Supplier selection based on evidence theory and analytic network process

2014 ◽  
Vol 230 (3) ◽  
pp. 562-573 ◽  
Author(s):  
Xiaoge Zhang ◽  
Yong Deng ◽  
Felix TS Chan ◽  
Andrew Adamatzky ◽  
Sankaran Mahadevan
Keyword(s):  
Supplier Selection ◽  
Evidence Theory ◽  
Analytic Network Process ◽  
Network Process

scholarly journals Developing and Applying a Selection Model for Corrugated Box Precision Printing Machine Suppliers

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 68
Author(s):  
Chin-Tsai Lin ◽  
Cheng-Yu Chiang
Keyword(s):  
Supplier Selection ◽  
Analytic Network Process ◽  
Selection Model ◽  
Selection Strategy ◽  
Modified Delphi ◽  
Commitment Cost ◽  
Network Process ◽  
High Investment ◽  
Good Reputation ◽  
Printing Machine

Corrugated box printing machines are precision equipment produced by markedly few manufacturers. They involve high investment cost and risk. Having a corrugated box precision printing machine (CBPPM) supplier with a good reputation enables a corrugated box manufacturer to maintain its competitive advantage. Accordingly, establishing an effective CBPPM supplier selection model is crucial for corrugated box manufacturers. This study established a two-stage CBPPM supplier selection model. The first stage involved the use of a modified Delphi method to construct a supplier selection hierarchy with five criteria and 14 subcriteria. In the second stage, an analytic network process was employed to calculate the weights of criteria and subcriteria and to determine the optimal supplier. According to the results, the five criteria in the model, in descending order of importance, are quality, commitment, cost, service attitude, and reputation. This model can provide insights for corrugated box manufacturers formulating their CBPPM supplier selection strategy.

scholarly journals Analytic network process in supplier selection: A case study in an electronic firm

2007 ◽  
Vol 31 (11) ◽  
pp. 2475-2486 ◽  
Author(s):  
Cevriye Gencer ◽  
Didem Gürpinar
Keyword(s):  
Supplier Selection ◽  
Analytic Network Process ◽  
Network Process

Application of fuzzy analytic network process for supplier selection in a manufacturing organisation

2011 ◽  
Vol 38 (1) ◽  
pp. 272-280 ◽  
Author(s):  
S. Vinodh ◽  
R. Anesh Ramiya ◽  
S.G. Gautham
Keyword(s):  
Supplier Selection ◽  
Analytic Network Process ◽  
Network Process ◽  
Fuzzy Analytic Network Process

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.

scholarly journals A structured framework for sustainable supplier selection using a combined BWM-CoCoSo model

2019 ◽  
Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
Prasenjit Chatterjee ◽  
Morteza Yazdani
Keyword(s):  
Supplier Selection ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Sustainable Supply Chain ◽  
Economic Significance ◽  
Industrial Organizations ◽  
Multi Criteria Evaluation ◽  
Proposed Model ◽  
Sustainable Supplier Selection ◽  
Network Process

Purpose – sustainability in industrial organizations is becoming one of the predominant concepts in the context of modern industrialization due to global warming, economic significance, and social awareness. These have prompted a huge concern toward sustainable supply chain management (SSCM) to be adopted and promoted as an innovative business model. Supplier evaluation and selection play a significant role in SSCM for taking appropriate procurement decisions. Research methodology – a hybrid MADM model based on Best Worst Method (BWM) and Combined Comprise Solution (CoCoSo) method. Findings – a case study in the steel industry is presented to demonstrate the effectiveness of the proposed approach. The results show the potentiality of the proposed model in resolving complex sustainability issues in the SCM environment. Research limitations – other weighting techniques like the analytic network process (ANP) and decision making trial and evaluation laboratory (DEMATEL) approaches can also be combined and performances can be compared. Practical implications – the proposed model can be used by the organizations to select the most appropriate suppliers who contribute to the movement of the SC towards sustainability. Originality/Value – a multi-criteria evaluation model has been proposed for solving a sustainable supplier selection problem while considering economic, environmental and social criteria simultaneously by integrating BWM-COCOSO methods

Suppliers Selection for Sazeh Gostar Saipa Co. Using a Combination Approach of Analytic Network Process and Goal Programming

2013 ◽  
Vol 4 (1) ◽  
pp. 14-34
Author(s):  
Hassan Farsijani ◽  
Mohsen Shafiei Nikabadi ◽  
Reza Malmir ◽  
Fatemeh Shakhsian
Keyword(s):  
Goal Programming ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Corporate Strategies ◽  
Top Managers ◽  
Network Process ◽  
Selection Decision ◽  
Selection For ◽  
Combination Approach

Strategic evaluation and supplier selection, or strategic supply, is a main subject of supply chain management. Strategic evaluation and supplier selection is a multi-criteria decision problem, considering both tangible and intangible criteria and organizations are seeking various and sometimes opposite objectives in purchasing from suppliers. As the increasing rivalry in Iran’s auto industry, producers and suppliers face several challenges. Sazeh Gostar Saipa Co., the main supplier of Saipa automobile maker firm, is not exempt of this norm. Top managers of the company believe that the best supplier selection for long-term cooperation is vital for the implementation of corporate strategies. In this paper, using decision technique of Analytic Network Process (ANP) and Base Overhead Cost Recovery (BOCR), 20 tangible and intangible operational and strategic criteria are considered in the supplier selection decision through a suggested methodology. Different organizations’ goals in purchasing from suppliers that are ranked in the previous stage are formulated to determine the amount of supply allocation to each supplier based on goals. The innovation aspect and main goal of the research are suggesting a methodology for selecting suppliers and determining the amount of allocated orders to them with combining ANP method, BOCR structure and goal programming in Sazeh Gostar Saipa Co.

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