Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry

2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Content Type ◽  
Shoe Industry ◽  
Sport Shoe ◽  
Network Process ◽  
Quantitative Basis

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

The distribution strategy selection for an e-tailer using a hybrid DANP VIKOR MCDM model

2019 ◽  
Vol 26 (2) ◽  
pp. 395-433 ◽  
Author(s):  
Rohit Titiyal ◽  
Sujoy Bhattacharya ◽  
Jitesh J. Thakkar
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Major Influence ◽  
Strategy Selection ◽  
Vikor Method ◽  
Content Type ◽  
Distribution Strategy ◽  
Network Process ◽  
Decision Making Framework ◽  
External Characteristics

Purpose The purpose of this paper is to apply a multi-criteria decision-making (MCDM) framework to evaluate distribution strategies for an e-tailer. An application of MCDM method, the hybrid DANP–VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) model, is used for e-tailers’ distribution strategy evaluation. The choice of distribution strategies under various dimensions is evaluated. Design/methodology/approach The authors used a hybrid MCDM model to solve the decision-making framework, which combines Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based analytic network process and VIKOR method. Data were collected from the experts (e-tail manager, logistics manager, operations manager and distribution center (DC) manager) using two questionnaires, first for the influential relationship among the criteria and dimensions and second for a performance rating of each alternative (distribution strategies) against each criterion. Findings DANP with VIKOR method prioritizes the distribution strategies in the following order: DC shipment, drop shipment, click and collect, store shipment and click and reserve. Performance gap was calculated based on the VIKOR method to provide distribution strategies to an e-tailer under different situations. The authors infer that in developing country, product characteristics and transportation have a major influence on deciding the distribution strategy. Practical implications Decision-making framework will provide e-tail mangers a knowledge-based understanding to select the distribution strategy under the different situations related to the performance, product, e-tailer and external characteristics for smooth order fulfillment process. The insights developed by this research provide a framework for rational decision making in distribution strategy selection in e-business. Originality/value This is the first kind of a study which offers a decision framework for e-tail managers on how to choose distribution strategies under different situations which are related to the performance, product, e-tailer and external characteristics.

Assessment of supplier quality performance of computer manufacturing industry by using ANP and DEMATEL

2015 ◽  
Vol 27 (1) ◽  
pp. 122-134 ◽  
Author(s):  
Hsiu Yuan Hu ◽  
Shao-I Chiu ◽  
Tieh-Min Yen ◽  
Ching-Chan Cheng
Keyword(s):  
Manufacturing Industry ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Integrated Model ◽  
Performance Rating ◽  
Quality Performance ◽  
Content Type ◽  
Network Process ◽  
Relationship Of ◽  
The Impact

Purpose – The purpose of this paper is to establish an integrated model of Analytic Network Process (ANP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL), to assist enterprises to process supplier quality performance rating and comparison and find the core improvement direction to create the value of all supply chain members. Design/methodology/approach – This study used the integrated model to process supplier quality performance rating and comparison, which not only improved the order-winners and qualifiers and continued to increase supplier quality performance, but resolved the complex and difficult cause-effect relation issue to find out core improvement items. The cases of Taiwanese industrial computer manufacturers were used to describe the application and benefits of this methodology. Findings – The results recommended that the improvement item of supplier A shall focus on design and quality conformance. The recommended improvement item and order for supplier B is design, delivery reliability and delivery speed. This study established ANP and DEMATEL evaluation models, and expanded the application field in the supplier performance evaluation. Originality/value – The ANP model is used to calculate the importance of the evaluation criteria, and the DEMATEL method is introduced to consider the impact of the casual relationship of evaluation items and to adjust the importance of the evaluation item, and to solve the complex and difficult practical causation issue.

scholarly journals A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1597
Author(s):  
Chun-Ho Chen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Building Materials ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Topsis Method ◽  
Entropy Weight ◽  
Suitable Alternative ◽  
Multi Criteria Evaluation ◽  
Network Process

This article will tell you how to combine “entropy” in the model to reduce the bias of multi-criteria evaluation. Subjective weights are usually determined by decision makers based on their professional background, experience and knowledge, and other factors. The objective weight is obtained by constructing an evaluation matrix of the information based on the actual information of the evaluation criteria of the scheme, and obtained through multi-step calculations. Different decision-making methods are based on different weight types. Considering only one of the two weights often leads to biased results. In addition, in order to establish an effective supply chain, buyers must find suitable merchants among suppliers that provide quality products and/or services. Based on the above factors, it is difficult to choose a suitable alternative. The main contribution of this paper is to combine analytic network process (ANP), entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to construct a suitable multi-criteria decision (MCDM) model. By means of ANP-entropy weights to extend the TOPSIS method, ANP-entropy weights are used to replace subjective weights. A supplier selection decision-making model based on ANP-entropy TOPSIS is proposed. At last, the sensitivity analysis shows that, taking the selection of building materials suppliers as an example, the hybrid ANP-entropy TOPSIS method can effectively select suitable suppliers.

Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach

2008 ◽  
Vol 12 (4) ◽  
pp. 13-22 ◽  
Author(s):  
Mohd. Nishat Faisal ◽  
Bilal Mustafa Khan
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Advertising Agency ◽  
Product Service ◽  
Proposed Model ◽  
Network Process ◽  
Product Personality ◽  
Mcdm Method

Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.

Maintenance strategy selection in a cement industry using analytic network process

2019 ◽  
Vol 26 (4) ◽  
pp. 509-525
Author(s):  
Mary C. Kurian ◽  
Shalij P.R. ◽  
Pramod V.R.
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Cement Industry ◽  
Superior Performance ◽  
Cement Plant ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Content Type ◽  
Network Process

Purpose The purpose of this paper is to demonstrate the application of analytic network process (ANP) as a methodology to make multiple criteria decision in selecting the most appropriate maintenance strategy for organizations with critical manufacturing requirements. Design/methodology/approach Maintenance strategy selection problems are multiple criteria decision making (MCDM) problems which consist of many qualitative and quantitative characteristics. For solving MCDM problems, the ANP is highly recommended as it considers the interdependent influences among and between the various levels of decision attributes. In this research paper, the ANP method is used to select the optimum maintenance strategy in a cement industry in India. Findings The ANP method can be used as an effective tool for the evaluation of possible alternatives in maintenance strategy decision problems by considering the dependency among the strategic factors. Research limitations/implications As illustrated in this paper, ANP method can also be used in other industries for adopting the optimum maintenance strategy to enhance the business performance by decreasing the losses associated with equipment effectiveness. Practical implications The major contribution of this research is the successful development of the comprehensive ANP model for the cement plant. ANP model incorporates diversified variables of the cement plant supply chain and includes their interdependencies. The proposed ANP model in this paper, not only guides the decision makers in the selection of the best services but also enables them to visualize the impact of various criteria in the arrival of the final solution. Social implications The model can be extended to certain other manufacturing sectors as the future scope of research and may assist in obtaining a clear idea regarding the status of current maintenance strategies. It should be carried out with a larger number of firms in India focusing on small and medium firms to confirm these results and reinforce their applicability to these kinds of firms. Studies of such a nature would help in identifying successful organizational factors or successful maintenance practices that lead to superior performance. Originality/value This paper explores the value of implementing ANP as a decision making method in maintenance strategy, which is currently not a prevalent method.

Towards lean warehouse: transformation and assessment using RTD and ANP

2016 ◽  
Vol 65 (4) ◽  
pp. 571-599 ◽  
Author(s):  
Sanjay Sharma ◽  
Bhavin Shah
Keyword(s):  
Decision Making ◽  
Team Building ◽  
Analytic Network Process ◽  
Continuous Assessment ◽  
Manufacturing Firm ◽  
Content Type ◽  
Lean Transformation ◽  
Network Process ◽  
Enterprise Level ◽  
Practical Validation

Purpose – The purpose of this paper is to represent a unique combined Real time Delphi (RTD) – analytic network process (ANP) approach considering efficient decision making with practical validation. Design/methodology/approach – An ANP model encounters invisible relationship and interdependency among qualitative and quantitative criteria for assessment. RTD supports continuous assessment and improvement in team building, modeling, developing, implementing and validating the procedure. To illustrate practical validation of the model, the authors apply it in a manufacturing firm. A case illustrating the model, finds improved results and judgments followed by conclusion. Findings – A case illustrating the model, finds improved results and judgments. This model improves warehouse performance by integrating lean and people issues. The outcome results in an efficient decision making and consensus judgments. It also fosters high trust and coordination level among people in warehouse. Originality/value – Previous studies have assessed leanness either at enterprise or manufacturing level. As lean transformation and assessment both are continuous and long-term procedure, first the concept should apply to single function and should lead toward enterprise level. A web-based approach and multi criteria decision-making techniques like analytic hierarchy process, and ANP had been applied individually to measure leanness at enterprise level. Because of the warehouse contributing significantly to the total wastes and costs for an organization, such operations are considered presently.

Supplier evaluation with order allocation in mega-projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davoud Yadegari ◽  
Soroush Avakh Darestani
Keyword(s):  
Decision Making ◽  
Reliability And Validity ◽  
Analytic Network Process ◽  
Supplier Evaluation ◽  
Content Type ◽  
Analysis Techniques ◽  
Measurement Tools ◽  
Network Process ◽  
Future Work

Purpose The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders to suppliers in the supply chain for mega-projects. Design/methodology/approach By using an integrated model (based on fuzzy analytic network process), suppliers are selected and the appropriate amounts are allocated to them in mega-projects. Initially, a hierarchical model of the research method was introduced. Then, the results on reliability and validity analysis of research measurement tools were presented. Finally, prioritization and allocation of orders to suppliers, with a case study of Iran Mall project, was carried out using Decision Making Trial and Evaluation Laboratory (DEMATEL) and analytic network process (ANP). T-test was used to evaluate the research hypotheses. Findings The findings were examined against conventional numerical analysis techniques. Finally, implication and recommendations for future work were presented. Originality/value The originality of this work is about using multi-criteria decision-making techniques for evaluating suppliers in mega-projects.

Excellence criteria of services supply chain in management consulting institutes of Iran

2018 ◽  
Vol 9 (1) ◽  
pp. 42-65 ◽  
Author(s):  
Hadi Balouei Jamkhaneh ◽  
Abdol Hamid Safaei Ghadikolaei ◽  
Mehrdad Madhoushi ◽  
Mahmood Yahyazadehfar
Keyword(s):  
Supply Chain ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Future Research ◽  
Management Consulting ◽  
Content Type ◽  
Chain Processes ◽  
Fuzzy Delphi ◽  
Network Process ◽  
The Right

Purpose The purpose of this study was to identify the excellence criteria of services supply chain (SSC) in Iran and the relationship between them and the importance of each criterion. Design/methodology/approach In this paper, after reviewing the principles and evaluating models of SSCs, using the fuzzy Delphi method, the criteria for excellence in the supply chain processes were identified. Then, the relationships between these criteria and their significance were evaluated using decision-making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytic network process methods. Findings The results show that 19 evaluation criteria have been identified in Iran in accordance with the SSC process. These criteria were classified according to their nature and based on the Deming Excellence Model and ISO 9004 standards in four areas: Plan, Do, Check and Act. In addition, the Act dimension with the weight of 0.275 has the highest importance and the Plan dimension with the weight of 0.219 has the lowest importance. Practical implications This study attempted to identify appropriate criteria for SSC processes in management consulting firms by examining supply chain assessment models to provide the managers with the right understanding of this industry for performance assessment so that they have a better knowledge of supply chain processes. Originality/value The results will be useful for managers to understand the SSC and the ways of SSC excellence in a service organization. This research is a first step for evaluating SSC performance of management consultancy institutes. In fact, after the identification of SSC processes and evaluation criteria, designing a mechanism for the evaluation of the performance of SSCs can be a subject for future research.

scholarly journals An integrated ANP-ELECTRE III decision model applied to eco-friendly car selection

2021 ◽  
Vol 9 ◽  
Author(s):  
Ahmad Mumani ◽  
◽  
Ghazi M. Magableh ◽  
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Green Energy ◽  
Electre Iii ◽  
Network Process ◽  
The Many ◽  
Energy Options ◽  
Different Levels

The number of green energy options in different fields is growing because of the need for reducing energy consumption and eliminating gas emission. One of these options is the use of eco-friendly cars produced by various manufacturers. Given the many available options and conflicting evaluation criteria, evaluation of such options becomes complex, and different multi-criteria decision-making (MCDM) approaches have been used to select the most suitable car in terms of eco-friendly car selection. Previous research has been somewhat limited with respect to consideration of interdependencies between evaluation criteria and multi-levels of preference. This paper proposes a new integrated MCDM approach with the capability for considering interdependent criteria for eco-friendly car evaluation and different levels of preference. An analytic network process (ANP) will be used to evaluate the levels of importance of interdependent criteria, and ELECTRE III will be modeled to include thresholds of preference. The introduced model, based on twenty-eight evaluation criteria, was demonstrated in a case study dealing with five alternative electric and hybrid cars. The results from this model were compared to a traditional decision-making method and better results were obtained from the model. The model can help users make proper decisions regarding their future car options in a comprehensive manner. Sensitivity analysis showed the robustness of the model under different setups.

A novel hybrid MCDM approach for outsourcing supplier selection

2016 ◽  
Vol 11 (2) ◽  
pp. 536-559 ◽  
Author(s):  
Maedeh Rezaeisaray ◽  
Sadoullah Ebrahimnejad ◽  
Kaveh Khalili-Damghani
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Content Type ◽  
Dea Model ◽  
Qualitative And Quantitative ◽  
Network Process ◽  
Criteria Weights ◽  
Practical Implications

Purpose The purpose of this paper is to determine the criteria weights of outsourcing and their key role in ranking outsourcing suppliers. Design/methodology/approach A new hybrid multi-criteria decision-making approach merges three tools, namely, decision making trial and evaluation (DEMATLE), fuzzy analytic network process (FANP) and ordinal/cardinal data envelopment analysis (DEA) model. Afterwards, experts’ opinions were gathered from a Pipe and Fittings company. Finally, their opinions were incorporated in three-stage approach for outsourcing suppliers’ selection. Findings The findings of this study show that among the selective criteria for outsourcing, business development, focus on basic activities and order delays are the three most important criteria. Also, the proposed approach ranks suppliers to facilitate decision making for selection. Research limitations/implications The number of suppliers, selection criteria and the number of members of the respondents’ team have been identified as some of the limitations of the present study. Practical implications The study has significant and practical implications for the managers and for the organizations which have to choose top suppliers, particularly in the case of dealing with numerous and qualitative/quantitative criteria. Originality/value This paper proposed a new three-stage approach that incorporates outputs of previous as inputs of next stage to increasing results accuracy. Also, it showed that by incorporating results of FANP method into DEA model, key role of experts’ opinions as a qualitative and quantitative criteria can be caused by increasing flexibility of decision process.

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