Integrated multi-criteria decision-making (MCDM) method combined with decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) in food supplier selection

2012 ◽  
Vol 6 (12) ◽  
Author(s):  
Jung-Lu Shen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Mcdm Method

Adoption of Online Marketing for Service SMEs with Multi-Criteria Decision-Making Approach

2020 ◽  
pp. 356-374
Author(s):  
Lanndon Ocampo ◽  
Rosalin Merry Berdin Alarde ◽  
Dennis Anthony Kilongkilong ◽  
Antonio Esmero
Keyword(s):  
Decision Making ◽  
Small And Medium Enterprises ◽  
Analytic Network Process ◽  
Global Market ◽  
Service Industries ◽  
Online Marketing ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Mcdm Method ◽  
Medium Enterprises

This chapter attempts to fill in the gap of evaluating the viability of adopting online marketing for small and medium enterprises (SMEs) in service industries. As SMEs are generally characterized by shortage of resources, the use of online marketing strategies is apparently difficult. However, the current landscape of competition among SMEs in a global market economy prompts the necessity of adopting online marketing. With these, the decision-making process of SMEs in this area becomes complex and the decisions must integrate complex and interrelating criteria and constructs in order to provide a more holistic solution. Thus, this work adopts a multi-criteria decision-making (MCDM) method particularly the analytic network process (ANP) in order to evaluate the practicability of using online marketing for service SMEs. It becomes highly relevant as it provides significant insights to decision-makers in SMEs regarding the use of online marketing strategy. The contribution of this chapter lies in the application of MCDM in evaluating viability of online marketing in service SMEs.

MCDM Tools Application for Selection of Suppliers in Manufacturing Industries Using AHP, Fuzzy Logic and ANN

2015 ◽  
Vol 19 ◽  
pp. 130-137 ◽  
Author(s):  
S. Nallusamy ◽  
D. Sri Lakshmana Kumar ◽  
K. Balakannan ◽  
P.S. Chakraborty
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Supplier Selection ◽  
Manufacturing Industry ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Artificial Neural Network Ann ◽  
The Right ◽  
Selection Of

In manufacturing industry selection of right supplier (s) is one of the challenging activities. Supplier selection is the method of determining the appropriate suppliers to provide the right quality of products, at the right quantities, at the right price in the right time. During the last ten years based on the changes in the business sector, Multi-Criteria Decision Making (MCDM) has been one of the fastest growing areas. By choosing the best supplier, the companies can increase their productivity and also competitive advantage. In the earlier period, several methods have been proposed to solve the supplier selection problem, such as the linear weighting methods, the analytic network process, total cost approaches and mathematical programming techniques. Although the linear programming methods are simple, they are not accurate and more variations exist. So the latest multi-criteria decision making tools such as Analytical Hierarchy Process (AHP), Fuzzy Logic (FL) and Artificial Neural Network (ANN) are deeply studied. While selecting the best supplier, many criteria are involved. The criteria may be different for different approach. The decision makers always express their preferences on alternatives or on the attributes of supplier which can be used to help rank the supplier and choose the enviable one. In this article, application of fuzzy logic and AHP are discussed with case-studies and also presented the discussion about implementation of ANN for supplier selection.

Adoption of Online Marketing for Service SMEs with Multi-Criteria Decision-Making Approach

2017 ◽  
pp. 226-243 ◽  
Author(s):  
Lanndon Ocampo ◽  
Rosalin Merry Berdin Alarde ◽  
Dennis Anthony Kilongkilong ◽  
Antonio Esmero
Keyword(s):  
Decision Making ◽  
Small And Medium Enterprises ◽  
Analytic Network Process ◽  
Global Market ◽  
Service Industries ◽  
Online Marketing ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Mcdm Method ◽  
Medium Enterprises

This chapter attempts to fill in the gap of evaluating the viability of adopting online marketing for small and medium enterprises (SMEs) in service industries. As SMEs are generally characterized by shortage of resources, the use of online marketing strategies is apparently difficult. However, the current landscape of competition among SMEs in a global market economy prompts the necessity of adopting online marketing. With these, the decision-making process of SMEs in this area becomes complex and the decisions must integrate complex and interrelating criteria and constructs in order to provide a more holistic solution. Thus, this work adopts a multi-criteria decision-making (MCDM) method particularly the analytic network process (ANP) in order to evaluate the practicability of using online marketing for service SMEs. It becomes highly relevant as it provides significant insights to decision-makers in SMEs regarding the use of online marketing strategy. The contribution of this chapter lies in the application of MCDM in evaluating viability of online marketing in service SMEs.

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.

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.

A GMCDM approach with linguistic Z-numbers based on TOPSIS and Choquet integral considering risk preference

2020 ◽  
Vol 39 (3) ◽  
pp. 4285-4298
Author(s):  
Ran Tao ◽  
Fuyuan Xiao
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Choquet Integral ◽  
Risk Preference ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Uncertain Information ◽  
Human Knowledge ◽  
Mcdm Method ◽  
Evaluation Information

Group multi-criteria decision-making (GMCDM) is an important part of decision theory, which is aimed to assess alternatives according to multiple criteria by collecting the wisdom of experts. However, in the process of evaluating, because of the limitation of human knowledge and the complexity of problems, an efficient GMCDM approach under uncertain environment still need to be further explored. Thus, in this paper, a novel GMCDM approach with linguistic Z-numbers based on TOPSIS and Choquet integral is proposed. Firstly, since linguistic Z-numbers performs better in coping with uncertain information, it is used to express the evaluation information. Secondly, TOPSIS, one of the most useful and systematic multi-criteria decision-making (MCDM) method, is adopted as the framework of the proposed approach. Thirdly, frequently it exists interaction between criteria, so Choquet integral is introduced to capture this kind of influence. What’s more, viewing that decision makers (DMs) show different preferences for uncertainty, the risk preference is regarded as a vital parameter when calculating the score of linguistic Z-numbers. An application in supplier selection is illustrated to demonstrate the effectiveness of the proposed approach. Finally, a further comparison and discussion of the proposed GMCDM method is given.

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

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.

Application of Fuzzy Analytic Network Process and TOPSIS Method for Material Supplier Selection

2017 ◽  
Vol 728 ◽  
pp. 411-415 ◽  
Author(s):  
Nguyen Thanh Phong ◽  
Van Nguyen Phuc ◽  
To Thuy Hoang Le Nguyen Quyen
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Construction Projects ◽  
Significant Proportion ◽  
Analytic Network Process ◽  
Quantitative Model ◽  
Topsis Method ◽  
Construction Firms ◽  
Network Process ◽  
Fuzzy Analytic Network Process

Materials account for a significant proportion of engineering and construction projects budget. Therefore, selecting appropriate material supplier criteria is a critical economic decision, and it plays a significant role in the success of any engineering and construction firms. Traditional supplier evaluating decision-making methods are usually based on subjective opinions of experts, resulting in irrational and inappropriate decisions. This paper proposes a quantitative model for selecting a material supplier by using the Fuzzy Analytic Network Process and TOPSIS method. In this model, the material supplier selection criteria are weighted by using Group Fuzzy Analytic Network Process (GFANP). Then material suppliers are ranked using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The proposed decision-making model can provide a robust approach for solving material supplier selection problems.

scholarly journals AN INTEGRATED PICTURE FUZZY ANP-TODIM MULTI-CRITERIA DECISION-MAKING APPROACH FOR TOURISM ATTRACTION RECOMMENDATION

2019 ◽  
Vol 26 (2) ◽  
pp. 331-354 ◽  
Author(s):  
Chao Tian ◽  
Juan-juan Peng
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Distance Measure ◽  
Comparative Method ◽  
Analytic Network Process ◽  
Assessment Method ◽  
Multi Criteria Decision Making ◽  
Fuzzy Distance ◽  
Network Process ◽  
Ranking Of Alternatives

In this paper, the picture fuzzy score and accuracy function are first defined. Then, a corresponding comparative method between two picture fuzzy numbers (PFNs) is developed. Next, a novel normalized picture fuzzy distance measure between two PFNs is disclosed, and part of the characteristics of the proposed distance measure are discussed. Afterwards, on the basis of the analytic network process (ANP) and an Acronym in Portuguese of Interactive and Multi-Criteria Decision-Making (TODIM) methods, an integrated ANP-TODIM approach is developed to resolve multi-criteria decision-making (MCDM) where the weights of the criteria are fully unknown. We use ANP approach to decide the weights of criteria on the basis of expert mean assessment method, and TODIM is utilized to obtain the ranking of alternatives. Finally, an illustrative example of an optimal tourism attraction recommendation is provided to testify applicability of the developed decision-making method and prove that its results are effective and reasonable.

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