  To stay competitive, the Low- or Middle-Income Countries (LMICs) need to
embrace Industry 4.0 and Logistics 4.0. This requires government-level
interventions and policy-making to incentivize quality product solutions and
drive innovation in traditionally resistant economic sectors. In this position
paper, we support the establishment of Smart Industrial Parks (SIPs) with a
focus on enhancing operational efficiencies and bringing together MSMEs and
startups targeting niche clientele with innovative Industry 4.0 solutions. SIPs
along with the phased deployment of well-planned robotic automation
technologies shall enable bringing down India's untenable logistics costs.
Toward the successful execution of SIPs, we are required to implement the
efficient allocation of manufacturing resources and capabilities within SIPs.
Thus, we emphasize the importance of efficient resource utilization,
collaboration, and technology adoption in industrial parks to promote
industrial development and economic growth. We advocate the use of a
cloud-based cyber-physical system for real-time data access and analysis in
SIPs. Such centralized cloud-based monitoring of factory floors, warehouses,
and industrial units using IoT infrastructure shall improve decision-making,
efficiency, and safety. Digital Twins (DTs), which are cyber-replicas of
physical systems, could play a significant role in enabling simulation,
optimization, and real-time monitoring of smart manufacturing and distributed
manufacturing systems. However, there are several challenges involved in
implementing DTs in distributed manufacturing systems, such as defining data
schemas and collaboration protocols, ensuring interoperability, the need for
effective authentication technology, distributed machine learning models, and
scalability to manage multiple DTs.
