The Intuitionistic Fuzzy Set FlowSort methodology for green supplier Evaluation

Remadi, Fedia Daami; Frikha, Hela Moalla

doi:10.1109/dasa51403.2020.9317061

Cited by 6 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Research reveals that linguistic evaluation-based multi-criteria decision-making techniques helps in making a best selection decision by using a weighting process within the current alternatives through pairwise comparisons, as demonstrated by Kabir and Hasin (2011) to classify inventory. There are numerous occasions when MCDM methods were used to solve selection problems by considering green criteria (Remadi & Frikha, 2020, Rashidi & Cullinane, 2019.…”

Section: Rationale Of the Researchmentioning

confidence: 99%

Sustainability implications in electrical energy substations: Green supplier’s performance evaluation using fuzzy TOPSIS method

Hasin,

Siddiquee,

Hasin

2025

10.5267/j.jfs

View full text Add to dashboard Cite

Sustainability is getting preference now-a-days in most of the countries in the world. This implies industrial and other developments for economic growth, and of course civilization, but certainly not at the cost of environmental degradation. Environmental conservation is a must. One of the major components of industrial sectors is their electrical energy inputs through electrical substation. Numerous research addresses the issue of energy pollution, cantering on fossil fuel. A very few research can be found which address the issue of pollution generated from electrical energy. This research addresses this issue, with special attention to electrical substations. In the last two or three decades, several electrical equipment manufacturers have started producing this equipment in Bangladesh, which were previously import-oriented. This equipment use various types of oils, acids, zinc and other metals, which are all environmentally hazardous. Thus, any industrial company, buying such equipment from substation manufacturers, should consider green aspects. As such, now it is of prime importance to select green suppliers of substation equipment. Since selection of right or green supplier involves multi-criteria evaluation, Multi-criteria Decision Making (MCDM) technique is essential. Additionally, both qualitative and quantitative criteria require fuzzy analysis to make it more precise and realistic. This research addressed the issue of environmental pollution, its sources, nature and severity, and their mitigation through selecting green suppliers.

show abstract

Section: Rationale Of the Researchmentioning

confidence: 99%

Sustainability implications in electrical energy substations: Green supplier’s performance evaluation using fuzzy TOPSIS method

Hasin,

Siddiquee,

Hasin

2025

10.5267/j.jfs

View full text Add to dashboard Cite

show abstract

“…Evaluation of a supplier taking into account environmental and economic implications is regarded as a significant multi-criteria decision-making (MCDM) challenge. Undertaking the fact that the suppliers effectively incorporated green criteria, MCDM approaches are successful in treating the issue (Remadi & Frikha, 2020). A multi-criterion, intricate supply chain challenge is supplier selection.…”

Section: Introductionmentioning

confidence: 99%

Greening the pillars of pharmaceuticals: Sustainable supplier selection in emerging economies

Siddiquee,

Shaha,

Hasin

2024

10.5267/j.jfs

View full text Add to dashboard Cite

The pharmaceutical industry is vital for global health, supplying necessary medicines, yet its conventional supply chain has notable environmental and social impacts. Amid a growing sustainability focus across sectors, the pharmaceutical industry must also adopt sustainable practices throughout its supply chain. This includes lessening its ecological impact, curbing waste, and endorsing social responsibility. Assessing a supplier's environmental performance, or "green performance," is of great interest. This involves gauging their eco-friendly actions like energy efficiency, waste management, and carbon footprint reduction. Metrics cover certifications, resource conservation, and responsible sourcing. In a study within a renowned Bangladeshi pharmaceutical firm, a key drugs manufacturer, seven criteria were used to evaluate suppliers' green performance. For this multi-criteria decision-making (MCDM) task, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was applied, considering a fuzzy environment. It ranked alternative suppliers via a widely used approach using linguistic terms expressed as Triangular Fuzzy Numbers (TFN). Important weights were determined via the Center of Area (COA) method. The study revealed supplier 4 as the top performer in green performance among five alternatives. This study introduces an innovative strategy for manufacturing decision-makers to choose the most suitable green supplier. It's anticipated to aid decision-makers in emerging economy pharmaceutical industries, facilitating the efficient evaluation of economically viable and environmentally sustainable suppliers for the long term.

show abstract

Evaluation of the Special Warehouse Handling Equipment (Turret Trucks) Using Integrated FUCOM and WASPAS Techniques Based on Intuitionistic Fuzzy Dombi Aggregation Operators

2023

View full text Add to dashboard Cite

The Intuitionistic Fuzzy Set FlowSort methodology for green supplier Evaluation

Cited by 6 publications

References 20 publications

Sustainability implications in electrical energy substations: Green supplier’s performance evaluation using fuzzy TOPSIS method

Sustainability implications in electrical energy substations: Green supplier’s performance evaluation using fuzzy TOPSIS method

Greening the pillars of pharmaceuticals: Sustainable supplier selection in emerging economies

Evaluation of the Special Warehouse Handling Equipment (Turret Trucks) Using Integrated FUCOM and WASPAS Techniques Based on Intuitionistic Fuzzy Dombi Aggregation Operators

Contact Info

Product

Resources

About