A hybrid approach for supplier selection based on revised data envelopment analytic hierarchy process

2018 ◽  
Vol 31 (4) ◽  
pp. 478 ◽  
Author(s):  
Remica Aggarwal ◽  
Sanjeet Singh
Keyword(s):  
Analytic Hierarchy Process ◽  
Supplier Selection ◽  
Hybrid Approach ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Supporting decision-making in service supplier selection using a hybrid fuzzy extended AHP approach

2017 ◽  
Vol 23 (1) ◽  
pp. 196-222 ◽  
Author(s):  
Giustina Secundo ◽  
Donato Magarielli ◽  
Emilio Esposito ◽  
Giuseppina Passiante
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Hybrid Approach ◽  
High Tech ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process

Purpose Service supplier selection is a multi-criteria decision-making (MCDM) problem assuming a strategic role for the competitiveness of high-tech manufacturing companies. Nevertheless, especially for service quality evaluation, there is little empirical evidence of the practical usefulness of MCDM methodologies. Aiming to cover this gap between theoretical approaches and empirical applications, the purpose of this paper is to propose a fuzzy extended analytic hierarchy process (FEAHP) approach for service supplier evaluation. Design/methodology/approach A hybrid approach which combines some of the strengths of the analytic hierarchy process (AHP) and of the fuzzy set theory is presented, as organized into five steps. A case study is used to evaluate the applicability in a real company context. Findings The usability of the approach is demonstrated in an aerospace company for solving the supplier selection problem of a business software whose applications are still in infancy: a Test Data Management System (TDMS). The illustrative application contains both “general” criteria to be used for other service supplier selection contexts as well as service-specific criteria related to software selection. Research limitations/implications Even if the application regards the selection of a software supplier, the methodology can be generically extended to other services’ selection in complex manufacturing industries through the personalization of some criteria. Practical implications Implications can be derived both for business managers involved into the decision-making process and for suppliers identifying the most promising features of software quality. Originality/value The originality consists in the combination into a hybrid approach of the strong points of the AHP with the fuzzy set; the inclusion of multiple perspectives of decision criteria for service supplier selection, basically the “software product” and “supplier” ones; a real empirical application to test and demonstrate the efficacy and the practical utility of the proposed approach.

Supplier Selection in B2B Manufacturing Commerce Using AHP-DEA

2011 ◽  
Vol 323 ◽  
pp. 23-27
Author(s):  
Xiao Lin Pan ◽  
Ying Tian
Keyword(s):  
Data Envelopment Analysis ◽  
Analytic Hierarchy Process ◽  
Supplier Selection ◽  
Data Envelopment ◽  
Process Data ◽  
Linguistic Terms ◽  
Analytic Hierarchy ◽  
Numerical Example ◽  
Dea Method ◽  
Hierarchy Process

Supplier selection is a critical and demanding task for companies that participate in B2B manufacturing e-commerce. In this paper, we propose anintegrated analytic hierarchy process- data envelopment analysis (AHP-DEA) for multiple criteria supplier selection. The proposed AHP–DEA methodology uses the AHP to determine the weights of criteria, the dataenvelopment analysis (DEA) method to determine the values of the linguistic terms. A numerical example demonstrates the application of the proposed method.

A Hybrid Approach using the Bees Algorithm and Fuzzy-AHP for Supplier Selection

2016 ◽  
pp. 171-194 ◽  
Author(s):  
Baris Yuce ◽  
Ernesto Mastrocinque
Keyword(s):  
Analytic Hierarchy Process ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Fuzzy Analytic Hierarchy Process ◽  
Bees Algorithm ◽  
Type Model ◽  
Analytic Hierarchy ◽  
Optimum Order ◽  
Hierarchy Process

In this chapter, a new hybrid approach combining the Fuzzy Analytic Hierarchy Process (AHP) and the Bees Algorithm is proposed in order to solve the supplier selection problem. The Fuzzy Analytic Hierarchy Process is used to determine the importance weight of each criterion and sub-criterion considered for the supplier selection, which are quality, cost, service level, supplier profile and risk. These weights are utilized in a mathematical model to determine the optimum order level of each row material from each supplier. The model considers capacity, demand, on-time delivery, quality and bill of materials. To determine the optimum order levels, the Bees Algorithm is applied to optimize this NP-hard type model under the constraints. The results showed that the Bees Algorithm performed better than Genetic Algorithm during the optimization stage.

scholarly journals Research on Supplier Selection of Prefabricated Building Elements from the Perspective of Sustainable Development

2021 ◽  
Vol 13 (11) ◽  
pp. 6080
Author(s):  
Yinghui Song ◽  
Junwu Wang ◽  
Feng Guo ◽  
Jiequn Lu ◽  
Sen Liu
Keyword(s):  
Sustainable Development ◽  
Analytic Hierarchy Process ◽  
Supplier Selection ◽  
Equation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Analytic Hierarchy ◽  
Building Element ◽  
Hierarchy Process ◽  
Prefabricated Building

Prefabricated building is an efficient building mode. Compared with the traditional building mode, the prefabricated building has advantages of less pollution, high construction efficiency, being more labor-saving, and economy, which is in line with China’s sustainable development strategy. This paper proposes a supplier selection evaluation model based on the mechanism equation model (SEM) and intuitionistic fuzzy analytic hierarchy process (IFAHP). Based on a detailed literature review, 300 structured questionnaires were distributed to the relevant enterprises, and an evaluation index system of prefabricated building element suppliers was built. With the fitting and modification process using a structural equation model, and assist of a path factor, an evaluation index system for evaluating the prefabricated building element suppliers was finally obtained. Finally, the intuitionistic fuzzy analytic hierarchy process was used to establish a selection model of prefabricated element suppliers, and the prefabricated element suppliers of Shuangyashan prefabricated construction projects were analyzed as a case study. The results show that the following factors have the most significant impact on supplier selection (from high to low): quality, economy, long-term cooperation, after-sales, and transportation. This study had a comprehensive consideration of the influencing factors existing in the whole selection process and should provide a valuable reference for the sustainable development of prefabricated construction engineering.

Utilizing analytic hierarchy process for improved decision making within supply chains

2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson
Keyword(s):  
Analytic Hierarchy Process ◽  
Global Economy ◽  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Data Availability ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Device Manufacturer ◽  
Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

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