Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

scholarly journals Sustainable procurement practices in the supplier selection process: an exploratory study in the context of Brazilian manufacturing companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alex Moysés Barbanti ◽  
Rosley Anholon ◽  
Izabela Simon Rampasso ◽  
Vitor William Batista Martins ◽  
Osvaldo Luiz Gonçalves Quelhas ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Local Community ◽  
Manufacturing Sector ◽  
Selection Process ◽  
Correlation Method ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Procurement ◽  
Starting Point ◽  
Criteria Importance

Purpose This paper aims to evaluate the adoption of sustainable procurement practices adopted by Brazilian manufacturing companies in supplier selection; additionally, it is aimed to understand which of these practices enable a better differentiation of the analysed companies. Design/methodology/approach A systematic literature review was performed to compose the theoretical base of this research. In addition, a detailed study of ISO 20400 standard was conducted. The guidelines of ISO 20400 were used as a base to structure a questionnaire used in a survey with professionals working in procurement sphere of manufacturing companies in Brazil. The data were analysed via frequency and CRITIC (Criteria Importance Through Intercriteria Correlation) method. Findings A moderate dispersion in the adoption level of sustainable procurement practices in supplier selection process of the manufacturing companies was observed; in practices associated with social aspects, the dispersion is greater. A negative issue to be highlighted is that almost 20% of analysed companies did not even considered in their supplier selection process if their candidates accomplish philanthropic activities, generate jobs in local community and fulfill the Universal Declaration of Human Rights of United Nations (UN). Those two last practices are the ones with the best capacity to differ the companies in the sample. Originality/value There are few studies that focuses on understanding the adoption of sustainable procurement practices in manufacturing companies' supplier selection process. The main contribution of this study to the literature is to evidence that social requirements in supplier selection process are considered in a clear and well-structured form only by few Brazilian manufacturing companies. Despite the sample size, companies analysed in this research are prominent organisations in manufacturing sector. Thus, if this situation occurs in these companies, a more critical scenario will be evidenced in other organisations. This study has implication for practice and academy. For companies' managers, information present here can be used to debate the theme in the organisational context and the nine practices and scale can be used to perform a critical analysis of company's practices. For researchers, the information present here can be used as starting point for futures studies.

Selection of resilient suppliers in manufacturing industries post-COVID-19: implications for economic and social sustainability in emerging economies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abhijit Majumdar ◽  
Jeevaraj S ◽  
Mathiyazhagan Kaliyan ◽  
Rohit Agrawal
Keyword(s):  
Decision Making ◽  
Incomplete Information ◽  
Emerging Economies ◽  
Supplier Selection ◽  
Fuzzy Decision Making ◽  
Ideal Solution ◽  
Fuzzy Decision ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Selection Of

PurposeSelection of resilient suppliers has attracted the attention of researchers in the past one decade. The devastating effect of COVID-19 in emerging economies has provided great impetus to the selection of resilient suppliers. Under volatile and uncertain business scenarios, supplier selection is often done under imprecise and incomplete information, making the traditional decision-making methods ineffective. The purpose of this paper is to demonstrate the application of a fuzzy decision-making method for resilient supplier selection.Design/methodology/approachA group of three decision makers was considered for evaluating various alternatives (suppliers) based on their performance under different primary, sustainability and resilience criteria. Experts' opinion about each criterion and alternative was captured in linguistic terms and was modelled using fuzzy numbers. Then, an algorithm for solving resilient supplier selection problem based on the trapezoidal intuitionistic fuzzy technique for order preference by similarity to ideal solution (TrIFTOPSIS) was introduced and demonstrated through a case study.FindingsA closeness coefficient was used to rank the suppliers based on their distances from intuitionistic fuzzy positive-ideal solution and intuitionistic fuzzy negative-ideal solution. Finally, the proposed fuzzy decision making model was applied to a real problem of supplier selection in the clothing industry.Originality/valueThe presented TrIFTOPSIS model provides an effective route to prioritise and select resilient suppliers under imprecise and incomplete information. This is the first application of intuitionistic fuzzy multi-criteria decision-making for resilient supplier selection.

Three-way group decisions under hesitant fuzzy linguistic environment for green supplier selection

Kybernetes ◽  
2020 ◽  
Vol 49 (12) ◽  
pp. 2919-2945 ◽  
Author(s):  
Weimin Ma ◽  
Wenjing Lei ◽  
Bingzhen Sun
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Group Decisions ◽  
Content Type ◽  
Green Supplier Selection ◽  
Strategic Role ◽  
Fuzzy Linguistic ◽  
Selection Of

Purpose The purpose of this paper is to propose a three-way group decision-making approach to address the selection of green supplier, by extending decision-theoretic rough set (DTRS) into hesitant fuzzy linguistic (HFL) environment, considering the flexible evaluation expression format of HFL term set (HFLTS) and the idea of minimum expected risk in DTRS. Design/methodology/approach Specifically, the authors first present the calculation method of the conditional probability and discuss the loss functions of DTRS with HFL element (HFLE), along with some associated properties being investigated in detail. Further, three-way group decisions rules can be deduced, followed by the cost of every green supplier candidate. Thus, based on these discussions, a novel green supplier selection DTRS model that combines multi-criteria group decision-making (MCGDM) and HFLTS is designed. Findings A numerical example of green supplier selection, the comparative analysis and associated discussions are conducted to illustrate the applicability and novelty of the presented model. Practical implications The selection of green supplier has played a critically strategic role in sustainable enterprise development due to continuous environmental concerns. This paper offers an insight for companies to select green supplier selection from the perspective of three-way group decisions. Originality/value This paper uses three-way decisions to address green supplier selection in the HFL context, which is considered as a MCGDM issue.

Supporting decision-making in service supplier selection using a hybrid fuzzy extended AHP approach

2017 ◽  
Vol 23 (1) ◽  
pp. 196-222 ◽  
Author(s):  
Giustina Secundo ◽  
Donato Magarielli ◽  
Emilio Esposito ◽  
Giuseppina Passiante
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Hybrid Approach ◽  
High Tech ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process

Purpose Service supplier selection is a multi-criteria decision-making (MCDM) problem assuming a strategic role for the competitiveness of high-tech manufacturing companies. Nevertheless, especially for service quality evaluation, there is little empirical evidence of the practical usefulness of MCDM methodologies. Aiming to cover this gap between theoretical approaches and empirical applications, the purpose of this paper is to propose a fuzzy extended analytic hierarchy process (FEAHP) approach for service supplier evaluation. Design/methodology/approach A hybrid approach which combines some of the strengths of the analytic hierarchy process (AHP) and of the fuzzy set theory is presented, as organized into five steps. A case study is used to evaluate the applicability in a real company context. Findings The usability of the approach is demonstrated in an aerospace company for solving the supplier selection problem of a business software whose applications are still in infancy: a Test Data Management System (TDMS). The illustrative application contains both “general” criteria to be used for other service supplier selection contexts as well as service-specific criteria related to software selection. Research limitations/implications Even if the application regards the selection of a software supplier, the methodology can be generically extended to other services’ selection in complex manufacturing industries through the personalization of some criteria. Practical implications Implications can be derived both for business managers involved into the decision-making process and for suppliers identifying the most promising features of software quality. Originality/value The originality consists in the combination into a hybrid approach of the strong points of the AHP with the fuzzy set; the inclusion of multiple perspectives of decision criteria for service supplier selection, basically the “software product” and “supplier” ones; a real empirical application to test and demonstrate the efficacy and the practical utility of the proposed approach.

Procurement performance and manufacturer-supplier relationships: a multivariate analysis in Kuwaiti manufacturing companies

2014 ◽  
Vol 29 (5) ◽  
pp. 417-426
Author(s):  
M. Tawfik Mady ◽  
Tarek T. Mady ◽  
Sarah T. Mady
Keyword(s):  
Supplier Selection ◽  
Manufacturing Sector ◽  
Plant Size ◽  
Industrial Sector ◽  
Manufacturing Companies ◽  
Supplier Relationships ◽  
Content Type ◽  
Selection Processes ◽  
Manufacturing Sectors ◽  
Supplier Relationship

Purpose – The purpose of this study is to report and contrast manufacturer–supplier relationships, supplier selection and procurement performance of two manufacturing sectors in Kuwait. The effect of supplier relationship and selection on the performance of the procurement function was also investigated. Design/methodology/approach – Surveys of supplier selection, supplier relationship and procurement performance are taken from 62 plants operating in 2 competitive manufacturing sectors in Kuwait (foods industry and refractors industry). The study utilizes multivariate and multi-regression analyses in understanding the effect of supplier relationship and selection on the performance of the procurement function. Findings – Findings indicate a significant effect of supplier relationship and supplier selection on a plant’s procurement performance. However, variance in plant size and/or industrial sector was found to not affect this relationship. Originality/value – Despite the significance of the Gulf states and the growing importance of the manufacturing sector in these countries, relatively little is known about how buyers and suppliers within this sector interact. This study is the first to document supplier relationships and selection processes in this area of the world. The study also provides a reliable and valid scale for measuring the performance of the procurement function in the Kuwaiti manufacturing sector. Furthermore, the postulated impact of supplier–buyer relationships on the performance of the procurement functions was investigated in a newly emerging economy in the Gulf.

scholarly journals Decision-making approaches in process innovations: an explorative case study

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Erik Flores-Garcia ◽  
Jessica Bruch ◽  
Magnus Wiktorsson ◽  
Mats Jackson
Keyword(s):  
Decision Making ◽  
Production Systems ◽  
Current Understanding ◽  
Research Approach ◽  
Manufacturing Companies ◽  
Content Type ◽  
Process Innovations ◽  
Combined Use ◽  
Selection Of

Purpose The purpose of this paper is to explore the selection of decision-making approaches at manufacturing companies when implementing process innovations. Design/methodology/approach This study reviews the current understanding of decision structuredness for determining a decision-making approach and conducts a case study based on an interactive research approach at a global manufacturer. Findings The findings show the correspondence of intuitive, normative and combined intuitive and normative decision-making approaches in relation to varying degrees of equivocality and analyzability. Accordingly, the conditions for determining a decision-making choice when implementing process innovations are revealed. Research limitations/implications This study contributes to increased understanding of the combined use of intuitive and normative decision making in production system design. Practical implications Empirical data are drawn from two projects in the heavy-vehicle industry. The study describes decisions, from start to finish, and the corresponding decision-making approaches when implementing process innovations. These findings are of value to staff responsible for the design of production systems. Originality/value Unlike prior conceptual studies, this study considers normative, intuitive and combined intuitive and normative decision making. In addition, this study extends the current understanding of decision structuredness and discloses the correspondence of decision-making approaches to varying degrees of equivocality and analyzability.

Challenges in the implementation of circular economy in manufacturing industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Madhukar Chhimwal ◽  
Saurabh Agrawal ◽  
Girish Kumar
Keyword(s):  
Decision Making ◽  
Circular Economy ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Strategic Decision ◽  
Fuzzy Decision Making ◽  
Content Type ◽  
Pareto Analysis ◽  
Comprehensive Survey ◽  
Novel Concept

Purpose The circular economy concepts are useful for resource conservation, eliminating waste and enhancing the efficiency of production to improve the sustainability of the system. The application of CE in Indian manufacturing industry is in nascent stage. India’s manufacturing sector significantly contributes to the economic development of the nation; therefore, this study aims to identify and analyze the sustainability related challenges faced during the implementation of the circularity concept. Design/methodology/approach Comprehensive survey of literature and the use of Pareto analysis yield ten significant challenges which are further analyzed using fuzzy-Decision-Making Trial and Evaluation Laboratory approach. Findings Findings revealed that noncompliance of environmental laws, revenue generation, design issues owing to technological limitations and less preference to refurbished and reused product are some of the major challenges to the CE practices in the manufacturing industry. Research limitations/implications The results will help the researchers and practitioners in strategic decision-making for the improved application of circularity in the production process. Originality/value This paper contributes to the identification and prioritization of sustainability-related challenges faced during the implementation of a novel concept by a developing economy.

Digital supplier selection reinforcing supply chain quality management systems to enhance firm's performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manu Sharma ◽  
Sudhanshu Joshi
Keyword(s):  
Decision Making ◽  
Quality Management ◽  
Supplier Selection ◽  
Manufacturing Firms ◽  
Management Systems ◽  
Digital Innovation ◽  
Quality Management Systems ◽  
Content Type ◽  
Manufacturing Organizations ◽  
Selection Of

PurposeThe geographical scattering of physical facilities in conventional supply chains enforces firms to shift toward digital supply chains (DSCs). While switching to DSCs, the decision-making becomes more complex with an upsurge in the size of the manufacturing firms. The manufacturing firms need to develop supply chain quality management (SCQM) systems to improvise their processes for delivering advance products and services. For developing SCQM, the role of the digital supplier is significant, as they may recuperate the quality management systems (QMS) for enhancing the firm's performance. The purpose of this paper is to explore the factors that affect the selection of digital suppliers. The other purpose is to evaluate the alternatives for identifying the best supplier that enhances the QMS for DSCs.Design/methodology/approachThe decision-making is complex for digital supplier selection (DSS) and thus, the study has utilized integrated SWARA-WASPAS methods for their critical evaluation. The stepwise weight assessment ratio analysis (SWARA) method has been utilized for identifying the weightage of factors and weighted aggregated sum product assessment (WASPAS) for assessing the digital suppliers to explore the best alternative. The integrated SWARA-WASPAS method is the most advance approach in multi-criteria decision-making (MCDM) for the evaluation of the factors.FindingsThe study reveals that supplier competency is the most significant factor in selecting digital supplier in DSC that may improve the product and service quality. The study also explores that manufacturing firms needs an efficient system for developing value for the internal and external partners that help them to cope up with the dynamic world. On the basis of the WASPAS results, supplier S8 has been ranked as the best supplier who has highest competency in the form of responsiveness, resilience, sustainable practices and digital innovation.Research limitations/implicationsThe factors are assessed on the decision team of experts that may be biased and thus, the research may further be validated through empirical studies. The research has to be extended in other nations for exploring how organizations and customers are responding to the DSCs.Practical implicationsThe study has given insights to the manufacturing firms to consider the crucial factors for DSS, as it affects the overall performance of the organizations. The decision makers of manufacturing organizations should consider the factors such as supplier competency, digital innovation and information sharing for value creation that may provide them better opportunities for developing their DSCs along with their digital suppliers to connect with stakeholders appropriately.Social implicationsThe improved SCQM aligned with DSS will offer quality products that are sustainable and provide social and economic benefits to the society. The DSS will be able to provide improvisation of the existing products and services for developing a sustainable value chains for the manufacturing organizations. This process will bring more transparency, viability and sustainability in the product and services. As a result, the DSC partners will be more transparent, viable and resilient.Originality/valueThe research on DSS and its importance in enhancing QMS is limited. This research is the novel approach to understand the criteria behind the selection of the digital suppliers’ role and their presence in enhancing the quality of products and services.

scholarly journals Circular economy in the manufacturing sector: benefits, opportunities and barriers

2019 ◽  
Vol 57 (4) ◽  
pp. 1067-1086 ◽  
Author(s):  
Vikas Kumar ◽  
Ihsan Sezersan ◽  
Jose Arturo Garza-Reyes ◽  
Ernesto D.R.S. Gonzalez ◽  
Moh’d Anwer AL-Shboul
Keyword(s):  
Circular Economy ◽  
Manufacturing Sector ◽  
Empirical Literature ◽  
Survey Questionnaire ◽  
Manufacturing Companies ◽  
Content Type ◽  
Classic Approach ◽  
Barriers And Opportunities ◽  
The Uk ◽  
Political Economic

Purpose In recent years, circular economy (CE) has come to prominence as an alternative to the classic approach of “make-use-dispose”. How companies can exploit the opportunities of CE to position themselves better are not well articulated in the literature. The purpose of this paper, therefore, is to identify the barriers and opportunities of CE in the manufacturing sector through a socio-political, economic, legal and environmental perspective. Design/methodology/approach The study adopts a positivist approach, which is deductive in nature. A survey questionnaire was designed and distributed to manufacturing companies operating in the UK and EU. The study used FAME database and social networking platform LinkedIn to identify manufacturing companies. More than 200+ companies were approached for this study and data collection lasted over two months. Findings The study provides a comprehensive review of the CE literature and identifies a number of barriers and opportunities to CE implementation from a socio-political, economic, legal and environmental perspective. The findings highlight key barriers, opportunities and benefits of CE for the manufacturing industries operating in the UK and EU. Research limitations/implications The findings are limited to 63 responses from the survey questionnaire distributed to manufacturing companies in the UK and EU. The present study aims to equip manufacturers with necessary understanding of the key opportunities and barriers to address the challenges encountered during the implementation of CE. Originality/value This study adds to the limited empirical literature on CE barriers and opportunities to manufacturing organisations operating in the UK and EU. The paper also identifies barriers and opportunities of CE from a socio-political, economic, legal and environmental lens.

Supplier selection using grey theory: a case study from Indian banking industry

2015 ◽  
Vol 28 (6) ◽  
pp. 769-787 ◽  
Author(s):  
Vikas Thakur ◽  
Ramesh Anbanandam
Keyword(s):  
Supplier Selection ◽  
Banking Sector ◽  
Banking Industry ◽  
Manufacturing Sector ◽  
Banking System ◽  
Internet Banking ◽  
Grey Theory ◽  
Uncertain Information ◽  
Theory Approach ◽  
Content Type

Purpose – As the suppliers of any organization are considered as the strategic partners and taken as the integral part of the supply chain network, hence it is very crucial decision to select the suppliers in order to get the competitive edge. Whenever, any organization select its suppliers then organization evaluates every supplier with respect to certain criteria, which are already listed in the organization’s policies. Since supplier selection is based on the evaluation of various attributes of each alternative; therefore this problem is a multi-attribute decision-making (MADM) problem. The purpose of this paper is to propose a model for selecting the best supplier. Design/methodology/approach – This paper reports the implementation of grey theory to choose the appropriate supplier with uncertain information. Grey values have been used to give the ratings and weightage to various criteria which are being used to evaluate the different supplier alternatives. And finally the grey possibility degree has been calculated to rate the various alternatives. Findings – This paper proposed a MADM model based on grey theory to select the optimal supplier and finally, the proposed model has been applied to select the best supplier for “optimizing digital banking” in the Indian context. Research limitations/implications – The selection criteria selected here through literature review may not fit the whole industry and moreover this paper can be extended into the field where multiple-supplier selection is required, like in manufacturing sector where the authors cannot rely always on single supplier. So, in that case the authors need to pick more than one best alternatives. Practical implications – The grey theory approach can be applied almost all the services industries, where the exact information about the suppliers in quantitative terms is very difficult to find. So the authors can use the grey numbers to rate the suppliers. Social implications – Since, the coming generation is more dependent on the internet banking, so it becomes very much necessary for the banking sector to update the existing system. Due to lack in technical skills, outsourcing the information technology and software development is the best option. Hence, Grey theory based model can be used in selecting the best supplier under uncertain information. Originality/value – Very few studies have been done in India using grey theory approach for supplier selection and moreover, to the best knowledge of the authors’ this is the first study which employs grey theory for selecting the best supplier in banking industry. Moreover the digital banking system is the future of banking industry, so every player should provide the digital banking structure in order to survive in the market.

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