Aerospace & Aviation
The aerospace industry is changing, and that’s a good thing if you are the one driving the change. Aerospace OEMs have always been seeking new ways to serve the marketplace, including changing their fundamental business models from products to service-oriented plays to reduce margins and increase revenues. Like many other similar industries, they are doing their best to remain competitive in this rapidly evolving world. Those new business models are changing how Aerospace thinks about and uses data. The new and largely unexploited assets that OEMs have been previously manufacturing, now have the ability to harness and optimize the sensor data emerging from their equipment. Today’s aircraft are highly instrumented and the average flight can produce between 500 and 1,000 gigabytes of data, not to mention all the business and operations data outside of the mechanical equipment. This is ‘big data’ in its truest form and will is the next frontier for aerospace. Now that it is available, the next step is to extract as much commercial value and advantage from it as we can to improve operations, equipment performance and customer satisfaction. This growing situation creates the need for advanced analytics to assist the next generation of pilots, mechanics, manufacturers, dispatch managers, flight attendants and other participants to quickly deliver the knowledge and recommended solutions.
Original Equipment Manufacturer (OEM)
Introduction to OEM
Aerospace manufacturers are seeing that big data not only provides the opportunity to ‘own’ the asset and differentiate themselves from competitors, but leveraging the insight from data and a analytics framework allows them to improve their products expediently. This is important as new entrants threaten the traditional duopoly of the OEM market. The insight-driven aerospace organization can outperform on time to market, quality, revenue and cost, while delivering superior value from their products and services for their customers. Equipment life can be extended, replacements reduced and operational efficiencies can be realized. Additionally, there are major opportunities to improve performance, reliability and safety that haven’t been explored yet. Here are just a few of the things our skills can help your business change using big data analytics within the aerospace ecosystem:
Run-to-fail is not a strategy embraced by the aerospace manufacturing industry or its regulators. The constant changes caused by changing market demands create new challenges in optimizing the production environment and developing innovative products. Today’s manufacturing systems offer considerable amount of operational data, which when analyzed properly can provide valuable insights into the health of production assets. Limited analytical experience hinders production staff to analyze the data in real time and act to improve uptime and reduce operations and maintenance costs. Cyient Insights team, by leveraging predictive analytics, can enable better decision making to increase asset reliability to meet ever increasing and dynamic market demands. Modeling tools produce static thresholds based on design or expected levels, and predictive analytics produce a data model that dynamically changes in response to evolving asset conditions. Due to these differences, they can be highly complementary tools for maintaining asset reliability across you manufacturing operations.
Supply Chain Management
When it comes to procurement, manufacturing, assembly, inventory and distribution, it is all about data. Whether you need to identify quality issues in sub-components, optimize spare part inventories, ramp-up production to meet future demand or make decisions on production planning and line balancing, all of it can be based on real-time data updates bringing insight to the decision making process Click here to see a few other ideas we have thought about. Learn More
It is the golden age of services, and to survive and prosper every company must transform itself into a services business. Most of the manufacturing industries have sold so many units over the years that their aftermarkets have become four to five times larger than the original equipment businesses. Traditionally, the aftermarket has been a reactive practice of fulfilling parts or dispatching service after the customer calls in an order or comes in for a repair. Big data analytics has started the evolutionary transition from reactive oriented to proactive service-oriented business model; enabling aftermarket teams to proactively position parts and service by anticipating customer needs just in time. Ideally, the OEM’s service team should know when a service event will happen prior to the operator and ultimately will be able to prepare for mitigating the impact before an event even happens. Innovation and invention here becomes essential: more information services that the aftermarket organization can deliver, more opportunity there is for building and bundling sustainable revenue and competitive advantage. But you can’t do that unless you are effectively using 100% of the data you are collecting. Cyient Insights’ advanced analytics enable:
Introduction to Airline Operators
Today’s commercial airlines seek solutions to drive more efficient and predictable operations. In a world where fuel and labor costs continue to rise, weather events increasingly drive network disruptions, and maintenance complexity is growing exponentially. Airlines seeking competitive advantages must:
Here are just a few of the things our skill set bring to the table when it comes to the aerospace industry.
- Maintenance, Repair & Operation
- Asset Management
- Fleet Operations Management
- Pilot / Crew / Support Staff
Maintenance, Repair & Operation
With a full view of the state of every part on the aircraft, your maintenance crews can monitor alarms, get proactive alerts and would have access to predictive models that would enable them to have the right skill, the right part and the right capacity at the right time and place to service the aircraft. By being able to more aptly forecast for resources and inventories, you can significantly improve uptime and mitigate unscheduled maintenance, making yours assets and people more efficient and more profitable.
Big data analytics is changing our paradigm and the way we manage fleets and the assets important and critical to business success. Today it is difficult for asset managers to know the exact status of a given asset at a specific time. Integrated data from different sources consolidates end-to-end visibility of assets and lets you know how they are performing along with their inter-relationships that can be optimized to better manage your aircraft and fleets.
Fleet Operations Management
Forecasting flight demand, overcoming weather related delays, getting to flight quicker and reducing passenger waiting – thereby improving overally customer loyalty – are all important aspects of flight operations. Advanced analtyics is the enabler for flight operation teams to optimize flight revenue and maximizing performance from the entire fleet by analysing historic usage and predicting future demand.
Pilot / Crew / Support Staff
Aside from being able to taut your improvements in fuel efficiency and emissions, advanced analytics is all about putting intelligence, confidence and trust in the hand of your employees. When they have information to make great decisions for the company and your customers, not only do you have a more productive work place, you have employees that smile and are passionate about what they do. We help you maintain your competitive edge by empowering your employees with right information at the right time.