{"title":"The impact of Industry 4.0 on sustainability and the circular economy reporting requirements","authors":"S. Takhar, Kapila Liyanage","doi":"10.1504/ijism.2020.10030046","DOIUrl":null,"url":null,"abstract":"The traditional linear economic system focuses on the mass production of products, using available resources, at the lowest possible cost. Sustainability recognises the impact of dwindling natural resources, as a result of mass production and directs us towards the use of more sustainable resources. The circular economy (CE) proposes the adoption of an open loop manufacturing system where products are designed using resources which enable products to be repaired, reused, repurposed and recycled. To analyse the impacts of sustainability and CE initiatives, accurate data needs to be collected. Industry 4.0 promotes interconnectivity, enabling real-time data collection, communication and data analytics. This paper contributes to existing literature by identifying a research gap on how sustainability and CE model data reporting needs may be met using Industry 4.0 technologies. Using a literature review and survey on real-world adoption, a set of reporting requirements for sustainability and CE models are identified. The conclusions provide an assessment of how Industry 4.0 may aid reporting needs.","PeriodicalId":35507,"journal":{"name":"International Journal of Integrated Supply Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Integrated Supply Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijism.2020.10030046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 8
Abstract
The traditional linear economic system focuses on the mass production of products, using available resources, at the lowest possible cost. Sustainability recognises the impact of dwindling natural resources, as a result of mass production and directs us towards the use of more sustainable resources. The circular economy (CE) proposes the adoption of an open loop manufacturing system where products are designed using resources which enable products to be repaired, reused, repurposed and recycled. To analyse the impacts of sustainability and CE initiatives, accurate data needs to be collected. Industry 4.0 promotes interconnectivity, enabling real-time data collection, communication and data analytics. This paper contributes to existing literature by identifying a research gap on how sustainability and CE model data reporting needs may be met using Industry 4.0 technologies. Using a literature review and survey on real-world adoption, a set of reporting requirements for sustainability and CE models are identified. The conclusions provide an assessment of how Industry 4.0 may aid reporting needs.
期刊介绍：
IJISM''s thematic focus is on research that investigates and improves integration along supply chains. IJISM seeks high-impact scholarly analytical and empirical research in integrated supply management from academics and professionals. It is discipline-agnostic. Supply chain integration can be a complex and challenging imperative involving industry 4.0 ecosystems, alignment of supply markets and consumers, associated organisational changes, and the creation and management of integrative relationships in the supply chain. Substantive research that addresses such issues is solicited. Topics covered include: -Industry 4.0 and smart manufacturing/service eco-systems including blockchains, robotics, wearables, sensors, AI, data mining, additive technologies, etc. in integrated supply chains -Global integrated supply chain design -Purchasing and supplier coordination and relationships -New modelling, optimisation and empirical methodologies in integrated supply chain design and management -Risk management and resilience -Sustainable operations and sharing and circular economies -Lean supply managenent -Quality management in supply chains -Transportation and logistics -Customer relationship, service response, demand management in supply chains -E-commerce supply management -Performance measurement in supply chains
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