One of the major challenges of the supply chain managers is to select the best suppliers among all possible ones for their business. Although the research on the supplier selection with regards to ...green, sustainability or resiliency criteria has been contributed by many papers, simultaneous consideration of these criteria in a fuzzy environment is rarely studied. Hence, this study proposes a fuzzy decision framework to investigate the sustainable-resilient supplier selection problem for a real case study of palm oil industry in Malaysia. Firstly, the resilient-based sustainable criteria are localized for the suppliers' performance evaluation in palm oil industry of Malaysia. Accordingly, 30 criteria in three different aspects (i.e. general, sustainable and resilient) are determined by statistical tests. Moreover, a hyper-hybrid model with the use of FDEMATEL (fuzzy decision-making trial and evaluation laboratory), FBWM (fuzzy best worst method), FANP (fuzzy analytical network process) and FIS (fuzzy inference system), simultaneously is developed to employ their merits in an efficient way. In this framework, regarding the outset, the relationships among the criteria/sub-criteria are obtained by FDEMATEL method. Then, initial weights of the criteria/sub-criteria are measured by FBWM method. Next, the final weights of criteria/sub-criteria considering the interrelationships are calculated by FANP. Finally, the performance of the suppliers is evaluated by FIS method. To show the applicability of this hybrid decision-making framework, an industrial case of palm oil in Malaysia is presented. The findings indicate the high performance of the proposed framework in this concept and identify the most important criteria including the cost in general aspects, resource consumption as the most crucial sustainable criterion and agility as the most important resilient criterion.
Supplier evaluation and selection problem has been studied extensively. Various decision making approaches have been proposed to tackle the problem. In contemporary supply chain management, the ...performance of potential suppliers is evaluated against multiple criteria rather than considering a single factor-cost. This paper reviews the literature of the multi-criteria decision making approaches for supplier evaluation and selection. Related articles appearing in the international journals from 2000 to 2008 are gathered and analyzed so that the following three questions can be answered: (i) Which approaches were prevalently applied? (ii) Which evaluating criteria were paid more attention to? (iii) Is there any inadequacy of the approaches? Based on the inadequacy, if any, some improvements and possible future work are recommended. This research not only provides evidence that the multi-criteria decision making approaches are better than the traditional cost-based approach, but also aids the researchers and decision makers in applying the approaches effectively.
The modern era of manufacturing has recognized the importance of a sustainable supply chain management (SCM) system for any industry in order to attain the desired level of stability and productivity ...for fulfillment of the customers’ requirements. Selection of the most suitable set of suppliers is an integral part of SCM which can be effectively solved with the deployment of different multi-criteria decision making (MCDM) techniques. This paper endeavors to resolve the uncertainty involved in the decision making process of supplier selection with the application of D numbers. A relatively new MCDM technique in the form of measurement alternatives and ranking according to compromise solution (MARCOS) is later employed for ranking of a set of alternative suppliers. This integrated approach is finally applied to choose the best performing supplier in a leading Indian iron and steel making industry based on seven selective evaluation criteria and opinions of three decision makers. It would provide more generic and unbiased results while addressing the uncertainty and ambiguity involved in the supplier selection process.
This study conducts a systematic meta-literature review in the field of sustainable supplier selection. The number of published papers within the domain of sustainable supplier selection has grown ...considerably in recent years. Up until now, there has been no attempt quantitatively analyze the content of these published papers using bibliometric and network analysis software. Thus, this paper utilizes Gephi and Bibexcel software to conduct a quantitative review. In total, 4,882 documents were reviewed based on 336 combinations searched in Scopus and the Web of Science from 1990 to March 2018. Bibliometric, co-word and co-citation analysis are applied to quantitatively extract and analyze the content of these papers. The analysis reveals that: 1) There is a gap between industry and academia that needs to be bridged; 2) More studies in the area of global sourcing are needed; 3) Comparing the outcomes of different supplier evaluation methods is required; 4) There has been no major shift or change in the traditional supplier selection practices; 5) The ratio of the applied social criteria is relatively low compared to the total number of criteria; 6) The innovation capability of suppliers needs to be further considered; 7) More studies of sustainable supplier selection are needed in the e-procurement arena, as well as service-based industries such as healthcare, and 8) Evaluating the sustainability of suppliers in a dynamic environment needs to be further studied. The conclusion also reveals that only a limited number of journals exhibit a specific focus on the sustainable supplier selection arena; analytical and mathematical-based methods are the most applied supplier selection tools and there is a misalignment between the applied criteria in the triple bottom line.
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•A systematic meta-literature review using Gephi and Bibexcel software.•Bibliometric, co-word and co-citation analysis are applied.•Fuzzy logic theory is the most widely applied method in the field.•Fuzzy TOPSIS and fuzzy AHP are most applied hybrid methods.•Four main research clusters are recognized.
In this paper is presented a novel integrated fuzzy – rough Multi-Criteria Decision-Making (MCDM) model based on integration fuzzy and interval rough set theory. Model integrates Fuzzy PIvot Pairwise ...RElative Criteria Importance Assessment - fuzzy PIPRECIA and Interval rough Simple Additive Weighting (SAW) methods. An illustrative example for demonstration of the model is proposed that represents evaluation and supplier selection based on nine environmental criteria. Fuzzy PIPRECIA method is used for determining the significance of the following seven criteria: C1 - environmental image, C2 - recycling, C3 - pollution control, C4 - environmental management system, C5 – environmentally friendly products, C6 - resource consumption and C7 - green competencies. Iterval rough SAW method is applied for evaluation four alternatives. Results show that third criterion is most important while fourth alternative represents the best solution.
A fuzzy-QFD approach to supplier selection Bevilacqua, M.; Ciarapica, F.E.; Giacchetta, G.
Journal of purchasing and supply management,
2006, 2006-1-00, Letnik:
12, Številka:
1
Journal Article
Recenzirano
This article suggests a new method that transfers the house of quality (HOQ) approach typical of quality function deployment (QFD) problems to the supplier selection process. To test its efficacy, ...the method is applied to a supplier selection process for a medium-to-large industry that manufactures complete clutch couplings.
The study starts by identifying the features that the purchased product should have (internal variables “
WHAT”) in order to satisfy the company's needs, then it seeks to establish the relevant supplier assessment criteria (external variables “
HOW”) in order to come up with a final ranking based on the fuzzy suitability index (FSI). The whole procedure was implemented using fuzzy numbers; the application of a fuzzy algorithm allowed the company to define by means of linguistic variables the relative importance of the “
WHAT”, the “
HOW”
–“
WHAT” correlation scores, the resulting weights of the “
HOW” and the impact of each potential supplier.
Special attention is paid to the various subjective assessments in the HOQ process, and symmetrical triangular fuzzy numbers are suggested to capture the vagueness in people's verbal assessments.
•A new MCDM model – MARCOS for sustainable supplier selection is proposed.•The first study for sustainable supplier selection in private healthcare industry.•An original flexible and simple model for ...solving MCDM problems is proposed.•Developed method – potential contribution to PMADM literature.
Multi-criteria decision-making (MCDM) methods are very useful tools for daily decision-making in different fields. In addition, determining an acceptable solution with respect to different factors is certainly a very demanding and difficult task. In this paper, a new Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) method for a sustainable supplier selection in the healthcare industry (in a polyclinic) in Bosnia and Herzegovina is developed. The advantages of the developed method are: the consideration of an anti-ideal and ideal solution at the very beginning of the formation of an initial matrix, closer determination of utility degree in relation to both solutions, the proposal of a new way to determine utility functions and their aggregation, the possibility to consider a large set of criteria and alternatives while maintaining the stability of the method. Supplier selection is very important for organizations in the medical industry. Sustainability in the supplier selection process in the medical industry is a strategically important issue, and poorly implemented in the private medical sector. Therefore, the example explains how to use the MARCOS method to select sustainable suppliers in the private medical sector. A case study of a sustainable supplier selection for the healthcare industry (a polyclinic) includes ranking of eight alternatives with regard to 21 criteria for all aspects of sustainability. The results and verification of the new method are carried out throughout a comprehensive sensitivity analysis. 21 scenarios with changes in the weight values of criteria were established, the measurement scale from 1 to 9 was changed to 1–5, a comparison with six other MCDM methods was performed, and it was verified in dynamic conditions which implied a change of the elements of the initial decision-making matrix. All phases of the sensitivity analysis showed the validity of MARCOS method. The obtained results and all scenarios in sensitivity analysis show that A2 remains the best alternative.
The process of selecting the right suppliers should be seen as more than simply scanning a set of available price lists and comparing them, but rather as including a wide range of different criteria, ...whether qualitative or quantitative. In contemporary supply chain management, potential supplier performance is evaluated on the basis of multiple criteria rather than considering cost as the main criterion in decision-making. This makes the process of selecting the best supplier from a group of suppliers a complex and difficult process, due to the multiplicity of criteria that must be taken into account in the evaluation process. The aim of this study is to implement a hybrid Grey theory-MARCOS methods for decision-making regarding the selection of suppliers in the Libyan Iron and Steel Company (LISCO) to help it compete. This hybrid model is divided into two phases: the first consists of determining the weights of the criteria that contribute to decision-making, which has been done using the Grey theory, and the second phase consists of selecting the best supplier from among the six suppliers, which has been completed using the MARCOS model. For the purpose of measuring the effectiveness of the model, it has been compared to three other methods, CODAS, TOPSIS, and VIKOR. The results showed that the proposed method was effectively able to select the best supplier among the six alternative suppliers.
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