Fuzzy Multi-Objective Supplier Selection considering Production Requirements in Resilient Supply Chain

2017 ◽  
Vol 10 (3) ◽  
pp. 65-83 ◽  
Author(s):  
Niloofar Katiraee ◽  
Babak Shirazi ◽  
Hamed Fazlollahtabar
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Large Scale ◽  
Optimal Order ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Practical Usefulness ◽  
Hierarchy Process ◽  
Resilient Supply Chain

One of the substantial concerns in any large scale enterprises is the process of evaluating, selecting and improving suppliers due to the involvement of many uncontrollable and unavoidable factors. To address this issue in industry, suppliers are selected in the context of a resilient supply chain since it is one way to overcome disruptions. Selection of suppliers involves a variety of both qualitative and quantitative attributes. This research proposes the five main criteria of supplier selection which are chosen based on vulnerable areas and production requirements to develop flexibility in procuring material. In order to select appropriate suppliers for optimal order allocation the fuzzy multi-objective linear programming (FMOLP) is proposed which overcomes the vagueness of the information. Also to calculate the importance of each criterion fuzzy analytic hierarchy process (FAHP) is used. Finally, the practical usefulness of the proposed method is ascertained through a case study in steel industry.

scholarly journals Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator

2017 ◽  
Vol 14 (3) ◽  
pp. 428 ◽  
Author(s):  
Rodrigo Barbosa de Santis ◽  
Leonardo Golliat ◽  
Eduardo Pestana de Aguiar
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Operations Management ◽  
Supplier Selection ◽  
Standard Procedure ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
And Performance ◽  
Hierarchy Process

The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.

IMPROVING EFFECTIVENESS OF SUPPLY CHAIN BY SELECTING AN APPROPRIATE SUPPLIER: AN ANALYTIC HIERARCHY PROCESS APPROACH

2010 ◽  
Vol 09 (02) ◽  
pp. 129-144 ◽  
Author(s):  
AVINASH D. SARODE ◽  
V. K. SUNNAPWAR ◽  
P. M. KHODKE
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Supplier Selection ◽  
Supply Chain Design ◽  
Decision Models ◽  
Analytic Hierarchy ◽  
Extensive Analysis ◽  
Efficiency And Effectiveness ◽  
Hierarchy Process ◽  
Selection Of

The supply chain is an important element for the development of all industries. It can improve efficiency and effectiveness of product transfer and information sharing between complex hierarchies of all the tiers. Supplier selection is an important step in the supply chain design. In many existing decision models for supplier selection, only quantitative criteria are considered. However, supplier selection is a multi-objective problem containing quantitative as well as qualitative factors. Hence, this paper attempts to demonstrate the application of the Analytic Hierarchy Process (AHP) to overcome the above-mentioned problem. From an extensive analysis of the results, it is evident that selection of an appropriate supplier would result in improving effectiveness of supply chain.

An Integrated AHP-QFD-Based Compromise Ranking Model for Sustainable Supplier Selection

2020 ◽  
pp. 32-54 ◽  
Author(s):  
Morteza Yazdani ◽  
Prasenjit Chatterjee ◽  
Ali Ebadi Torkayesh
Keyword(s):  
Supplier Selection ◽  
Quality Function Deployment ◽  
Analytic Hierarchy ◽  
Business Decisions ◽  
Industrial Organizations ◽  
Sustainable Supplier Selection ◽  
Integrated Decision Making ◽  
Decision Making Model ◽  
Hierarchy Process

Sustainability in industrial organizations has become a predominant concept in the 21st century due to environmental regulations, economic importance, and social obligations. In this context, sustainable supplier selection plays an epochal role for taking strategic business decisions. So, a systematic approach is required to deal with the sustainable factors. By integrating the three pillars of sustainability, namely economic, environmental, and social factors, this chapter presents an integrated model for supplier selection from a sustainability perspective. The proposed framework combines analytic hierarchy process (AHP) and quality function deployment (QFD) methods to deal with the sustainable criteria. Finally, suppliers are ranked using VIse Kriterijumska Optimizacija kompromisno Resenja (VIKOR) method. The proposed framework is used to analyze a case study of a dairy company, but it can also be implemented for sustainable supplier selection in any industries. The study brings an artefact for managers to effectively analyze suppliers with the integrated decision-making model.

scholarly journals A Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm in Distribution Center Location Selection: A Case Study in Agricultural Supply Chain

Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 53
Author(s):  
Phan Thuy Kieu ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen ◽  
Thanh Phong Ho
Keyword(s):  
Supply Chain ◽  
Supply And Demand ◽  
Distribution Center ◽  
Compromise Solution ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Proposed Model ◽  
Hierarchy Process ◽  
Agricultural Supply

Logistics is an important service sector, contributing to improving the competitiveness of the economy. Therefore, along with increasing the application of technology and effective business models, it is necessary to increase the connectivity of the infrastructure systems of industrial parks, roads, and seaports of regions and the country. Over the past decades, Vietnamese businesses have been step-by-step going through many stages from production, packaging, quality, hygiene, and safety to grasping new stages in the domestic and global value chain. In many industries, businesses are increasing the content of their own designs, exploiting brands, and approaching consumption networks in the target market. The role of the distribution center is becoming more and more important in ensuring a seamless and flawless supply chain. In particular, the distribution center is the most sensitive contact point between supply and demand in each enterprise. Therefore, the key mission of a distribution center is to reconcile supply and demand requirements. Distribution center location selection problems usually involve multiple quantitative and qualitative criteria that the decision maker must take into account for assessing the symmetrical impact of the criteria to reach the most accurate result. In this study, the authors propose a hybrid MCDM model based on Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Combined Compromise Solution (CoCoSo) Algorithm to support the distribution location selection problem of perishable agricultural products. The proposed model is then applied to the numerical case study of the sweet potato product of the Mekong Delta region of Vietnam to demonstrate the feasibility of the model. The contribution of this research is to propose an MCDM model for improving the efficiency of the agricultural supply chain through selecting a location distribution center. This proposed model can be applied to the agricultural supply chain around the world.

scholarly journals Port selection based on customer questionnaire: a case study of German port selection

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Yisong Lin ◽  
Xuefeng Wang
Keyword(s):  
Selection Criteria ◽  
Large Scale ◽  
Shipping Industry ◽  
Analytic Hierarchy ◽  
Evaluation Scheme ◽  
Port Selection ◽  
Weight Calculation ◽  
New Research ◽  
Hierarchy Process

AbstractA new research idea regarding port selection concerns customer-oriented, rather than product-oriented, thinking. Through investigation and interviews with over 280 active customers in the global shipping industry, port selection criteria were proposed, and an evaluation scheme based on the responses to a questionnaire survey is compared with a scheme based on the weight calculation of the analytic hierarchy process. The results indicate that due to different priorities between customers and container carriers, port selection is sometimes inconsistent. Against the background of deployment of large-scale vessels, over-capacity has become normal in the industry; this study has great practical value for the whole industry.

Multi-criteria supplier selection model using the analytic hierarchy process approach

2016 ◽  
Vol 11 (1) ◽  
pp. 326-354 ◽  
Author(s):  
Vinod Yadav ◽  
Milind Kumar Sharma
Keyword(s):  
Analytic Hierarchy Process ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Selection Model ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Proposed Model ◽  
Hierarchy Process

Purpose – The purpose of this paper is to propose a supplier selection model for an automobile company using analytic hierarchy process (AHP) approach. Supplier selection is now growing to be an important but complex issue, as it involves a large number of factors and decisions. These factors have complicated operational and financial implications. Design/methodology/approach – A case study of an Indian automobile company is used to illustrate and propose a supplier selection model using AHP approach. Findings – Key criteria of the supplier selection problem are identified based on the literature review and case study. Then, a model is proposed for supplier selection using AHP approach followed by a detailed sensitivity analysis. Practical implications – This paper contributes to supplier selection process, and points out the importance of supplier selection. It proposes a supplier selection model for an automobile industry which often faces heterogeneous supply environments. The proposed model provides key criteria for supplier selection in Indian context. This model may have high acceptability, where a large number of suppliers are available to supply the materials or provide the services. Originality/value – The proposed model can provide guidelines and directions for managers involved in purchasing function to effectively select suppliers on the basis of the identified criteria in the heterogeneous manufacturing environment.

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