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Journal articles on the topic 'Sustainable Supplier Selection'
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Castro e Silva, Andreia de, Robson Seleme, Wiliam de Assis Silva, Izabel Cristina Zattar, Elpidio Oscar Benitez Nara, Osiris Canciglieri Júnior, and Lisianne Brittes Benitez. "Evaluation and Choice Criteria of Sustainable Suppliers in the Construction Industry: A Comparative Study in Brazilian Companies." Sustainability 14, no. 23 (November 25, 2022): 15711. http://dx.doi.org/10.3390/su142315711.
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This article seeks to develop criteria for evaluating sustainable suppliers in civil construction and to contribute to improving the understanding of the factors that influence the selection of sustainable suppliers. Organizations should develop strategies that motivate suppliers to participate in green supply-chain initiatives, as supplier selection can directly interfere with sustainability performance at work. However, there is a gap in the research that addresses the selection of sustainable suppliers in the Brazilian context of civil construction related to certifications for sustainable construction. To fill this gap, the present article used literature-review methodologies, content analysis, data triangulation, and field research through a survey. The literature review identifies the certifiable standards for sustainable construction most cited in the literature: LEED, AQUA, BREEAM, and CASBEE. The standards analysis allows us to identify seven similar supply criteria for sustainable construction certifications. The parameters of each certification were analyzed to define those related to the selection of suppliers, identifying those that qualify a supplier as environmentally sustainable. We found that 60.7% of respondents work in companies without certifications, 75% know sustainable procurement, 50% of companies had established a sustainable procurement policy, and 83% of companies had a strategy for selecting suppliers. The results of this research contribute to construction companies being able to rank the importance of these criteria when choosing a supplier, in addition to having access to the mapping of essential criteria, allowing a search for greater interaction between the links of the green supply chain and rendering buildings and supplies more sustainable.
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Pandey, Peeyush, Bhavin J. Shah, and Hasmukh Gajjar. "A fuzzy goal programming approach for selecting sustainable suppliers." Benchmarking: An International Journal 24, no. 5 (July 3, 2017): 1138–65. http://dx.doi.org/10.1108/bij-11-2015-0110.
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Purpose Due to the ever increasing concern toward sustainability, suppliers nowadays are evaluated on the basis of environmental performances. The data on supplier’s performance are not always available in quantitative form and evaluating supplier on the basis of qualitative data is a challenging task. The purpose of this paper is to develop a framework for the selection of suppliers by evaluating them on the basis of both quantitative and qualitative data. Design/methodology/approach Literature on sustainability, green supply chain and lean practices related to supplier selection is critically reviewed. Based on this, a two phase fuzzy goal programming approach integrating hyperbolic membership function is proposed to solve the complex supplier selection problem. Findings Results obtained through the proposed approach are compared to the traditional models (Jadidi et al., 2014; Ozkok and Tiryaki, 2011; Zimmermann, 1978) of supplier selection and were found to be optimal as it achieves higher aspiration level. Practical implications The proposed model is adaptive to solve real world problems of supplier selection as all criteria do not possess the same weights, so the managers can change the criteria and their weights according to their requirement. Originality/value This paper provides the decision makers a robust framework to evaluate and select sustainable supplier based on both quantitative and qualitative data. The results obtained through the proposed model achieve greater satisfaction level as compared to those achieved by traditional methods.
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Barrera, Felipe, Marina Segura, and Concepción Maroto. "Sustainable Technology Supplier Selection in the Banking Sector." Mathematics 10, no. 11 (June 3, 2022): 1919. http://dx.doi.org/10.3390/math10111919.
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Sustainable supplier selection is a key strategic problem in supply chain management. The aim of this research is to provide a new hybrid multicriteria model for evaluating technology suppliers and validate it with a case study in the banking sector. This approach allows companies to perform qualification, selection, ranking and sorting of suppliers on a sustainable basis. Integration of several techniques is necessary to address this complex decision problem with conflicting economic, environmental and social criteria. Analytic hierarchy process (AHP) is useful for problem structuring and weighting criteria collaboratively. Multi-attribute utility theory (MAUT) is applied to obtain indicators for product quality and supplier risks, whose utility functions are derived by data-driven models that favour evaluation objectivity and transparency. Preference ranking organisation method for enrichment evaluation (PROMETHEE) is suitable for supplier selection due to its discriminant power among alternatives. Finally, FlowSort is proposed to classify suppliers into ordered groups and the outcomes are compared with results from MAUT. Results show its applicability by increasing process transparency and reducing operational risks in practice.
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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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Kuo, Tsai-Chi, Muniroh Muniroh, and Kristin Halisa Fau. "An Integrated Kano Model, Fuzzy Analytical Hierarchy Process, and Decision Matrix for Sustainable Supplier Selection in Palm Oil Industries Indonesia, a Case Study." Processes 9, no. 6 (June 21, 2021): 1078. http://dx.doi.org/10.3390/pr9061078.
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Industries have to integrate environmental, social, and economic aspects into their supply chain management to achieve sustainability. Hence, the industry needs to take appropriate actions in choosing the right suppliers. The aim of this study is to develop a framework for selecting sustainable suppliers by integrating quality management tools using the Kano model, Fuzzy Analytical Hierarchy Process, and Decision Matrix Method. To identify the critical sustainability criteria, the Kano model by the clustering the criteria for sustainable selection supplier was used. We then used the Fuzzy Analytical Hierarchy Process to determine the weight of each criterion and applied the Decision Matrix Method to select the most sustainable supplier. Afterward, the appropriate proposed framework was implemented in one of the palm oil industries in Indonesia to validate that the framework is applicable and useful. The study shows that the environmental dimension is the most sustainable supplier criteria followed by economy and social dimension. Quality, pollution control, and information disclosures were found to be important sub-dimensions for sustainable supplier selection.
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Ada, Nesrin. "Sustainable Supplier Selection in Agri-Food Supply Chain Management." International Journal of Mathematical, Engineering and Management Sciences 7, no. 1 (January 1, 2022): 115–30. http://dx.doi.org/10.33889/ijmems.2022.7.1.008.
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In recent times, sustainability of supply chains becomes the most interested subject by customers, firms, government bodies, academia, and suppliers as the environmental resources reveal as the most valuable and limited asset for human beings. One of the most important elements determining the performance of sustainable agri-food supply chain business is supplier’s commitment. A mainly inspiring feature in this domain is the wide range of factors influencing supplier selection decision-making process in Triple Bottom Line context must be analyzed. However, it is not easy to completely integrate and measure majority of these factors in a simple optimization model. Therefore, this paper starts with a comprehensive review of literature about supplier selection for sustainable supply chains (SSCs) development. Afterwards, a new two-steps hybrid solution method is suggested. In initial step, a set of criteria for supplier selection process is analyzed built on Fuzzy Analytic Network Process (FANP). The result of the first step is fed in to the second step of the analysis to design a model with multiple objectives for selection process of supplier using fuzzy VIKOR. All three dimensions of sustainability; specifically, factors such as weather, water and soil footprint, energy and material consumption, employment, social services and finally financial performance of supply chain are considered concurrently. The suggested approach generates a comprehensive model to help supply chain managers in supplier selection process. Numerical analysis is completed via exploiting data from a Turkish agri-food company case for validating effectiveness, also and success of the proposed solution. Final analytical results of the analysis provide valuable business policy oriented, operational and practical insights on the influence of economic, environmental, and social sustainability for enhanced supplier relationship management module in sustainable supply chain structure. Moreover, by tracking environmental impact indicators such as, emission and pollution rates, footprint rates, against social and cost indicators it would be possible to perform tradeoff analysis for giving more sustainable decisions on new supply chain investments.
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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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Asaad, AbdulRahman, and Sameh Monir El-Sayegh. "Key criteria for selecting green suppliers for construction projects in the UAE." Journal of Financial Management of Property and Construction 26, no. 2 (April 8, 2021): 201–18. http://dx.doi.org/10.1108/jfmpc-11-2019-0083.
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Purpose This paper aims to identify and assess the key criteria for selecting green suppliers in the United Arab Emirates (UAE) construction industry. Design/methodology/approach A total of 20 criteria were identified and shortlisted through an extensive literature review. These criteria were grouped into four categories: technical and commercial bid, company characteristics, environmental and socioeconomic. A questionnaire was then developed and distributed to construction professionals in the UAE. A total of 39 professionals responded to the survey including contractors, consultants, owners and suppliers. The respondents performed pairwise comparisons among the selection criteria. Data was then analyzed using the Expert Choice Software. Findings The research findings highlighted that the technical and commercial bid category was ranked as the most important with a weight of 0.338, followed by socioeconomic, company characteristics and environmental categories weighing 0.239, 0.225 and 0.199, respectively. The UAE construction professionals also ranked health and safety, material’s quality and tender price as the top three most important criteria when selecting a sustainable supplier. Practical implications This research addresses the lack of literature toward green supplier selection in the UAE. In addition, it assists contractors in selecting the appropriate supplier and promotes sustainable practices in the construction industry. Originality/value Material suppliers play an important role in the successful delivery of construction projects. Selecting the appropriate supplier is of paramount importance to project success. Several methods can be used to evaluate and select the best-fit suppliers. However, the selection criteria in such methods are primarily based on traditional construction projects rather than sustainable construction projects. Recently, there is an increase in the number of sustainable construction projects in the UAE. Therefore, identifying and assessing the key criteria for selecting green suppliers is needed. This paper fills the gap in literature as to selecting green suppliers in construction projects.
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Rao, Congjun, Mark Goh, and Junjun Zheng. "Decision Mechanism for Supplier Selection Under Sustainability." International Journal of Information Technology & Decision Making 16, no. 01 (January 2017): 87–115. http://dx.doi.org/10.1142/s0219622016500450.
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Against the backdrop of responsible economic development, sustainable supply chain management (SSCM) is key to achieving the sustainable development for enterprise and industry. In this regard, sustainable supplier selection is crucial in SSCM. By integrating the three dimensions of sustainability, economic, environmental and social, this paper presents a new evaluation system for supplier selection from a sustainability perspective. Specifically, we design a decision mechanism for sustainable supplier selection based on linguistic 2-tuple grey correlation degree. In this proposed mechanism, the hybrid attribute values whereby real numbers, interval numbers and linguistic fuzzy variables coexist are transformed into linguistic 2-tuples. A ranking method based on linguistic 2-tuple grey correlation degree is then presented to rank the suppliers. An application example is presented to highlight the implementation, availability and feasibility of the proposed decision making mechanism.
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Rahmadani, M., and Suparno. "Risk analysis for sustainable supplier selection." Journal of Physics: Conference Series 1726 (January 2021): 012005. http://dx.doi.org/10.1088/1742-6596/1726/1/012005.
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Fotova Čiković, Katerina, Ivana Martinčević, and Joško Lozić. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis." Sustainability 14, no. 11 (May 30, 2022): 6672. http://dx.doi.org/10.3390/su14116672.
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The supplier selection process is a strategic decision-making process that influences the company’s sustainability. Lately, the sustainability concept has been highlighted as an organization’s source of success and profitability. Therefore, the selection of a sustainable supplier has become an imperative for organizations and is the focus of this manuscript. Suppliers are key stakeholders in the supply chain, and their proper selection is a key factor in a successful and sustainable supply chain. For this reason, it is crucial to determine how and which methods are mostly used by companies when choosing sustainable suppliers with the aim of examining whether the Data Envelopment Analysis (DEA) contributes to the same. This article is the first to present a comprehensive bibliometric analysis of 87 articles dealing with the application of DEA in the sustainable supplier selection in the period 2010–2022, with the application of the keywords “Data Envelopment Analysis”, “Supplier”, and “Sustainable” in Scopus and Web of Science databases. The main goal of this manuscript is to explore the applications of DEA in a sustainable supplier selection and to provide an analysis and visualization of bibliometric data to reveal the annual trends of published articles in this area, the top contributing journals, the most cited papers, the most contributing authors, citations, affiliations, and countries’ analysis, and an in-depth keyword visualization analysis. The findings of this study provide valuable insights and emphasize the ever-growing trend toward the selection of sustainable partners and suppliers in business using DEA methodology. Notably, this work shows the applicability and efficacy of DEA in specialized areas of supply chain management and should contribute to the construction of an overview of the existing literature on DEA studies regarding the process of selection of sustainable suppliers in supply chain management as well as stimulate the interest in the topic. This article gives an overview of a research field that is actually insufficiently explored through the scientific literature and presents a wide area and guidelines for future work.
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Xie, Ziyuan, Guixian Tian, and Yongchao Tao. "A Multi-Criteria Decision-Making Framework for Sustainable Supplier Selection in the Circular Economy and Industry 4.0 Era." Sustainability 14, no. 24 (December 14, 2022): 16809. http://dx.doi.org/10.3390/su142416809.
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Supplier selection is a difficult and important issue in sustainable supply chain management. This research proposes a managerial framework based on Industry 4.0, a plan for evaluating and choosing sustainable suppliers to implement circular economy practices. Green supplier selection (GSS), the circular economy, and Industry 4.0 have become hot topics in recent operations management discussions. Three main categories (e.g., economic, environmental, and social) and 16 subcategories related to supplier selection decisions were identified using a hybrid approach combining literature reviews and industry expert opinions. In the fuzzy environment of Pythagorean, this paper proposes comprehensive techniques for the selection of green suppliers based on entropy, stepwise weighted assessment ratio analysis (SWARA), and complex proportional assessment (COPRAS) methods. To calculate the standard weight, this technique first merges the objective weight found by the entropy method and the subjective weight found by the SWARA method. The findings show that access to finance and financial availability for implementing Industry 4.0 within the circular economy (ECO5) and R&D in environmental issues using Industry 4.0 technologies (ENV7), Information technology (IT) facilities (ECO6), and Product cost/price (ECO1) showed highest ranking among sub-criteria. Moreover, Supplier 5 was listed as the best sustainable supplier when they started making such a decision. The results of the proposed method help decision-makers make effective and efficient sustainable supplier selection.
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Faisal, Mohd Nishat, Bader Al-Esmael, and Khurram Jahangir Sharif. "Supplier selection for a sustainable supply chain." Benchmarking: An International Journal 24, no. 7 (October 2, 2017): 1956–76. http://dx.doi.org/10.1108/bij-03-2016-0042.
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Purpose The purpose of this paper is to integrate the “triple bottom line (3BL)” approach in the supplier selection decision. It also aims to consider the feedback effect of the decision on strategic factors that determine the future viability of the firm in the market. Design/methodology/approach A multi-criteria decision model is developed that considers simultaneously the impact of three dimensions of 3BL approach and their sub-dimensions on the supplier selection decision. The proposed model is evaluated for a large white goods manufacturer using the analytic network process (ANP) approach. Findings The ANP considers the impact of variables, sub-variables, and their interdependencies simultaneously. The outcome of the model is the relative priorities for the firms considered as potential suppliers. Practical implications This research was conducted in one of the largest developing economies. The impact of integrating sustainability would be widespread due to the huge market in which the company operates. The results of this research can provide support to the decision makers in arriving at an optimal decision considering all sustainability dimensions. Originality/value The novelty of the approach lies in the application of multi-criteria model integrating sustainability dimensions with a feedback effect for supplier selection. The case company would benefit by showing its commitment toward environment and social responsibility leading to improved brand image and sustainable business.
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Mariouli, Oussama El, and Abdellah Abouabdellah. "New Approach to Identify the Most Sustainable Supplier Based on IFS." International Journal of Emerging Technology and Advanced Engineering 12, no. 2 (February 17, 2022): 135–44. http://dx.doi.org/10.46338/ijetae0222_16.
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To meet the expectations of consumers, who are increasingly demanding products that respect the concept of sustainable development (SD), companies are called upon to engage in an SD approach that begins with the selection of suppliers, taking into consideration the environmental, social and economic criteria. In this paper, we present a new model of selecting the best sustainable supplier. We have developed a hybrid model, which is built by extending the fuzzy set (FS) to the intuitionistic fuzzy set theory (IFS) and with the Decision Making Trial and Evaluation Laboratory (DEMATEL) method. Our model presented, allows us to measure the weight of the selected criteria of SD, to present an approach for defining the SD strategy within companies and finally to choose among the suppliers, the best supplier who respects the concept of SD by taking into consideration the links between the axe of SD. The results of the application of our approach have shown that our model can be easily used in all companies wishing to select sustainable suppliers. Keywords—Sustainable supplier selection; sustainable development; criteria; DEMATEL; intuitionistic fuzzy set; supply chain management.
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Orji, Ifeyinwa Juliet, and Sun Wei. "Dynamic modeling of sustainable operation in green manufacturing environment." Journal of Manufacturing Technology Management 26, no. 8 (October 5, 2015): 1201–17. http://dx.doi.org/10.1108/jmtm-11-2014-0120.
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Purpose – Globally, supply chains compete in a complex and rapidly changing environment. Hence, sustainable supplier selection has become a decisive variable in the firm’s financial success. This requires reliable tools and techniques to enhance understanding on how supplier behavior evolves with time and to select the best sustainable supplier. System dynamics (SD) is an approach to investigate the dynamic behavior in which the system alterations correspond to the system variable changes. Fuzzy logic usually solves the challenges of imprecise data and ambiguous human judgment. The paper aims to discuss these issues. Design/methodology/approach – This work presents a novel modeling approach for integrating information on supplier behavior in fuzzy environment with SD simulation modeling technique. This results in a more reliable and responsible decision-support system. Supplier behavior with respect to relevant sustainability criteria were sourced through expert interviews and simulated in Vensim to select the best possible sustainable supplier. The simulation runs were carried out in four scenarios, namely, past, current, future and average time horizon for four different suppliers. A multi-criteria decision-making model was presented to compare results from the systems dynamics model. Findings – An increase in the rate of investment in sustainability by the different suppliers causes an exponential increase in total sustainability performance of the suppliers. The growth rate of the total performance of suppliers outruns their rate of investment in sustainability after about 12 months. Originality/value – While a significant work exists regarding supplier selection, little work has been found that investigates how to insure sustainable suppliers maintain their status for a long period of time.
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Rao, Ravipudi Venkata, and Sarthakkumar Patel. "Selection of sustainable and green suppliers using a fuzzy R-method in group decision-making situations." Journal of Future Sustainability 3, no. 3 (2023): 167–82. http://dx.doi.org/10.5267/j.jfs.2023.1.005.
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A growing number of companies treat "sustainability" as an important objective in their strategy. Sustainable and green suppliers increase efficiency by reducing costs and waste in industries. Sustainable and green supplier selection is a critically important factor in moving forward along the path of sustainability. A fuzzy R-method is proposed in this paper based on ranking the fuzzy numbers of alternative suppliers and criteria. Triangular fuzzy membership function and different fuzzy scales are presented to demonstrate and validate the proposed method. Fuzzy composite scores are generated, and these scores are converted into crisp forms to evaluate the alternative suppliers. The novelty of the proposed method is that it is simple, can deal with qualitative and quantitative criteria of supplier selection, and requires less computational effort for evaluating and ranking the green and sustainable suppliers in fuzzy group decision-making situations. The weights of the criteria and alternative suppliers are generated using a simple equation and hence there is no need to apply different methods for weights generation and ranking. Furthermore, this method does not require normalization of the data. Two realistic group decision-making problems of green and sustainable supplier selection to test the method. Sensitivity analysis for the proposed method is also conducted to check the consistency of the proposed method to different weights of the criteria. The proposed method is effective, robust, and competitive to the existing multi-criteria decision making (MCDM) methods of sustainable supplier selection.
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Laulita, Nasar Buntu. "The impact of sustainable supplier selection to supplier performance in mining industry: ethical culture as moderating variable." BISMA (Bisnis dan Manajemen) 14, no. 1 (October 30, 2021): 63–73. http://dx.doi.org/10.26740/bisma.v14n1.p63-73.
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Sustainable supplier selection during tender is one of the critical factors in the supply chain management to maintain sustainable procurement in an organisation. Many factors contribute to the success of sustainable supplier selection practices, and ethical culture is one of the factors because it would influence supplier selection. This study aims to determine the effect of implementing sustainable supplier selection on supplier performance by moderating the effect of ethical culture in the mining industry. This type of research is explanatory research with hypothesis testing of 104 respondents by distributing questionnaires. The data analysis is conducted by Structural Equation Model (SEM). The research shows that the construct of sustainable supplier selection with economic, social, and environmental aspects as dimensions has a direct and significant impact on supplier performance in the mining industry. This research also shows that ethical culture has a significant moderating effect in the relationship between sustainable supplier selection and supplier performance. The managerial implication of this research is providing guideline for decision-makers to implement sustainable supplier selection by considering economic, social, and environmental aspects while maintaining an ethical culture as a part of work professionalism to maintain sustainable performance in the mining industry.
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Yu, Chunxia, Wenfan Zhao, and Ming Li. "An integrated sustainable supplier selection approach using compensatory and non-compensatory decision methods." Kybernetes 48, no. 8 (September 2, 2019): 1782–805. http://dx.doi.org/10.1108/k-02-2018-0063.
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Purpose Due to the increasing awareness of environmental and social issues, many practitioners and researchers have paid attention to sustainable supply chain management. As the performance of suppliers determines the success of supply chains, sustainable supplier selection becomes more and more important. Existing sustainable supplier selection models evaluated the sustainability of suppliers in three aspects (economic, environmental and social) and assumed that values on different criteria can completely compensate for each other directly. However, in reality, criteria in economic, environmental and social aspects are heterogeneous, and the decision-maker’s preferences on criteria belonging to different aspects are different. In this case, values on criteria belonging to different aspects are not allowed to completely compensate for each other directly. To solve this problem, this paper aims to propose a hybrid sustainable supplier selection approach integrating compensatory and non-compensatory decision rules. Design/methodology/approach In the proposed approach, the compensatory decision method Technique for Order of Preference by Similarity to Ideal Solution is used to evaluate performances of suppliers with respect to economic, environmental and social aspects. The non-compensatory decision method Elimination and Choice Translating Reality is used to evaluate performances of suppliers on sustainable criteria comprehensively. Through the proposed approach, only criteria belonging to the same aspects are allowed to compensate for each other directly. Finally, experimental results show that the proposed integrated approach is effective and efficient to help the decision-maker select optimal sustainable suppliers. Findings This is an original approach that integrates compensatory and non-compensatory decision rules, which can benefit from the two kinds of decision rules simultaneously. The integrated approach can be used as an aid for companies to select the best sustainable suppliers. Originality/value This paper presents an original integrated sustainable supplier selection approach using both compensatory and non-compensatory methods. It can benefit from the advantages of both compensatory and non-compensatory methods. The proposed approach can express preferences of the decision-maker on sustainable criteria sufficiently and maximize economic benefits while meeting environmental needs.
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Phochanikorn, Patchara, and Chunqiao Tan. "A New Extension to a Multi-Criteria Decision-Making Model for Sustainable Supplier Selection under an Intuitionistic Fuzzy Environment." Sustainability 11, no. 19 (September 30, 2019): 5413. http://dx.doi.org/10.3390/su11195413.
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The increase of environmental pollution has led to the rise of sustainable awareness in recent years. This trend has motivated various industries to recognize the importance of implementing sustainable supply chain practices to seek economic, environmental and social advantages. From a sustainability perspective, selecting a suitable supplier is the main component of modern enterprises. It is also a challenging problem since several criteria concerning supplier selection are interdependent with a complex character. Therefore, the contribution of this paper is a new extension to multi-criteria decision-making model (MCDM) under an intuitionistic fuzzy environment for sustainable supplier selection (SSS) based on sustainable supply chain management SSCM practices. It consists of intuitionistic fuzzy set theory (IFS) with a decision making trial and evaluation laboratory (DEMATEL) combined with an analytic network process (ANP) to identify uncertainties and interdependencies among criteria as well as analyzing the criteria weights. We modified Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to evaluate and rank the desired level of sustainable supplier performance. The suggested approach is conducted by a case study from the Thailand palm oil industry. Results show that the proposed model not only can find the most suitable sustainable supplier, but also the enterprises can aid their suppliers in improving sustainability by using the proposed method and can improve enterprises’ socio-environmental performance, which is key to achieving sustainable development.
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Bai, Chunguang, and Joseph Sarkis. "INTEGRATING SUSTAINABILITY INTO SUPPLIER SELECTION: A GREY-BASED TOPSIS ANALYSIS." Technological and Economic Development of Economy 24, no. 6 (November 21, 2018): 2202–24. http://dx.doi.org/10.3846/tede.2018.5582.
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Sustainable supplier selection plays an important role in sustainable supply chain management operations and implementation. In this paper a novel formal modeling approach is conceptually developed and presented to address sustainable supplier selection. Grey theory and TOPSIS, a distance based multiple criteria method, are used for the integration and evaluation of sustainable supplier performance for sustainable supplier selection. From a research perspective, TOPSIS is improved to more effectively deal with grey numbers by integrating a degree of likelihood rather than converting grey numbers into crisp numbers functions, and it provides more flexible supplier rankings. This methodology strengthens the sustainable supplier selection process, and can be applied to other multiple criteria decision making problems. Illustrative calculations are made using data on sustainable supplier selection and evaluation published by Bai and Sarkis (2010). The technique is relatively accurate, matching well with results from a published grey rough set approach. The methodology easily implementable with minimal complex calculations required. It can also provide support for sustainable supplier selection, benchmarking, and improvement decisions. This is one of the first papers to integrate a broad set of sustainability factors for grey-based TOPSIS and supplier selection.
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Kim, Jong Soo, Eunhee Jeon, Jiseong Noh, and Jun Hyeong Park. "A Model and an Algorithm for a Large-Scale Sustainable Supplier Selection and Order Allocation Problem." Mathematics 6, no. 12 (December 13, 2018): 325. http://dx.doi.org/10.3390/math6120325.
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We consider a buyer’s decision problem of sustainable supplier selection and order allocation (SSS & OA) among multiple heterogeneous suppliers who sell multiple types of items. The buyer periodically orders items from chosen suppliers to refill inventory to preset levels. Each supplier is differentiated from others by the types of items supplied, selling price, and order-related costs, such as transportation cost. Each supplier also has a preset requirement for minimum order quantity or minimum purchase amount. In the beginning of each period, the buyer constructs an SSS & OA plan considering various information from both parties. The buyer’s planning problem is formulated as a mathematical model, and an efficient algorithm to solve larger instances of the problem is developed. The algorithm is designed to take advantage of the branch-and-bound method, and the special structure of the model. We perform computer experiments to test the accuracy of the proposed algorithm. The test result confirmed that the algorithm can find a near-optimal solution with only 0.82 percent deviation on average. We also observed that the use of the algorithm can increase solvable problem size by about 2.4 times.
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Moradi Deluyi, Amir Hosein, Saudah Sofian, Abu Bakar Abdul Hamid, and Mostafa Kazemi. "Screening Efficiency and Entrepreneurship Potential in Automotive Suppliers Using DEA." Applied Mechanics and Materials 554 (June 2014): 510–14. http://dx.doi.org/10.4028/www.scientific.net/amm.554.510.
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This study aims to screen entrepreneurial potentials of automotive manufacturing and performance criteria. Supplier selection as a key part of supply chain management (SCM) facilitates the creation of sustainable competitive advantage that can cause new ventures and business growth development. Efficient supplier selection method is a main part in SCM for outsourcing in businesses. The character of supplier selection is a multi-criteria decision making (MCDM) problem and multiple criteria should be respected in the selection procedure. This study assessed the suppliers’ efficiency through Data Envelopments Analysis (DEA). Keyword: Supply chain management, supplier selection, multi-criteria decision making, DEA
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Yang, Fan, and Xiongfei Zhang. "The impact of sustainable supplier management practices on buyer-supplier performance." Review of International Business and Strategy 27, no. 1 (March 6, 2017): 112–32. http://dx.doi.org/10.1108/ribs-08-2016-0043.
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Purpose This paper aims to present an empirical study on the multidimensional relationships between sustainable supplier management (SSM) practices and buyer–supplier performance from the buying firms’ perspective. Specifically, the authors focus on four SSM practices, namely, sustainable supplier selection, sustainable supplier monitoring, sustainable supplier development and sustainable supplier collaboration, and test their effects on three buyer–supplier performance measures, namely, supplier performance, buyer–supplier relationship and buyer competitive advantage. Design/methodology/approach Based on data collected from 256 manufacturers across different geographical areas and industrial branches in Greater China. A conceptual model was proposed and tested using structural equation modeling technique with the help of SmartPLS 3.0. Findings The sustainable supplier development and sustainable supplier collaboration have positive relationships with supplier performance, while sustainable supplier selection, sustainable supplier monitoring and sustainable supplier collaboration have positive influence on buyer–supplier relationship and buyer competitive advantage. Furthermore, the relative importance and contributions of the individual measures was also identified. Originality/value This study simultaneously integrates the constructs of SSM practices and buyer–supplier performance. Moreover, it seeks to make a contribution to existing literature from a theoretical perspective by investigating the sub-dimensions of SSM practices and buyer–supplier performance.
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Konys, Agnieszka. "An Ontology-Based Approach for Knowledge Acquisition: An Example of Sustainable Supplier Selection Domain Corpus." Electronics 11, no. 23 (December 3, 2022): 4012. http://dx.doi.org/10.3390/electronics11234012.
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Selecting the right supplier is a critical decision in sustainable supply chain management. Sustainable supplier selection plays an important role in achieving a balance between the three pillars of a sustainable supply chain: economic, environmental, and social. One of the most crucial aspects of running a business in this regard is sustainable supplier selection, and, to this end, an accurate and reliable approach is required. Therefore, the main contribution of this paper is to propose and implement an ontology-based approach for knowledge acquisition from the text for a sustainable supplier selection domain. This approach is dedicated to acquiring complex relationships from texts and coding these in the form of rules. The expected outcome is to enrich the existing domain ontology by these rules to obtain higher relational expressiveness, make reasoning, and produce new knowledge.
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Zimmer, Konrad, Magnus Fröhling, and Frank Schultmann. "Sustainable supplier management – a review of models supporting sustainable supplier selection, monitoring and development." International Journal of Production Research 54, no. 5 (September 28, 2015): 1412–42. http://dx.doi.org/10.1080/00207543.2015.1079340.
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Azadnia, Amir Hossein, Pezhman Ghadimi, Muhamad Zameri Mat Saman, Kuan Yew Wong, and Cathal Heavey. "An Integrated Approach for Sustainable Supplier Selection Using Fuzzy Logic and Fuzzy AHP." Applied Mechanics and Materials 315 (April 2013): 206–10. http://dx.doi.org/10.4028/www.scientific.net/amm.315.206.
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Supplier selection is one of the important processes in supply chain management. Regarding the emergence of sustainability issues in recent decades, companies have incorporated these issues in conventional supplier selection in order to meet governmental legislations and market demands. These issues have been noticed by various researchers. However, there are limited research activities which considered all aspects of sustainability for supplier selection problem as an integrated assessment. In this paper, an integrated approach of Fuzzy Analytical Hierarchy Process and fuzzy logic has been proposed in order to solve sustainable supplier selection problem. Fuzzy analytical hierarchy process has been used to calculate the weight of sustainable criteria and sub criteria. Then, fuzzy logic was utilized in order to assess the suppliers based on the weights acquired by Fuzzy analytical hierarchy process. Finally, a case study of petroleum industry has been carried out in order to show the validity of proposed approach.
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Wang, Xiaodong, Jianfeng Cai, and Jichang Xiao. "A Novel Decision-Making Framework for Sustainable Supplier Selection Considering Interaction among Criteria with Heterogeneous Information." Sustainability 11, no. 10 (May 17, 2019): 2820. http://dx.doi.org/10.3390/su11102820.
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Sustainable supplier selection has become a strategic activity to enhance the competitiveness of sustainable supply chain management. Research on sustainable supplier selection is considering increasingly more practical factors, such as the uncertainty of decision context and the fuzzy recognition of experts. Evaluation values on different criteria with different characteristic should be represented in their suitable information types to reflect the characteristic accurately and represent experts’ judgments entirely. Moreover, it is difficult, or costly, to build a decision criteria set in which all criteria are independent to each other because of the interaction of technical, economic, environmental and social factors. Therefore, the aim of this paper is to propose a novel decision-making framework for sustainable supplier selection which considers the interaction among criteria with heterogeneous decision information. The proposed framework can not only allow the experts to express their judgments completely, but also improve the efficiency of decision-making. First, a normalized dominance decision matrix based on normalized closeness is built with the heterogeneous decision matrix. Then, a defined discrete Choquet integral multi-criteria distance measure is used to compute the comprehensive associated closeness and rank the alternative sustainable suppliers. This framework provides a new way to handle the interaction among criteria for sustainable supplier selection from the perspective of multi-criteria distance measure, and a novel methodology to solve the problems that the evaluation values cannot be aggregated directly. Finally, an example is given to illustrate the proposed framework for sustainable supplier selection with a comparison analysis.
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Gamal, Abduallah, and Nehal Nabil Mostafa. "Sustainable Supplier Selection using Neutrosophic Sets and MCDM Framework." Neutrosophic and Information Fusion 1, no. 1 (2023): 27–33. http://dx.doi.org/10.54216/nif.010103.
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Because of stricter rules from the government and growing awareness among the general public, sustainable supply chain management (SSCM) performs a significant role in the management of firm manufacturing operations. Companies that want to promote sustainable supply chain management (SSCM) must first choose the most suitable sustainable supplier, which is a MCDM dilemma, as highlighted in a number of research studies. In addition, because of their limited expertise, those who make decisions have a propensity to convey their opinions via the use of language phrases. The purpose of this work is to report on a unique MCDM model for the choice of sustainable suppliers. This approach integrates the MCDM MABAC method inside an uncertain language situation. With the assistance of uncertain linguistic sets, the neutrosophic sets used to overcome these uncertainty. When it comes to generating the ranking of possible suppliers, the MABAC is dependable and easy to understand. In conclusion, an iron maker is used as an example to illustrate the practicability and efficacy of the suggested strategy for the selection of sustainable suppliers.
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Ulutaş, Alptekin, Ayşe Topal, Dragan Pamučar, Željko Stević, Darjan Karabašević, and Gabrijela Popović. "A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods." Sustainability 14, no. 24 (December 16, 2022): 16921. http://dx.doi.org/10.3390/su142416921.
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Supplier selection is an important task in supply chain management, as suppliers have a vital role in the success of organisations in a supply chain. Sustainability has emerged as a solution to decreasing resources and increasing environmental and social problems in the past few decades. It has been applied to various industrial operations, one of them is supplier selection, to mitigate unwanted effects in the future. Sustainable supplier selection is a complicated multi-criteria decision making problem, including several criteria from economic, environmental, and social perspectives. To deal with subjective judgements of decision makers, fuzzy and grey methods are widely used in multi-criteria decision making, In the case of small, limited, and incomplete data, the grey theory provides satisfactory results, compared to fuzzy methods. Therefore, this study is an integrated method including grey Best-Worst Method (BWM) and grey Weighted Sum-Product (WISP) for choosing the most sustainable supplier for a textile manufacturer, which includes three main criteria and twelve sub-criteria. According to the result of the proposed model, the supplier with the best performance was determined to be the supplier with the SP2 coded. The results of the developed model were shown to the experts, and the accuracy of the results was confirmed. According to the experts, a higher amount of product can be purchased from the supplier with the SP2 code, and a tighter relationship can be worked with this supplier. The contributions of this study are: (1) Develop a new grey MCDM model called Grey WISP. (2) Create a new integrated MCDM model with grey theory, BWM, and WISP methods that can be applied to assess supplier sustainability using this hybrid model. The proposed model can be used not just for selecting sustainable suppliers, but also for any other decision problems that have multiple criteria and alternatives. The findings suggest that the Grey WISP method achieved accurate results.
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Tong, Lizhong, Jindan Wang, and Jiajia Yi. "Sustainable Textile and Apparel Enterprise Supplier Selection Research." AATCC Journal of Research 8, no. 1_suppl (September 2021): 46–53. http://dx.doi.org/10.14504/ajr.8.s1.6.
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The textile and apparel industry is characterized by fast changes in customer demand and large seasonal impacts on products, which makes supplier selection more difficult. Textile and apparel enterprises should not only maximize their own economic interests, but also pay attention to humanistic care and ecological concepts due to the pressure from the public and the ecological environment. This study addresses the problem of sustainable development in textile and garment industry. A sustainable supplier selection research system, including quality, cost, flexibility, delivery, corporate social responsibility (CSR), and environmental management, was developed. A fashion apparel company was used as a specific case to support the study. The multi-attribute decision method PROMETHEE is used to evaluate supplier performance. The proposed sustainable framework can deal with the problem of supplier selection in textile and apparel industry effectively.
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Hosseini, Zahra Sadat, Simme Douwe Flapper, and Mohammadali Pirayesh. "Sustainable supplier selection and order allocation under demand, supplier availability and supplier grading uncertainties." Computers & Industrial Engineering 165 (March 2022): 107811. http://dx.doi.org/10.1016/j.cie.2021.107811.
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Ghadimi, Pezhman, and Cathal Heavey. "Sustainable Supplier Selection in Medical Device Industry: Toward Sustainable Manufacturing." Procedia CIRP 15 (2014): 165–70. http://dx.doi.org/10.1016/j.procir.2014.06.096.
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Puška, Adis, Miroslav Nedeljković, Sarfaraz Hashemkhani Zolfani, and Dragan Pamučar. "Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production." Symmetry 13, no. 5 (April 29, 2021): 774. http://dx.doi.org/10.3390/sym13050774.
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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.
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Okwu, Modestus O., and Lagouge K. Tartibu. "Sustainable supplier selection in the retail industry: A TOPSIS- and ANFIS-based evaluating methodology." International Journal of Engineering Business Management 12 (January 1, 2020): 184797901989954. http://dx.doi.org/10.1177/1847979019899542.
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In this study, a hybrid model based on ANFIS (Adaptive Neuro-Fuzzy Inference Systems), a predictive intelligent-based technique, and TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) was implemented for sustainable supplier selection. Selection of supplier is a crucial task for companies to achieve the objectives of inbound and outbound supply chain system. This selection process may be complex due to the inclusion of diverse subjective and objective factors. There is, therefore, the need for a reliable methodology to provide higher accuracy in predictions of anticipated supplier performance, and this article makes contributions in that direction. The model was applied in the retail end of a fast-moving consumer goods (FMCG) industry to select the best possible suppliers using the sustainability criteria of the triple-bottom-line. Available data from the FMCG retail sector was fed into the TOPSIS and ANFIS model to rank the suppliers. Results indicated that the most dominant sustainability factors in the Nigerian FMCG retail sector are advanced technology, cost, reliability, on-time delivery, and environmental competencies. The finding should encourage companies in the retail sector to explore sustainability opportunities in order to improve their competitiveness for selection during bidding processes. The novelty of this study is the application of ANFIS to sustainable supplier selection problem in the context of a developing economy like Nigeria. It should also assist managers in the FMCG retail sector to highlight areas of possible sustainability improvements.
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Thomas, Rodney W., Brian S. Fugate, Jessica L. Robinson, and Mertcan Tasçioglu. "The impact of environmental and social sustainability practices on sourcing behavior." International Journal of Physical Distribution & Logistics Management 46, no. 5 (June 6, 2016): 469–91. http://dx.doi.org/10.1108/ijpdlm-02-2015-0041.
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Purpose – The purpose of this paper is to make an initial attempt to understand if environmental and social sustainability practices of suppliers influence the buying decision and ultimate supplier selection in a purchasing organization. Design/methodology/approach – In order to test the effects of sustainability on sourcing decisions, this research utilizes two scenario-based behavioral experiments grounded in a transportation carrier selection context. Findings – Two scenario-based experiments with managerial participants were conducted and results suggest that environmental and social aspects of sustainability are indeed relevant sourcing considerations that impact both economic and relational aspects of exchange relationships. These sustainability aspects enable carriers to differentiate themselves in a highly commoditized market. Originality/value – Extant research advocates for sourcing organizations to take an active role in selecting sustainable suppliers. However, little is known about how supplier sustainability performance impacts sourcing decisions and supplier selection. This research addresses this gap in the literature and explores the effects of price, environmental, and social sustainability on purchase intentions and trust formation in a transportation carrier selection context.
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Nikfarjam, Hava, Mohsen Rostamy-Malkhalifeh, and Abbasali Noura. "A New Robust Dynamic Data Envelopment Analysis Approach for Sustainable Supplier Evaluation." Advances in Operations Research 2018 (December 9, 2018): 1–20. http://dx.doi.org/10.1155/2018/7625025.
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Supplier selection is one of the intricate decisions of managers in modern business era. There are different methods and techniques for supplier selection. Data envelopment analysis (DEA) is a popular decision-making method that can be used for this purpose. In this paper, a new dynamic DEA approach is proposed which is capable of evaluating the suppliers in consecutive periods based on their inputs, outputs, and the relationships between the periods classified as desirable relationships, undesirable relationships, and free relationships with positive and negative natures. To this aim various social, economic, and environmental criteria are taken into account. A new method for constructing an ideal decision-making unit (DMU) is proposed in this paper which differs from the existing ones in the literature according to its capability of considering periods with unit efficiencies which do not necessarily belong to a unique DMU. Furthermore, the new ideal DMU has the required ability to rank the suppliers with the same efficiency ratio. In the concerned problem, the supplier that has unit efficiency in each period is selected to construct an ideal supplier. Since it is possible to have more than one supplier with unit efficiency in each period, the ideal supplier can be made with different scenarios with a given probability. To deal with such uncertain condition, a new robust dynamic DEA model is elaborated based on a scenario-based robust optimization approach. Computational results indicate that the proposed robust optimization approach can evaluate and rank the suppliers with unit efficiencies which could not be ranked previously. Furthermore, the proposed ideal DMU can be appropriately used as a benchmark for other DMUs to adjust the probable improvement plans.
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Meksavang, Phommaly, Hua Shi, Shu-Min Lin, and Hu-Chen Liu. "An Extended Picture Fuzzy VIKOR Approach for Sustainable Supplier Management and Its Application in the Beef Industry." Symmetry 11, no. 4 (April 2, 2019): 468. http://dx.doi.org/10.3390/sym11040468.
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Nowadays, sustainable supply chain management (SSCM) has received considerable attention because of strict government requirements and increased pressure from the public. In the SSCM, selecting suitable suppliers plays a significant role in improving the overall sustainability performance of a company. Therefore, this article aims to develop a modified VIKOR (in Serbian: VlseKriterijumska Optimizacija I Kompromisno Resenje) technique for sustainable supplier evaluation and selection, that uses ordered weighted distance operators in the aggregation of picture fuzzy information. Concretely, we first propose the picture fuzzy-ordered weighted standardized distance (PFOWSD) operator and the picture fuzzy Euclidean-ordered weighted standardized distance (PFEOWSD) operator, and extended them by using the hybrid average operator. Then, we develop a sustainable supplier selection approach by combining the picture fuzzy distance operators and the VIKOR method. The new approach can manipulate attitudinal character of the classical VIKOR method, so that a decision maker can take decisions according to his or her preference. Further, by using the PFOWSD operator, one can parametrize the VIKOR method from the maximum to the minimum result. Thus, the information obtained using the new sustainable supplier selection approach is much more complete. Finally, a practical case example in the beef supply chain is given to explain the proposed picture fuzzy-ordered weighted distance (PFOWD)-VIKOR model, and the results are compared with current relevant representative approaches to verify its feasibility and superiority.
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Kannan, Devika, Hassan Mina, Saeede Nosrati-Abarghooee, and Ghasem Khosrojerdi. "Sustainable circular supplier selection: A novel hybrid approach." Science of The Total Environment 722 (June 2020): 137936. http://dx.doi.org/10.1016/j.scitotenv.2020.137936.
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Chaharsooghi, S. K., and Mehdi Ashrafi. "Sustainable Supplier Performance Evaluation and Selection with Neofuzzy TOPSIS Method." International Scholarly Research Notices 2014 (October 29, 2014): 1–10. http://dx.doi.org/10.1155/2014/434168.
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Supplier selection plays an important role in the supply chain management and traditional criteria such as price, quality, and flexibility are considered for supplier performance evaluation in researches. In recent years sustainability has received more attention in the supply chain management literature with triple bottom line (TBL) describing the sustainability in supply chain management with social, environmental, and economic initiatives. This paper explores sustainability in supply chain management and examines the problem of identifying a new model for supplier selection based on extended model of TBL approach in supply chain by presenting fuzzy multicriteria method. Linguistic values of experts’ subjective preferences are expressed with fuzzy numbers and Neofuzzy TOPSIS is proposed for finding the best solution of supplier selection problem. Numerical results show that the proposed model is efficient for integrating sustainability in supplier selection problem. The importance of using complimentary aspects of sustainability and Neofuzzy TOPSIS concept in sustainable supplier selection process is shown with sensitivity analysis.
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Chen, Kuen-Suan, Chiao-Tzu Huang, and Tsang-Chuan Chang. "Decision-Making for the Selection of Suppliers Based on the Process Quality Assessment." International Journal of Reliability, Quality and Safety Engineering 27, no. 06 (June 7, 2020): 2050016. http://dx.doi.org/10.1142/s0218539320500163.
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Supplier selection is a practical problem in supply chain management and quality is the most important criterion in supplier selection. In this study, we developed a supplier selection model based on process quality, in which the Six Sigma quality index [Formula: see text] is used as a tool to assess the process quality provided by suppliers. Note that index estimation based on sample data is prone to uncertainty in the assessment of process quality. Therefore, we derived the confidence interval of [Formula: see text] via mathematical programming to reduce the likelihood of assessment miscalculations, and then used this interval to perform a pairwise comparison of suppliers. Our goal was to identify criteria that can be used to select the optimal suppliers for long-term collaborations and sustainable partnerships. A case study is also presented to demonstrate the practical implementation of the proposed method.
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Azwir, Hery Hamdi, Fuad Hasan, and Hirawati Oemar. "Supplier Selection Of Upper Arm And Lower Arm Pantograph Jack Using AHP And TOPSIS Methods." Jurnal Rekayasa Sistem Industri 9, no. 1 (April 30, 2020): 1–10. http://dx.doi.org/10.26593/jrsi.v9i1.3423.1-10.
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Cost reduction and multi sourcing program is one of the ways used by companies to survive in business competition. Supplier selection process conducted by PT. MTM aims to get suppliers capable of supplying the needs in a sustainable manner with quality products and competitive prices. The company needs a method to select suppliers that can supply upper arm and lower arm components for pantograph jack products. The research is done through analyzing supplier selection process by PT. MTM, examines the criteria used, and then implements the AHP and TOPSIS methods in the process to gain alternative supplier priorities and reduced purchase costs. To speed up data processing, this study utilizes Expert Choice 11 software. The result of analysis using AHP and TOPSIS is two suppliers will supply the components in PT. MTM.Keywords: AHP, multi sourcing, cost reduction, panthograph jack, supplier, TOPSIS
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Amindoust, Atefeh. "Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach." RAIRO - Operations Research 52, no. 3 (July 2018): 981–1001. http://dx.doi.org/10.1051/ro/2017033.
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With the growing of consumer awareness in environmental and social issues sustainable development has become an essential element in supply chain management. Supplier evaluation and selection is one of the main strategic decisions for purchasing management in supply chain. This paper use Data Envelopment Analysis (DEA) to propose a new model for evaluation and ranking of a given set of suppliers from sustainable point of view. The proposed model integrates the fuzzy set theory and DEA to consider the decision makers’ preferences and handle the ambiguity and uncertainty in supplier selection process. For this purpose, linguistic values in the form of triangular fuzzy numbers are used to assess the weights of criteria, sub-criteria, and the ratings of suppliers’ performance with respect to sub-criteria. Then, a fuzzy-DEA model, using α-cut approach, is developed considering weight constraints. An application from Supplying Automotive Parts Company (SAPCO) Company, which is one of the largest suppliers of automotive parts in the Middle-East, is presented to show the applicability of the proposed model. Finally, the proposed weight restriction fuzzy-DEA model is validated through comparing with one of the recent supplier selection methods.
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Zhou, Xiongyong, and Zhiduan Xu. "An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation." Sustainability 10, no. 7 (July 19, 2018): 2543. http://dx.doi.org/10.3390/su10072543.
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With a great emphasis on both social and environmental responsibilities, sustainable supply chain management has gradually been adopted and promoted as an innovative business model. In sustainable supply chain practice, the choice of sustainable suppliers relates to the long-term development of a company. While the environmental performance of suppliers has been commonly considered, the social dimension has not yet received enough attention. This paper first proposes a novel criteria system for evaluating sustainable suppliers from three aspects and six dimensions, and then introduces an integrated evaluation model with a novel hybrid information aggregation. To verify the applicability and effectiveness of the proposed method, a real case of a large supermarket is introduced and analyzed. The research results show that (1) the indicator system based on Triple Bottom Line theory can serve as a framework of sustainable supplier selection for manufacturing and circulation enterprises; (2) the introduction of hybrid information aggregation can effectively handle the uncertainties of indicator scores under the realistic fuzzy environment and objectively reflect the intentions of the scorers; and (3) in comparison with the TOPSIS algorithm, the priority order finally obtained is consistent, but the proposed model shows more robustness in the sensitivity test.
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Wang, Chia-Nan, Van Thanh Nguyen, Hoang Tuyet Nhi Thai, Ngoc Nguyen Tran, and Thi Lan Anh Tran. "Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry." Mathematics 6, no. 12 (December 4, 2018): 302. http://dx.doi.org/10.3390/math6120302.
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Today, business organizations are facing increasing pressure from a variety of sources to operate using sustainable processes. Thus, most companies need to focus on their supply chains to enhance sustainability to meet customer demands and comply with environmental legislation. To achieve these goals, companies must focus on criteria that include CO2 (carbon footprint) and toxic emissions, energy use and efficiency, wastage generations, and worker health and safety. As in other industries, the food processing industry requires large inputs of resources, which results in several negative environmental effects; thus, decision-makers have to evaluate qualitative and quantitative factors. This work identifies the best supplier for edible oil production in the small and medium enterprise (SME) food processing industry in Vietnam. This study also processes a hybrid multicriteria decision-making (MCDM) model using a fuzzy analytical hierarchy process (FAHP) and green data envelopment analysis (GDEA) model to identify the weight of all criteria of a supplier’s selection process based on opinions from company procurement experts. Subsequently, GDEA is applied to rank all potential supplier lists. The primary objective of this work is to present a novel approach which integrates FAHP and DEA for supplier selection and also consider the green issue in edible oil production in uncertain environments. The aim of this research is also to provide a useful guideline for supplier selection based on qualitative and quantitative factors to improve the efficiency of supplier selection in the food industry and other industries. The results reveal that Decision-Making Unit 1 (DMU 1), DMU 3, DMU 7, and DMU 9 are identified as extremely efficient for five DEA models, which are the optimal suppliers for edible oil production. The contributions of this research include a proposed MCDM model using a hybrid FAHP and GDEA model for supplier selection in the SME food processing industry under a fuzzy environment conditions in Vietnam. This research also is part of an evolution of a new hybrid model that is flexible and practical for decision-makers. In addition, the research also provides a useful guideline in supplier selection in the food processing industry and a guideline for supplier selection in other industries.
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Puška, Adis, Miroslav Nedeljković, Ilija Stojanović, and Darko Božanić. "Application of Fuzzy TRUST CRADIS Method for Selection of Sustainable Suppliers in Agribusiness." Sustainability 15, no. 3 (January 31, 2023): 2578. http://dx.doi.org/10.3390/su15032578.
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This study deals with the selection of a sustainable supplier on the example of the agribusiness company Mamex from Bosnia and Herzegovina. The main problem of this research is the selection of a sustainable supplier as a part of the sustainable strategy of the Mamex company. One of the prerequisites is that suppliers must present sustainability principles in business by having an appropriate certificate. The results of the selection of sustainable suppliers are completed using a new hybrid fuzzy approach with the methods IMF SWARA (Improved Fuzzy Stepwise Weight Assessment Ratio Analysis) and fuzzy TRUST (multi-normalization multi-distance assessment) CRADIS (compromise ranking of alternatives from distance to ideal solution) methods. The innovative approach is reflected in the use of a combination of these methods, especially by combining the TRUST and CRADIS methods into one method. The IMF SWARA method shows that the most important main criterion is the economic criterion, while the least important is the social criterion. By applying the fuzzy TRUST CRADIS method, it is found that out of the observed six suppliers, the second supplier has the best indicators. These results are confirmed by other fuzzy methods: MABAC (multi-attributive border approximation area comparison), WASPAS (weighted aggregated sum product assessment), fuzzy SAW (simple additive weighting), MARCOS (measurement of alternatives and ranking according to compromise solution), ARAS (a new additive ratio assessment), and TOPSIS (technique for order preference by similarity to an ideal solution). This research shows that applying more normalization when ranking alternatives reduces the influence of individual normalizations, and this approach should be used in future research.
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Li, Dan-Ping, Li Xie, Peng-Fei Cheng, Xiang-Hong Zhou, and Cheng-Xun Fu. "Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model." SAGE Open 11, no. 4 (October 2021): 215824402110571. http://dx.doi.org/10.1177/21582440211057112.
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In the cloud manufacturing environment, the interaction and cooperation between enterprises become more convenient. The most optimal green supplier selection through cloud manufacturing platform can improve the production quality and sustainable development efficiency of enterprises. However, as alternative suppliers are all over the world, there is a risk that the selected supplier is not ideal. Therefore, in this paper, a hybrid supplier selection model based on TODIM method is proposed to choose the optimal green supplier under cloud manufacturing platform. Considering the characteristics of suppliers in the cloud manufacturing environment and green criteria, the comprehensive green supplier evaluation index system is constructed. The creative application of heterogeneous evaluation information including crisp numbers, interval numbers, and probabilistic linguistic values, can express the evaluation information of different subjects comprehensively. In order to consider human judgment and the importance of information provided by raw data, the criteria weights are determined by integrating fuzzy BWM (Best-worst method) weights and objective entropy weights. Then, with the full consideration of decision maker’s risk attitude, the TODIM method is used to process heterogeneous evaluation information and calculate the priority of the green suppliers. The proposed method is novel, and allows multi-subjects to participate in the assessment process and considers the risk attitude of decision-makers in the green supplier selection process. An empirical study of green supplier selection in the cloud manufacturing environment is conducted. Sensitivity analysis and comparative analysis indicate that the proposed selection model for green supplier is reliable and effective.
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Neumüller, Claudia, Rainer Lasch, and Florian Kellner. "Integrating sustainability into strategic supplier portfolio selection." Management Decision 54, no. 1 (February 8, 2016): 194–221. http://dx.doi.org/10.1108/md-05-2015-0191.
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Purpose – The purpose of this paper is to propose a comprehensive methodology and a problem-specific model for the configuration of the optimal strategic supplier portfolio in terms of traditional, performance-related objectives and sustainability targets. Design/methodology/approach – To bridge the research gap, i.e., to align strategic supplier portfolio selection with corporate sustainability targets, a hybrid model of the analytic network process (ANP) and goal programming (GP) is developed. To validate the model, a case example is presented and managerial feedback is collected. Findings – By enabling the integration of sustainability targets into strategic supplier portfolio configuration, the hybrid ANP-GP model contributes to research in the area of sustainable supply chain management. Results indicate that simplifying the model by omitting one or more details may lead to unfortunate actions. Research limitations/implications – The model has been applied using a case example in the automotive industry. To strengthen the findings, it should be examined under other terms as well. Practical implications – Integrating economic, environmental, and social targets into strategic supplier portfolio configuration reduces supply risks and promotes the achievement of the sustainability goals of the purchasing company. Social implications – Strategic supplier selection counts among the decisions that have an impact on the environment and society for several years. Configuring economically rational, environmentally friendly, and socially responsible supplier bases supports worldwide efforts towards sustainable development. Originality/value – Although sustainable supplier selection has gained importance in recent years, this is the first time that a comprehensive model for the determination of the optimal strategic supplier portfolio in terms of performance-related objectives and sustainability targets has been proposed.
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Cole, Rosanna, and James Aitken. "Selecting suppliers for socially sustainable supply chain management:post-exchange supplier development activities as pre-selection requirements." Production Planning & Control 30, no. 14 (May 14, 2019): 1184–202. http://dx.doi.org/10.1080/09537287.2019.1595208.
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.., Mahmoud M., and Shimaa S. Said. "A multi criteria decision making methodology to select best supplier in healthcare industry." American Journal of Business and Operations Research 8, no. 1 (2022): 08–15. http://dx.doi.org/10.54216/ajbor.080101.
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Businesses all across the globe are adopting sustainable supply chain practises in an effort to lessen their impact on the environment. Towards reaching that aim, suppliers in healthcare have a crucial role in creating a sustainable supply chain. One of the difficulties in achieving sustainability in supplier selection is the use of competing criteria. The use of several factors in making decisions is essential for sustainable supplier selection (MCDM). This study introduce the Multi-Attributive Border Approximation area Comparison (MABAC) methodology to select best supplier in healthcare industry. The standards and substitutions are collected from the previous works. The weights of criteria are computed, then the alternatives are ranked by the MABAC method. MABAC is a common MCDM methodology for ordering substitutions. The criteria and substitutions are included the vague and incomplete data and information, so the nutrosophic environment is used to overcome uncertainty. The single valued neutrosophic numbers are used in the computations in this work.
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You, Shan-Yong, Li-Jun Zhang, Xue-Guo Xu, and Hu-Chen Liu. "A New Integrated Multi-Criteria Decision Making and Multi-Objective Programming Model for Sustainable Supplier Selection and Order Allocation." Symmetry 12, no. 2 (February 20, 2020): 302. http://dx.doi.org/10.3390/sym12020302.
Full textAbstract:
With the increasing pressure from global competition, manufacturers have realized that sustainable production is significant in supply chain management. Sustainable supplier selection and order allocation (SSS&OA) play a distinct and critical role for organizations to achieve sustainable development and build competitive advantage. In this paper, we aim to develop a novel SSS&OA model for selecting the most suitable sustainable suppliers and determining the optimal order sizes among them. First, double hierarchy hesitant linguistic term sets (DHHLTSs) are adopted to deal with uncertainty in evaluating the sustainable performance of alternative suppliers. Then, an extended decision field theory is proposed to choose efficient sustainable suppliers dynamically. Considering quantity discount, a multi-objective linear programming (MOLP) model is established to allocate reasonable order quantities among the selected suppliers. Finally, the applicability and effectiveness of the developed model are illustrated through its application in the electronic industry and through a comparative analysis with other methods.