Life Cycle Assessment in Sustainable Manufacturing: A Review and Further Direction

Ranjan, Prince; Agrawal, Rajeev; Jain, Jinesh Kumar

doi:10.1007/978-981-15-6017-0_12

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…He found that results for the aluminum canaries directly depend on the used process and other factors like the recycling rate and amount of recycled materials. A review is conducted (Ranjan, 2021) to identify the issues commenced due to early acceptance and work helping industry people precisely use sustainable manufacturing methods. He also analyzed needle roller bearing (Prince Ranjan, 2019) to demonstrate the outcomes in the machine component industry from the cradle-to-grave analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of environmental potentials on supply chain of textile and yarn industry using smart and sustainable life cycle assessment

Jain

Jain²,

Agrawal³

et al. 2022

MEQ

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PurposeEnvironmental impact and changes are becoming essential in textile and yarn industries, where reliable measurement of parameters related to processing harmful substances needs to be examined. Such findings can be cumulated using smart assessment like life cycle analysis. The ecological impact category, supply chain, and climate-changing factors were considered for the necessary assessment.Design/methodology/approachThis paper applies the Life Cycle Assessment technique in the textile and yarn industry to estimate critical environmental potentials. The critical input for the fabric and yarn industry was put in the GaBi software model to estimate various environmental potentials.FindingsGlobal warming potential, electricity, and raw cotton consumption in the fabric and yarn industry were critical concerns where attention should be focused on minimizing environmental potentials from cradle to gate assessment.Research limitations/implicationsThis qualitative study is made via the industry case-wise inputs and outputs, which can vary with demographic conditions. Some machine and human constraints have not been implemented in modelling life cycle model for smart simulation. Smart simulation helps in linking different parameters and simulates their combined effects on the product life cycle.Practical implicationsThis modelling approach will help access pollution constituents in different supply chain production processes and optimize them simultaneously.Originality/valueThe raw data used in this analysis are collected from an Indian small scale textile industry. In the textile fabrication industry, earlier assessments were carried out in cotton generation, impact of PET, cradle to grave assessment of textile products and garment processing only. In this research the smart model is drawn to consider each input parameter of yarn and textile fabric to determine the criticality of each input in this assessment. This article mainly talks about life cycle and circular supply assessment applied to first time for both cotton to yarn processing and yarn to fabric industry for necessary estimation of environment potentials.

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Section: Literature Reviewmentioning

confidence: 99%