Multi criteria supplier selection from social aspects in Thai tyre rubber industry

One of the main issues for companies and organisations is choosing the most appropriate supplier regarding social issues. Besides traditional criteria, companies started to focus on social issues in supplier selection. The methods of group decision making are well established approaches to tackle this issue which could allow decision makers to determine socially selected suppliers' problems. Many existing researches, nonetheless, encompasses scant review of ambiguity which is involved in the process of selecting suppliers. Hence, this study aims to propose a method combines the strength of the Fuzzy sets to deal with an uncertainty or vagueness with AHP-TOPSIS approach to select suppliers by concerning social aspects. AHP method used to identify criteria weights and TOPSIS approach is utilized to sort and select the best appropriate supplier. According to the literature review and company requirements, the criteria in social perspectives was developed to eight criteria. This study uses the questionnaire to gather data from top five manager's judgements who had been chosen based on purpose and self-selection sampling in each department. A case study was carried out in Thailand in the Tyre rubber sector to validate result. The findings demonstrate that Job security (34%) is the most important criteria, following by Employees' health and safety (16%) and Training programs (12%) respectively. The study also presents that "Supplier D" is the most suitable supplier above other suppliers

Green supplier evaluation and selection using fuzzy multi-criteria decision making in Thai tire rubber industry

Due to the challenges in increasing environmental consciousness, green supplier evaluation and selection has become an emerging issue. The objective of this paper is to propose a method for the evaluation and selection of green suppliers through an example in the Thai tire rubber industry. This study identifies seven key environmental criteria for assessing and selecting green suppliers in industry and introduces a successful implementation of Green supply chain management practices (GSCMP). The criteria have been sourced through extensive literature research and interviews with ten practicing industrial experts. The proposed methodology uses a Fuzzy Analytic Hierarchy Process (Fuzzy AHP) framework to weight the criteria and select the supplier with the best set of environmental performances. The fuzzy approach was chosen to accommodate the typical vagueness and subjectivity in any typical expert decision-making process. The real-world case study discusses the application of the method with three alternative suppliers in the tire rubber industry. The findings show that Environmental standard certification, Green technology capability and pollution reduction capability can be identified as the first three most relevant criteria in the ranking of selection of green suppliers. To evaluate the proposed framework a case example of tire rubber manufacturing is selected. Results is depicted that supplier "S2" got the highest rank of candidate suppliers in overall criteria of study

A review of sustainable supplier selection and evaluation using topic modelling

The study provides a review of sustainable supplier selection (SSS), which has proceed to emerge and expand along with greater speed over the last decades. This research aims to identify and explore the use of machine learning and text mining methods to automatically identify relevant core topics in sustainable supplier selection. The traditional approach by personal judgments with predetermined categories, cannot adequately take latent topics from large volumes of research data. Therefore, this study selects the topic modelling approach, which automatically identify topics that extend a large and unstructured collection of documents to uncover research topics in sustainable supplier selection research. The papers for the literature review were collected from SCOPUS database. The model with 20 topics was selected through the Latent Dirichlet Allocation (LDA) model from selected articles published from 2010 to 2020 in associated with various journals, and the top 5 most popular topics in sustainable supplier selection research are reviewed in a nutshell. We then explore topic trends by considering the transformation over different topics of sustainable supplier selection research over the last few decades. For each of the top 10 journals, the areas of subspecialty and the effects of editor changes on the topic portfolios are also investigated. The findings of this study are expected to provide implications for researchers, journal editors, and policy makers in the field of sustainable supplier selectio