| |June 20209parts, real time use, training, changed marketing, and product strategy.3. Blockchain has proved its worth in various sectors of the business ecosystem. How can it bring-forth seam-less automotive supply chain management? Blockchain as a technology has the potential to disrupt many other domains of organisation, including the sup-ply chain. As blockchain allows secure exchange of data in a distributed manner, it starts to impact upon the way organisations are governed, supply chain relationships are structured, and transactions are conducted. Integrat-ed with other technologies like the Internet-of-Things (IoT), blockchain could be used to create a permanent, shareable, actionable record of every moment of a prod-uct's trip through its supply chain, creating efficiencies throughout the global economy. Improved visibility fa-cilitated through such technology may also afford prod-uct traceability, authenticity and legitimacy.The business ecosystem of any automotive industry involves multiple functions like planning, design, pro-duction, distribution, finance, marketing and sales & service. Optimizing the business supply chain manage-ment facilitates smooth supply chains, lesser logistics costs, lesser lead time, simple supply chain paperwork and management. Blockchain will improve the supply chain ecosystem of automotive industry by having the centralised plat-form for the following, with secured chain of custody, traceability and digitalization ­ procurement, insurance, proof of ownership, rules & regulation, integrated local laws of origin, and of destination of the shipments for smooth payments.4. Perspectives for blockchain are growing every day, with new innovations coming into existence. What is the road ahead for blockchain in the manufacturing industry?Blockchain is a digital tool that could transform the manufacturing industry. Blockchain technology shall facilitate manufacturing form sourcing raw materials to delivering the final product. Blockchain technology also increases transparency and confidence at every stage of the manufacturing lifecycle. It could help address the fol-lowing ­ increased transparency in supply chain moni-toring, material sourcing, counterfeit detection, design high complex products, identity management, process management, tracking of assets, quality assurance, and verification of regulatory compliance.There are many blockchain use cases being tested for combining with IoT and 3D printing to enable smarter manufacturing processes. Blockchain technology will play a vital role in smarter manufacturing processes, along with IoT, 3D Printing, Artificial intelligence and other technologies.5. Data analysis has reached the next level after big data came into existence. How can big data analytics take the manufacturing sector beyond revenue genera-tion?Big Data analytics formed foundation for a variety of new capabilities. This Big Data Analytics determines and forecasts the success of customer by identifying cor-relations between customer data and other maintaining data. Big Data Analytics has the potential to identify the hidden correlational patterns in a manufacturing indus-try to increase operational efficiency, increase lead times, shorten machine downtimes, and optimize other indica-tors, i.e. it is not only revenue generation .Benefit of Big Data Analytics are ­ · Reducing material cost · Improving productivity and reducing other re-quired resources· Resources will be better equipped to understand and eliminate the root causes of product risk · Removal of overlap cost and support: Big Data an-alytics helps in identifying and removal of overlaps in re-source allocation for process, people and technologies. It also provides detailed information for bridging the gap between project/program management and resources. · Suggest best tools & techniques: Big Data Ana-lytics shall enable organizations to look beyond revenue generation and concentrate on the actual business.6. Artificial Intelligence has been beneficial for a lot of sectors such as healthcare and retail, among several others. What role can AI play in redefining the manu-facturing industry?Maintenance: Predictive maintenance systems depend on AI technique to formulate predictions. Implementing predictive analytics in AI allows to forecast and avoid production waste by identifying areas of weakness and suggesting focused action items that reduce product de-fects and inefficiencies.
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