The conceptual framework of IoT based decision support system for life cycle management

Autor: A.K. Kulatunga, S. Kamalakkannan, L.A.D.A.D. Bandara
Rok vydání: 2020
Předmět:
Zdroj: Procedia Manufacturing. 43:423-430
ISSN: 2351-9789
Popis: Since the impact of manufacturing industries towards the global environmental issues such as climate change is significant, it is required to adhere to stringent environmental performance measures to survive from different pressure groups in the global markets. To improve the environmental performances of the manufacturing sector, it is essential to consider the entire life cycle of products to identify environmental hotspots mitigated through Life Cycle Management(LCM) by subsequent product designs as eco-design. It is required to have adequate and timely information about the entire product life cycle of the product and processes it manufacture and typically it is a time-consuming and costly operation. This issue can be eased some extent through the Internet of Things (IoT) which is tracking data real time. To manage a product life cycle, it is required to evaluate many alternatives scenarios which is impossible to carry out manually. Therefore, this study develops an IoT base Decision Support tool for LCM.
Databáze: OpenAIRE