Data can predict operational performance, fluctuations in supply

Data

Data are the livelihood of a smart factory. With the
computation power of computers, data can be analysed and provides feedback to
the system, since it is a closed loop control. With these data one can predict
operational performance, fluctuations in supply chain, and abnormalities in a
system; and can rectify it as soon as possible before any major breakdown occurs.
Data can exist in many form not just operational data of machines but also data
from the environment such as dust particles, humidity, emissions, temperature
and etc. How data are combined and processed varies from factories to
factories. For example in a quality department must consider the data from dust
particles before taking measurement but other department need not necessary
takes these information. 

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For a factory to be smart, companies should constantly
collect large amount of data and validate it. Once a smart factory reached a
certain position in terms of standards, the data generation is also increased
over time. For example companies must upgrade their data storage. Data storage might
be represented in form of

1.       
Digital
twin

2.       
Digital
shadow.

Digital twin servers as a life line between the physical and
digital world. First smart sensors gather information about real-time status,
working condition, or layout which is integrated with a physical machine. Data
from various equipments are connected to a storage device such as cloud-based
system. This input is analyzed against business models. With the available
information new opportunities are uncovered within the virtual environment that
can be applied to the real world, ultimately transforming your business.

Digital shadow
refers to a set of unique traceable digital activities, operations that are
performed using Internet or on digital devices. Digital data can also be stored
in many ways depending on the company’s investment. Since it is a smart factory;
one should storage data as online, it records everything right from time
stamping, ordering of products, workers time stamping works , etc, using these
methods everything can be traced backed who did what, so there will be hassle
free backtracking the sources of error.