Peeling the Onion! What are the drivers and barriers of cleaner production? A case of the Kenyan manufacturing SMEs

Mungai, Edward M.; Ndiritu, S. Wagura

doi:10.1016/j.jclepro.2022.135436

Cited by 14 publications

(17 citation statements)

References 53 publications

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“…Global manufacturing sectors are proactively transitioning towards sustainable and cleaner production methods in alignment with SDGs 12 targets which aim to achieve the environmentally sound management of chemicals and substantially reduce waste generation through prevention, reduction, recycling, and reuse, all while avoiding releases into air, water, and soil. This collective effort seeks to mitigate potential negative effects on both human health and the environment [ 54 , 55 ]. The production of denim yarn using as much as 60 % recycled cotton in this study introduces a concept aimed at advancing sustainability, and concurrently, providing the opportunity for cost-efficient denim clothing production.…”

Section: Resultsmentioning

confidence: 99%

Sustainable and cleaner production of elastic core-spun yarns for stretch denim with maximal utilization of recycled cotton extracted from pre-consumer fabric waste

Uddin,

Rahman

2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Sustainable and cleaner production of elastic core-spun yarns for stretch denim with maximal utilization of recycled cotton extracted from pre-consumer fabric waste

Uddin,

Rahman

2024

Heliyon

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“…Global manufacturing industries are actively transitioning to more environmentally friendly and cleaner production methods, offering several advantages such as reduced expenses associated with waste management and raw materials (Mungai and Ndiritu, 2023). With over half of the production expenses for ring-spun yarn being linked to raw cotton costs (Oner et al, 2019), incorporating recycled cotton in yarn production can proportionally decrease the cost of raw materials.…”

Section: A Sustainable and Greener Approachmentioning

confidence: 99%

A greener approach to transform consumer-waste recycled fibers into grindle yarn employing 2-ply compact-Siro spinning

Uddin,

Rahaman

2024

Preprint

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The worldwide manufacturing industries are actively adopting greener and eco-friendly production approaches, aligning with the Sustainable Development Goals (SDGs) and particularly focusing on Goal 12. This objective strives for responsible material management, with a strong emphasis on significantly decreasing waste generation through preventive measures, recycling, and reusing resources. This research introduces a sustainable method for manufacturing Siro grindle yarn, which involves maximizing the utilization of recycled cotton fibers sourced from pre-consumer fabric waste. The process involved the preparation of two rovings, one colored (red) and the other white, incorporating varying percentages of recycled cotton fibers along with virgin cotton. To achieve a vibrant grindle effect in the yarn, a newly designed 2-ply compact-Siro spinning technique was employed. This technique involves separately compacting two drafted fiber strands before uniting them through twisting. As a point of comparison, Siro grindle yarn was also manufactured in a conventional ring frame. Through skillful engineering, grindle yarns with a count of 20 Ne containing up to 50% recycled fiber were successfully manufactured. The yarns produced using the compact-Siro spinning technique exhibited notable enhancements in both structure (reduced hairiness, unevenness, and imperfections) and properties (increased strength and elongation). These grindle yarns demonstrated suitability for producing knit fabrics with aesthetics comparable to commercial grindle fabrics made entirely with virgin fibers.

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“…Managing SCs in a sustainable manner will lead to the attainment of the current sustainable development goals. The manufacturing sector and its suppliers are the highest contributors to environmental degradation (Mungai and Ndiritu, 2023). Prior research suggests SSCM as a key to this problem which can integrate social, environmental and economic objectives via a systematic coordination of critical business processes to attain the economic goals and SC (Carter and Rogers, 2008).…”

Section: Theoretical Foundationmentioning

confidence: 99%

Framework to evaluate sustainable supply chain intensity index in MSMEs using analytic network process and fuzzy logic

Panigrahi

Bahinipati

Sarmah

2023

MEQ

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PurposeThe Indian micro small and medium scale enterprises (MSMEs) are potential suppliers to the original equipment manufacturers (OEM). The implementation of sustainable supply chain practices (SSCPs) enhances the chances of developing a long-term partnership with these OEMs.Design/methodology/approachA hybrid framework of analytical network process (ANP) and fuzzy logic (FL) is developed for implementing SSCPs in Indian MSMEs. This model has been validated through a case study.FindingsThe study has identified several critical success factors (CSFs) for the implementation of SSCPs in MSMEs. This study has observed that Government regulation is the most important CSF for the implementation of SSCP in Indian MSMEs followed by management support and policy framework.Originality/valueThe article presents a mechanism, i.e. an adaptability test that enables the OEM decision-makers to assess the suitability of an MSME for a long-term partnership.

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Peeling the Onion! What are the drivers and barriers of cleaner production? A case of the Kenyan manufacturing SMEs

Cited by 14 publications

References 53 publications

Sustainable and cleaner production of elastic core-spun yarns for stretch denim with maximal utilization of recycled cotton extracted from pre-consumer fabric waste

Sustainable and cleaner production of elastic core-spun yarns for stretch denim with maximal utilization of recycled cotton extracted from pre-consumer fabric waste

A greener approach to transform consumer-waste recycled fibers into grindle yarn employing 2-ply compact-Siro spinning

Framework to evaluate sustainable supply chain intensity index in MSMEs using analytic network process and fuzzy logic

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