Page 26 - MMI _ MayJune2021 (single-pages)

Source: Cartel Engineers Pvt Ltd

A more digitize relevant data locally • Stage 4: Identify and auto- a few days to a few months
stable, or remotely; mate routine tasks; based on the end application
reliable • Stage 2: Pre-process the data and environment. A more
IIoT infra- and establish a data visual- • Stage 5: Advanced analytics stable, reliable IIoT infrastruc-
structure ization, reporting and alert- for abnormality detection on ture leads to the gathering of
leads to the ing system that is accessible real-time or historical data for good quality data which, in
gathering securely from anywhere; prediction and forecasting. turn, facilitates quicker infor-
of good • Stage 3: Remotely perform mation extraction. Since the
quality basic machinery or equip- • Stage 6: Adaptive, autono- process of setting up and gath-
data which, ment operations or set oper- mous control and operations ering appropriate data is iter-
in turn, ating points in process con- of complete machines and ative, it is better to start ear-
facilitates trol equipment; production cycles. ly. The more it is delayed, the
quicker more time it takes to start see-
information Note that the time taken for ing benefits or staying compet-
extraction. each stage could vary from itive in an increasingly disrup-
tive environment.
Source: yzThings Technologies Pvt Ltd With a supportive eco-system,
an educated and motivated
workforce and, more impor-
tantly, the fact that majority
of the beneficiaries reside in
this part of the world, it is only
natural that the next industrial
revolution will be led by India
and China.
As new technologies are being
made available, MSMEs should
come forward to adopt them and
stay competitive in the global
manufacturing landscape.

The author thanks Cartel Engineers Pvt Ltd for facilitating the case study.

26 | May-June 2021 Modern Manufacturing India