Digital Twin and IIoT in Optimizing Manufacturing Process and Quality Management
PiP , even of the product type , may take a specific and unique path in the equipment matrix during its lifecycle of production .
In order to achieve the design goal of the application , it is required keeping track not just the path of the PiP in its lifecycle of production , but also its own set of actual process data when it is being processed by each piece of equipment and its characteristics ( such as its temperature ) in the staging area between equipment .
Fig . 3-4 : A equipment and workflow process in special alloy steelmaking plant . 3.3 The System Design Requirements
The Lean management and Six Sigma-oriented customer requirement evaluation presents a few key requirements on the system design :
• The need to realize full lifecycle tracking of product in production ( PiP ), including its movement in the production processes , its dynamic association with production equipment during the time when it is being processed and the corresponding actual process data , and for some situation , its conditions ( e . g ., temperature ) during transitional staging periods .
• The need to align each piece of PiP ’ s actual process data with its corresponding process specification parameters to ensure the actual process data are within the required design range ;
• The need to automatically detect and provide alert on process exceptions and product anomalies , and in some cases to provide automatic or semi-automatic root cause analysis for the detected exceptions and anomalies .
• The need to connect to work order system to obtain work dispatch information ; the need to connect to production process specification management system to obtain process
IIC Journal of Innovation - 71 -