our SOLUTIONs
TCS Autoscape™ - Autonomous Vehicle Solutions
End-to-end engineering services for faster autonomous vehicle development
Industry
- Manufacturing
Manufacturing
Highlights
- To deliver differentiated value and build loyalty of their customers, original equipment manufacturers (OEMs) are innovating across the value chain and ecosystems to offer outcome-based, pay-as-you-use services, which requires tighter collaboration across functions.
- Continuous, two-way digital thread and data science capabilities can enable faster adoption of new-age services while lowering costs for manufacturers.
- Through numerous case studies, this white paper explores how digital thread, in particular, can help OEMs deliver peak service outcomes to their customers.
In this article
In this article
Abstract
Globally, original equipment manufacturers (OEMs) are vying for competitive advantage, differentiated value, and customer loyalty.
Having customers define products or services as imperative is the ultimate goal and accolade. This road to producing an imperative product or service requires a commitment to excellence and an innovative mindset in product design, manufacturing, and optimized service delivery across the ecosystem. Outcome-based services and the shift from ownership to usage require realignment and tighter collaboration across the engineering, manufacturing, procurement, and service functions of all ecosystem partners. The design anywhere, buy anywhere, build anywhere, sell anywhere, and service anywhere model of OEMs to drive down costs and access markets can build stickiness with innovative services that leverage data science. Early adopters and industry leaders have proven that solutions rooted in advanced data science deliver higher value. OEMs will need to be agile and quick to innovate to thrive over the next few years. Through numerous case studies, this paper demonstrates how digital thread plays a crucial role in helping OEMs achieve service innovation for the best outcome and maximum asset uptime and readiness.
Weaving innovation in manufacturing
Typically, in manufacturing, information is managed in silos across multiple enterprise-wide systems such as product life cycle management (PLM), enterprise resource planning (ERP), supply chain management (SCM), and customer relationship management (CRM).
Field service, technical publications, connected product usage, service parts planning, and warranty administration have separate systems. The digital thread connects such enterprise systems with multiple service systems. Such connectivity allows for real-time information flow and analysis across engineering, manufacturing, and service functions inside the enterprise and among suppliers, distributors, and partners. This helps manufacturers reimagine the way products are designed, manufactured, and serviced for better business outcomes. With contextualized closed looping of systems enabled by the digital thread, manufacturers can analyze and improve processes within business functions and across the value chain in real-time or near real-time.
Service life cycle – A critical contributor to digital thread
Engineering and manufacturing data are the foundation for service, and this information is used by every service provider in every transaction, every single day.
Drawing insights from this gold mine of data can positively impact the top and bottom line for OEMs and their customers. The service life cycle is also about ten times larger in volume, revenue, and profit than engineering and manufacturing combined. An engine is designed and manufactured once and serviced for the rest of its life, which for some products can be for decades. This provides enterprises with immense opportunities to gain a larger share of customer lifetime value through service innovation and prepare for the shift to outcome-based services and new business models.
| Case in point |
| To illustrate how data can power the service life cycle, let’s look at a global leader in high performance power systems engineering and aircraft engines. It leveraged engine sensor data and its expertise in engine repairs to develop new service contracts, which assured uptime and in-service availability of engines to customers. To deliver the services, product performance data was analyzed with engineering physics, operating conditions, and then based on findings, parts, rotables, and service engineers were planned in advance. The iconic brand was able to generate revenue and profitability through new revenue streams and build loyalty |
Helping organizations knit data and solutions together
When challenges arise, it is natural to get a quick win by solving the immediate issue through point solutions with a narrow scope.
While useful in the short term, this perspective can debilitate an enterprise in the long term as point solutions and data become scattered across the enterprise. Streamlining the processes and incentivizing cross-function collaboration can break down silos. OEMs can effectively solve this challenge by analyzing systems, internal and external processes, and strategic initiatives to capitalize on the digital thread and deliver high-value outcomes. It is imperative for teams and business segments inside the enterprise to collaborate, determine data capture priorities, and identify the data that can benefit the organization. An enterprise-wide assessment is useful for determining which organizations and processes could benefit from that data.
Succeeding with service innovation
Today, customers demand much more from the products and services they use – they want outcomes.
They demand quality service that would help them operate more effectively and efficiently. Although service was considered necessary in the past, and more emphasis was given to designing and manufacturing quality products, times have changed now. Today, OEMs are unleashing the full potential of customer-centric service to provide increased revenue and profitability by leveraging advanced digital technologies. They need a foundation of digital technologies (digital core) to make the most of it. There are many technologies worth investing in to transform service and optimize service delivery. OEMs can leverage augmented reality (AR), IoT, artificial intelligence (AI), or machine learning (ML) to create exponential value by enhancing the capabilities of physical objects with digital intelligence.
Getting it right the first time is crucial
Still, when investing in these emerging technologies, OEMs should not forget this unmistakable aspect of service delivery – having the right service parts in the right place at the right time.
The single greatest leading indicator of repeat purchase is — when the asset required service, was it fixed the first time? Guided troubleshooting with diagnostics, trained technicians, AR-enabled manuals, and the right parts enable maximum asset uptime. Customer loyalty erodes quickly when asset uptime drops and service collapses.
Leading with service innovation
Manufacturing enterprises worldwide are realizing greater business value through service innovation.
The business climate for OEMs is volatile and ever-changing. Creating better products, faster, and optimizing service delivery is a high-level blueprint of success. Investing in digital thread and service innovation will pave the way to deliver imperative assets and fortify the enterprise, creating a safeguard against major industry and market disruptions. From automotive, construction equipment to medical device manufacturers and shipbuilders to aviation industry innovators, OEMs are capitalizing on the digital thread to use their resources better, driving down costs and enhancing efficiency.
From market disruptions to new operating models, TCS can help.
YOUR CHALLENGE
TCS Autoscape™ - Connected Vehicle Solutions
Cloud-based digital twins to design personalized customer journeys
our SOLUTIONs
Neural Manufacturing™ Suite
Build responsive value chains, create intelligent products, and deliver engaging experiences
TCS Strategic Cost Management
Ready-to-use tools to improve financial resilience across the manufacturing value chain
Contact
Contact
