Welcome to the world of Infosys Engineering! It is a half a billion plus organization that takes pride in shaping our engineering aspirations and dreams and bringing them to fruition. We provide engineering services and solutions across the lifecycle of our clients’ offerings, ranging from product ideation to realization and sustenance, that caters to a cross-section of industries - aerospace, automotive, medical devices, retail, telecommunications, hi tech, financial services, energy and utilities just to name a few major ones.


September 7, 2018

Address condition monitoring and predictive maintenance challenges in the Aerospace Industry with Krti 4.0

Let's begin this blog post with a story. A man wanted to learn how to swim. He began by speaking to a few people about it and reading a few books on swimming techniques before heading to the lake. But, there began his problem: While he practiced the motions and went through every movement and stroke he had read about and discussed, he was still unable to keep his body afloat. Frustrated, he looked around and saw a person enjoying a leisurely swim in the middle of the lake. He waited for the swimmer to come ashore and asked if he could teach him how to swim. Soon, with a few lessons, the man was swimming by himself in the lake.


The message of the story is: It is easier to learn from a practitioner than a theoretician. This approach applies to almost every scenario that requires individual knowledge coupled with the guidance of someone who has traversed the path to successfully accomplish something. Now, swimming may be a simple skill to learn and, in the story, the investments needed were time and money spent on a few interactions and purchasing the right books. But what if an enterprise wanted to enhance its operational efficiency at an organization level? Here, the investments would be much higher and the ROI would need to be well-defined.


Take the example of aerospace and defense, a technology and investment-intensive industry burdened by strict safety and regulatory requirements. This industry needs stringent quality and production measures for consistency, reliability and high performance. The success drivers for organizations in this industry are high product quality and operational efficiency. From a theoretical point of view, the following levers can help organizations achieve manufacturing and operational efficiencies:


  • Intelligent management of critical shop-floor assets such as time-sensitive raw-materials, kits, molds, tools, and the workforce
  • Sophisticated algorithms powered by AI and data analytics that suggest next steps by sending out context-aware alerts and recommendations


Much like the earlier story about swimming, these levers look great on paper. But, without alignment with a practitioner's perspective, these may be insufficient to achieve the desired goals. So, how does one find the practitioner's view? This is possible by accessing processes and frameworks developed by organizations that have already deployed reliable systems with assured performance along with data prediction and connectivity between assets to collect data. In fact, I think that could actually mean the difference between the success and failure of any transformation program.


Condition monitoring and predictive maintenance - A practitioner's view


KRTI 4.0 is an AI-based operational efficiency framework developed by Infosys and Pöyry by leveraging decades of industry experience working with global organizations. This framework enables aerospace OEMs and Tier 1 suppliers to deploy a system that significantly enhances the reliability of operations and maintenance on the manufacturing shop floor. The KRTI 4.0 framework is unique because it leverages the different expertise areas and key operational experience of Infosys and Pöyry to provide a practitioner's view:


  • Pöyry specializes in reliability, availability, maintainability, and safety (RAMS) modeling and engineering design for different industrial processes. Its dynamic RAMS models are based on effective use of Industry 4.0 technology and backed by intense field knowledge of asset behavior
  • Infosys leverages its rich engineering experience gained by working with different aerospace OEMs as well as its knowledge of manufacturing practices to create knowledge, operational and maintenance models coupled with data analytics and AI-based resolutions. These models form the backbone of the KRTI 4.0 framework, providing condition-based and predictive maintenance at the shop floor level rather than at an individual system level.


As a framework, KRTI 4.0 differentiates itself from other condition monitoring and predictive maintenance solutions by offering a comprehensive shop floor-centric view based on reliability rather focusing on asset availability. This unique capability enables OEMs to schedule maintenance, resources and inventory based on reliability assessments. Moreover, decision makers gain a 360-degree view of risks associated with anomalies in terms of business, human and environmental safety.


Connect with us to get real-world guidance on how to improve the operational efficiency of your organization. 

May 11, 2018

Hannover Messe 2018: Observations, Thoughts, and Learnings


Co-author: Ramchandra Kulkarni - AVP, Head of Engineering Services, Europe

Hannover Messe Industries (HMI) is the world's leading trade show for industrial technology. And we were glad to be there. The recently concluded event displayed an undeniable emphasis on the convergence of IT, complex mechanically engineered systems, industrial IoT platforms, and new business models. Despite an overwhelming bias favoring open collaborative systems large technology providers continued to push single technology integrated solutions. We wondered if this would cause monolithic systems to re-emerge and whether security challenges would stymie open collaboration. We came away with a perspective informed by our conversations with decision-makers and influencers, thankfully, in favor of open systems.

Solutions were the trend at the show. Though most exhibits were only technology and concept demonstrators they attempted significant integrations across the value chain. Most provided clear evidence of collaboration between technology OEMs, domain experts, and system integration partners. The emphasis was clearly on digitization which was showcased using themes that involved integration, connectivity, and collaboration. We saw exhibits that dealt with Industrial Automation, Digital Factory, Platforms and Integrated Energy Systems. Unsurprisingly, servo and autonomous drive technologies emerged as key drivers of digitized and integrated manufacturing. Smart energy systems focused on energy efficiency were also on display. An exhibit that truly impressed us was one involving a robot that worked in conjunction with a couple of 2D cameras connected to a CAD data system. Though simple in appearance this system proved the concept that digital (CAD) data could be used in real-time to direct a robotic system to retrieve physical objects recognized on the basis of their digital CAD geometry. Similarly, we saw the use of additive manufacturing to repair a large industrial die driven completely by information from the die's digital CAD data. These exhibits were fully integrated, connected, and showcased collaboration of cyber-physical systems in achieving non-trivial manufacturing results. We call these 'Hello World' applications of digital concepts - applications that bring to life, with simplicity and clarity, a complete digital interaction.

The exhibits at HMI 2018 displayed an urgency with regards to digital transformation that begun tentatively but promises to accelerate rapidly. And though this transformation cuts to the heart of how products are conceptualized, engineered, manufactured, sold, and maintained - the accelerated nature of this transformation will present bountiful opportunities only to those who are "ready" to participate. The solutions on display underscored the realization that technology is not an end, but a means to an end; it is an enabler. When used to integrate, connect, and collaborate, technology has the potential to help unlock value.

Attending HMI gave us a few interesting ideas on how we should present ourselves at future events. One is that we should bring together various horizontal service lines to develop complete and compelling digital threads. These threads would provide evidence of integrating processes involving product selection, definition, engineering, manufacturing, after-market operations, and maintenance. Such a thread will involve multiple technologies and thus multiple service lines. These jointly developed concepts can be the start of a 'go-to-market' strategy developed in collaboration with service lines, and such internal collaboration will drive success. Some themes around which these collaborations could be imagined are:

  • Solutions that address challenges of the installed base of a particular industry: The business objective here is to extend the life of past investments; also known as brownfield.
  • Solutions that demonstrate connectivity, collaboration, and integration of open technologies: Bringing together next generation user interfaces coupled with engineering and business analytics based on AI, ML and augmented by RPA can be powerful demonstrations of problem solving and our systems integration prowess.
  • Solutions that are built in a consortium approach: Next generation solutions that have business merit will be mostly built in partnership with technology partners, consulting partners, and domain experts. Exhibits that showcase partnerships demonstrate our ability to think laterally and work collaboratively. Tangible evidence to potential buyers of our evolving maturity from a pure play service integrator to a true partner.
  • Solutions built in participation with students from partner institutes: This has far reaching optical and soft implications. It showcases our investment in reskilling the work force of tomorrow. When done in geographies like the Americas and Europe we can expect a multitude of returns in the future.
  • Solutions that demonstrate new development paradigms: We must exhibit the end result of our approach to unpacking and solving problems. Each exhibit should include the outcomes of Design Thinking, the elements targeted and managed in discovery and developed in sprint, and a hierarchical view of architectural constructs like cloud, micro-services, industrial platforms, and enterprise systems. At a trade show, this demonstrates competencies at play.

We look forward to the next Hannover Messe in 2019, where we can truly showcase our brand proposition, 'Navigate Your Next' for industrial manufacturing.

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