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: |
0209 industrial biotechnology
Decision support system business.industry Computer science 02 engineering and technology Industrial and Manufacturing Engineering 020303 mechanical engineering & transports 020901 industrial engineering & automation Product lifecycle 0203 mechanical engineering Risk analysis (engineering) Product life-cycle management Artificial Intelligence Manufacturing Entire life cycle The Conceptual Framework Product (category theory) Internet of Things business |
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 |
Externí odkaz: |