Overview: Undoubtedly the intention behind Mr. Modi Flagship program “Make in India” launched in 2014 was a progressive step towards placing India as hub of manufacturing in world. India’s Demographic advantage versus increased labor cost in China has presented us with a golden opportunity to showcase our strength in manufacturing sector also. However, If we dig further into the roadmap of this initiative there are certain key areas where Government attention need to be diverted aggressively. Digital transformation of manufacturing unit is one of the most important aspect of it.

Digital Transformation: In the pursuit of achieving operational excellence, The decision makers of manufacturing companies must have real time information of their asset and process. Manufacturing unit are flooding existing system with plethora of data and the process of converting this data into useful information through cutting edge digital technology is the most fundamental aspect of digital transformation .In 2012 General Electrical introduced the Industrial IoT (IIoT). IIoT applies IoT to manufacturing by incorporating machine learning and big data, harnessing sensor data and automation.

Features of Digital Transformation: The Indian Institute of Science (IISc) is building India’s first smart factory in Bengaluru with a seed funding from the Boeing Company. Bosch, a German auto component manufacturer will begin implementation of smart manufacturing at its 15 centers in India by 2018. Digital literacy of India has shown significant pace in last decade. However, It is important to understand the thesis of Digital transformation in manufacturing.

  • Integration Between Data and Process- The most crucial aspect of digitalizing any unit is to define the complex process of machines through simple algorithms. The algorithms which not only explains the basis of process but equipped decision makers to apply cutting edge technologies like predictive analysis and digital twinning to improve the overall efficiency of process.
  • Interoperability- Interoperability and the IoT are obvious enablers for data collection and its better use by manufacturers. Many are investing heavily in tools for leveraging and analyzing this newfound asset. At the core of interoperability is the ability for users to access information from multiple sources in one seamless application.
  • Faster time- to-value : – The term coined by General electric endorses digital transformation by defining a standardized way to connect machines, data, and people with a consistent interface for superior user experience, dynamic scalability, and extendibility to grow functionality as business needs evolve.Proposed Framework for Smart manufacturing Unit
    Researchers and industry leaders around the world have been trying to integrate Cloud technology with manufacturing field. The impact is visible in additive manufacturing level but not so on subtractive manufacturing. In manufacturing field, different organization use different software for their work. In order to sort this issue a generic Cloud based system approach can be understood from the below framework. The resistance towards new technology is eventuality and it is important for thought leaders in this industry to penetrate this education through simple but effective frameworks.

Recommendations
CIOs of Manufacturing industries that are building and expanding a digital business should:

  • Explain the level of urgency for a better business model by identifying agents for change such as smaller returns on productivity investments, growth targets that exceed current product capabilities and industry disruption.
  • Use business models to build a holistic picture of the elements needed for digital business transformation. Work with key allies in the business, such as the head of corporate strategy, operation manager or a digitally savvy business unit leader, to brainstorm and build leadership momentum for change.
  • Create a progressive path to digital business by identifying and implementing new digital capabilities that deliver optimization now but also enable digital business transformation in the future.
  • Reduce the risk of digital business transformation by using business models to develop options, plan pilot projects, Audit results and scale accordingly.

Conclusion and Future Direction : Smart Manufacturing is in its early stage of development. Even though good amount of research and development has been going on; its principle focus remained to additive manufacturing sector and seldom in other sectors like subtractive manufacturing. Also amount of research work happening in India in this area is far lesser as compared to other countries like China or USA. Hence its widespread application is not made available yet.
Since in Cloud technology everything is treated as a service, even small manufactures or those who want to focus on core work only can use it by taking Cloud or Infrastructure as a service from third party service providers. The system architecture proposed here is generic in nature and can customize or modify.
There is tremendous future scope is available in this field, many of the Smart Manufacturing platforms developed are still in embryonic stages. With using IoT technologies, framework proposed for Cloud based manufacturing system can be further improved. One may integrate new technologies like IoT along with prescriptive analytics to make it more automated. Its future variations and possible applications are huge.
Industry 4.0 by Germany, Factories of Future (FoF) by European Commission, Future of
Manufacturing by UK, and Made-in-China 2025. These initiatives by different country have already embraced digitalization as its core principle. Now, This is our responsibility to pace up “Make in India” campaign by aligning its element with next generation of digital technologies.