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 COMBINING THE SUITABILITY-FEASIBILITY-ACCEPTABILITY (SFA) STRATEGY WITH THE MCDM APPROACH

2021 ◽  
Vol 19 (3) ◽  
pp. 579
Author(s):  
Sarfaraz Hashemkhani Zolfani ◽  
Ramin Bazrafshan ◽  
Parnian Akaberi ◽  
Morteza Yazdani ◽  
Fatih Ecer
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Multiple Criteria Decision Making ◽  
Target Market ◽  
Fish Market ◽  
Decision Making Problem ◽  
Criteria Weights ◽  
Cost Of Transportation ◽  
Selection Of

Suitability-Feasibility-Acceptability (SFA) is a fundamental tool for the development and selection of strategy. Any type of decision-making problem can be resolved by Multiple Criteria Decision Making (MCDM) methods. In this research, we explore the complexity of determining the proper goal market for the Chilean fish market. This study proposed a combined approach of SFA with MCDM methods in a real case study. The proposed structure helps to assign the best market for Chilean export fish to West Asia. Three countries (Saudi Arabia, the United Arab Emirates, and Oman) are selected as a target market in this region, and then related criteria are obtained from various sources. In order to develop a new market for the Chilean fishery industry, five major criteria, including the potential of a target market, region's economic attractiveness, consumption of the seafood, location, cost of transportation, and country risks, were selected based on the SFA framework. Calculating the criteria weights is performed by the Best-Worst (BWM) method, and ordering the alternatives is operated by Measurement Alternatives and Ranking according to compromise Solution (MARCOS) methods. The results showed that Oman is the best destination (importer) for the Chilean fish market (Salmon fish as the case).

Selecting Candidate Suppliers Using a Multiple Criteria Decision Making Model

2013 ◽  
Vol 694-697 ◽  
pp. 3472-3475 ◽  
Author(s):  
Amy H.I. Lee ◽  
He Yau Kang ◽  
Chun Yu Lin ◽  
Hsin Wei Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
High Tech ◽  
Supplier Integration ◽  
Network Process ◽  
Decision Making Model ◽  
Selection Of

High-tech firms are usually under a dynamically changing and fierce competitive environment these days. In order to survive in such an intensive competitive international market, a firm not only needs to manufacture outstanding products that meet the demands of its customers, it also needs to have a comprehensive supply chain management. To achieve the benefits of buyer-supplier integration, in terms of increased internal efficiency and profitability of the players in a supply chain, the identification of viable suppliers is a preliminary step that needs to be properly managed. Thus, to be cost competitive and to acquire decent profit in the market, the selection of the most appropriate suppliers is essential. In this paper, a supplier selection model is constructed by applying methodologies including decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to determine the interrelationship among the evaluation criteria and to select the most appropriate suppliers for cooperation.

scholarly journals Multi-Criteria Analysis for the Selection of the Optimal Mining Design Solution—A Case Study on Quarry “Tambura”

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3200
Author(s):  
Branimir Farkaš ◽  
Ana Hrastov
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Open Pit ◽  
Design Solution ◽  
Mine Design ◽  
Promethee Ii ◽  
Mining Design ◽  
Quarry Mine ◽  
Selection Of

Mining design is usually evaluated with different multiple-criteria decision-making (MCDM) methods when it comes to large open pit or underground ore mines, but it is not used on quarry sites. Since Croatia is mostly mining stone, the implementation of such methods in decision making of the quarry mine design is imperative but left out. In this paper, the PROMETHEE II and AHP decision-making methods are implemented on the quarry site to find out the best final quarry design contour. By implementing the MCDM methods, the best quarry model was chosen based on 22 different criteria parameters out of three final quarry designs. The chosen model is not only financially sound but also has the least environmental impact.

A multiple-criteria decision-making model for the selection of a hotel location

2019 ◽  
Vol 84 ◽  
pp. 49-58 ◽  
Author(s):  
Gabrijela Popovic ◽  
Dragisa Stanujkic ◽  
Miodrag Brzakovic ◽  
Darjan Karabasevic
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Making Model ◽  
Selection Of

An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs

2019 ◽  
Vol 18 (06) ◽  
pp. 1875-1908
Author(s):  
Akshay Hinduja ◽  
Manju Pandey
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Managerial Decision ◽  
Erp System ◽  
Intuitionistic Fuzzy ◽  
Decision Making Problem ◽  
Fuzzy Preference Relations ◽  
Priority Method ◽  
Selection Of

ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.

scholarly journals Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method

2019 ◽  
Vol 16 (23) ◽  
pp. 4843 ◽  
Author(s):  
Zhi Wen ◽  
Huchang Liao ◽  
Ruxue Ren ◽  
Chunguang Bai ◽  
Edmundas Kazimieras Zavadskas ◽  
...  
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Cold Chain ◽  
Solution Methods ◽  
Criteria Weights ◽  
Ranking Of Alternatives ◽  
And Storage ◽  
Selection Of

Medicine is the main means to reduce cancer mortality. However, some medicines face various risks during transportation and storage due to the particularity of medicines, which must be kept at a low temperature to ensure their quality. In this regard, it is of great significance to evaluate and select drug cold chain logistics suppliers from different perspectives to ensure the quality of medicines and reduce the risks of transportation and storage. To solve such a multiple criteria decision-making (MCDM) problem, this paper proposes an integrated model based on the combination of the SWARA (stepwise weight assessment ratio analysis) and CoCoSo (combined compromise solution) methods under the probabilistic linguistic environment. An adjustment coefficient is introduced to the SWARA method to derive criteria weights, and an improved CoCoSo method is proposed to determine the ranking of alternatives. The two methods are extended to the probabilistic linguistic environment to enhance the applicability of the two methods. A case study on the selection of drug cold chain logistics suppliers is presented to demonstrate the applicability of the proposed integrated MCDM model. The advantages of the proposed methods are highlighted through comparative analyses.

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 Sustainable Construction Supplier Selection by a Multiple Criteria Decision-making Method with Hesitant Linguistic Information

2020 ◽  
Vol 23 (4) ◽  
pp. 119-136
Author(s):  
Huchang Liao ◽  
Ruxue Ren ◽  
Jurgita Antucheviciene ◽  
Jonas Šaparauskas ◽  
Abdullah Al-Barakati
Keyword(s):  
Decision Making ◽  
Resource Constraints ◽  
Distance Measure ◽  
Multiple Criteria Decision Making ◽  
Sustainable Construction ◽  
Multi Criteria Decision Making ◽  
Evaluation Tool ◽  
Linguistic Term ◽  
Decision Making Model ◽  
Fuzzy Linguistic

Within the context of resource constraints and ecological environment imbalance, the adoption of green suppliers can help construction enterprises achieve sustainable development and improve their competitiveness. The selection of sustainable construction suppliers is a multi-criteria decision-making problem since multiple factors should be considered. The increasingly complex decision-making environment makes it difficult for evaluators to give accurate evaluation values. In this regard, the hesitant fuzzy linguistic term set is a qualitative evaluation tool to represent the comprehensive linguistic evaluation values of experts by considering the hesitancy behaviors of experts. In this paper, a scientific multi-criteria decision-making model based on the improved Stepwise Weight Assessment Ratio Analysis (SWARA) method and the double normalization-based multi-aggregation (DNMA) method in the hesitant fuzzy linguistic environment is proposed. A new distance measure is proposed to measure the differences between hesitant fuzzy linguistic term sets with different lengths without changing the original evaluation information of experts. The proposed distance measure is applied to the proposed multi-criteria decision-making model. After improving the calculation steps of the traditional SWARA method, we can determine the weights of criteria effectively through our proposed model. To verify the applicability of the proposed method, we implement it to select sustainable building suppliers. The effectiveness of the method is verified by sensitivity analysis. We also compare the results obtained by our method and those derived by the Weight Aggregated Sum Product ASsessment (WASPAS) method and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. The proposed method have a strong applicability to solve the sustainability-related decision problems given that it can effectively determine the weights of criteria and flexibly meet the needs of decision-makers by adjusting the coefficient.

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