A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system

Shayganmehr, Masoud; Luthra, Sunil; Garza‐Reyes, Jose Arturo

doi:10.1016/j.jclepro.2021.128302

Cited by 17 publications

(5 citation statements)

References 54 publications

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“…A study by Grimm et al (2018) stresses how collaboration relies on mutual benefit between Tier I suppliers and lower tier suppliers. Few research studies have explored application of traceability management systems in a fashion multi-tier SC (Mejías et al, 2019), mineral multi-tier SC (Sauer & Seuring, 2019), automotive industry (Fraser et al, 2020), and textile industry (Shayganmehr et al, 2021). In context of emerging economies, a recent study by Lechler et al (2019) stressed 'Assessment Sharing Strategic Alliances' approach to increase suppliers' sustainability compliance.…”

Section: Sustainability In Multi-tier Supply Chainmentioning

confidence: 99%

Analysis of Collaborative Sustainable Practices in multi-tier food supply chain using integrated TISM-Fuzzy MICMAC model: A supply chain practice view

Sharma

Kannan

Darbari

et al. 2022

Journal of Cleaner Production

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Section: Sustainability In Multi-tier Supply Chainmentioning

confidence: 99%

Analysis of Collaborative Sustainable Practices in multi-tier food supply chain using integrated TISM-Fuzzy MICMAC model: A supply chain practice view

Sharma

Kannan

Darbari

et al. 2022

Journal of Cleaner Production

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“…James & Montgomery, (2017) [41] have discussed getting fashion consumers involved in supply chain transparency and publicising corporate social responsibility. Shayganmehr et al, (2021) [42] employed a hybrid approach combining empirical research and a fuzzy expert system to evaluate various factors in assessing sustainability within multi-tier supply chains. The study utilised the developed fuzzy expert system to assess the readiness status of a textile company as a case application.…”

Section: Cluster 2 -Supply Chain Perspective In Transparencymentioning

confidence: 99%

Transparency in textile & apparel supply chains: a systematic review

Madumali,

Weerasinghe,

Thibbotuwawa

et al. 2023

J. S. Asian Logistics Transport

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Consumers and suppliers demand transparency in the textile and apparel industry due to increasing complexity, volatility, and competition in the global market. While research communities acknowledge the scarcity of publications in this domain, the number of related papers has surged by 122%. Nonetheless, existing reviews have primarily refrained from offering a comprehensive exploration of transparency within the broader context of textile and apparel supply chains. Consequently, a gap in systematic reviews focusing on transparency within this domain is evident. To fill this gap, our study aims to synthesise existing research on transparency in apparel and textile supply chains. To this end, we have structured our study into four research clusters derived from author-generated keywords in a carefully curated Scopus dataset. Furthermore, our study explores how transparency has evolved in textile and apparel supply chains, supported by these four clusters, which cover the following themes: 1) Sustainable approaches for transparency, 2) Supply chain perspective in transparency, 3) Implementing traceability for transparency and 4) Information transparency. Considering the insights gleaned from this comprehensive review, our study offers valuable insights and delineates potential directions for future research endeavours. These avenues for exploration can improve transparency in textile and apparel supply chains towards greater advancement and scholarly innovation.

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“…Finally, [46] introduces an expert system based on fuzzy logic to evaluate supply chain sustainability comprehensively. This system analyzes various aspects, including environmental, economic, policy, governance, participation, social issues, transparency, and leadership support, yielding a sustainability score that assists fashion companies in evaluating their operations and making decisions to achieve sustainability objectives.…”

Section: Generative Adversarial Networkmentioning

confidence: 99%

Artificial intelligence and sustainability in the fashion industry: a review from 2010 to 2022

Ramos,

Rivas-Echeverría,

Pérez

et al. 2023

SN Appl. Sci.

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The fashion industry often falls short of sustainability goals, but contemporary technological advancements offer a wide range of tools to address this issue. Artificial Intelligence (AI) has emerged as a particularly promising ally in promoting sustainability in fashion. This literature review explores how AI can contribute to the fashion industry’s sustainability, highlighting its potential benefits and limitations. Following PRISMA guidelines, we conducted a review of scientific documents, focusing on the period from 2010 to 2022. After a meticulous selection process, we analyzed 37 scholarly articles to distill their key insights and contributions. Our findings demonstrate that AI has diverse applications in different aspects of the fashion industry, enhancing sustainability efforts in supply chain management, creative design, sales and promotion, waste control, and data analysis. While AI offers significant potential, it is important to acknowledge limitations, such as the volume of data required and associated implementation costs. The reviewed literature aligns with the multifaceted nature of sustainability, emphasizing responsible resource management, accessible services, and efficient customer satisfaction, both now and in the future. In conclusion, despite some reservations, AI stands as a crucial partner in guiding the fashion industry toward a more sustainable future.

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A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system

Cited by 17 publications

References 54 publications

Analysis of Collaborative Sustainable Practices in multi-tier food supply chain using integrated TISM-Fuzzy MICMAC model: A supply chain practice view

Analysis of Collaborative Sustainable Practices in multi-tier food supply chain using integrated TISM-Fuzzy MICMAC model: A supply chain practice view

Transparency in textile & apparel supply chains: a systematic review

Artificial intelligence and sustainability in the fashion industry: a review from 2010 to 2022

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A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system

Cited by 17 publications

References 54 publications

Analysis of Collaborative Sustainable Practices in multi-tier food supply chain using integrated TISM-Fuzzy MICMAC model: A supply chain practice view

Analysis of Collaborative Sustainable Practices in multi-tier food supply chain using integrated TISM-Fuzzy MICMAC model: A supply chain practice view

Transparency in textile &amp; apparel supply chains: a systematic review

Artificial intelligence and sustainability in the fashion industry: a review from 2010 to 2022

Contact Info

Product

Resources

About

Transparency in textile & apparel supply chains: a systematic review