Defence Equipment Market & Manufacturing in India 2017

whitePaper | October 1, 2022

Smart Industry and Industry 4.0 mark the era in which industries are constantly shifting towards the latest technologies. Companies now need to focus on their digital transformation to stand out from their competitors. By equipping machines with sensors, software and other smart devices and connecting them to the internet we are able to monitor and manage them from a distance.

whitePaper | April 26, 2022

Perhaps the most visible aspect of Industry 4.0 is the concept of the ‘smart factory’, a term that typically conjures up images of automated factories leveraging AI, big data and robotics to make manufacturing more efficient, innovative and … well, smarter. That’s a simple take on what in reality will be a complex undertaking that will be an evolutionary journey that manufacturers will take over the next decade or so. Consequently, it’s helpful to approach the smart factory concept in terms of what parts of the existing manufacturing process you want to make smarter, and the foundational technologies that will help you achieve that.

whitePaper | January 13, 2020

Emerging technologies, such as advanced analytics and artificial intelligence, are transforming the world of production and creating new opportunities for industry, society and the environment. Data is critical, as is companies ability to manage it effectively. While manufacturers are making strides in this area, most focus on data within their companies and have difficulty maximizing their return on investment and driving innovation at scale.

whitePaper | November 12, 2019

Today’s economies are changing dramatically, driven by developing and emerging markets, innovative products and business models, and the accelerated rise of advanced technologies, such as machine learning and artificial intelligence. Globally, the automotive and manufacturing segments have seen record-setting profits over the past decade-and also transformative change.

whitePaper | June 22, 2022

The constant buzz around digital transformation and Industry 4.0 is reaching a fever pitch. With it comes the growing assumption that asset-intensive organizations understand it, want it, and its success is assured. The reality, however, is more nuanced.

whitePaper | September 4, 2022

It’s the clarion call of today’s marketplace and the prime directive for executives in any business that designs or produces physical goods, no matter how simple or sophisticated. Fortunately, every product can be improved and made at less cost. But how quickly a company can satisfy such demands – before, say, its competitors do, or the market moves on to something new – is largely a function of the product-development cycle. Shorten that cycle, and you can improve the numbers across the board, from customer satisfaction to market share to profitability. However, one seemingly intractable barrier to faster product development lies within the traditional design process. That process starts with identifying a need in the market or within one’s organization; it ends with the manufacture of a finished product, whether a massive, complex assembly or one tiny part. In between are multiple iterations of designs and tests: engineers sketch out a solution, prototype and test it (or run a computerized simulation), and then go back to the design to address any shortcomings. But trade-offs complicate matters each time the cycle repeats: make a part lighter and it’s likely to become weaker, make it stronger and it will probably cost more, and so on. A workable, if not optimal, solution can usually be found. However, finding it often takes longer than the product-development timeline or budget will allow.