Executive Summary

The realm of big data analytics is integral to bring advanced communication and technical solutions to manufacturing industries. A simple simplicity of plug and play is useful in industry 4.0 regarding automated controls to the production and infrastructure systems. The Internet of Things is changing the scope of the industry and maintaining large machines to effectively manage the supply chain. New products are optimized and customized to offer attractive insights to customers for machine operations. Intel Corporation is working under Industry 4.0 to bridge the gaps in sensors, machines, and applications of IT. Intel is partnering with Industry 4.0 to ease the communication, advance machine learning and communicate virtually with machines.

This report discusses the scope of Intel Corporation in the realm of Industry 4.0, which is a big revolution in providing advanced technology. The IT application, asset management, proprietary processes, and logistics are managed by machines. The research report provided a key literature review about the application of 4.0 concepts in the manufacturing sector which is offering customized products and services. Intel Corporation and its concepts about automotive advanced solutions are implemented based on cloud computing and IoT (Petrick& McCreary, 2020). The advantages and drawbacks of the company are discussed in the paper with the implications. It is recommended that cloud computing, digital analytics, and big data are key components that are to be used wisely to protect privacy.

Chapter 1: Introduction Intel Corporation 

Digital technology and computer system manufacturers are globally working. Intel Corporation is an American multinational company, situated in Silicon Valley, California. The company designs highly valued semiconductor chips and microprocessors of the x86 series (Boles, 2019). Mostly the processors are designed for personal computers. The Intel Company is at number 46 in terms of high revenue corporations of the US, according to Fortune 500. The network interface controllers, motherboard chipsets, integrated circuits, graphic chips, flash memory, and embedded processors are some other key computing and communication devices manufactured by the company (O’Dair&Beaven, 2017). Intel Corporation was established in 1968 by Gordon Moore and Robert Noyce, who are semiconductors pioneers.

Intel is heavily investing in microprocessor designs to foster its rate of growth. It is also a dominant supplier in computing and microprocessors. The company is known for the implementation of anticompetitive and aggressive tactics to defend its market positioning. The model of the company in terms of managerial approach, expectations, and accountability is considered a remarkable approach for not only information, communication, and technology (ICT) industry but also for other industries (Yarlagadda et al., 2019). The company is operating in more than 63 countries with larger than 600 facilities and about 110,000 employees. Intel is operating in various groups such as Data Center, IoT group, Memory solution, and New Technology group.

 

 Chapter 2:  Literature review on 4.0 

Industry 4.0 is a revolution in the current era of digital technology. The rapid influence of smart technologies is seen in computer manufacturing, which is bringing together robots, connected machines and smart devices (Likitswat, 2019). The generalized computer technology is considered a steady stream that is working under real-time data analytics to accomplish tasks. These technologies are increasing the automation of the industry by driving intelligent factories. With the help of real-time data analytics, the hyper agility and operational transparency are ensured, thus kick start the transformation in business (Petrick& McCreary, 2020). The IoT enabled systems in the computer manufacturing environments are successfully anticipating the transformation process so yielding the ‘systems of systems’.

 Evolution of 4.0

The term ‘industry 4.0’ is a smart factory that employs digital tools to communicate and digital devices for communication and networking ((O’Dair&Beaven, 2017). This process is carried out through semi-finished products, raw materials, robots, machines, and products. The industry 4.0 is characterized by customer integration, efficient use of resources, flexibility and business partners. In the networking, manpower and robots are equally working with the scope of artificial intelligence and the sensors embed the signals in robots to increase this cooperation (Likitswat, 2019). In industry 4.0, digital technology is used to handle complex business models to run the innovation and influence the complete lifecycle of the product.

Figure 1Industry 4.0

Gilchrist (2020) discussed the production strategy employed in industry 4.0 to offer customized products and transform the industry into a more integrated network. It is a collective term to categorize the main component of Industry 4.o such as the Internet of Things, the Internet of Services, Cyber-Physical system, and Smart Factory. Petrick& McCreary (2020) discussed visual computing as a key component that works on data generation intelligence systems. The technology used for industry 4.0 is capable to solve the data problems related to smart systems and bring proactive technical improvements. Philippov et al., (2019) illustrated that industry 4.0 is composed of factory 4.0 (robots, unmanned vehicles, mobile devices, sensors, advanced nanotechnology, advanced manufacturing, 3D system), cybersecurity, data processing software, mass customization, IoT and logistics 4.0.

The industry 4.0 spread is extensive and taking into consideration different policies of the government. For instance, Mauritius policy 2020-2024 is reconsidering the agenda of the government to improve service delivery. For example, the digital industrial revolution is being implemented in different projects and policies of open source, data sharing, open data participation, and document management system (Bureau, 2018). The digital transformation policy is implemented through an agile principle, digital skill, customized capacity building, and digital inclusiveness. This will work in the country under the e-government needs-centric approach to consult businesses and tackle the challenges the Mauritius government is facing. The digital Mauritius plan is a strategic initiative by the government to acquire assistance from technological and take short, medium and long term measures (Petrick& McCreary, 2020). The industrial revolution era is categorized in smart terms under digital vison 2030 agendas where the government is focusing on associated costs and transform the public sector on priority. In Mauritius, the open data initiative is empowered through the participation of the public to offer the sharing of data through innovative technologies.

Figure 2 Manufacturing era

South Asian manufacturing sectors are considering 4.0 as a scope of digital technologies. In Africa, China and India, the application of industry 4.0 are going beyond the scope of traditional manufacturing practices (Hammarlund et al., 2014). The industrial development model is implemented in Africa to upgrade the industry in terms of location detection technologies, object tracking, advanced technical gadgets, and to handle supply chain related problems.

 IoT

The Internet of Things is a commonly applicable platform about electronic components like networking, sensors, software that allow the exchange of information (Petrick& McCreary, 2020). The IoT framework is a daily applicable network that deals with big data streams and attached sensors to the internet and works as a channel for communication networking. The information analytics works efficiently based on online tools available and link it to cloud analytics. These components are Jasper, Microsoft Azure, Google Cloud, and Thingworx.

Cloud Computing

The cloud computing platforms are convenient, ubiquitous, and on-demand networking that works on configurable computing platforms. These platforms offer good interaction and reduce management efforts by sharing data with distributed systems. A common cloud computing platform is Goggle in the form of drive. Windows users use Azure (Boles, 2019). A vast variety of domains are attached in cloud computing such as healthcare, business, and manufacturing.

Big Data Analytics

The technology in big data analytics work based on rapidly generated information and fast internet speed. Big data involves a large stream of data for inferential decisions. Several domain applications employ big data technology as a big breakthrough such as healthcare, supply chain management, and manufacturing (Philippov et al., 2019). The main issue with big data technology is data security.

 Customer Interaction Technology

Customer interaction with products, companies, and services is increasing within the realm of the internet and rapid technology (Bureau, 2018). The internet and technology allow the rapid solution to design products by focusing on concepts and sell online. The self-service technologies are increasingly used in hotel checkout, telephone banking, and investment trading and customer service.

Augmented Reality

The augmented reality and wearables are key technologies that have empowered customers to be proactive and efficient in all the computing capabilities. These technical applications are maximizing the awareness of real-time information and helping in decision making. In the medical field, this application of technology is seen in exercise habits, checking pulse and heart rate.

 Chapter 3: Application of Industry 4.0 in Intel Corporation

The intelligence factory has been proved to be of greater interest to Intel. The Intel Corporation as a manufacturer focuses on precision-tuned efficiency in all aspects. The traditional automated systems are capable of augmented efficiency in IoT in advanced analytics and data-driven materials (Yarlagadda et al., 2019). IoT in Intel is used through big data analytics to help identify potential in devices. Image analytics is used to speed up long manual tasks by segregating failure parts. The machine learning is focusing on automating and visualizing the controlled equipment performance to anticipate performance and maintenance needs. The IoT enabled efficiencies in Intel are helping to increase yields, accelerate profit and lower the average time to repair.

Intel manufacturing prowess has a long experience in manufacturing semiconductors. The company has created a digital environment to describe key manufacturing intensities under computer-based technologies. Intel is using this platform to help participants achieve an efficient operating environment to anticipate challenges in the intelligent factory journey. The digital intensity impact is significant to explore key opportunities and identify threats that are related to the subjective experience of manufacturing in digitization (Hammarlund et al., 2014). Intel has made significant progress from traditional semiconductors to digital performance, industry 4.0 and the data exchange. The IoT, cognitive computing and cloud computing in Intel are associated with productivity gains. Due to informational series, next-generation technologies are playing an integral role in boosting productivity (Bureau, 2018).

The journey of industry 4.0 is all about artificial intelligence and analytics that drive innovation and decision making power. The transformative opportunities, in this form, are creating the potential for the industry. For example, Intel is expected to create more than $3.7 trillion in value due to advanced automotive and global manufacturing (Gilchrist, 2020). The company believes that it is still in initial adoption stages with only 30% of companies are actively deploying the IoT solutions. The industrial influence of the Internet of Things is a kind of cloud-connected platform that has generated data-driven technology. The greater automated machine performance and the smart factory is working on hyper agility principles under the data transformation business. Intel has also a rich legacy to work with global manufacturers of the industry to acquire high-level workload consolidation.

 Benefits technology to Intel Corporation 

Intel Corporation is implementing all the advanced automation and computing technologies to its products under digital intensity. At Hannover Messe, the company is implementing artificial technologies and edge computing that are useful for leading manufacturers to get an idea about Industry 4.0. The concept of industry 4.0 with a new ecosystem is taking into account Alibaba Cloud, ABB Electrification, Amazon Web services, GE digital, Microsoft and Hewlett Packard Enterprise. These companies are driving in the industry at a faster pace. The use of technology for Intel is useful in the form of improved efficiency. The business utilizing technology by Intel 5G step is working with low latency connectivity.

The Intel technology-powered business is capable to unlock the operational tendencies and bringing safety improvements in vision, implementation of Al practices and machine to machine automation. Intel is showing industrial system next-generation software to improve scalability and flexibility for all general-purpose computing.

 Drawbacks for Intel Corporation

Intel Corporation is shaping the future of data, the cloud-centered approach is enhancing the efficiency of billions of devices, smartphones, PCs and virtual reality systems. There are some drawbacks to this implementation of technology. For example, data sharing and big data streams through different networking and channels have a high risk of security. The security and data breach are key issues that digital organizations are also facing. Privacy is no more guaranteed, once advanced technology is implemented to the devices and PCs. For Intel, machine to machine process can face some limitations (Hammarlund et al., 2014). The programmable solutions and advancement in data centers for memory technology can also face issues regarding performance since these techniques have to handle a big stream of data. The industry 4.0 has a great potential for the new businesses and manufacturers but data deluge can be daunting.

Implications

Industry 4.0 and manufacturing 4.0 are used together to translate the significance of large scale manufacturing companies. The technology and advanced automotive systems are integral to enhance the focus of the company and add value to the tasks. Intel is looking forward in this way to bring transparency in work and communication because cloud information is expanding base of Intel services and more in sync is occurring.

Szoda’s Concepts 

The concepts elaborated in the Szoda case study about industry 4.0 describe the importance of business models employed IoT. Supply chain concepts are formulated by the implementation of the digital framework (Gilchrist, 2020). The examples about the fourth industrial revolution are given through supply chain practices in the industry, i.e. a fully automated company when applies the digital industrial revolution, mass personalization allows a controlled operating process to ensure optimum operation.

Industry 4.0 implementation in Intel can be seen from its value chain processes that are highly integrated and automated advanced technology is applied to the semiconductors manufacturing (Szozda, 2017). It can be seen from the figure below

Figure 3 Product and Information Flow

The planning in Intel moves to manufacturers and suppliers then distributors and retailers. The flow of information is continuous from the first step to customers while product flow is streamlined.

The flow of information in the healthcare segment can be seen from the figure.

Figure 4 Information and Product segments

It is similarly applied in Intel where distribution channel selection is involved in managing stock.

 Chapter 4: Conclusion & Recommendation

Intel Corporation is a leading technology company that deals in manufacturing semiconductors and hardware for personal computers. The fourth industrial revolution, industry 4.0 is a leading change in the field of industry, computing, and technology that has increased the linkage between global companies through digital connections. The information communication and technology is implemented at advanced levels in Intel Corporation that digital intensity is considered a key platform for integration. Industry 4.0 is critical to discuss due to its key features since it is applicable to supply chain management aspects. Intel is operating in a new world of technology, where IoT and cloud computing is implemented in a digital framework to provide ease of operation. The production of material and machines are used to meet the needs of individuals. Intel Company is bridging the gap by the digital transformation sector and uncovering the key skills gap. According to the manufacturing institute, the Intel is supporting digital manufacturing transformation by understanding the key modern programming in software and getting the idea of digital dexterity.

References

Boles, C. (2019). Intel Powering Industry 4.0 for Smart Manufacturing and Data-Centric Transformation | Intel Newsroom. Intel Newsroom. Retrieved 25 February 2020, from https://newsroom.intel.com/editorials/intel-powering-industry-4-0-smart-manufacturing-data-centric-transformation/#gs.xf245l.

Bureau, C. (2018). Final Digital Government Transformation Strategy. Republic Of Mauritius. https://doi.org/http://mtci.govmu.org/English/Documents/2018/Launching%20Digital%20Transformation%20Strategy%20191218/Final%20Digital%20Government%20Transformation%20Strategy%202018%20-%202022.pdf

Gilchrist, A. (2020). Industry 4.0. Springer, 1-12. Retrieved 25 February 2020, from.

Hammarlund, P., Martinez, A., Bajwa, A., Hill, D., Hallnor, E., & Jiang, H. et al. (2014). Haswell: The Fourth-Generation Intel Core Processor. IEEE Micro, 34(2), 6-20. https://doi.org/10.1109/mm.2014.10

Likitswat, F. (2019). Future Cities: New Generation’s Visions of Sustainability Concepts and Models. Future Cities And Environment, 5(1). https://doi.org/10.5334/fce.61

O’Dair, M., &Beaven, Z. (2017). The networked record industry: How blockchain technology could transform the record industry. Strategic Change, 26(5), 471-480. https://doi.org/10.1002/jsc.2147

Petrick, D., & McCreary, D. (2020). Industry 4.0 Demands the Co-Evolution of Workers and Manufacturing Operations. Intel, 2-7. https://doi.org/https://newsroom.intel.com/wp-content/uploads/sites/11/2018/04/abstract-intel-manufacturing-research.pdf

Philippov, I., Melik-Adamyan, A., &Sukhomlinov, V. (2019). Cloud Deployment of Network Functions. INFORMACIONNYE TEHNOLOGII, 25(4), 223-228. https://doi.org/10.17587/it.25.223-228

Pilloni, V. (2018). How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0. Future Internet, 10(3), 24. https://doi.org/10.3390/fi10030024

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