Impact of IT & data analytics on cleaner manufacturing in Asia

Cleaner output is probably the most critical ways for manufacturing enterprises to achieve sustainable production and improve their competitive advantage. Nevertheless, the CP approach faced obstacles, like the absence of valuable knowledge and complete data, which may be used to offer much better guidance on decision-making of optimization and coordination on the item life-cycle management and the entire CP procedure. Thankfully, with the broad use of smart sensing units in PLM, a huge amount of multi-source and real-time life-cycle big data may today be collected. In order to create much better CP and PLM choices based on these data, in this particular study, a general design of BDA based analytics for item life cycle was suggested. It integrated BDA driven patterns, which helped overcome the above-mentioned barriers. Placed under the architecture, the accessibility of information, as well as understanding relevant to the item, were attained. Concentrating on the manufacturing and maintenance process of the item life cycle, and the primary key technologies have been developed to implement the BDA. An application scenario evidenced the presented architecture, and several observations as well as ?ndings have been mentioned in detail. The results demonstrated that the proposed structure bene?ted clients, manufacturers, planets, as well as all phases of PLM, and efficiently campaigned for the implementation of CP. Additionally, the managerial implications of the proposed structure for 4 departments have been examined and discussed. The new CP approach offered practical and theoretical grounds for the sustainable development of manufacturing companies.