Sustainable Supplier Selection Research Articles

Sustainable supplier selection among supermarket’s fresh fruits and vegetable supply chains based on circular practices in India

Sustainable supplier selection among supermarket’s fresh fruits and vegetable supply chains based on circular practices in India

Sustainable Supplier Selection Criteria for HVAC Manufacturing Firms: A Multi-Dimensional Perspective Using the Delphi–Fuzzy AHP Method

Sustainable Supplier Selection Criteria for HVAC Manufacturing Firms: A Multi-Dimensional Perspective Using the Delphi–Fuzzy AHP Method

A Novel Model for Sustainable Supplier Selection in the Paint and Coating Industry

Given the significance of sustainability in the current global market, doing a comprehensive and current assessment of a supplier’s sustainability might be beneficial for improving a firm’s competitiveness. This study aims to develop sustainable supplier selection criteria, examine their interrelationships, and determine the critical criteria in the paint and coating industry. This study employed a focus group discussion (FGD), the Delphi method, a decision-making trial and evaluation laboratory-based analytical network process (DANP), and a measurement of alternatives and ranking according to compromise solution (MARCOS). The findings indicated that most sub−criteriasub−criteriaexperts agreed that 11 economic sub−criteria, five environmental sub−criteria, and three social sub−criteria should be considered when selecting a sustainable supplier. The results show that the most influential criteria are environmental criteria, while the critical criteria are social criteria. In addition, “Service” (E4), “Green Material” (L3), and “Health and Safety” (S1) sub−criteria should be considered to assess the supplier because they have high relation and prominence. Globally, the top five highest weighted sub−criteria are “Respect for the Law” (S2), “Health and Safety” (S1), “Worker’s Social Rights” (S3), “Waste Management” (L5), and “Environment Management System” (L1). We practically selected 12 providers from the paint and coating sector to assess the scheme’s practicality. This work introduced a novel model for selecting a sustainable supplier that helps industries understand their core criteria and sub−criteria. This will enhance the industry’s competitiveness and sustainability by evaluating suppliers based on economic, environmental, and social criteria.

A Hybrid Interactive Decision-making Model Based on Multi-objective Optimization: An Application to Sustainable Supplier Selection

Sustainable development is crucial for conserving resources and ensuring smooth supply chain operations. In the context of the complex task of supplier selection, the traditional assumptions of attribute independencies are frequently found to be inadequate. The effective interaction between attributes and their weights plays a crucial role in navigating the decision outcomes. This paper presents a Choquet integral-based hybrid interactive decision-making approach to address the two important issues regarding the weights and interaction of criteria. To achieve this aim, first a hybrid weight determination method is proposed, combining the merits of multi-objective optimization and clustering techniques. To comprehensively assess the interactions among attributes, a non-additive measure determination method is introduced, leveraging concepts such as standard deviation and correlation. This approach effectively captures the interdependencies among attributes, leading to a more accurate decision-making process. Then, the Choquet integral incorporates a logarithmic function, which serves to enhance the modeling of uncertainty and effectively address the complexities present in intricate decision-making situations. Furthermore, a comprehensive interactive MCDM model is constructed, serving as a framework for supplier selection. Finally, experimental and sensitivity analysis demonstrate the effectiveness and stability of the proposed approach.

Sustainable Supplier Selection Using Fuzzy AHP (AHP-F) and Fuzzy ARAS (ARAS-F) Techniques for Fertilizer Supply in the Agricultural Supply Chain

Implementing the right strategies in the agricultural supply chain in the supply of seeds, pesticides, fertilizer, energy, fuel and agricultural mechanization tools and equipment has a great role in increasing agricultural productivity. The main purpose of the study is to rank and evaluate alternatives in choosing a sustainable fertilizer supplier in the agricultural supply chain by using AHP-F and ARAS-F techniques. In an environment of uncertainty and complex supply chain structure, multi-criteria decision making (MCDM) methods are widely used to solve supplier selection problems. In this study, the importance levels and weights of the criteria in the selection of sustainable fertilizer suppliers were measured by the AHP-F method. The criteria that are important for fertilizer supplier selection were evaluated by taking expert opinions, the uncertain and uncertain opinions of the decision makers were modeled with the AHP-F approach and the weights of the criteria were determined. Among the criteria, resource consumption (FSC05) has the highest weight. Then, alternative rankings were obtained with the ARAS-F method. Fertilizer supplier alternatives in the agricultural supply chain were ranked with the ARAS-F method, using the criterion weights found with AHP-F. In the ranking of alternatives, alternative fertilizer supplier FS03 ranked first with the highest value. This study provides a resource for businesses and other stakeholders to make decisions regarding sustainable fertilizer supplier selection.

Modeling consistency and consensus in social network group decision making: The role of limited dual tolerance and compromise behaviors

In interactive social network group decision making (SNGDM), decision-makers frequently consider both their own preferences and the preferences of trusted members when adjusting preferences. This dual consideration results in the formation of limited dual tolerance and compromise behaviors, as reflected in the cost and willingness of decision-makers to adjust their preferences. This paper investigates the role of limited dual tolerance and compromise behaviors in the consistency and consensus management in SNGDM with additive preference relations. First, this paper introduces the concepts of limited dual tolerance and compromise behaviors. Then, this paper presents an optimization-based model, tailored to manage consistency and consensus in the interactive SNGDM. This model takes into account the two behaviors mentioned, with the goal of assisting decision-makers in adjusting their preferences to achieve consistency and consensus while minimizing associated costs. Given that limited dual compromise behavior may impede decision-makers from achieving consistency and consensus, this paper designs a model to help decision-makers adjust their dual compromise values. Further, this paper develops an interactive consistency and consensus management process with limited dual tolerance and compromise behaviors. Finally, an illustrative example involving sustainable supplier selection is applied, along with the simulation analysis and a discussion, to validate the effectiveness of the proposed framework.

SUSTAINABLE SUPPLIER SELECTION IN INDIRECT PROCUREMENT: BEST PRACTICES AND CASE STUDIES IN ENGINEERING

This systematic review examines sustainable supplier selection in indirect procurement within the engineering sector, focusing on best practices, criteria, and impacts on organizational performance. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the review synthesizes findings from 35 articles published between 2000 and 2023. Key best practices identified include the integration of sustainability criteria into supplier evaluations, the use of lifecycle assessments (LCAs) to gauge environmental impact, and the implementation of carbon footprint analyses. Additionally, the emphasis on fair labor practices and the requirement for suppliers to obtain certifications like SA8000 enhance social sustainability and corporate social responsibility (CSR). The evolution of supplier selection criteria to encompass environmental, social, and economic factors reflects a more holistic approach, addressing complex sustainability challenges and driving long-term value and resilience in supply chains. The review also highlights the positive impacts of sustainable procurement practices, such as cost savings, risk mitigation, enhanced brand reputation, and improved operational efficiency. These findings underscore the strategic importance of sustainable procurement in achieving organizational sustainability goals and fostering sustainable development in the engineering sector.

OPTIMIZING HVAC EFFICIENCY AND RELIABILITY: A REVIEW OF MANAGEMENT STRATEGIES FOR COMMERCIAL AND INDUSTRIAL BUILDINGS

This systematic review examines sustainable supplier selection in indirect procurement within the engineering sector, focusing on best practices, criteria, and impacts on organizational performance. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the review synthesizes findings from 35 articles published between 2000 and 2023. Key best practices identified include the integration of sustainability criteria into supplier evaluations, the use of lifecycle assessments (LCAs) to gauge environmental impact, and the implementation of carbon footprint analyses. Additionally, the emphasis on fair labor practices and the requirement for suppliers to obtain certifications like SA8000 enhance social sustainability and corporate social responsibility (CSR). The evolution of supplier selection criteria to encompass environmental, social, and economic factors reflects a more holistic approach, addressing complex sustainability challenges and driving long-term value and resilience in supply chains. The review also highlights the positive impacts of sustainable procurement practices, such as cost savings, risk mitigation, enhanced brand reputation, and improved operational efficiency. These findings underscore the strategic importance of sustainable procurement in achieving organizational sustainability goals and fostering sustainable development in the engineering sector.

The predicting role of sustainable supplier selection on lead-time performance in public procurement: relational capability as a moderator

PurposeWith increasing concerns regarding the performance of public procurement, especially concerning timely delivery, this study aims to investigate the predictive role of sustainable supplier selection (SSS) in enhancing lead-time performance in public procurement, while also examining the moderating effect of relational capability.Design/methodology/approachThe study collected primary data from 179 accredited public organizations in Tanzania through structured questionnaires and used partial least squares structural equation modeling for data analysis.FindingsThe results reveal that SSS and relational capability influence lead-time performance in public procurement. Regarding the moderating effect of relational capability, the study establishes that relational capability strengthens the influence of SSS on lead-time performance. Therefore, based on the collected data from surveyed public organizations, relational capability positively moderates the relationship between SSS and lead-time performance in public procurement.Social implicationsThe study offer valuable implications for public procurement practitioners, academics and other stakeholders. Public organizations should consider contemplate integrating sustainability aspects into supplier selection processes. Furthermore, the study contributes to advancing efforts toward achieving sustainable development goals (i.e. SDG12) within Tanzania, particularly by advocating for sustainable public procurement practices aligned with national policies and priorities.Originality/valueThis study not only enhances the understanding of public procurement performance by investigating lead-time improvement, incorporating considerations of SSS and relational capability, but it also offers empirical evidence of the moderating role of relational capability within the unexplored Tanzanian context.

A generalized interval-valued p,q Rung orthopair fuzzy Maclaurin symmetric mean and modified regret theory based sustainable supplier selection method

A novel interval valued p,q Rung orthopair fuzzy (IVPQ-ROF) multiple attribute group decision making (MAGDM) method for sustainable supplier selection (SSS) is proposed in this paper. This study mainly contains two research points: (1) tackling the interrelation between attributes; and (2) describing the psychological state and risk attitude of decision makers (DMs). For the first research point, we introduce the Archimedean operation rules for interval valued p,q Rung orthopair fuzzy sets (IVPQ-ROFSs), then the generalized interval valued p, q Rung orthopair fuzzy Maclaurin symmetric mean (GIVPQ-ROFMSM) operator and the generalized interval valued p, q Rung orthopair fuzzy weighted Maclaurin symmetric mean (GIVPQ-ROFWMSM) operator are defined to reflect the correlation between attributes. For the second research point, we introduce the positive ideal degree (PID) and negative ideal degree (NID) based on projection of IVPQ-ROFSs, and modified regret theory. Both of them consider the best alternative and worst alternative, so as to reflect the psychological state and risk attitude of DMs. Finally, a SSS problem is presented to manifest the effectiveness of the designed method. We also provide sensitivity analysis and comparative analysis to further demonstrate the rationality and validity of the proposed method.

A decision support system for sustainable supplier selection problem: Evidence from a radiator manufacturing industry

Supplier selection is the basis of a successful supply chain. It is also a key factor in improving the competitiveness of an organization. Being a complex process, the supplier selection plays an important role in upgrading the supply chain. The purpose of this research is to present an integrated approach based on fuzzy best-worst method (BWM) and failure mode and effects analysis (FMEA) for sustainable supplier selection considering seasonal quantity discounts and supplier risk for a radiator manufacturing company. Therefore, as the aim implies, this study addresses how organizations develop a sustainable supplier selection framework by integrating linear programming and decision-making in presence of seasonal discounts. To this end, fuzzy BWM and FMEA were employed to calculate weighting factors for different selection criteria and evaluate the supplier risk, respectively. Then, suppliers were ranked using the so-called technique for order of preference by similarity to ideal solution (TOPSIS). Finally, the discount type was examined by the LP-metric method. Results of the fuzzy BWM showed that the customer satisfaction was the criterion of highest priority, followed by long-term relationship, and then pollution control, among the total of 13 criteria considered in this work. Outputs of the TOPSIS referred to the supplier 3 as the top-ranked supplier, followed by supplier 6 and then supplier 1.

A Literature Survey on Application of MCDM Mathematical Optimization Models for the Sustainable Supplier Selection in Manufacturing Industries

Organizations need to entertain and motivate their ability on sustainable supply chain activities based on environment protection regulation activities. GSCM needs multi-dimensional techniques and methods. Thus multi-criteria decision-making (MCDM) techniques adopted for performance assessment of suppliers in Green supply chain management (GSCM). Supplier selection is important and it is one of the important operational function for the development of GSCM. In order to select the most suitable suppliers, many economic and environmental criteria must be taken account in the decision process. Green supplier choice is a very hard work that needs to consider sustainable factors incorporated into the traditional supplier selection. This paper aims to survey the existing different MCDM approaches which are applied in GSCM for supplier selection and evaluation and identify most significant and effective MCDM approach in comparison with some other MCDM approaches.

A Two-Stage Sustainable Supplier Selection Model Considering Disruption Risk

The global spread of the pandemic has changed many aspects of life and placed the supply chain at risk of disruption. To solve the problem of supplier selection under the risk of supply chain disruption, in this paper, we propose a two-stage evaluation model to address the issue of supplier selection in the context where a pandemic requires a lockdown. First, we incorporate the lead time into the epidemic model that predicts the evolution of the pandemic to identify suppliers that have a high risk of disruption caused by the pandemic’s evolution. Second, we propose a best–worst method combined with regret theory to rank candidate suppliers. Our model provides a dynamic link between the pandemic’s evolution and supplier selection, and it allows selecting suppliers according to various criteria while avoiding supply chain disruptions due to inappropriate supplier selection. We validate the proposed model on a real case study with epidemic data from China. This paper is the first to consider the impact of lockdowns during the pandemic on supplier selection. We develop a novel MCDM model BWM-RT for supplier selection; our model can be an effective decision support approach to help decision makers better cope with the risk of supply chain disruptions.

Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) Method: A Comprehensive Bibliometric Analysis

This paper explores the evolution, applications, and prospective developments of a very popular multi-criteria decision-making (MCDM) method called Measurement of Alternatives and Ranking according to COmpromise Solution Method (MARCOS). Employing an extensive bibliometric analysis, the study examines 115 pertinent articles sourced from the Scopus database spanning over the years from 2020 to 2024. This study also provides an evaluation of the methodological significance and outlines potential future directions of MARCOS method. The outcomes indicate "Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)" by Stević et al. (2020) as the most cited paper. Journals such as "Sustainability (Switzerland)", "Mathematics" and "Expert Systems with Applications" stand out among the most cited journals. "University of East Sarajevo" is an institution distinguished for its prolific research in this field. "Stević Ž." Has been identified as the most cited and published author. The most frequently used keywords are "MARCOS", "MARCOS method", and "MCDM". CRiteria Importance Through Intercriteria. Correlation (CRITIC) method is a weighting model often integrated with MARCOS method. The results of the study provide researchers and practitioners in the field of MCDM with an important insight into the current state of the MARCOS methodology, highlighted studies and potential future developments. It also provides a comprehensive overview of the importance of this method in the multi-criteria decision-making literature, shedding light on future research directions.

Study on the Method of Selecting Sustainable Food Suppliers Considering Interactive Factors

The existing sustainable supplier selection methods are not sufficient to deal with the problem of sustainable food supplier selection with the interaction of criteria under uncertainty. Therefore, this paper proposes a method of sustainable food supplier selection based on an extended decision model. Firstly, a processing method for supplier evaluation information is constructed using the Pythagorean fuzzy set has the function of processing complex uncertain information. Secondly, to obtain the objective weights of decision experts, a Pythagorean fuzzy weighted distance measure model is constructed, and an expert information fusion method based on a weighted power mean operator is proposed to construct the group decision matrix. Then, the decision experiment and evaluation experiment methods are integrated with the traditional MARCOS method, to construct a sustainable food supplier selection method considering the interaction of factors. This method can effectively deal with the complicated and uncertain problem of sustainable food supplier selection with interactive factors. Finally, the feasibility of the proposed method is verified by an example of sustainable food supplier selection. In addition, parameter sensitivity analysis and multi-method comparative analysis verified the rationality of the proposed selection method for sustainable food supplier selection.

Decision Support System for Single-Valued Neutrosophic Aczel–Alsina Aggregation Operators Based on Known Weights

Multiattribute decision making (MADM) approach is a well-known decision-making process utilized in a variety of fields such as solid waste management, renewable energy resources, air quality assurance, hotel location decision, sustainable supplier selection, partner recognition, green supplier enterprises, game theory, construction development authority, and weapon group target estimation. The aggregation operators (AOs) are essential components of the decision-making process and have a great capability to deal with ambiguous and unpredictable information in the different fields of fuzzy environments. In this article, we expressed the theory concepts of single-valued neutrosophic (SVN) sets (SVNS) and also characterized their basic operations. The power aggregation tools are allowed to input arguments to support each other among different arguments. Recently, Aczel–Alisna aggregation tools conquered great attention from several research scholars. We also exposed some reliable operations of Aczel–Alsina aggregation models under the consideration of SVN information. We established a series of new approaches, including the “single-valued neutrosophic Aczel–Alsina power weighted average” (SVNAAPWA) operator and “single-valued neutrosophic Aczel–Alsina power weighted geometric” (SVNAAPWG) operators. To show the effectiveness and compatibility of derived approaches, some prominent characteristics are also established. We constructed a MADM technique to solve an application of engineering and construction materials under consideration of our derived methodologies. An experimental case study is also presented to determine a suitable optimal option from a group of options. To find the flexibility of our proposed work, we provided a comparative study that compares the results of existing AOs with our proposed work. A comprehensive overview is also presented here.

Network reliability evaluation of a supply chain under supplier sustainability

The United Nations’ sustainable development goals have brought attention to the pressing issue of enhancing supply chain sustainability and ensuring equitable order allocation. In contrast to the previous research, this study involves sustainability in network reliability evaluation. A new algorithm is proposed for computing network reliability, the probability that the current supply chain not only meets demand, budget, and suppliers’ production capacity but also considers the level of supplier sustainability. In the constructed multistate supply chain network (MSCN), a node represents a supplier, warehouse, assembler, or market, and a route connecting the nodes represents a carrier. The capacity of each carrier, represented by the available delivery containers, should not be deterministic as they may be partially reserved by other markets. Grounded in the Method Based on the Removal Effects of Criteria (MEREC) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the supplier sustainability can be assessed, facilitating the selection of sustainable suppliers and the determination of feasible order allocations, which are essential for various industries. An audio production cooperation is used as a case study to demonstrate the utility of the proposed algorithm.

Spherical fuzzy symmetric point criterion-based approach using Aczel–Alsina prioritization: application to sustainable supplier selection

Spherical fuzzy symmetric point criterion-based approach using Aczel–Alsina prioritization: application to sustainable supplier selection

Lean, Agile, Resilient, Green, and Sustainable (LARGS) Supplier Selection Using Multi-Criteria Structural Equation Modeling under Fuzzy Environments

This study aims to propose an integrated approach for supplier selection based on the lean, agile, resilience, green, and sustainable (LARGS) paradigm. This approach was validated using structural equation modelling (SEM) and the intuitionistic fuzzy TOPSIS method. A comprehensive literature review was conducted, identifying twenty-six criteria, which were then consolidated into five main criteria. A questionnaire was distributed to 237 individuals from manufacturing companies listed on the Tehran Stock Exchange, and the collected data were analyzed using third-order factor analysis and the partial least squares method. Subsequently, the proposed integrated approach was applied to evaluate four suppliers in an intuitionistic fuzzy environment, utilizing expert opinions and a case study on the automotive industry. The results demonstrate the effectiveness and practicality of the proposed approach in terms of prioritizing and selecting suitable suppliers according to LARGS criteria. In conclusion, this study contributes to the existing literature by proposing an integrated approach that addresses the decision-making challenges in supplier selection. This approach offers a practical tool for managers seeking to enhance sustainable supply chain performance from the LARGS perspective.

Vendor Selection Criteria and Construction Project Performance in Rivers Nigeria.

The study focused on Vendor Selection Criteria and Construction Project Performance in Rivers Nigeria. It adopted a survey approach; utilized structured questionnaire to collect data from 71 on-site construction project managers and engineers; data obtained were ranked according to their priority using Relative Importance Index (RII), and Chi-Square Analysis. Linear regression coefficients were drawn as estimates of construction project performance. The results showed that 22 criteria, grouped into four supplier selection dimensions: capability, quality, costs and sustainability. These indicators showed significant interaction with construction project performance. However, supplier flexibility did not yield significant outcome on construction project performance. The results suggest that supplier capability, supplier quality, supplier costs, and supplier sustainability selection variables are important sources of enhanced performance for construction project management. Keywords: Construction management; Vendor selection; Project performance; Relative importance index; Sustainable supplier selection.