a manufacturing environment. The ANP was used to capture the interdependency between the criteria taking into consideration the ambiguity and vagueness. The nonparametric DEA approach was utilized to determine the input-oriented constant returns to scale (CRS) efficiency of different value-adding production units and to benchmark them. The proposed framework was implemented to benchmark the productivity of an apparel manufacturing company. By applying the model, industrial managers can gain benefits by identifying the possible contributing factors that play an important role in increasing the productivity of manufacturing organizations.

Performance evaluation of portfolios with fuzzy returns

2019 ◽  
Vol 53 (5) ◽  
pp. 1581-1600 ◽  
Author(s):  
Zhongbao Zhou ◽  
Enming Chen ◽  
Helu Xiao ◽  
Tiantian Ren ◽  
Qianying Jin
Keyword(s):  
Fuzzy Theory ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Terminal Wealth ◽  
Portfolio Efficiency ◽  
Dea Models ◽  
Initial Wealth ◽  
Investment Process ◽  
Desirable And Undesirable Outputs ◽  
The Relationship

The existing literature on DEA (Data Envelopment Analysis) for evaluating fuzzy portfolios usually takes risk as an input and return as an output. This assumption is actually not congruent with the real investment process, where the input is the initial wealth and the output is the corresponding terminal wealth. As for the risk and return, which are essentially two indicators derived from the terminal wealth, both should be regarded as outputs. In addition, few studies have employed the diversification model (nonlinear DEA) to estimate the fuzzy portfolio efficiency (PE), despite the fact that there are many studies available within the framework of classical probability theory. Further, the relationship between DEA and diversification models needs to be defined. In this paper, we take the initial wealth as an input, while the return and risk of terminal wealth are taken as desirable and undesirable outputs, respectively. We construct different evaluation models under the fuzzy portfolio framework. The relationships among the evaluation model based on a real frontier, the diversification model and the DEA model are investigated. We show the convergence of the diversification and DEA models under the fuzzy theory framework. Some simulations as well as empirical analysis are presented to further verify the effectiveness of the proposed models. Finally, we check the robustness of the evaluation results by using the bootstrap re-sampling approach.

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.

Evaluation of Faculties by DEA-ANP Hybrid Algorithm of Chapter

2017 ◽  
pp. 138-183
Author(s):  
Elahe Shariatmadari Serkani
Keyword(s):  
Decision Making ◽  
Hybrid Algorithm ◽  
Subjective Evaluation ◽  
Research Performance ◽  
Analytic Network Process ◽  
Integrated System ◽  
Management Technique ◽  
Data Envelopment ◽  
Network Process ◽  
Multi Attribute Decision Making

One of the fundamental issues facing universities, research centers and institutes of higher education is the absence of an integrated system for performance evaluation. Data Envelopment Analysis (DEA) is a mathematical and management technique for evaluation of Decision Making Units (DMUs) with multiple input and output. The original DEA does not perform full-ranking; instead, it merely provides classification into two groups: efficient and inefficient. Among the available multi-attribute decision-making methods only Analytic Network Process (ANP) can be used to evaluate performance systematically due to the dependencies and feedbacks caused by the mutual effects of the criteria. The DEA-ANP hybrid algorithm, is designed to eliminate the disadvantage of full-ranking in the DEA method, as well as the disadvantage of subjective evaluation in the ANP method. The goal of this chapter is measuring educational and research performance of seventeen faculties, for the academic year 2009-2010, by using the DEA-ANP hybrid algorithm.

Prioritizing Engineering Characteristics of Product-Service System Using Analytic Network Process and Data Envelopment Analysis

2010 ◽  
Author(s):  
Xiuli Geng ◽  
Xuening Chu ◽  
Deyi Xue ◽  
Zaifang Zhang
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Conceptual Design ◽  
Service System ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Product Service System ◽  
Engineering Characteristics ◽  
Product Service ◽  
Network Process

Product-service system (PSS) approach has emerged as a competitive strategy to impel manufacturers to offer a set of products and services as a whole. A new three-domain PSS conceptual design framework supporting engineering design methodology is proposed in this research. Identification of the critical parameters in these domains plays an important role. Engineering characteristics (ECs) in the functional domain, which include product-related ECs (P-ECs) and service-related ECs (S-ECs), are identified by translating customer requirements (CRs) in the customer domain. Quality function deployment (QFD) is used to implement this translation process. Prioritizing ECs is a crucial issue in achieving the optimal PSS planning. First, to consider complex dependency relationships between and within CRs, P-ECs and S-ECs, the analytic network process (ANP) approach is integrated in QFD to determine the initial importance weights of ECs. Second, the data envelopment analysis (DEA) approach is applied to adjust the initial weights of ECs considering requirements of the manufacturers. In order to deal with the vagueness, uncertainty and diversity in decision-making, the fuzzy set theory and group decision-making technique are used in the supermatrix approach of ANP in the first phase. A case study is carried out to demonstrate the effectiveness of the developed prioritizing approach for ECs in PSS conceptual design.

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