Decision making on supplier selection based on social, ethical, and environmental criteria: A study in the textile industry

Currently, companies are required to improve supply chain performance. One of the main problems in the supply chain is the proper supplier selection. Supplier selection has an essential role in improving supply chain management performance. Supplier selection requires the proper criteria. However, the relationship between criteria is rarely considered in the selection of suppliers in the textile industry. This study tries to propose integrating the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) for supplier selection in the textile industry. Both methods are multi-criteria decision making (MCDM) tools DEMATEL is used to assess the relationship between criteria. Furthermore, ANP is used to evaluate and weigh the importance of criteria and suppliers. A case study was carried out in a textile company located in Indonesia. The results show that this procedure can identify the relationship and effect of each criterion. The results show that the product price criteria are the criteria that have the most significant weight. The criteria for conformity to specifications and consistency of quality are in second and third place. Finally, suppliers are selected based on weight assessment on each criterion by ANP.

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An AHP and Fuzzy AHP Multifactor Decision Making Approach for Technology and Supplier Selection in the High-Functionality Textile Industry

IEEE Transactions on Engineering Management ◽

10.1109/tem.2019.2923286 ◽

2019 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Adrian E. Coronado Mondragon ◽

Ernesto Mastrocinque ◽

Jung-Fa Tsai ◽

Paul J. Hogg

Keyword(s):

Decision Making ◽

Textile Industry ◽

Supplier Selection ◽

Fuzzy Ahp

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A New Robust Dynamic Data Envelopment Analysis Approach for Sustainable Supplier Evaluation

Advances in Operations Research ◽

10.1155/2018/7625025 ◽

2018 ◽

Vol 2018 ◽

pp. 1-20 ◽

Cited By ~ 1

Author(s):

Hava Nikfarjam ◽

Mohsen Rostamy-Malkhalifeh ◽

Abbasali Noura

Keyword(s):

Decision Making ◽

Data Envelopment Analysis ◽

Robust Optimization ◽

Supplier Selection ◽

Optimization Approach ◽

Data Envelopment ◽

Environmental Criteria ◽

Decision Making Unit ◽

Modern Business ◽

Dynamic Data Envelopment Analysis

Supplier selection is one of the intricate decisions of managers in modern business era. There are different methods and techniques for supplier selection. Data envelopment analysis (DEA) is a popular decision-making method that can be used for this purpose. In this paper, a new dynamic DEA approach is proposed which is capable of evaluating the suppliers in consecutive periods based on their inputs, outputs, and the relationships between the periods classified as desirable relationships, undesirable relationships, and free relationships with positive and negative natures. To this aim various social, economic, and environmental criteria are taken into account. A new method for constructing an ideal decision-making unit (DMU) is proposed in this paper which differs from the existing ones in the literature according to its capability of considering periods with unit efficiencies which do not necessarily belong to a unique DMU. Furthermore, the new ideal DMU has the required ability to rank the suppliers with the same efficiency ratio. In the concerned problem, the supplier that has unit efficiency in each period is selected to construct an ideal supplier. Since it is possible to have more than one supplier with unit efficiency in each period, the ideal supplier can be made with different scenarios with a given probability. To deal with such uncertain condition, a new robust dynamic DEA model is elaborated based on a scenario-based robust optimization approach. Computational results indicate that the proposed robust optimization approach can evaluate and rank the suppliers with unit efficiencies which could not be ranked previously. Furthermore, the proposed ideal DMU can be appropriately used as a benchmark for other DMUs to adjust the probable improvement plans.

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Analyzing buyer behavior when selecting green criteria in public procurement

Journal of Public Procurement ◽

10.1108/jopp-17-02-2017-b001 ◽

2017 ◽

Vol 17 (2) ◽

pp. 141-186 ◽

Cited By ~ 10

Author(s):

Mieko Igarashi ◽

Luitzen de Boer ◽

Gerit Pfuhl

Keyword(s):

Decision Making ◽

Supplier Selection ◽

Selection Criteria ◽

Public Procurement ◽

Information Source ◽

Buyer Behavior ◽

Occupational Position ◽

Environmental Criteria ◽

Green Public Procurement ◽

Green Criteria

Given the complexity of green public procurement, decisions are likely to be driven by bounded rationality. However, we know little about what determines supplier selection criteria in any given situation. This study explores buyer behavior when considering environmental criteria. We first conducted interviews and identified 12 operational procedures used by buyers. We then developed a survey to explore the use of these procedures. Our quantitative analysis suggests that public buyers are motivated by their belief that they can make a difference. This is independent of buyers' experience or gender. However, their occupational position and the nature of a procurement seem to influence how buyers seek information about environmental criteria and which information source(s) they use. The data suggest that four specific decision-making heuristics are associated with the selected operational procedures.

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Inverse Malthusianism and Recycling Economics: The Case of the Textile Industry

Sustainability ◽

10.3390/su12145861 ◽

2020 ◽

Vol 12 (14) ◽

pp. 5861

Author(s):

Francisco Salas-Molina ◽

David Pla-Santamaria ◽

Maria Luisa Vercher-Ferrándiz ◽

Javier Reig-Mullor

Keyword(s):

Decision Making ◽

Environmental Impact ◽

Textile Industry ◽

Relevant Information ◽

Decision Making Process ◽

Environmental Aspects ◽

Materials Selection ◽

Economic Concept ◽

Exponential Increase ◽

Environmental Criteria

The current use of natural resources in the textile industry leads us to introduce a new economic concept called inverse Malthusianism describing a context in which population grows linearly and resource consumption grows exponentially. Inverse Malthusianism implies an exponential increase in environmental impact that recycling may contribute to reduce. Our main goal is to extend the analysis of materials selection under the principle of equimarginality proposed by Jevons. As a first result, we show the particular circumstances under which policies excluding recycled supplies are never optimal. We also aim to overcome the difficulties of reducing environmental aspects to monetary units. To this end, we propose a multicriteria approach to solve the conventional-recycled materials dilemma considering not only economic but also environmental criteria. Then, we allow producers to enrich their decision-making process with relevant information about the environmental impact of materials selection. Although we use examples of the textile industry to illustrate our results, most of the insights in this paper can be extended to other industries.

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An Integrated Decision-Making Approach for Green Supplier Selection in an Agri-Food Supply Chain: Threshold of Robustness Worthiness

Mathematics ◽

10.3390/math9111304 ◽

2021 ◽

Vol 9 (11) ◽

pp. 1304

Author(s):

Erfan Babaee Tirkolaee ◽

Zahra Dashtian ◽

Gerhard-Wilhelm Weber ◽

Hana Tomaskova ◽

Mehdi Soltani ◽

...

Keyword(s):

Decision Making ◽

Supply Chain ◽

Supplier Selection ◽

Mixed Integer ◽

Future Research ◽

Analytic Hierarchy ◽

Food Manufacturing ◽

Environmental Criteria ◽

Manufacturing Company ◽

Service Areas

Along with the increased competition in production and service areas, many organizations attempt to provide their products at a lower price and higher quality. On the other hand, consideration of environmental criteria in the conventional supplier selection methodologies is required for companies trying to promote green supply chain management (GSCM). In this regard, a multi-criteria decision-making (MCDM) technique based on analytic hierarchy process (AHP) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) is used to evaluate and rate the suppliers. Then, considering the resource constraint, weight of criteria and a rank of suppliers are taken into account in a multi-objective mixed-integer linear programming (MOMILP) to determine the optimum order quantity of each supplier under uncertain conditions. To deal with the uncertain multi-objectiveness of the proposed model, a robust goal programming (RGP) approach based on Shannon entropy is applied. The offered methodology is applied to a real case study from a green service food manufacturing company in Iran in order to verify its applicability with a sensitivity analysis performed on different uncertainty levels. Furthermore, the threshold of robustness worthiness (TRW) is studied by applying different budgets of uncertainty for the green service food manufacturing company. Finally, a discussion and conclusion on the applicability of the methodology is provided, and an outlook to future research projects is given.

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