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Journal ArticleDOI

A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy

TLDR
The proposed DSS allows users to customize and weight their economic, social, and circular criteria with a fuzzy best-worst method (BWM) and select the most suitable supplier with the fuzzy inference system (FIS).
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This article is published in Sustainable Production and Consumption.The article was published on 2021-07-01. It has received 72 citations till now. The article focuses on the topics: Supply chain & Decision support system.

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Citations
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Journal ArticleDOI

Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises

TL;DR: In this article , a detailed analysis of the literature based on emerging themes was conducted with a focus on illuminating the path of circular economy implementation, which revealed that IoT and AI play a key role in the transition towards the circular economy transformation.
Journal ArticleDOI

An integrated decision-making approach for green supplier selection in an agri-food supply chain: Threshold of robustness worthiness

TL;DR: A multi-criteria decision-making 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 and a robust goal programming approach based on Shannon entropy is applied.
Journal ArticleDOI

Circular Supplier Selection in the Construction Industry: A Sustainability Perspective for the Emerging Economies

TL;DR: In this paper , the authors proposed an integrated multiple-criteria decision-making (MCDM) framework, which is comprised of a fuzzy analytical hierarchy process (FAHP) and a preference ranking organization method for enrichment of evaluations II (PROMETHEE II) for circular supplier selection in the construction industry from the perspective of countries with emerging economies.
Journal ArticleDOI

Sustainable Supplier Selection in the Textile Dyeing Industry: An Integrated Multi-Criteria Decision Analytics Approach

TL;DR: In this paper , a multi-criteria decision-making framework for sustainable supplier selection in the textile dyeing industry, one of Bangladesh's largest chemical consuming industries, was developed.
Journal ArticleDOI

Building a data‐driven circular supply chain hierarchical structure: Resource recovery implementation drives circular business strategy

TL;DR: In this paper , a hierarchical circular supply chain structure from big data including qualitative and quantitative information is proposed to identify the opportunities and challenges of the circular business strategy and life cycle sustainability assessment.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI

An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller

TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
Journal ArticleDOI

Best-worst multi-criteria decision-making method

TL;DR: In this article, a new method, called best-worst method (BWM) is proposed to solve multi-criteria decision-making (MCDM) problems, in which a number of alternatives are evaluated with respect to different criteria in order to select the best alternative(s).
Journal ArticleDOI

An introductory survey of fuzzy control

TL;DR: This paper picks up key points in applying fuzzy control and shows very recent results in industrial applications and points out some interesting and important problems to be solved.
Related Papers (5)
Trending Questions (1)
How to design a robust decision support system for circular disassembly processes?

The paper proposes a dynamic decision support system for sustainable supplier selection in circular supply chains, but does not specifically address the design of a decision support system for circular disassembly processes.