Green Supplier Selection Criteria Research Articles

Green Supplier Selection Using Fuzzy AHP, Fuzzy TOSIS, and Fuzzy WASPAS: A Case Study of the Moroccan Automotive Industry

The green supplier selection presents numerous challenges, from initial assessment to final selection, which specialists in this field of supplier management often encounter. Among the techniques that aim to meet these challenges that are continually progressing is the creation and development of high-quality decision-making tools. In this study, the assessment of suppliers hinges on both traditional and environmental factors. A framework of multi-criteria decision-making (MCDM) is announced in order to appraise green supplier selection. This framework integrates Fuzzy Analytical Hierarchy Process (AHP) combined with two additional methods: WASPAS (“Weighted Aggregated Sum-Product Assessment”) and TOPSIS (“Technique for Order Preference by Similarity to Ideal Solution”). At the outset, there were five environmental criteria for green supplier selection: “Health and Safety”, “Sustainable Product Design”, “ISO 14001 Certification”, “Investment Recovery”, and “Green Packaging”, along with three conventional criteria including quality, price, and delivery, were pinpointed through a review of literature and expert input to facilitate the MCDM approach. As part of demonstrating the pertinency of the recommended framework, a practical case study of the automotive industry in Morocco is discussed. The results demonstrate that the utilized Fuzzy hybrid methods yield consistent rankings for green suppliers. Additionally, among the four green suppliers, number three obtained the best ranking, which indicates the robustness and performance of the chosen models. Furthermore, this study offers a unified platform for selecting green suppliers under a Fuzzy environment. Therefore, the chosen strategy and its analysis provide relevant data and information to decision-makers for the choice and selection of suppliers. It can also provide and help procurement departments and decision-makers to choose and select the efficient ecological supplier in the global market supply chain.

Developing a hybrid methodology for green-based supplier selection: Application in the automotive industry

The green performance values of businesses are of great importance in terms of sustainability, which includes long-term economic, social, and environmental effects. Thus, today, enterprises and managers are increasingly interested in this issue, and related topics, including supplier selection, have been inserted into decision-making procedures. However, how to predict the effects of green performance criteria, which represent environmental sustainability, on social and economic sustainability remains unclear. In this regard, the main purpose of this research is to develop a supplier selection methodology considering green performance criteria by applying multiple regression analysis and the Evidential Fuzzy Multi-Criteria Decision Making (F-MCDM) method based on Dempster-Shafer Theory (DST), which are both powerful methods in statistical analysis and decision-making under uncertainty. In the first phase of the research, variables that significantly affect green performance have been determined by testing the eight generated hypotheses with multiple regression analysis. Then, the best supplier was determined using those green supplier selection criteria in the Evidential F-MCDM method. Since using environmentally hazardous paints in the production process continues, the automobile paint production sector has been chosen as the application area of this green-based supplier selection methodology. In this respect, green dynamic capacity, green purchasing, eco-design, investment recovery, and green product innovation variables have been inserted into the Evidential F-MCDM method as the determinant variables of green performance. This research reveals that integrating multiple regression and Evidential F-MCDM methods can be a hybrid methodology in supplier selection. Thus, a different perspective is introduced into the green supplier selection decision-making process by considering the effects of criteria in the MCDM model on green performance. This innovation enhances the criteria determination and selection processes in classical MCDM approaches. In addition, green dynamic capacity is the most critical criterion in supplier selection based on their green performance, especially in the scope of this research.

Application of multi-attribute decision-making method based on fuzzy influence diagram in green supplier selection

The external business environment exhibits many uncertainties with the continuing changes in technological progress, political environment, and consumption behavior. This has made companies recognize the significance of addressing environmental issues to remain competitive in the modern global market. Thus, much attention is given to the supply chain to ensure environmental factors are considered during supplier selection. However, the process of selecting the right suppliers to enable green supply chain management is proving difficult. This paper presents a novel approach using fuzzy influence diagrams to identify key green supplier selection criteria, combined with multi-criteria decision making to evaluate alternatives. The fuzzy influence diagram derives priority supplier capabilities by modeling interrelationships and uncertainties. The multi-criteria technique then ranks suppliers based on prospect values. A case study of furniture manufacturer supplier selection validates the proposed method. Compared to existing models, this integrated approach reduces subjective weight bias and improves handling of complex criteria dependencies and uncertainties. The results demonstrate state-of-the-art performance in identifying ideal green suppliers. This technique can enhance sustainability efforts across supply chains.

Selecting Green Supplier for Perishable Raw Materials using AHP Method at Nunia Boutique Villa Seminyak

Purpose: The aim of this research is to do the selection for green supplier for perishable raw material at Nunia Boutique Villa, Villa with 8 Units Villa located at Seminyak Badung Bali.
 Research methods: One of the methods that used in this research is Analytical Hierarchy Process (AHP) method with Vendor Performance Index (VPI) is a Quality, Cost, Delivery, Flexibility, and Responsiveness (QCDFR) by adding the Environment Management criteria. This research used the AHP method with the expert choice software.
 Findings: The final rating of relative importance’s supplier selection criteria was found: the Quality criteria (0.472) was ranked first in the order of priority in the green supplier selection criteria.
 Implication: The Cost criteria with 0.192, Environment Management criteria (0.102), Delivery criteria (0.091), Flexibility criteria (0.076) and the last criterion is Responsiveness (0.067).

Implementing green public procurement: A replication study

The integration of green criteria into public procurement is not a revolutionary thought. However, the large body of scientific literature on this subject so far has devoted little attention to the progress of implementation. Hence, this study examines the extent to which green supplier selection in the form of environmental criteria has already found its way into contract award notices and corresponding tender documents. While similar studies are available to date, they refer to specific procurement categories and regions. Hence, conclusions on the progress of implementing green supplier selection criteria are only possible on a selective basis. This study builds on these results and expands the insights into the implementation of ecological sustainability in cleaning services and equipment in Germany. A replication study was selected, to repeat, validate, and transfer existing findings from other studies. Following the methodological approach proposed by Igarashi et al. (2015), the inclusion of environmental criteria in 160 contract award notices above thresholds has been assessed. Similar to previous studies, the analysis shows that different types of environmental criteria are used and that those criteria are used in different types of documents included in a contract award notice. Environmental criteria are included in 145 of the 160 contract award notices under review. At first glance, this suggests a largely comprehensive inclusion of environmental criteria. However, their content often remained superficial and unspecific. Environmental criteria are mostly included in the specification documents and in the contract clauses. In only 20 of the 160 contract award notices, environmental criteria are also employed as a direct award criteria (as part of a supplier assessment matrix). Even though the weighting of these environmental criteria varies, the average weighting is only 5%. The low weighting shows that the importance of including environmental criteria in cleaning services is not as high as expected. Similar to previous findings, public procurement officers employ four approaches to deal with the implementation of green supplier selection: (1) ignore (no environmental criteria at all), (2) include (environmental criteria as part of existing other criteria), (3) insist (environmental criteria early in the selection process), and (4) integrate (directly compromise between green performance and other traditional purchasing criteria). In addition, a fifth strategy, named ‘intensify’, emerged from this replication study that focuses on including binding rules to adhere to environmental requirements into contractual agreements.

Strategic supplier selection for renewable energy supply chain under green capabilities (fuzzy BWM-WASPAS-COPRAS approach)

The supplier selection problem (SSP) is a significant issue in renewable supply chain management (RSCM). Selecting a strategic green supplier can not only discover the sustainable development of supply chains but also optimize the consumption rate of resources and decrease the negative environmental effects, which adopts to the green development context. As a multiple criteria group decision-making (MCGDM) problem, choosing a strategic green supplier is important to renewable supply chains. However, how to choose a strategic green supplier for supply chains is a great effort. Hence, In the present work, evaluating a set of strategic suppliers is primarily based on green capabilities by using an integrated fuzzy Best Worst Method (FBWM) with the other two techniques, namely COPRAS (Complex Proportional Assessment of Alternatives) and WASPAS (Weighted Aggregated Sum-Product Assessment). Initially, nine strategic supplier selection criteria have been identified through literature review and a real-world case study of Iran's renewable energy supply chain is deliberated to exhibit the proposed framework's applicability. The applied methodology and its analysis will provide insight to decision-makers of strategic supplier selection. It may aid decision-makers and the procurement department in differentiating the significant strategic green supplier selection criteria and assess the strategic green supplier in the local and global market supply chain. Finally, the strengths and limitation of the framework are discussed by using comparative analysis with other methods.

Criteria Definition in Green Supplier Selection for Moroccan building material industry

Purchasing management and supplier selection, an important function in the supply chain management, play a significant role in the finished product quality. Since the supplier contributes to the business development and brand image of the company, identifying the most appropriate one is a critical and challenging decision. This decision depends on several factors that need to be carefully identified and clearly defined. They should not be standard or common to all supplier selection problems but rather adapted to the specific case under study. The choice of the selection criteria is affected by different parameters such as the industry studied, the type of production and the requirements of the managers. The aim of this study is to provide decision makers with the most relevant selection criteria to consider when evaluating green suppliers in building materials industry. To achieve this goal, we first conducted a thorough and detailed review of published literature on green supplier selection issues in order to extract the various criteria and sub-criteria recommended by authors. This list was then narrowed down to the most relevant criteria after analyzing the questionnaire results with experts. Finally, a list of criteria for green supplier selection is proposed along with their definitions.

Determining the Green Supplier Selection Criteria in Textile Enterprises and Selecting the Most Ideal Distribution Model: A Case Study of Gi̇resun

Supplier selection is an important process that needs to be emphasized if customer satisfaction and operating efficiency are to be attained. Businesses also need to take into account environmental sustainability as part of the criteria when selecting their suppliers. This is in line with the need for enterprises to prioritize ecological conditions in their supply chain components such as production, distribution, and storage. On top of the supplier selection problem, another component of the chain that has an impact on the performance and efficiency of the enterprise, especially due to the accompanying costs, and which needs to be given much consideration is the distribution. This study aims to determine the significance levels of the factors that need to be taken into account when determining the criteria to be used in the selection of a green supplier and an ideal distribution model for the company. The study the SAW method to determine the significance levels of the factors and the ROV method to obtain the ideal distribution model. The results revealed that the most important factors were "quality", "green elements" and "service" while the least important factors were found to be "delivery" and "technical elements", respectively. The most ideal distribution model was the "Feeding Flight Model".

Implementation of MCDM-Based Integrated Approach to Identifying the Uncertainty Factors on the Constructional Project

Presently, environmental management for companies emphasizing environmental protection has become one of the most critical issues for customers, shareholders, governments, employees, competitors, and global pressures requiring organizations to produce environmentally-friendly products and services. This challenge has created a new concept called green supply chain management in business, which combines environmental thinking with the supply chain. Selection of suppliers by considering risk criteria is a category that has attracted the attention of a large number of researchers in order to select the best suppliers according to uncertain factors. In this research, we aim to select a green supplier considering risk factors using a new MCDM approach under uncertainty. For this selection problem, HF-MAIRCA, a new multicriteria sorting method for many alternatives, has been developed. This is used for sorting the alternatives into predefined, ordered supplier categories. This sorting method can be applied to different environmental problems that have a large number of alternatives. As a result of Iran’s case study, the result shows that materials flexibility and materials quality are essential criteria for green supplier selection.

Yeşil Tedarikçi Seçim Problemi İçin Hedef Programlama ve Gri İlişkisel Analiz Yöntemi (Goal Programming and Gray Relation Analysis Methods for Green Supplier Selection)

Purpose – The green supplier selection problem is considered as a multi-criteria decision making problem that has strategic importance in green supply chain management and includes multiple and conflicting criteria. Due to the strategic importance of the problem, working with the most suitable suppliers to support the business objectives is vital for the competitive status of the enterprises. In this case, the decision makers aim to use the most appropriate solution methods for their problems. In this study, it is aimed to weight the decision group and determined supplier evaluation criteri and to determine the most suitable supplier with multi criteria decision making methods for the solution method of green supplier selection problem. Design/methodology/approach – In this study, group hierarchy and criterion weights were determined using SWARA method in the model proposed for green supplier selection in order to adapt the production enterprise to environmental awareness processes. Gray relational analysis (GIA) and goal programming methods were used to determine the most suitable alternative supplier. Findings – The most suitable supplier from the two methods was found to be the same. When the methods were applied assuming equal weights of green supplier selection criteria, the result did not change in the GIA method, but the result changed in goal programming method. Discussion – For the green supplier selection problem presented in the study, which has more than one and conflicting goals, the approach using goal programming method is more appropriate for determining the most appropriate supplier by determining the group hierarchy and criterion weight by SWARA method. The approach can provide results that are appropriate to the new situation and circumstances when changes in the current situation.

Green Supplier Selection Criteria: From a Literature Review to a Comprehensive Knowledge Base

The supplier selection problem is one of the most important competitive challenges used by modern enterprises. Due to the fact that companies have to improve their practices in the management of a green supply chain that aims to respect green practices and technologies to increase sustainability, selecting the optimal green supplier is a challenging multi-dimensional problem. While most of the research has focused on the development and improvement of new methods, relatively limited attention has been paid to the identifying sets of criteria and capturing the domain knowledge. This issue is significant because a correctly identified set of criteria plays a vital role in supporting the decision-making process. The approach presented creates a gap between classical assumption of decision making and knowledge-based problem structuring. The current paper presents a methodological and practical background for capturing and handling knowledge about green supplier selection criteria, supported by a formal guideline for their appropriate acquisition. In addressing this research challenge, the aims of this paper are twofold: providing meta-analysis to reveal a collection of key data supported by a formal and trustworthy bibliometric analysis, and capturing knowledge in one place in the form of ontology for enabling selection and evaluation criteria of green suppliers is proposed. The proposed ontology is available for public use.

A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures

The main goal of green supply chain management is to minimize the injurious ecological impacts in all activities and phases of a supply chain. Evaluating the suppliers and selecting the best one based on environmental criteria can facilitate us to reach the objective of green supply chain management. As the assessment generally consists of various alternatives over different criteria, green supplier selection is regarded as a multi-criteria decision-making problem. Hesitant fuzzy set, which is an extension of fuzzy set, is an effective tool to handle the vagueness in such a way that hesitant and flawed information by allowing the degree of belongingness for a green supplier selection over the evaluation criteria. In this paper, an integrated method is developed based on Weighted Aggregated Sum Product Assessment (WASPAS) approach to solve the multi-criteria decision-making problems with hesitant fuzzy information. This method is based on hesitant fuzzy operators, some improvement in the conventional WASPAS approach and a procedure for calculating the criteria weights. To calculate the criteria and decision expert weights, we propose new information measures for hesitant fuzzy sets and combine entropy and divergence measures for criteria weights, while we use similarity measure for decision expert weights. Since the uncertainty is an inevitable feature of multi-criteria decision-making problems, the developed approach can be a useful tool for uncertain multi-criteria decision-making atmosphere. Next, a green supplier selection problem is taken to show the usefulness of the developed approach in real-life decision-making problems. The results of this study found that the most significant criteria for green supplier selection were management commitment (0.3119), environmental management system (0.2259) and green product (0.2010). Also, we demonstrate a sensitivity analysis over different parameter values and sets of criteria weight to illustrate the stability of the developed method. Finally, the outcome developed approach with existing approaches is compared to validate the developed method. • A novel method based on WASPAS approach is developed with HFSs. • Various information measures are proposed for calculating experts and criteria weights. • The modifications of the WASPAS approach, HF-operators and criteria weights assessment process are implemented. • The developed method is implemented for a green supplier selection problem.

Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry

In the past few decades, it has been widely observed that environmental awareness is continuously increasing among people, stakeholders, and governments. However, rigorous environmental rules and policies pushed organizations to accept affirmative changes like green supply chain management practices in their processes of the supply chain. Selection of green supplier is a tedious task and comprises a lot of challenges starting from evaluation to their final selection, which is experienced by supplier management professionals. The development and implementation of practical decision-making tools that seek to address these challenges are rapidly evolving. In the present work, the evaluation of a set of suppliers is primarily based on both conventional and environmental criteria. This work proposes a multi-criteria decision making (MCDM) based framework that is used to evaluate green supplier selection by using an integrated fuzzy Analytical Hierarchy Process (AHP) with the other three techniques namely MABAC (“Multi-Attributive Border Approximation Area Comparison”), WASPAS (“Weighted Aggregated Sum-Product Assessment”) and TOPSIS (“Technique for order preference by similarity to ideal Solution”). Initially, six green supplier selection environmental criteria (Environmental management system, green image, staff environment training, eco-design, pollution control, and resource consumption) and three conventional criteria (price, quality and service level) have been identified through literature review and expert’s opinions to employ MCDM approach. A real-world case study of the automotive industry in India is deliberated to exhibit the proposed framework applicability. From AHP findings, ‘Environment management system’, ‘Pollution control’, ‘Quality’, and ‘Green image’ have been ranked as the topmost four green supplier selection criteria. Besides, the consistency test was performed to check the uniformity of the expert's input whereas the ‘robustness' of the approach was tested by performing sensitivity analysis. The results illustrate that the applied fuzzy hybrid methods reach common green supplier rankings. Moreover, out of the four green supplier’s alternatives, supplier number ‘one’ got the highest rank. This shows that the applied models are robust in nature. Further, this study relinquishes a single platform for the selection of green supplier under fuzzy environment. The applied methodology and its analysis will provide insight to decision-makers of supplier selection. It may aid decision-makers and the procurement department not only to differentiate the significant green supplier selection criteria but also to assess the most efficient green supplier in the supply chain in the global market.

Novel green supplier selection method by combining quality function deployment with partitioned Bonferroni mean operator in interval type-2 fuzzy environment

Green supplier selection (GSS) plays a significant role in promoting enterprise development. Quality function deployment (QFD) ensures that green supplier assessment criteria are in accordance with the characteristics that purchased products ought to possess. The partitioned Bonferroni mean (PBM) operator assumes that all criteria are partitioned into several clusters, where criteria in the same clusters are interrelated, while criteria in different clusters are irrelevant, and it can be used to deal with GSS problems in which all criteria are partitioned into several clusters. Furthermore, interval type-2 fuzzy sets (IT2FSs) can efficiently express vagueness and imprecision, and possess powerful processing abilities. In this paper, we propose a novel GSS method by combining QFD with the PBM operator in the context of IT2FSs. Firstly, we present the interval type-2 fuzzy PBM (IT2FPBM) operator and interval type-2 fuzzy weighted PBM (IT2FWPBM) operator, and discuss several of their properties. Thereafter, we transform the preference values of the importance degrees of customer needs (CNs) into those of technical criteria (TC) through the relationships between CNs and TC, based on QFD. Moreover, the criteria are partitioned on the basis of the literature review on GSS criteria. Finally, a bike-share case is used to illustrate the applicability of the presented method, and various comparisons are used to display the superiority of the presented method.

The Establishment of a Green Supplier Selection and Guidance Mechanism with the ANP and IPA

This study aims to establish a green supplier selection and guidance mechanism by integrating the features of an ANP (Analytic Network Process) and an IPA (Importance–Performance Analysis) to achieve sustainable management for green supply chains. Using an expert survey, this study developed green supplier selection criteria. It adopted an ANP, which allows for interdependencies and feedback between the various criteria, to select competitive green suppliers. Then, it used an IPA, which can analyze the criteria’s significance and performance levels, to provide green suppliers with direction for guidance and improvements. The green supplier selection and guidance mechanism featuring an ANP and IPA is thus established and validated through case studies. The research results showed the following: (1) the green supplier selection criteria comprise a total of 11 performance evaluation criteria from the three dimensions of operation, competence, and environmental consciousness; (2) as shown by the APN evaluation results, environmental benefits, environmental regulations, finance, technological competence, and delivery time are the top five among the overall green criteria of the company; the performance of the various suppliers is thus arranged in order, and the most competitive supplier is selected; (3) an IPA is used to analyze the criteria’s significance and supplier performance levels and to provide the suppliers with suggestions on priority improvements, including implementing the requirements in the environmental regulations, establishing comprehensive financial management procedures, improving corporate technological competence, and consolidating customer service; (4) it is suggested that an ANP and IPA should be integrated in the applications, which could simplify the green supplier selection and guidance mechanisms and increase the efficiency of supplier management, thus creating a three-win situation for the clients, the company, and the suppliers.

Green supplier selection using an AHP-Entropy-TOPSIS framework

Purpose – This paper aims to focus on development of a green supplier selection model using an index system based on a combination of traditional supplier and environmental supplier selection criteria. Strategies that balance economic and environmental performance are increasingly sought after as enterprises that increasingly focus on the sustainability of their operations. Green supply chain management (GSCM) in particular, enables the integration of environmentally friendly suppliers into the supply chain to be systematised to fit with specific environmental regulations and policies. More persuasively, GSCM allows enterprises to improve profits whilst lowering impacts on the global environment. Design/methodology/approach – A two-phase survey approach was adopted for the research. For the first phase, semi-structured interviews with senior management representatives of the case company – a Chinese-based electronic machinery manufacturer – were used to determine green supplier selection criteria. For the second phase, a two-part questionnaire survey was undertaken, the first part providing the data for an analytic hierarchy process (AHP) analysis of the first-phase criteria and the second with collecting data for an Entropy weight analysis. The resultant AHP and Entropy weights were then combined to form compromised weights – which, using technique for order preference by similarity to the ideal solution (TOPSIS) methodology, were translated into preferential rankings of suppliers. Findings – Senior managers were found to rank traditional criteria more highly than environmental alternatives – the implication being that for the company, concerned, it may take some time before environmental awareness is fully assimilated into GSCM practice. Originality/value – The paper moves us a significant step closer to the application more widely, of innovative AHP-Entropy/TOPSIS methodology to real-world SCM problems.

Criteria definition and approaches in green supplier selection – a case study for raw material and packaging of food industry

This paper formulates an integrated framework for deciding about the green supplier selection criteria in food supply chain and also proposes different methods that account for single and multiple sourcing of supplier selection. Green supplier selection relies on green criteria, so determination of suitable set of criteria will affect decision-maker results directly. In this research, an operational model including combination of general and environmental criteria is introduced for green supplier selection criteria in raw material and packaging of food industry. This model reviewed a literature on general and environmental criteria that help us to know and make a set of common green criteria. Afterward, weighting criteria and collecting of sub-criteria are done by an expert team using the Analytic Hierarchy Process and Delphi method. The expert team tried to propose important and practical sub-criteria which are well fitted to food industry. Finally, in the section of supplier selection, two kinds of qualitative and quantitative data are discussed when single and multiple sourcing are required, respectively. Fuzzy Grey Relational Analysis is proposed to ranking suppliers in presence of qualitative and imprecise data. Also linear programming is used to present a model which can select the best suppliers and allocate the orders among them optimally.

An intuitionsitic fuzzy judgement matrix and TOPSIS integrated multi-criteria decision making method for green supplier selection

This article proposes an intuitionistic fuzzy multi-criteria decision making method for supplier selection problem in which attribute values take the form of intuitionistic fuzzy numbers and attribute weights are completely unknown in advance. Firstly, the definition of intuitionistic fuzzy judgement matrix by conducting pair-wise comparisons for green supplier selection criteria is introduced. Then, a novel approach for making priority of the intuitionistic fuzzy judgement matrix is proposed to determine the subject weights of criteria. Secondly, an optimization model is established to determine the objective weights, which maximizes the distance of every alternative to negative-ideal solution. Furthermore, the subject and objective weights are integrated to general weights. Then, a Technique of ranking Preferences by Similarity to the Ideal Solution (TOPSIS) method combined with intuitionistic fuzzy set is set up to rank all the alternatives. The novelty of this method is that it conducts sensitivity analysis to determine the impact of criteria weights on ranking order of alternatives. Finally, a numerical example for green supplier selection is given to illustrate application of the proposed approach.

Ranking green electronic supplier in auto industry using fuzzy Delphi

Article history: Received June 4, 2014 Accepted 12 October 2014 Available online October 17 2014 This paper presents a study to rank different green supplier involved in supplement of electronic parts in auto industry using fuzzy Delphi. The proposed study uses the fuzzy analytic hierarchy process for weighing criteria and VIKOR method to rank the suppliers. The results show that measures of corporate social responsibility, environmental management system, green procurement and green production are the most important criteria for green supplier selection. In addition, product quality, online tracking of orders, delivery time and quality of online information are the most important criteria for choosing a green electronic supplier. © 2014 Growing Science Ltd. All rights reserved. Green Management Supplier selection Auto industry

A New Fuzzy TOPSIS-TODIM Hybrid Method for Green Supplier Selection Using Fuzzy Time Function

Today green supply chain is considered all around the world and supplier selection has been changed regarding these green and carbon emission criteria, so green supplier selection has been a major problem in this area. In this study we use fuzzy time function to assist managers in green supplier selection under uncertainty and ambiguity. This function will consider derivation from the goal during the time and by using it, and we will be able to have the best supplier in every period after having some modification in legal limitations for green supplier selection criteria. We use a fuzzy TOPSIS to have better initial weighting in TODIM, a discrete multicriteria method based on prospect theory in uncertainty (known as TODIM in Portuguese) decision making method. The results indicated that our proposed approach can easily and effectively accommodate criteria with gains and loss functions during time and also by using this method we will have a more reasonable predict of our suppliers ranking in future and that will help us in future investment in these suppliers. Finally it has been shown in car industries in Iran.