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Journal articles on the topic 'Supplier evaluation and selection'
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KHORRAMSHAHGOL, REZA. "AN INTEGRATED STRATEGIC APPROACH TO SUPPLIER EVALUATION AND SELECTION." International Journal of Information Technology & Decision Making 11, no. 01 (January 2012): 55–76. http://dx.doi.org/10.1142/s0219622012500034.
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This paper, using goal programming (GP) and the analytic hierarchy process (AHP), proposes an integrated methodology to aid decision makers in (1) evaluating, screening and selecting best suppliers from among an exhaustive list of available suppliers and (2) determining the amount to be purchased from the selected suppliers. Along the supply chain, the suppliers, by being situated at the upstream of the chain, play a crucial role in successful management of the entire (subsequent) members of the chain and can have a significant impact on the efficiency and effectiveness of the activities of the rest of the chain, and ultimately, on the delivery of the desired products/services. Thus supplier selection can certainly contribute greatly to a firm's competitive advantage and its organizational success. This study suggests a screening and evaluation method, named supplier priority index matrix, to eliminate the least qualified suppliers and to choose the most promising ones. The remaining potential suppliers are evaluated and the best are selected from among them. Finally the AHP and GP are used to allocate the firm's total supplies among the chosen/selected suppliers.
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Imeri, Shpend, Khuram Shahzad, Josu Takala, Yang Liu, Ilkka Sillanpää, and Tahir Ali. "Evaluation And Selection Process of Suppliers Through Analytical Framework: An Emprical Evidence of Evaluation Tool." Management and Production Engineering Review 6, no. 3 (September 1, 2015): 10–20. http://dx.doi.org/10.1515/mper-2015-0022.
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AbstractThe supplier selection process is very important to companies as selecting the right suppliers that fit companies strategy needs brings drastic savings. Therefore, this paper seeks to address the key area of supplies evaluation from the supplier review perspective. The purpose was to identify the most important criteria for suppliers’ evaluation and develop evaluation tool based on surveyed criteria. The research was conducted through structured questionnaire and the sample focused on small to medium sized companies (SMEs) in Greece. In total eighty companies participated in the survey answering the full questionnaire which consisted of questions whether these companies utilize some suppliers’ evaluation criteria and what criteria if any is applied. The main statistical instrument used in the study is Principal Component Analysis (PCA). Thus, the research has shown that the main criteria are: the attitude of the vendor towards the customer, supplier delivery time, product quality and price. Conclusions are made on the suitability and usefulness of suppliers’ evaluation criteria and in way they are applied in enterprises.
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Mahmoudifard, Seyed Mehdi, Ramin Shabanpour, Nima Golshani, Kiana Mohammadian, and Abolfazl Mohammadian. "Supplier Evaluation Model in Freight Activity Microsimulation Estimator." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 9 (June 17, 2018): 70–80. http://dx.doi.org/10.1177/0361198118777084.
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The supplier selection process is one of the main components of the Freight Activity Microsimulation Estimator (FAME), which is a disaggregated and comprehensive framework that simulates the freight movements for all industries and all commodities in the U.S. However, the supplier selection and supplier evaluation models in the FAME face computational issues. Using the result of a nationwide establishment survey, this study analyzes the supplier selection problem by evaluating the potential suppliers. The buyer’s behavior on selecting the distance range in which the trade forms is analyzed using both machine-learning and statistical approaches. A decision-tree model and an ordered probit model are estimated and compared to better comprehend the supplier evaluation process. The results indicate that several factors such as the type of the business, commodity type, number of orders, and the value of orders are significant factors. In addition, the decision-tree model is reliable in forecasting the consumer’s behavior.
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Sahu, Anoop Kumar, Saurav Datta, and S. S. Mahapatra. "Evaluation and selection of resilient suppliers in fuzzy environment." Benchmarking: An International Journal 23, no. 3 (April 4, 2016): 651–73. http://dx.doi.org/10.1108/bij-11-2014-0109.
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Purpose – Supply chains (SCs) have become increasingly vulnerable to catastrophic events/disruptions that may be natural or man-made. Hurricanes, tsunamis and floods are natural disasters, whereas man-made disasters may be strikes, terrorist attacks, etc. Failure at any point in the SC network has the potential to cause the entire network to fail. SCs must therefore be properly designed to survive well in the disruption scenario. The capability of successful survival (of the firm’s SC) against those adverse events/happenings is termed as resilience; and, the SC designed under resilience consideration is called a resilient SC. Effective supplier selection is considered as a key strategic consideration in SC management. It is felt that apart from considering traditional suppliers selection criterions, suppliers’ resiliency strategy must be incorporated while selecting a potential supplier which can provide best support to the firm even in the disaster/disruption scenario. The purpose of this paper is to focus aspects of evaluation and selection of resilience supplier by considering general as well as resiliency strategy, simultaneously. Design/methodology/approach – In this work, subjectivity associated with ill-defined (vague) evaluation information has been tackled through logical exploration of fuzzy numbers set theory. Application of VIKOR embedded with fuzzy mathematics has been utilized here. Sensitivity analysis has been performed to reflect the effect of decision-makers’ (DM) risk bearing attitude in selecting the best potential supplier in a resilient SC. A case empirical example has also been presented. Findings – The work attempts to focus on a decision-making procedural hierarchy towards effective supplier selection in a resilient SC. The work exhibits application potential of VIKOR method integrated with fuzzy set theory to select potential supplier based on general strategy as well as resiliency strategy. The final supplier selection score (obtained by considering general strategy) and that of obtained by analyzing resiliency strategy have been combined to get a final compromise solution. The decision-support framework thus reported here also considers DMs’ risk bearing attitude. Practical implications – The study bears significant impact to the industry managers who are trying to adapt resiliency strategy in their SC followed by potential supplier selection in the context of resilient SC. Originality/value – Exploration of VIKOR embedded with fuzzy set theory towards suppliers’ evaluation and selection by considering general and resiliency criteria both. The decision-support module(s) adapted in this paper considers DMs’ risk bearing attitude to arrive the best compromise solution.
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Omosigho, S. E., and Dickson Omorogbe. "Supplier selection using different metric functions." Yugoslav Journal of Operations Research 25, no. 3 (2015): 413–23. http://dx.doi.org/10.2298/yjor130706028o.
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Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.
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Zhang, Chenyang, Zhuwu Zhu, Jian Liu, and Ke Zhou. "Supplier Selection in Supply Chain Based on Fuzzy Comprehensive Evaluation Method." E3S Web of Conferences 253 (2021): 03034. http://dx.doi.org/10.1051/e3sconf/202125303034.
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First of all, the type of supplier under the environment of supply chain is presented, and the choice of supplier to consider factors and selection methods, and then based on the analysis of a supplier evaluation index system should follow the four principles on the basis of the proposed a supplier evaluation index system. The thought and method of fuzzy comprehensive evaluation of the evaluation of suppliers are introduced, supplier fuzzy comprehensive evaluation model is established, and the instance is given to test and verify.
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Asgari, Moloud sadat, Abbas Abbasi, and Moslem Alimohamadlou. "Comparison of ANFIS and FAHP-FGP methods for supplier selection." Kybernetes 45, no. 3 (March 7, 2016): 474–89. http://dx.doi.org/10.1108/k-09-2014-0195.
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Purpose – In the contemporary global market, supplier selection represents a crucial process for enhancing firms’ competitiveness. This is a multi-criteria decision-making problem that involves consideration of multiple criteria. Therefore this requires reliable methods to select the best suppliers. The purpose of this paper is to examine and propose appropriate method for selecting suppliers. Design/methodology/approach – ANFIS and fuzzy analytic hierarchy process-fuzzy goal programming (FAHP-FGP) are new methods for evaluating and selecting the best suppliers. These methods are used in this study for evaluating suppliers of dairy industries and the results obtained from methods are compared by performance measures such as Mean Squared Error, Root Mean Squared Error, Normalized Root Men Squared Error, Mean Absolute Error, Normalized Root Men Squared Error, Minimum Absolute Error and R2. Findings – The results indicate that the ANFIS method provides better performance compared to the FAHP-FGP method in terms of the selected suppliers scoring higher in all the performance measures. Practical implications – The proposed method could help companies select the best supplier, by avoiding the influence of personal judgment. Originality/value – This study uses the well-structured method of the fuzzy Delphi in order to determine the supplier evaluation criteria as well as the most recent ANFIS and FAHP-FGP methods for supplier selection. In addition, unlike most other studies, it performs the selection process among all available suppliers.
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Cheshmberah, Mohsen. "Developing an Integrated Framework for Supplier Evaluation based on Relevant Attributes and Performance Measures." Logistics & Sustainable Transport 11, no. 1 (February 1, 2020): 101–13. http://dx.doi.org/10.2478/jlst-2020-0007.
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AbstractSupplier evaluation and selection is essential to any organization, and planning an effective and comprehensive approach to that end seems inevitable. Meanwhile, determining the requisite criteria for evaluating and selecting suppliers is probably one of the most important steps to be taken towards developing an evaluation and selection model in the organization. In this article, first a review of the literature on the criteria and the field of supplier evaluation and selection are provided. These criteria are then placed into proper categories. In order to formulate a supplier evaluation and selection framework for the manufacturing organization under study, the implemented categorization is applied where a list of fifteen attributes and performance criteria is created; where upon it is secured with the help of a designated panel (project team). These features are then screened using Lawshe’s method the “social attribute” is removed from the list of fifteen. The remaining 14 other criteria are configured within the SEAP (Suppliers Evaluation based on Attributes and Performances) framework. The framework follows the objective of continually evaluating suppliers, both potential and actual ones through incorporating their performances into their qualification ratings. Based on the proposed framework, suppliers are evaluated on the basis of two types of criteria, - feature (attribute) and performance.
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Hou, Fang Miao. "Supplier Selection and Evaluation in Environmental Purchase." Advanced Materials Research 479-481 (February 2012): 352–56. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.352.
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Supplier selection and evaluation is an important part of environmental purchase in green supply chains. How to determine suitable suppliers in the supply chain has become a key strategic consideration. Although there are many approaches having been put forward by researchers, however, considering the complex and unstructured nature of these decisions, the paper conducts an analysis on how to select desired suppliers by AHP, followed by a case study in an enterprise in China.
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Adi Wicaksono, Purnawan, I. Nyoman Pujawan, Erwin Widodo, Sutrisno, and Laila Izzatunnisa. "Mixed integer linear programming model for dynamic supplier selection problem considering discounts." MATEC Web of Conferences 154 (2018): 01071. http://dx.doi.org/10.1051/matecconf/201815401071.
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Supplier selection is one of the most important elements in supply chain management. This function involves evaluation of many factors such as, material costs, transportation costs, quality, delays, supplier capacity, storage capacity and others. Each of these factors varies with time, therefore, supplier identified for one period is not necessarily be same for the next period to supply the same product. So, mixed integer linear programming (MILP) was developed to overcome the dynamic supplier selection problem (DSSP). In this paper, a mixed integer linear programming model is built to solve the lot-sizing problem with multiple suppliers, multiple periods, multiple products and quantity discounts. The buyer has to make a decision for some products which will be supplied by some suppliers for some periods cosidering by discount. To validate the MILP model with randomly generated data. The model is solved by Lingo 16.
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Farsijani, Hassan, Mohsen Shafiei Nikabadi, Reza Malmir, and Fatemeh Shakhsian. "Suppliers Selection for Sazeh Gostar Saipa Co. Using a Combination Approach of Analytic Network Process and Goal Programming." International Journal of Applied Logistics 4, no. 1 (January 2013): 14–34. http://dx.doi.org/10.4018/jal.2013010102.
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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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Yan, Zhijia, Wenting Yang, Xiaoling Huang, Xiangrong Shi, and Wenyu Zhang. "A Reputation-Enhanced Hybrid Approach for Supplier Selection with Intuitionistic Fuzzy Evaluation Information." Mathematics 7, no. 3 (March 24, 2019): 298. http://dx.doi.org/10.3390/math7030298.
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Selecting optimal suppliers in fuzzy environments has become a major challenge for enterprises. Reputation plays an important role in the process of supplier selection because of its fuzziness, dynamicity, and transitivity. In this study, we first present a novel intuitionistic fuzzy sets (IFS)-hyperlink-induced topic search (HITS) method that combines the intuitionistic fuzzy set with the hyperlink-induced topic search (HITS) algorithm to extend the ability of processing fuzzy information in order to obtain post-propagated reputation values of suppliers. Then, we employ the dynamic intuitionistic fuzzy weighted average operator to gain dynamic reputation values and other evaluation attribute values. After that, intuitionistic fuzzy entropy weight method is adopted to acquire more accurate weights for each evaluation attribute. Finally, we employ the Vlsekriterijumska Optimizacija I Kompromisno Resenje method to acquire comprehensive evaluation values of candidate supplier to select optimal suppliers. Two groups of experiments for supplier selection are given to explain feasibility and practicality of the proposed method.
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Zhang, Qian, Kin Keung Lai, and Jorome Yen. "Multicriteria supplier selection using acceptability analysis." Advances in Mechanical Engineering 11, no. 10 (October 2019): 168781401988371. http://dx.doi.org/10.1177/1687814019883716.
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The supplier selection problem has been largely explored in the extant literature and attracted considerable attention of academics and purchasing managers. Practical supplier selection problem is usually revolved around multicriteria and a committee of experts. However, even using the exact values of the input data, certain experts may generate uncertain evaluation results on a supplier, because the exact weights with respect to each criterion are extremely difficult to reach a group consensus. In this article, first the interval data to describe all experts’ evaluation on all suppliers are formulated and then a stochastic multicriteria acceptability analysis (SMAA-2) is applied to provide a full rank of all candidate suppliers. SMAA-2 method is considered as an effective instrument to deal with stochastic decision-making problems. The rank acceptability indices and holistic rank indices are obtained to support the supplier selection. A numerical example drawn from the previous paper is recalculated to show the effectiveness of our approach.
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Wang, Chia-Nan, Hsiung-Tien Tsai, Van Thanh Nguyen, Viet Tinh Nguyen, and Ying-Fang Huang. "A Hybrid Fuzzy Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution Supplier Evaluation and Selection in the Food Processing Industry." Symmetry 12, no. 2 (February 2, 2020): 211. http://dx.doi.org/10.3390/sym12020211.
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Selecting suppliers plays an important role in improving efficiency of supply chains. In the field of extraction of vegetable oil, one of the main submaterials is hexane solvent. Choosing a supplier of hexane solvent is a multicriteria decision-making task that decision-makers must have an understanding of the quantitative and qualitative elements for assessing the symmetrical impact of the criteria to reach the most accurate result. In this paper, the authors suggest a multicriteria decision-making (MCDM) model for N-hexane solvent (C6H14) supplier evaluation and selection for vegetable oil production. All criteria affecting to the hexane solvent supplier evaluation and selection process are defined by experts. Then, a fuzzy analytic hierarchy process (FAHP) multicriteria comparative analysis method has been applied for determining the weight of all criteria. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was applied to select the optimal hexane solvent supplier. As a result, decision making unit 003 (DMU3) is the optimal supplier. The contribution of this research is to propose an MCDM model for hexane solvent supplier selection in the food industry. The work also proposed a useful guideline for supplier evaluation and selection processes in other industries.
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N, Harikannan. "Decision Making Model for Supplier Evaluation and Selection Using MCDM Methods." Bonfring International Journal of Industrial Engineering and Management Science 4, no. 2 (May 9, 2014): 76–82. http://dx.doi.org/10.9756/bijiems.10303.
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Yazdani, Morteza, Prasenjit Chatterjee, Dragan Pamucar, and Manuel Doval Abad. "A risk-based integrated decision-making model for green supplier selection." Kybernetes 49, no. 4 (May 31, 2019): 1229–52. http://dx.doi.org/10.1108/k-09-2018-0509.
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Purpose Supply chain (SC) environment is surrounded by risk variables. This issue is regarded as an emerging and strategic problem which must be resolved by SC executives. The ability to measuring green supplier’s performance and affecting risk variables to demonstrating effective suppliers list has a potential contribution to be investigated. This paper aims to develop a decision-making model to assess green suppliers under legislation and risk factors. This leads to fewer disruptions in managing the SC and its impact to further improvement. It also presents research concepts forming a new approach for identification, prediction and understating relationship of supply risk. Design/methodology/approach At primal stage, different risk factors that influence green suppliers’ performance are indicated and their relationship is analyzed using decision-making trial and evaluation laboratory (DEMATEL) method. At the same time, failure mode and effect analysis is used to determine risk rating of each supplier. Finally, the evaluation based on distance from average solution (EDAS) method ranks suppliers and several comparisons and analysis are performed to test the stability of the results. The approaches include comparison to technique for order performance by similarity to ideal solution, multi-attributive border approximation area comparison, Vlse Kriterijumska Optimizacija I Kompromisno Resenje and complex proportional assessment methods, followed by analysis of rank reversal, weight sensitivity analysis and effect of dynamic metrics. Findings A real-time case study on green supplier selection (GSS) problem of a reputed construction company of Spain has been presented to demonstrate the practical aspects of the proposed method. In practice, though organizations are aware of various risks from local and global suppliers, it is difficult to incorporate these risk factors for ranking the suppliers. This real-case application shows the evaluation and incorporation of risk factors into the supplier selection model. Practical implications The proposed multi-criteria decision model quantitatively aids managers in selecting green suppliers considering risk factors. Originality/value A new model has been developed to present a sound mathematical model for solving GSS problems which considers the interaction between the supplier selection risk factors by proposing an integrated analytical approach for selecting green suppliers strategically consisting of DEMATEL, FMEA and EDAS methods.
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Tong, Lizhong, Zhongmin Pu, and Jizheng Ma. "Maintenance Supplier Evaluation and Selection for Safe and Sustainable Production in the Chemical Industry: A Case Study." Sustainability 11, no. 6 (March 13, 2019): 1533. http://dx.doi.org/10.3390/su11061533.
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Chemical industry plays a pivotal role in the economy in every country. As chemical hazardous materials are usually characterized as inflammable, explosive, toxic, corrosive, and carcinogenic, if accidents happen in chemical company it can lead to irreversible environmental and health damage to the public. The chemical industry attaches great importance to safe production, technical professionalism, and service standardization. Nowadays, under the trend of equipment maintenance service outsourcing in chemical companies, the selection of maintenance suppliers with safe and sustainable records come first and foremost in the supplier selection process. However, these concerns from the chemical industry are currently inadequately addressed by most general supplier selection models. Therefore, this paper proposes an applicable methodology for selecting and evaluating equipment maintenance suppliers in the chemical industry, compatible with a safe and sustainable production context. To achieve the goal of “safe operation and sustainable development in the future”, we established an evaluation criteria framework for equipment maintenance suppliers by combining the general supplier selection criteria and safe production characteristics together. Eight main criteria and 24 sub-criteria based on market acceptance, resource conditions, and safe production were included. Then a fuzzy TOPSIS model was presented to select the best equipment maintenance service supplier. Finally, by analyzing a case in W petrochemical company, the empirical results indicate that the proposed framework is of great practical value to select and evaluate equipment maintenance suppliers for safety and sustainable development in the chemical industry.
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Li, Na, and Jian Ge Li. "Study on the Choice of Logistics Supplier in Wind Power Manufactures Based on Fuzzy Comprehensive Evaluation." Advanced Materials Research 945-949 (June 2014): 2830–33. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2830.
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Logistics supplier selection is the source of wind power manufactures enterprise product quality assurance,while the evaluation and selection of suppliers are affected by a number of uncertainty factors. In order to be more accurate and comprehensive evaluate the logistics supplier of wind power manufactures enterprise, a set of vendor evaluation index system is established in this paper. For the status quo of wind power manufactures enterprise directly scoring, an evaluation model is proposed which use fuzzy comprehensive evaluation method to evaluate and select logistics supplier for wind power manufactures enterprise. The actual case shows that the method can be objective and accurate selection of suppliers and overcome the shortcomings of the previous evaluation methods.
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Wang, Chia-Nan, Ying-Fang Huang, I.-Fang Cheng, and Van Nguyen. "A Multi-Criteria Decision-Making (MCDM) Approach Using Hybrid SCOR Metrics, AHP, and TOPSIS for Supplier Evaluation and Selection in the Gas and Oil Industry." Processes 6, no. 12 (December 6, 2018): 252. http://dx.doi.org/10.3390/pr6120252.
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Suppliers are extremely important in business operations. The supplier ensures the supply of materials, raw materials, commodities, etc. in sufficient quantity, quality, stability, and accuracy to meet the requirements of production and business with low costs and on-time deliveries. Therefore, selecting and managing good suppliers is a prerequisite for organizing the production of quality products as desired, according to the schedule, and with reasonable prices and competitiveness in the market. It is also important to gain the support of suppliers in order to continue to improve and achieve more as a business. The evaluation and selection of a supplier is a Multi-Criteria Decision-Making (MCDM) issue, in which the decision-maker is faced with both qualitative and quantitative factors. In this research, the authors propose an MCDM model using a hybrid of Supply Chain Operations Reference metrics (SCOR metrics), the Analytic Hierarchy Process (AHP) model, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach for supplier evaluation and selection in the gas and oil industry. Using literature reviews on SCOR metrics, all criteria that impact supplier selection are defined in the first stage, the AHP model is applied to determine the weight of each factor in the second stage, and the optimal supplier is presented in final stage using the TOPSIS model. As a result, Decision-Making Unit 5 (DMU-05) is found to be the best supplier for the gas and oil industry in this research. The contribution of this work is to propose a new hybrid MCDM model for supplier selection in the gas and oil industry. This research also introduces a useful tool for supplier selection in other industries.
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Fu, Mian, and Dan Dan Wang. "Supplier Selection and Evaluation of Fresh Supermarket Based on AHP." E3S Web of Conferences 257 (2021): 02085. http://dx.doi.org/10.1051/e3sconf/202125702085.
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With the change of consumption concept, fresh food is the necessity of people’s life. The main value of fresh food is reflected in the freshness of products and the reliability of consumption. The selection and evaluation of suppliers of fresh food is the primary problem that fresh supermarket enterprises need to consider at present. Taking fresh supermarket supplier selection as the research object, this paper analyzes the key influencing factors of fresh supermarket enterprise supplier selection and evaluation, and constructs a fresh supermarket enterprise supplier selection and evaluation index system with 4 first level indicators and 15 second level indicators. At the same time, using the analytic hierarchy process and fuzzy evaluation method, this paper analyzes the evaluation index system of fresh legend supermarket in Hefei city of Anhui Province. According to the evaluation results, suppliers need to increase the rapid response capacity and improve the cold chain logistics facilities and equipment.
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Stojanović, Goran, and Dejan Bogdanović. "Suppliers ranking in production systems by Fuzzy TOPSIS method, case study: Underground Coal Mines Resavica-Serbia." Podzemni radovi, no. 38 (2021): 27–45. http://dx.doi.org/10.5937/podrad2138027s.
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Selection and evaluation of suppliers is a complex issue that depends mostly on the quality of the decision-making process. The aim of this paper is to point to the possibility of applying multi-criteria analysis (Fuzzy TOPSIS method) for the selection of suppliers operating in mining systems in the case of the Public Company for Underground Coal Mining Resavica (JPPEU Resavica) -Serbia. Ranking of companies is done based on ten criteria, and it has considered a list of five suppliers (Supplier 1; Supplier 2; Supplier 3; Supplier 4; Supplier 5). The criteria cover the most important aspects of suppliers' selection such as: management and organization, quality, technical ability, production facilities and capacity, financial position, delivery, service, relationship-connectivity, security and environmental protection and price. In doing so, it has used the experts knowledge from JPPEU Resavica to determine the significance and impact of certain criteria to the process of supplier selection and evaluation of suppliers in regard to each criterion. Fuzzy TOPSIS method was used for determining the final ranking of suppliers. The supplier with the top rank was the Supplier 4. The obtained results indicate that the proposed method gives excellent results and can be used for solving various, and the most complex problems that occur in mining systems, as well as in other production systems.
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Liu, Ming. "Construction of Supplier Selection Criterion System of Green Supply Chain Based on Information Gain Analysis." Advanced Materials Research 933 (May 2014): 980–83. http://dx.doi.org/10.4028/www.scientific.net/amr.933.980.
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The excellent suppliers are the guarantee for smooth operation of green supply chain. While the scientific green supplier evaluation system is the foundation of supplier selection. The article analyzes the characteristics of supplier selection criterion system in green supply chain, and lists the common evaluation criterion. To construct a more reasonable evaluation system, the method of information gain analysis is introduced into the paper, which can handpick the criterions reasonably.
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Mwadulo, Mary Walowe. "Supplier Evaluation and Selection - A Review." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 582–86. http://dx.doi.org/10.22214/ijraset.2019.3101.
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MWADULO, MARY WALOWE, and SAMSON WANJALA MUNIALO. "Supplier evaluation and Selection. A review." Journal of Computer and Information Technology 10, no. 01 (February 14, 2019): 1–6. http://dx.doi.org/10.22147/jucit/100101.
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Kang, He‐Yau, and Amy H. I. Lee. "A new supplier performance evaluation model." Kybernetes 39, no. 1 (March 16, 2010): 37–54. http://dx.doi.org/10.1108/03684921011021264.
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PurposeMost industries have become increasingly competitive nowadays, and a good supply chain relationship is essential for a company to survive and to acquire reasonable profit. Therefore, supplier selection is very important. The purpose of this paper is to propose a novel model for evaluating the performance of suppliers.Design/methodology/approachA supplier performance evaluation model based on analytic hierarchy process (AHP) and data envelopment analysis (DEA) is constructed. DEA is applied first to evaluate quantitative factors, and the results are transformed into pairwise comparison values for AHP analysis. Qualitative factors are also evaluated through AHP analysis, and a final ranking of suppliers can be obtained by combining the quantitative and qualitative results.FindingsThe proposed model can be applied to evaluate and select the most appropriate integrated circuit packaging company for outsourcing. With the incorporation of experts' opinions and the consideration of qualitative and quantitative factors, the model can provide a both subjective and objective supplier performance ranking.Practical implicationsThe proposed model can be tailored and applied to supplier evaluation and selection in other industries.Originality/valueAlthough many models are available for supplier evaluation, this paper considers both the subjective and objective performance characteristics simultaneously in the evaluation process.
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YAZDANI, Morteza, Sarfaraz HASHEMKHANI ZOLFANI, and Edmundas Kazimieras ZAVADSKAS. "NEW INTEGRATION OF MCDM METHODS AND QFD IN THE SELECTION OF GREEN SUPPLIERS." Journal of Business Economics and Management 17, no. 6 (May 19, 2016): 1097–113. http://dx.doi.org/10.3846/16111699.2016.1165282.
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Currently, topics of operations management and supply chain systems have been gaining more interest of researchers. Efficiency in supply chain activities and operations management firstly benefit organisations. One of the main operations in supply chain systems is the collaboration with selected suppliers. Various models have been proposed in terms of supplier evaluation and selection studies. The invention of a new integrated frame for the building of an effective supplier evaluation system is a multi-attribute task that consists of several factors as external and internal variables. This paper delivers a creative integrated model of supplier selection problem using SWARA, QFD and a new MCDM tool called WASPAS. This work considers customer attitudes in the process of supplier evaluation. To give more weight to customer requirements, a new SWARA method has been designed; additionally, QFD and the house of quality matrix have been used to transform customer requirements into the supplier evaluation index. Finally, WASPAS has been used to rate the performance of suppliers and present supplier ranking scores. Application of initiative ways to propose a systematic supplier selection problem has always been encouraged by supply chain managers. This topic has been addressed in this paper as well.
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Lau, Henry, Dilupa Nakandala, and Paul Kwok Shum. "A business process decision model for fresh-food supplier evaluation." Business Process Management Journal 24, no. 3 (June 4, 2018): 716–44. http://dx.doi.org/10.1108/bpmj-01-2016-0015.
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Purpose Frequent food safety incidents caused widespread consumer concerns. Even though food safety is one of the weakest links in the fresh food supply chain and influences consumer food choice in ways different from the quality dimension, this factor is hardly proposed as one of the key traditional supplier selection criteria (e.g. quality, delivery, and price) in the literature. The purpose of this paper is to develop a business process decision model to assess the non-compensating food safety sub-criteria in order to disqualify fresh food suppliers that cannot reach the minimum threshold for low probable food safety failure. The preferred fresh food suppliers can minimize the risk of food safety failure and the associated huge food safety failure costs spanning from private consumer anguish to social distress that cause unbearable costs of sales loss and damage to brand image in business. Design/methodology/approach This study proposes a novel approach that combines several well-established multi-criteria decision making (MCDM) techniques, including fuzzy AHP (FAHP), TOPSIS, and ELECTRE, and innovatively apply to analyze supplier performance and prioritize potential fresh food suppliers. This hybrid business process model can enforce compliance to all the five non-compensatory sub-criteria of food safety. Since ELECTRE is a non-compensatory MCDM method, it is therefore particularly applicable for disqualifying high risk fresh food suppliers from further full scale supplier performance evaluation by FAHP and TOPSIS. This hybrid business process decision model is able to capitalize on the strengths of these MCDM methods and offset their deficiencies. Findings This study uses data of an international supermarket chain to validate feasibility of the proposed model. Results indicate that this model is able to assess the non-compensating food safety sub-criteria via the ELECTRE method in order to disqualify fresh food suppliers that cannot reach the minimum threshold for low probable food safety failure. Only the preferred suppliers with the required food safety capability can proceed to the second stage of the supplier selection process. Assessment via the TOPSIS method reveals the ranking order of those top performing suppliers according to their relative scores along all the supplier selection criteria. The TOPSIS ranking results with the selection of the suppliers C, E, A, and F are robust and consistent across all the different scenarios. Practical implications Application to the fresh food industry is possible with the aid of the MCDM methods. The contribution to the body of knowledge in this teaching and research field demonstrates the importance of first identifying the order qualifier for disqualifying those suppliers that do not satisfy the food safety requirements via the ELECTRE method. The proposed assessment procedure complies with the regulatory policy on food safety, and would influence public policy in applying the best practice of food safety regulation. Without first qualifying the potential suppliers on the basis of food safety, wrong decision can be made to select those high food risk suppliers that have relatively higher overall scores in other supplier selection criteria. Using the assessment results has positive economic and commercial impact on the purchasing managers to formulate appropriate purchasing and supplier development strategy to enhance supplier’s food safety performance, whilst maximizing the overall supplier portfolio performance. The improved supplier’s food safety performance will certainly benefit the society’s quality of life as well. Originality/value Based on the analytical MCDM methods of FAHP, TOPSIS, and ELECTRE, purchasing managers can operationalize the Hill’s framework of order qualifier and winner that has primarily been used in the literature and manufacturing industry. This study represents the first move to innovatively apply the FAHP, TOPSIS, and ELECTRE methods to operationalize the Hill’s framework of order qualifier and winner that has primarily been used in the literature and manufacturing industry. Application to the fresh food industry to validate the feasibility of the proposed model has been conceived and implemented in this study. Analysis of the data inputs of a supermarket chain via the three MCDM methods generate the results that fulfill the purpose of achieving the research objective of identifying and managing the supplier base that can deliver the best supplier performance, conditional on first passing the fresh food safety test.
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Lu, Shan. "Research on the Methods of Suppliers Selection in the Context of E-Commerce." Advanced Materials Research 143-144 (October 2010): 509–14. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.509.
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The development of e-commerce has had a significant influence on the index system, methods and process of supplier selection for companies. By considering comprehensively the features of supplier selection in the e-commerce environment as well as the traditional index system, the indices for supplier selection can be determined as supplier flexibility, supplier credit, product quality, informatization degree and supply ability.Based on intuitionistic language aggregation operators, the intuitionistic language sets are applied for selecting and evaluating suppliers, and the scientific nature of this decision-making process of selection of suppliers is then verified through empirical studies. It is necessary to further enrich and improve the index system and methods of supplier selection in the future according to features of companies from different industries and with different background.
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Fang, Guo Yi, and Yan Jun Wang. "A Method for Jet Fuel Suppliers Evaluation Based on Agile Supply Chain." Applied Mechanics and Materials 26-28 (June 2010): 1083–87. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.1083.
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Jet fuel supply chains are increasingly becoming agile. To build agile supply chains, jet fuel companies first need to have access to a large supply base and secondly need an efficient mechanism for supplier evaluation and selection. In this paper, we analysis the standard for evaluating jet fuel supplier and constructs an evaluation index system for jet fuel supplier evaluation in an agile supply chain. The index system consists of five primary indexes and fifteen secondary indexes. We also develop an evaluation method for jet fuel suppliers based on relational degree analysis and the method is demonstrated with an example.
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Xu, Hao, Liuxin Chen, Qiongfang Li, and Jianchao Yang. "A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective." International Journal of Environmental Research and Public Health 18, no. 1 (January 5, 2021): 344. http://dx.doi.org/10.3390/ijerph18010344.
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Due to the continuous changes of political environment, consumption habits, technological progress and other factors, the external environment of enterprises is full of uncertainty. The turbulence of external environment is not conducive to the long-term operation and development of enterprises, but also brings great challenges to the selection of suppliers. This makes the competition of enterprises focus on how to choose long-term cooperation suppliers in the uncertain external environment. In addition, due to the deterioration of the global environment, governments pay more and more attention to environmental pollution, and consumers are more and more inclined to green consumption, which makes many companies pay more and more attention to environmental indicators when selecting suppliers. In the case of external environment turbulence and serious environmental pollution, the evaluation and selection of green suppliers in uncertain environment is particularly important for the long-term development of enterprises. What’s more, when the supplier’s capability gap is small, the decision-maker often hesitates among several suppliers. In this paper, the hesitant fuzzy is used to describe the hesitant psychology of decision-makers in selecting suppliers, the variance fluctuation is used to describe the characteristics of hesitant fuzzy numbers, and the probability is used to measure the uncertainty of the environment. A green supplier evaluation model under the uncertainty environment is proposed, which comprehensively evaluates the green suppliers under the uncertain environment. Furthermore, it is compared with other methods that do not consider the uncertainty and the adaptability of evaluation method and right confirmation method, so as to reflect the influence of uncertainty to green supplier evaluation and the importance of adaptability of evaluation method and right confirmation method.
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Akcan, Serap, and Meral Güldeş. "Integrated Multicriteria Decision-Making Methods to Solve Supplier Selection Problem: A Case Study in a Hospital." Journal of Healthcare Engineering 2019 (October 10, 2019): 1–10. http://dx.doi.org/10.1155/2019/5614892.
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In supply chain literature, supplier evaluation and selection problem is one of the most studied subjects because of the significant roles of suppliers in terms of the chain’s sustainability and profitability. Therefore, it is important for organizations to adopt a systematic way to evaluate and select the best supplier according to their respective criteria in today’s competitive environment. Multicriteria decision-making methods provide for this need of organizations because determination of an appropriate supplier selection is a multicriteria decision-making (MCDM) problem essentially. Although a lot of applications of these methods for supplier evaluation and selection can be seen in the literature, studies in the health-care sector are insufficient. Hospitals in the health-care sector also have to consider their supplier-related decisions to decrease risks and threads which affect their effectiveness. The aim of this study was to fill this gap by providing different hybrid models for selecting the best supplier for hospitals. Supplier evaluation and selection process start with recognizing the related criteria according to the studies in the literature. Analytic hierarchy process (AHP) method is deployed to weight the criteria, and suppliers are listed via technique for order preference by similarity to ideal solution (TOPSIS), elimination and choice translating reality English (ELECTRE), grey relational analysis (GRA), and simple additive weighting (SAW) methods. The main aim of this study was to present different hybrid MCDM methods and show their efficiency and consistency with each other. In this study, hybrid multicriteria decision-making models (AHP-TOPSIS, AHP-ELECTRE, AHP-GRA, and AHP-SAW) are presented and compared. The results show that the presented hybrid methods in this study are consistent with each other and give the same ranking for the selection of the best supplier. It can be considered as a useful guideline for hospitals.
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Nair, Anand, Jayanth Jayaram, and Ajay Das. "Strategic purchasing participation, supplier selection, supplier evaluation and purchasing performance." International Journal of Production Research 53, no. 20 (June 11, 2015): 6263–78. http://dx.doi.org/10.1080/00207543.2015.1047983.
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Yang, Chang Hui. "Supplier Selection of Multi-Agent Logistic System." Key Engineering Materials 467-469 (February 2011): 614–19. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.614.
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Choosing supplier with better quick response ability becomes more and more important. In this paper, the criterion of evaluating supplier is put forward and a method of evaluating supplier is introduced. To improve the efficiency of selecting supplier, a multi-agent system of supplier selection based on evaluating supplier is developed. Recurring to the supplier’s related data collected by data-mining agent from external web-server, the weights of criteria can be confirmed. And using the system, the supplier with better QRA can be selected based on the measuring results.
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Wang, Chia-Nan, Ching-Yu Yang, and Hung-Chun Cheng. "Fuzzy Multi-Criteria Decision-Making Model for Supplier Evaluation and Selection in a Wind Power Plant Project." Mathematics 7, no. 5 (May 10, 2019): 417. http://dx.doi.org/10.3390/math7050417.
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In order to meet ambitious growth targets in the medium term, Vietnam must continue exploiting traditional energy sources. In the longer term, Vietnam has to develop a strategy and roadmap for the development of new energy sources. In these new energy sources, wind energy has emerged as a viable option. Given the geographic conditions of a locality with a long coastline and high winds that are fairly distributed all year, many wind-power plants are being built in Vietnam. One of the most important pieces of equipment in a wind-power plant is the wind turbine. The wind turbine suppliers’ selection is a complex and multicriteria decision-making (MCDM) process that can reduce the costs of procuring equipment and aid in receiving products on time. Many studies have applied the MCDM model to various fields of science and engineering. One of the fields that the MCDM approaches have been applied to is the supplier selection problem. Supplier selection is an important issue of the MCDM model. Especially in a renewable energy project, decision-makers have to evaluate both natural and society factors. Although some researchers have reviewed the applications of the MCDM model in wind turbine supplier selection, limited work has focused on this problem in a fuzzy environment. Therefore, in this work, the authors propose a fuzzy MCDM model for the wind turbine supplier selection process under fuzzy environment conditions. In the first step, all factors for wind turbine supplier selection are identified by supply chain operations reference (SCOR) metrics and the results from a review of the literature. A fuzzy analytic network process (FANP) model is applied for determining the weight of all the criteria in the second stage, and the technique for order preference by similarity to an ideal solution (TOPSIS) model is used to rank all the potential suppliers in the final stage. As a result, Decision-Making Unit 010 (DMU010) becomes an optimal option for the wind turbine supplier selection processes. The contribution of this research is to develop new hybrid fuzzy MCDM approaches for wind turbine supplier selections. Furthermore, this work presents useful guidelines for wind turbines as well as provides a guideline for supplier selection in other industries.
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Salam, Mohammad Asif, and Sami A. Khan. "Achieving supply chain excellence through supplier management." Benchmarking: An International Journal 25, no. 9 (November 29, 2018): 4084–102. http://dx.doi.org/10.1108/bij-02-2018-0042.
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PurposeThe purpose of this paper is to develop a supplier selection and management program to improve overall supplier performance.Design/methodology/approachSupplier performance is measured in terms of quality and delivery within a fast moving consumer goods (FMCG) business of a multinational company based in Thailand using a case study methodology. The quality and delivery related data were collected from daily deliveries at the manufacturing plant both before and after implementing the supplier management program.FindingsFindings of the study suggest that the selection of suppliers based on their performance is important for manufacturing firms. Moreover, the supplier selection and management program can contribute effectively to improving suppliers’ performance.Research limitations/implicationsThis case study has been conducted based on a single company within the FMCG industry. Hence, it limits the generalizability of the findings across industries.Practical implicationsThe study provides a real-life tool for practitioners to learn about the importance of strategic decision-making process pertaining to the supplier selection and management program.Social implicationsThis study demonstrates that through a transparent supplier evaluation process, the firms can develop trust and long-term relationship with their suppliers for pursuing the goals of product development and innovation.Originality/valueImplementing a supplier management system is a critical step in enhancing an organization’s overall competitiveness. To develop an effective supplier management system firms must have objective measures and share those with their suppliers. Developing metrics for suppliers’ evaluation is the key to achieving continuous improvement as evidenced in this case.
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Jiang, Hao Hao. "Supplier Selection Based on the Principal Component Analysis." Applied Mechanics and Materials 94-96 (September 2011): 2265–69. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.2265.
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Today’s construction quality signifies a lot to the tomorrow’s rate of return on investment for the project. The supplier selection has a pivotal role in engineering management; it occupies an important place for ensuring the construction quality in the project construction activities. So choosing suitable suppliers has become to be an important development strategy of the modern construction enterprise. The principal component analysis, one of the multivariate statistical analyses, particularly applicable to this kind of problem. This article systematically discusses this method of choice and evaluation to the supplier, and puts forward views that use principal component analysis to evaluation supplier is practical and scientific, and gives a practical case.
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Wang, Chia-Nan, Hsiung-Tien Tsai, Thanh-Phong Ho, Van-Thanh Nguyen, and Ying-Fang Huang. "Multi-Criteria Decision Making (MCDM) Model for Supplier Evaluation and Selection for Oil Production Projects in Vietnam." Processes 8, no. 2 (January 21, 2020): 134. http://dx.doi.org/10.3390/pr8020134.
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The following research utilizes Multi-Criteria Decision Making (MCDM) in order to build a business strategy to reduce product costs, improve competitiveness, focus on production planning based on actual operating capacity and flexible adjustment according to the market, maximize the labor productivity of technology workshops, reduce costs and inventory, and focus on producing many petrochemical products and products of high economic value. Selecting the right materials supplier is of paramount importance to the success of the organization as a whole. Supplier evaluation and the selection of a suitable supplier is a complex problem in which the decision maker must consider both qualitative and quantitative factors. Multi-Criteria Decision Making Models are an effective tool used to solve complex selection issues including multiple criteria and options, especially for qualitative variables. Thus, the author proposes an MCDM model including the Supply Chain Operation Reference (SCOR) model, analytic hierarchy process (AHP) and the Data Envelopment Analysis (DEA) method to evaluate and select the optimal supplier in the oil industry. The criteria used to evaluate potential suppliers are determined through the SCOR model, the weight of all criteria are defined by the AHP model through an expert’s opinion, and DEA is used to rank providers at the final stage. After the model implementation and the results, decision-making unit DMU_01, DMU_04 and DMU_10 are shown to be the best suppliers. This research provides a Multi-Criteria Decision Making model for supplier evaluation and selection in oil production projects. This research also presents useful guidelines for supplier selection processes in other industries.
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Zhang, Jing, Dong Yang, Qiang Li, Benjamin Lev, and Yanfang Ma. "Research on Sustainable Supplier Selection Based on the Rough DEMATEL and FVIKOR Methods." Sustainability 13, no. 1 (December 23, 2020): 88. http://dx.doi.org/10.3390/su13010088.
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In competitive global markets, sustainable suppliers are critical success factors for sustainable supply chain operations. Sustainable supplier selection must be based on a complex network of numerous indicators and experts’ fuzzy linguistic terms. Considering the correlation between the evaluation criteria and the ambiguity of the criteria values, this paper proposes combining the rough DEMATEL method and the fuzzy VIKOR (FVIKOR) method to solve sustainable supplier selection problem. We determine 15 sustainable supplier evaluation criteria from economic, environmental and social dimensions. We also apply the rough DEMATEL method to determine the weight of evaluation indicators that are interrelated or even conflicting and use the FVIKOR method to determine supplier rankings by converting the fuzzy linguistic terms into precise information. The practicability of the proposed method is verified by an example of sustainable supplier selection.
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Liu, Yong, and Qi Wei. "Case Study of Optimal Material Suppliers Selection by the Value Engineering Theory." Applied Mechanics and Materials 155-156 (February 2012): 887–91. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.887.
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Engineering materials suppliers' selections directly affect the quality of the construction and economic benefits. Based on the basic principles and methods of the value engineering theory, this paper discussed the application method and basic steps of the value engineering in engineering material supplier optimization program. Combined with practical engineering, the optimal scheme of concrete material supplier is an example. The results showed that, using the basic method of the value engineering theory, through the function evaluation, cost evaluation and value evaluation coefficient calculation, can determine the optiaml material supplier and provide scientific and reasonable basis.
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Ramakrishnan, Krishnapuram Ravi, and Shankar Chakraborty. "A CLOUD TOPSIS MODEL FOR GREEN SUPPLIER SELECTION." Facta Universitatis, Series: Mechanical Engineering 18, no. 3 (October 11, 2020): 375. http://dx.doi.org/10.22190/fume200307036r.
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Due to stringent governmental regulations and increasing consciousness of the customers, the present day manufacturing organizations are continuously striving to engage green suppliers in their supply chain management systems. Selection of the most efficient green supplier is now not only dependant on the conventional evaluation criteria but it also includes various other sustainable parameters. This selection process has already been identified as a typical multi-criteria group decision-making task involving subjective judgments of different participating experts. In this paper, a green supplier selection problem for an automobile industry is solved while integrating the Cloud model with the technique for order of preference by similarity to an ideal solution (TOPSIS). The adopted method is capable of dealing with both fuzziness and randomness present in the human cognition process while appraising performance of the alternative green suppliers with respect to various evaluation criteria. This model identifies green supplier S4 as the best choice. The derived ranking results using the adopted model closely match with those obtained from other variants of the TOPSIS method. The Cloud model can efficiently take into account both fuzziness and randomness in a qualitative attribute, and effectively reconstruct the qualitative attribute into the corresponding quantitative score for effective evaluation and appraisal of the considered green suppliers. Comparison of the derived ranking results with other MCDM techniques proves applicability, potentiality and solution accuracy of the Cloud TOPSIS model for the green supplier selection.
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Bao, Xi, and Fenfen Li. "A methodology for supplier selection under the curse of dimensionality problem based on fuzzy quality function deployment and interval data envelopment analysis." PLOS ONE 16, no. 7 (July 14, 2021): e0253917. http://dx.doi.org/10.1371/journal.pone.0253917.
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Supplier selection is an important decision-making problem, which involves many quantitative and qualitative factors incorporating vagueness and imprecision. This study proposes a novel fuzzy multi-criteria decision-making framework for supplier selection, which integrates quality function deployment (QFD) and interval data envelopment analysis (DEA). The proposed methodology allows for considering the relationships among the product features and supplier evaluation criteria (SEs) and the impacts of inner dependence among SEs by constructing a house of quality (HOQ). Considering that the number of supplier evaluation indicators is greater than the number of suppliers in some cases, the curse of dimensionality problem usually exists. To solve this problem, we combine the HOQ, interval DEA models, and forward-stepwise selection approach to screen supplier evaluation indicators and select the best supplier(s). Through the two-stage supplier selection method, we can achieve the double screening of indicators and determine the final supplier(s). Finally, the application of the proposed framework is demonstrated through a numerical example and a sensitivity analysis is also carried out to verify the stability of the proposed methodology. This study focuses on supplier selection based on the combination of fuzzy QFD and interval DEA, and also provide a new two-phase methodology for DEA indicator screening.
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Xu, Shi, Zhang, and Liu. "Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment." Sustainability 11, no. 23 (November 22, 2019): 6616. http://dx.doi.org/10.3390/su11236616.
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With the increasing awareness of global environmental protection, green production has become a significant part for enterprises to remain in a competitive position. For a manufacturing company, selecting the most suitable green supplier plays an important role in enhancing its green production performance. In this paper, we develop a new green supplier evaluation and selection model through the combination of heterogeneous criteria information and an extended multi-attributive border approximation area comparison (MABAC) method. Considering the complexity of decision context, heterogeneous information, including real numbers, interval numbers, trapezoidal fuzzy numbers, and linguistic hesitant fuzzy sets, is utilized to evaluate alternative suppliers with respect to the selected criteria. A maximizing consensus approach is constructed to determine the weight of each decision-maker based on incomplete weighting information. Then, the classical MABAC method is modified for ranking candidate green suppliers under the heterogeneous information environment. Finally, the developed green supplier selection model is applied in a case study from the automobile industry to illustrate its practicability and efficiency.
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Raut, Rakesh D., Bhaskar B. Gardas, Balkrishna Eknath Narkhede, and Linda L. Zhang. "Supplier selection and performance evaluation for formulating supplier selection strategy by MCDM-based approach." International Journal of Business Excellence 20, no. 4 (2020): 500. http://dx.doi.org/10.1504/ijbex.2020.106434.
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Zhang, Linda L., Balkrishna Eknath Narkhede, Bhaskar B. Gardas, and Rakesh D. Raut. "Supplier selection and performance evaluation for formulating supplier selection strategy by MCDM-based approach." International Journal of Business Excellence 20, no. 4 (2020): 500. http://dx.doi.org/10.1504/ijbex.2020.10028057.
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Luo, Zhenhua, Jian He, Haize Pan, and Yiluan Yang. "Research on the Selection Strategy of Green Building Parts Supplier Based on the Catastrophe Theory and Kent Index Method." Advances in Materials Science and Engineering 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/4673526.
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At present, the green building and housing industrialization are two mainstream directions in the real estate industry. The production of green building parts which combines green building and housing industrialization, two concepts, is to be vigorously developed. The key of quality assurance in the assembly project is choosing reliable and proper green building parts suppliers. This paper analyzes the inherent requirements of the green building, combined with the characteristics of the housing industrialization, and puts forward an evaluation index system of supplier selection for green building parts, which includes product index, enterprise index, green development index, and cooperation ability index. To reduce the influence of subjective factors, the improved method which merges Kent index method and catastrophe theory is applied to the green building parts supplier selection and evaluation. This paper takes the selection of the unit bathroom suppliers as an example, uses the improved model to calculate and analyze the data of each supplier, and finally selects the optimal supplier. With combination of the Kent index and the catastrophe theory, the result shows that it can effectively reduce the subjectivity of the evaluation and provide a basis for the selection of the green building parts suppliers.
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Huang, Xiao Rong, Shun Sheng Guo, and Xiao Bing Yu. "Supplier Evaluation Based on Mobile Agent and Information Credibility." Advanced Materials Research 97-101 (March 2010): 3587–92. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.3587.
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Supplier evaluation is the most vital action of supplier selection. Supplier evaluation data is divided into two kinds: the qualitative and the quantitative. In this study, it proposes through using mobile agent to obtain quantitative data from suppliers and expert rating methods to get qualitative data. To deal with the inconsistency of time period about getting these two types data, a new method is proposed to process the qualitative data by the establishment of information credibility about evaluation data. The obtained results show that the proposed method is well suited for supplier evaluation to shorten the evaluation cycle and enhance the timeliness.
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Fu, Mian, and Dandan Wang. "Evaluation of Unit Canteen Suppliers Based on Entropy Method and Analytic Hierarchy Process." E3S Web of Conferences 218 (2020): 03054. http://dx.doi.org/10.1051/e3sconf/202021803054.
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With the selection of canteen suppliers as the research object, a canteen supplier evaluation indicator system with four primary indicators and 15 secondary indicators is established in this paper by analyzing the key factors influencing the selection of canteen supplier. At the same time, a case study of four food suppliers of a unit canteen in Hefei, Anhui Province is conducted by comprehensive use of analytic hierarchy process (AHP) and entropy weight method, and some relevant countermeasures and suggestions are proposed.
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Azadfallah, Mohammad, and Zeinab Farjood Chokami. "Supplier Evaluation/Selection in Behavioral Aspects Consideration." Siddhant- A Journal Of Decision Making 20, no. 3and4 (2020): 73–86. http://dx.doi.org/10.5958/2231-0657.2020.00009.9.
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Szmelter-Jarosz, Agnieszka. "DEMATEL Method in Supplier Evaluation and Selection." Transport Economics and Logistics 82 (May 7, 2019): 129–42. http://dx.doi.org/10.26881/etil.2019.82.11.
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The increasing complexity of supply chains creates a number of areas that need to be optimized. Complicated relations between different actors on various markets indicate the need for simplification of the decision-making process and, at the same time, being focused on the organization’s goals and needs. The development of multi-criteria methods of supporting decision making applies in particular to the area of logistics support, including supply management. One of the methods widely used in this field is the DEMATEL method, which is a classical approach to evaluate suppliers according to survey or interview results. The article aims to present the application of the supplier evaluation procedure according to the criteria indicated by the decision-makers as significant. The literature review was used for specifying the variables. Then, the evaluation procedure was presented, followed by an empirical example. The paper can be useful for decision-makers both in single organizations and supply chains to improve their evaluation procedures to meet the requirements about which they care the most.
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Thakur, Vikas, and Ramesh Anbanandam. "Supplier selection using grey theory: a case study from Indian banking industry." Journal of Enterprise Information Management 28, no. 6 (October 12, 2015): 769–87. http://dx.doi.org/10.1108/jeim-07-2014-0075.
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Purpose – As the suppliers of any organization are considered as the strategic partners and taken as the integral part of the supply chain network, hence it is very crucial decision to select the suppliers in order to get the competitive edge. Whenever, any organization select its suppliers then organization evaluates every supplier with respect to certain criteria, which are already listed in the organization’s policies. Since supplier selection is based on the evaluation of various attributes of each alternative; therefore this problem is a multi-attribute decision-making (MADM) problem. The purpose of this paper is to propose a model for selecting the best supplier. Design/methodology/approach – This paper reports the implementation of grey theory to choose the appropriate supplier with uncertain information. Grey values have been used to give the ratings and weightage to various criteria which are being used to evaluate the different supplier alternatives. And finally the grey possibility degree has been calculated to rate the various alternatives. Findings – This paper proposed a MADM model based on grey theory to select the optimal supplier and finally, the proposed model has been applied to select the best supplier for “optimizing digital banking” in the Indian context. Research limitations/implications – The selection criteria selected here through literature review may not fit the whole industry and moreover this paper can be extended into the field where multiple-supplier selection is required, like in manufacturing sector where the authors cannot rely always on single supplier. So, in that case the authors need to pick more than one best alternatives. Practical implications – The grey theory approach can be applied almost all the services industries, where the exact information about the suppliers in quantitative terms is very difficult to find. So the authors can use the grey numbers to rate the suppliers. Social implications – Since, the coming generation is more dependent on the internet banking, so it becomes very much necessary for the banking sector to update the existing system. Due to lack in technical skills, outsourcing the information technology and software development is the best option. Hence, Grey theory based model can be used in selecting the best supplier under uncertain information. Originality/value – Very few studies have been done in India using grey theory approach for supplier selection and moreover, to the best knowledge of the authors’ this is the first study which employs grey theory for selecting the best supplier in banking industry. Moreover the digital banking system is the future of banking industry, so every player should provide the digital banking structure in order to survive in the market.