The Selection of Sustainable Suppliers Using the Fuzzy MARCOS Method

2020 ◽  
Vol 01 ◽  
Author(s):  
Adis Puška ◽  
Željko Stević ◽  
Ilija Stojanović
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Supply Chain ◽  
Final Decision ◽  
Sustainable Supply Chain ◽  
Environmental Criteria ◽  
The Social ◽  
Decision Making Problem ◽  
Ethical Criteria ◽  
Selection Of

Background:: Selection of Sustainable Suppliers is a key term in sustainable supply chain management. This is the reason to choose the supplier who will support the company to implement sustainability in its business, especially in the supply chain. Objective:: The aim of this paper is to establish a new innovative model for decision-making on based on a fuzzy approach. Methods:: This decision-making problem is solved by applying multi-criteria decision-making, since there are several cri-teria according to which a decision should be made: economic, social and environmental criteria. In order to make the final decision on supply chain better and safer, the social criteria were modified in this paper, adding ethical criteria. The example with modified social criteria in this paper was shown on the example of the company "Voćar" Brčko, which deals with the production of food products. In this paper, the fuzzy Measurement Alternatives and Ranking according to COmpromise Solution method was used. Results:: The findings have shown that supplier A1 have the best results which were confirmed with the first sensitivity analysis. However, the second sensitivity analysis has shown that supplier A5 was better than supplier A1 in 14 scenarios. Due to these findings, no unanimous decision can be made about which supplier among the two in this case would contribute more. Conclusion:: This paper has shown that selection of sustainable suppliers is crucial for any company focused on the prin-ciples of sustainability in business. Moreover, this paper has shown that it is sometimes very difficult to select just one supplier.

scholarly journals A New Hybrid MCDM Model: Sustainable Supplier Selection in a Construction Company

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 353 ◽  
Author(s):  
Bojan Matić ◽  
Stanislav Jovanović ◽  
Dillip Kumar Das ◽  
Edmundas Kazimieras Zavadskas ◽  
Željko Stević ◽  
...  
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Supply Chain ◽  
Second Phase ◽  
Sustainable Supply Chain ◽  
Construction Company ◽  
Sustainable Supplier Selection ◽  
Product Assessment ◽  
Simple Additive Weighting ◽  
Selection Of

Sustainable development is one of the most important preconditions for preserving resources and balanced functioning of a complete supply chain in different areas. Taking into account the complexity of sustainable development and a supply chain, different decisions have to be made day-to-day, requiring the consideration of different parameters. One of the most important decisions in a sustainable supply chain is the selection of a sustainable supplier and, often the applied methodology is multi-criteria decision-making (MCDM). In this paper, a new hybrid MCDM model for evaluating and selecting suppliers in a sustainable supply chain for a construction company has been developed. The evaluation and selection of suppliers have been carried out on the basis of 21 criteria that belong to all aspects of sustainability. The determination of the weight values of criteria has been performed applying the full consistency method (FUCOM), while a new rough complex proportional assessment (COPRAS) method has been developed to evaluate the alternatives. The rough Dombi aggregator has been used for averaging in group decision-making while evaluating the significance of criteria and assessing the alternatives. The obtained results have been checked and confirmed using a sensitivity analysis that implies a four-phase procedure. In the first phase, the change of criteria weight was performed, while, in the second phase, rough additive ratio assessment (ARAS), rough weighted aggregated sum product assessment (WASPAS), rough simple additive weighting (SAW), and rough multi-attributive border approximation area comparison (MABAC) have been applied. The third phase involves changing the parameter ρ in the modeling of rough Dombi aggregator, and the fourth phase includes the calculation of Spearman’s correlation coefficient (SCC) that shows a high correlation of ranks.

Reporting on CSR and Ethical and Sustainable Management in Food Industry in Slovakia as an EU Member

2019 ◽  
pp. 199-219
Author(s):  
Renata Paksiova ◽  
Kornélia Lovciová
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Food Industry ◽  
Financial Information ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Disclosure Requirements ◽  
Self Sufficiency ◽  
The Social ◽  
Social Environmental

The food industry is an important sector in each country with regards to food self-sufficiency, and it is a subject of stricter monitoring compared to other sectors. Disclosure of non-financial information significantly compliments the image of each company and contributes very effectively to the decision making of their customers, not only from the supply chain. Interest in non-financial information as parts of CSR from the perspective of the ethical and sustainable supply chain management is increasing. In the social, environmental, and economic spheres, it is important to determine the specificities of food industry reporting in order to achieve sustainable development. The aim of this chapter is a theoretical analysis of the reporting of non-financial information according to their disclosure requirements in the food industry by enterprises in Slovakia and a quantitative analysis of their reporting in the structure of SK NACE for 2017 in the context of the ethics and sustainability. Slovakia has more requirements for company reporting in the annual report since 2017.

Environmental Criteria in a MCDM Context

2010 ◽  
pp. 74-92
Author(s):  
Ahmed Bufardi ◽  
Dimitris Kiritsis
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Life Cycle ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Reverse Supply Chain ◽  
Vacuum Cleaner ◽  
Environmental Criteria ◽  
Selection Of

This chapter addresses the main issues that are worth considering when using environmental criteria in a multiple criteria decision making (MCDM) context and provides some guidance for a proper and efficient use of environmental criteria in a MCDM context. Among the main issues considered in this chapter, we can mention the definition and representation of criteria, their weighting, and their selection. The relation of criterion to other notions such as attribute, objective, goal, and indicator is also explained. Regarding the environmental criteria, we emphasize their main characteristics and indicate how these characteristics can support the users in selecting appropriate MCDM methods. An illustrative example about the selection of the best scenario for the treatment of a vacuum cleaner at the end of its life cycle is given. It shows the type of reverse supply chain problems in which environmental criteria can be used to evaluate and compare alternatives.

scholarly journals INTEGRATING BWM AND ARAS UNDER HESITANT LINGUISTIC ENVIRONMENT FOR DIGITAL SUPPLY CHAIN FINANCE SUPPLIER SECTION

2019 ◽  
Vol 25 (6) ◽  
pp. 1188-1212 ◽  
Author(s):  
Huchang Liao ◽  
Zhi Wen ◽  
Lili Liu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Gradual Increase ◽  
Multiple Criteria Decision Making ◽  
Supply Chain Finance ◽  
Decision Making Problem ◽  
Decision Making Model ◽  
Fuzzy Linguistic ◽  
Selection Of

In the era of intelligence and informatization, digital supply chain finance (DSCF) has become one of the important trends in the development of supply chain finance. With the gradual increase of DSCF suppliers and various requirements of small and medium-sized enterprises for suppliers in providing financing services, selecting the most suitable DSCF supplier is of great significance for most small and medium-sized enterprises to expand reproduction and improve competitiveness. To address such a decision-making problem, this paper proposes a new multi-expert multiple criteria decision-making model by integrating the Best Worst Method (BWM) and Additive Ratio ASsessment (ARAS) method under the hesitant fuzzy linguistic environment, in which the hesitant fuzzy linguistic BWM method is applied to determine the weights of criteria while the hesitant fuzzy linguistic ARAS method is proposed to rank the candidate suppliers. A case study is given to demonstrate the procedure of the proposed method for the selection of optimal DSCF suppliers, which shows the feasibility of the proposed method. Finally, sensitivity analysis and comparative analyses are provided to testify the applicability and superiority of the proposed method.

scholarly journals Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 774
Author(s):  
Adis Puška ◽  
Miroslav Nedeljković ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Dragan Pamučar
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Asymmetric Information ◽  
Agricultural Production ◽  
Complete Information ◽  
Sustainable Supply Chain ◽  
Sustainability Criteria ◽  
Criteria Importance ◽  
Selection Of ◽  
Economic Criteria

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.

scholarly journals Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

Materials ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2084
Author(s):  
Raman Kumar ◽  
Rohit Dubey ◽  
Sehijpal Singh ◽  
Sunpreet Singh ◽  
Chander Prakash ◽  
...  
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Femoral Component ◽  
Human Life ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Biomedical Science ◽  
Human Beings ◽  
Weighted Sum Method ◽  
Selection Of

Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

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