Digitization plays a crucial role in automotive manufacturing. It equips the interior suppliers with necessary tools and helps them remain flexible and relevant in this modern era. With an increase in customer demand for value-added vehicles, the automotive suppliers are facing an immense pressure in coping up with the changing preferences and requirements, while remaining operational and profitable. Digitization in automotive manufacturing has made companies improve their competitiveness while setting a strong foundation for the future growth in a steadily evolving manufacturing landscape.


Digitized technologies in the manufacturing sector are transforming every department in the automotive manufacturing value chain, from product innovation to sales and services. The quick growth of data analytics and an increase in the use of the IoT enabled digital connectivity is bridging a connection between a company’s management and operations with consumers.


With the emergence of predictive analytics and cloud computing, the industrial manufacturing is moving towards a world of smart connectivity supported by highly disruptive technologies. On the IoT, the cyber-systems communicate with the connected production solutions in real-time. However, for businesses to stay ahead of its competitors, they will have to look beyond owning technologies and gear up for transformational changes.


The Importance of having a Digital Mindset

To attain operational excellence and strategic transformations, many industry leaders are transforming their business operations by looking beyond new technologies. This involves a change of mindset, a restructured business model, and a revamped ecosystem strategy. It is always good to start off with the customer, by offering them new services. Developing a relationship with customers is really the first building block. Then, there is a need for a genuine leadership team.


The awareness of management regarding new technology and its impact to the business model has to be high, therefore a lot of time and effort has to be invested in bringing this out to the new environment, not just from a technological point of view, but also with the collateral impacts of these technologies.


Even though these prerequisites require careful planning, all the companies that are aspiring to grow rapidly must act now. Technological transformations will continue to happen, however, one will have to prepare for them right away.


Opportunities in Vehicle Interiors

At present, the manufacturers of vehicle interiors are aiming to bring down their production costs and maintain the operational performance. Vehicle interior manufacturers are also striving to improve their processes. Digital manufacturing meets a lot of these challenges. By efficiently capitalizing on the power of digital technologies, the interior manufacturers can increase their productivity, bring down machine downtime and shorten the time to market. In the long run, the adoption of digitized manufacturing can also mean helping suppliers compete on a completely different level.


Analytics and apps will also play an important role in the development of services. Typically the OEM vehicle R&D programme is generally a 7-year programme. With the emergence of software, programmes now take less than 3 years.


Technologies for Industry 4.0

Today’s industrial manufacturing for most of the part remains unchanged. It aims to bring economies of scale linked to product manufacturing by increasing the volume of products that are manufactured, thereby bringing down the unit costs. The automotive industry works in a similar manner, with suppliers highly focused on optimizing the costs of products, rather than optimizing the capital that is essential to manufacture them.


In the present era, the automated and standardized digital processes can effectively absorb the cost of complexities involved in supply chain and procurement of raw materials. Leaders in the automotive industry are now deploying digital technologies to drive value. A good number of Tier 1 suppliers are relying on data analytics to optimize plant operations and enhance product quality.


Smart, digitized production solutions are effectively processing data to manage the inventory, while the premium management tools for supply-network are now enabling a clear view of the flow of raw materials and manufactured parts, standardizing the plant operations and reducing costs.


IoT in the Vehicle Interior Segment

The popular technology solutions manufacturer Lectra has set a benchmark in smart, connected cutting room equipment. Lectra’s VectorAuto fabric cutting solution has completely redefined the boundaries for speed and quality. At present, Vector has more than 175 embedded sensors for implementing preventive maintenance. Vectors that are set up worldwide, communicate in real time with Lectra’s call centers, where experts can intervene remotely.
Some years ago, Lectra introduced the leather cutting technology for the auto industry with VersalisAuto. With this incredible solution, the company launched one of the finest digital leather-cutting solutions on the market, by delivering the best-in-class quality. It was specially designed to cut leather without compromising on the productivity, VersalisAuto has one of the finest automated nesting systems for overall improvements in efficiency.
Technology has been constantly evolving. Automotive firms that embrace the digital technology head-on to deliver solutions for its customers stand to reap dividends. Organizations who are reluctant will surely become irrelevant.


HashedIn has helped many automotive firms by building applications to give the users a completely hassle-free experience. Kindly let us know if you have any specific problem/use case, where we can provide more information or consult you.

Almost every industry of the current era is being impacted by advanced analytics, and the automobile sector is no exception. All business activities are now becoming highly data-driven, and this is where analytics enters. All the businesses such as manufacturing, healthcare, automotive and education are all collecting personal information about their target consumers in order to have an actionable consumer insight.


In India, the real-time connectivity may still be a challenge, as there are frequent power cuts and limited broadband reach. There is also a challenge in acquiring talent in data analytics, this is the primary challenge for any sector. A company’s success will depend on finding such talent. Take, for instance, the automotive industry, the bill of materials for the assembly of vehicles is of utmost importance to the business operations. On an average, a vehicle will have 25k or more components and base parts. If we take a look at it from the data perspective, these relationships are hierarchical in nature and can be extremely complex to represent with accuracy. The level of complexity increases when there are reusable parts across various vehicle models and multiple combinations of the same. Without analytics, the task of understanding data in a useful manner is next to impossible.


Analytics helps in converting the consumer data into a corporate asset. With this, companies can easily determine the consumer preferences and automobile usage data for increasing customer acquisition as well as retention. It can also help the industry in gaining the design efficiencies, procurement and also help in effective supply chain management. With advanced analytics in place, companies can tweak the production lines to attain continuous improvements.


For instance, each component of an automobile can be neatly designed for improved performance and looks respectively. One can also have a detailed model-specific performance report using the actual data that is collected on driving safety, engine performance, comfort and servicing history. This immensely helps the vehicle manufacturers by providing a  real-world data for improving the designing of newer models.


On the Shop Floor

The performance analysis conducted with the help of various analytical tools help the automotive manufacturers with some useful insights that they otherwise would have no access to. At the shop floor level, analytics can help in improving the equipment utilization and make it available across the enterprise and assist in optimizing the factory capacity. Each and every process can be fine-tuned for maximizing the output and averting failures. This can help in effective inventory management as well as supply planning.


Impact of Modern Technologies

Extensive adoption of sensors and telematics is now prevalent in the consumer vehicles. This clearly conveys that the automotive manufacturers need expertise in various kinds of activities, which finally result in the production of an automobile; without advanced analytics report, getting a clear insight would be impossible.


Ford motors came up with a brilliant idea of integrating the vehicle purchasing data and the real-time vehicle plant data to build a vehicle level view of profitability, which incorporates the effect of both raw materials as well as the non-standard incremental features for every stock keeping unit. Ford generates the vehicle profitability details and then delivers it to the stakeholders as and when required.


Globalization may create loads of information that limits productivity, however, Big data can bring these together effectively. With standardization on the rise and an increase in the use of sensors to measure and rectify numerous functions, the ability of the automotive manufacturers in optimising the efficiencies at each stage, starting from implementing the regulatory compliance to selling and servicing the vehicles is being impacted by advanced analytics.

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