Pages:2760

Executive Summary

The concept of industry 4.0 is offering a multitude of benefits to the food industry. It is a core concept in the 21st century to know about industrial value creation. The scope is associated with security risks and sustainability solutions, yet the benefits related to the food industry are multiple. Nestle company has similar targets as any other food company has in the context of improving operational capacity and efficiency, quality assurance, and productivity.

This report entails a detailed framework of industry 4.0 and its implementation with a specific context to the food industry, Nestle. The academic research and journal’s information regarding industry 4.0 is presented in this paper to pave the way to discuss Nestle digitalization. The digital solutions in production are carried out in the form of the power of big data, diverse mechanization, and machine learning. This transformation is significant to conduct computerized operations and drive improvement in operational efficiency.

 

 Chapter 1: Introduction

Nestle is the Swiss multinational company of food and beverages. Being the largest food company in the world, it is ranked number 33 in Forbes Global and 64 in Fortune Global 500 in 2017 as a large public company in terms of revenue and others (Ghazalian, 2012).

The company was established in 1905 by a merger of the Anglo-Swiss entity that was formed by George and Charles in 1866. This company grew enormously after World War I and then World War II. There are many corporate acquisitions after that, for instance, in 1950, Crosse and Blackwell, in 1963 Findus and 2007 Gerber (Vilkhu et al., 2008). The company has faced many criticism and boycotts for many products such as formula milk, use of child labor in the production of cocoa and bottled water promotions. Key competitors of Nestle are Danone, Unilever, Hershey and Mondelez International.  The consumers of Nestle are everyday households, individuals and retailers.  Its market share is 8billion Swiss francs(Rezzonico et al., 2015).

Chapter 2: Literature Review

Industry 4.0 is the Fourth Industrial Revolution. The term industry 4.0 is the smart manufacturing point and refers to the idea that all the manufacturers can connect their operations to plant (Rezzonico et al., 2015). The concept of mass production is linked to the latest technology implementation in bringing smart processes. Due to the use of more connectivity, sensors, analytics, and robotic technology, significant changes are seen in food and Beverage Companies. The investment in technology is carried out to meet customers’ expectations(Putičová, Mezera and Mejstříková, 2012).

Advances in Manufacturing Industry

Industry 4.0 is all about technical advances in the traditional sector. This revolution is about integration and virtualization with the coordination of logistics. The technical processes are significant to tackle any source of error and its elimination. Birkel et al. (2019) discussed the implications of industry 4.0 in food and the transformation of digital integration. The change in the industrial value chain is carried out to bring adaptability, efficiency, and flexibility that help fulfill customer’s needs.

Mauritian concept on Industry 4.0

Mauritius 2020-2024 policy has given attention to industry 4.0, in order to bring an effective platform of latest development(Daureeawoo, 2018). The fourth revolution implementation in Mauritius has a specific emphasis on transformation of small medium enterprises into a modern and developed framework(Maria Ferrari, 2020). The manufacturers face pressure about certain factors such as labeling, microbial impurities, and labeling. The policy in industry 4.0 tends to perform a qualitative leap and brings control of the whole value chain(Scholar, 2019). According to Deloitte University Press, lifecycle manufacturing under new technology is a complete paradigm shift (Putičová, Mezera and Mejstříková, 2012).

Gallmann (2003) mentioned that a crucial shift in industry 4.0 is based on some fundamental principles such as interoperability, real-time analytics, service orientation, virtualization, and scalability.  The interoperability is a crucial element under a cyber-physical system, corporation information system, and robots(levels” & Fakun, 2020). Real-time analytics offer assistance to analyze and collect enormous amounts of data that effectively optimize, control, and monitor processes to facilitate key manufacturing processes. The scalability is an elasticity that helps to adapt to the needs of industry and scale the technical capability of the system due to technical requirements (Ghazalian, 2012).

Effectiveness of Food industry due to 4.0

Hoerlsberger (2019) discussed the significance of beverage companies and highlighted the vast distribution networks about automated data collection. The food companies integrate production equipment for a better quality of production and ensure quality. The technology brings a transformational change in the industry regarding manufacturing. The beverage sector has not yet fully exploited the benefits of technology and industry 4.0. Khramtsov (2018) provided the idea about digitalization in industry 4.0 that can revolutionize the future of the food industry.

Figure 1 Industry 4.0

Luque et al. (2017) explored the effects of industry 4.0 on product provenance. The new formulations are used in the reduction of salt, sugar, and levels of fat. The development of the digital twin approach helps manufacturers to focus on a virtual factory where there is an accurate picture of the new formulation of products according to customer demand. Mauritius 2020-2024policy framework has included integrated automation as a digital process required for the integration of elements that offers a complete production process to improve the level of productivity. The fourth revolution in manufacturing holds a central place for innovation and allows the development of dramatic changes.

Martínez-Olvera and Mora-Vargas, (2019) examined the digital innovation in 21st-century consumer products that motivate customers by providing them a point of sale solution. Birkel et al. (2019) worked on the discussion that industry 4.0 is recalling customer’s demand. This advantage allows manufacturers to turn customers into recurring people who save time and money by focusing on technology. Due to RFID technology, the industry gets involved in a quick response because customers acquire information about a product before shipping. Industry 4.0 is a significant solution to all the existing problems of customers because many websites update information and facilitate customers to get the desired increase in their products, in turn, profits (Khramtsov, 2018).

 

Some Technologies of Industry 4.0

Internet of Things

Industry 4.0 is commonly known as the internet of things due to its integrated technologies. This integration is related to the industrial value creation in the realm of filly intelligent, digitalized, and decentralized networking.

Figure 2 IoT

The way forward provided by industry 4.0 in manufacturing helps customers to get important information about products. The manufacturers, due to the effect of technology, maintain equipment, and determine how its replacement will occur (Martínez-Olvera and Mora-Vargas, 2019).

Cloud Computing

The cloud computing and its application on the industry have given rise to innovation through connecting manufacturers and customers, raising the volatility of the market, and creating a highly dynamic environment(Abdallah, M. 2019).

Figure 3 Cloud Computing

The policymakers in the industry continue focusing on the sustainability of the market by turning current systems in ecological, economic, and social goods. The system is a triple bottom line of sustainability(Elmroth, Leitner, Schulte & Venugopal, 2019).

Artificial Intelligence

It creates value for the industry and develops technical foundations (O’Shea, O’Callaghan, and Tobin, 2019).

Figure 4 AI

The triple bottom line of sustainability provides the idea of corporate philosophy in which profits are maximized, and awareness about social responsibility is taken into account(Haider, S. F., & Khateeb, A. M. 2018).

3D printing

The technology offers three dimensional view of pictures and structures.

Figure 5 3D Printing

The technology is being used in large manufacturing and printing firms to provide accurate picture and handling of material(Dey, N., & Tamane, S. 2018).

Big data

The big data is all about storing information under three dimensions profit, planet, people, and it is related to economic, environmental, and social elements(Kamenov, 2018).

Figure 6 Big Data

The liquidity and profitability of a company’s data is seen under financial success. The sustainability of the environment undertakes essential technical practices to reproduce goods. The social perspective defines the economic actions of societal social capital (Uthayakumar, et al. 2019).

 

 

Chapter 3: Application of Industry 4.0 in Nestle

Nestle has planned to improve its food processing and product development segment with the help of the latest research. This research is attributable to industry 4.0 by envisaging the newest product development. The company is planning to implement cost optimization and labor inputs, in accordance with industry 4.0 in its plants of Germany. The Orange Box Solution is a similar technology being implemented in the plant to meet technical transformation and to make a step forward for the factories. Nestle plant in Schwerin, Germany, is intending to build highly advanced technology to attain the level of standardization. The Nestle production systems focused on efficient plant maintenance systems to acquire a competitive level in a performance that help optimize the value of the industry. The network infrastructure is going to be aligned with market demand so that monitoring and tracking of activities become easy (Amagliani et al., 2017).

Figure 7 Implementation of industry 4.0

Nestle has also implemented automation suppliers regarding technical management. The measures are implemented to enhance the efficiency of the system; for instance, unplanned downtime is reduced by improving the overall efficiency of the equipment. The fully integrated systems with technology are providing business resource management while the company is meeting the security standards of the global level (Birkel et al., 2019). Mapp technology is implemented to allow connection with various standard functions. Mapp mechanism is a smart application to establish a functional block for the company. It offers interactive components for technology that exchange data automatically. The automation effect and integrated line production is significant to understand because software packages under machine technology are coherent as it has opened a new field for the food industry (Gallmann, 2003).

The Mapp technology is further linked to the map view interface, which is managed by automation engineers. The easy to use HMI interfaces are aligned on the networking standards and ensure optimal viewing.

Benefits of Industry 4.0 in Nestle

With the development of integrated machine learning technology, Nestle has improved data transmission and virtual reality systems. The development, verification of performance, a wide variety of food packages systems, and machinery has faced a method of improvement under technology. Nestle has focused on the internal integration of product packaging lines that have improved the machine vision process for the inspection of product packaging and assemblage (Luque et al., 2017).

Nestle’s research and development has improved product technology in areas of competence. The Konolfingen area is a basic example in this context, and it is about nutritional solutions that are documented with consumer benefits(Nalchigar & Fox, 2017). The application of enzyme technology is significant to protect from allergy prophylaxes and promote digestion. Nestle has implemented cutting edge technology for aseptic filling and conservative heat treatment. The notion of process technology is also a significant benefit that is according to hygienic design (O’Shea, O’Callaghan, and Tobin, 2019). The revolutionary interventions have been implemented in Nestle regarding the product dying process and production of the probiotic culture.Menu support and integration are managing requirements of Nestle because the non-specialist staff needs help. Technology through communication fulfills TCP standards in terms of protocols (Khramtsov, 2018). The orange box technology in Nestle was implemented to produce food supplements to meet the nutritional needs of customers. It organizes data for staff to work under a security mechanism. This autonomous solution is helpful for the standard information systems and establishes insight to improve the targets.


Drawbacks

No drawback from the cutting edge technology has been seen for the food industry and processed production, instead, this technical framework is appeared significant to ease and facilitate the complex food systems and helped manufacturers to advance their production (Putičová, Mezera and Mejstříková, 2012). Some drawbacks can be related to security, digital waste, and collection of unnecessary data that needs effort by involving the digitization and automation process.


Implications

Industry 4.0 is a crucial development idea for Nestle because its processes have scaled up the business process due to state of the art technology programs (Rezzonico et al., 2015). The specialist’s team of research, quality assurance, and production are managing the nutrition level in the factory line (Uthayakumar, et al. 2019).

 

Szoda’s concepts to Nestle

The case study given by Szoda discusses the significance of industry 4.0 and its implementation in the supply chain process. The application of ideas discussed by a case study on Nestle can be seen from the optimal operation process carried out in food processing. The figure below presents the core operation in Nestle by highlighting planning that relates to suppliers, manufacturers, and goes to distributors.

Figure 8 information flow

The technology in this way has proved to be safer for a factory because the highly developed processes of security and control system are aligned with the state of the art simulation network and working for the efficient operation of complicated food processing programs (Vilkhu et al., 2008).Nestle management can be seen effective with the implementation of stock management and product segment process, as seen from this figure.

Figure 9 segmentation of products

The case study elaborates on product development and design options with relation to industry 4.0 that facilitates the process of information in food processing(Gilchrist, 2020).The advanced technology in the form of increased use of technology for the industry has improved the use of automation. The ease of automotive solutions to manufacturers has provided them an open and better space to work and coordinate.

Chapter 4: Conclusion

Nestle food industry is implementing the core concepts of industry 4.0 as the fourth revolution that can enhance food processing mechanisms. The company has to deal with improved processes of foods, to maintain its nutritional needs. The implementation of advanced technology and digital methods for food and beverages is carried out through storing data, recording information, and integrating human-based problems. Integrating technology is all about making efficient production to fulfill consumer demand. Nestle gathers data about consumer demand and implements IoT concepts to manage smart solutions. Bringing 4.0 industry to the food industry is to enhance food capacity and to solve problems regarding food production and to facilitate production operations.

 

References

Abdallah, M. (2019). Big Data Quality Challenges. 2019 International Conference on Big Data and Computational Intelligence (ICBDCI). doi: 10.1109/icbdci.2019.8686099

Amagliani, L., O’Regan, J., Kelly, A. and O’Mahony, J. (2017). The composition, extraction, functionality and applications of rice proteins: A review. Trends in Food Science & Technology, 64, pp.1-12.

Birkel, H., Veile, J., Müller, J., Hartmann, E. and Voigt, K. (2019). Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers. Sustainability, 11(2), p.384.

Haider, S. F., & Khateeb, A. M. (2018). Adopting Cloud Computing inAviation Industry for Flight Safety. International Journal of Innovative Research in Computer Science & Technology6(6), 133–137. doi: 10.21276/ijircst.2018.6.6.4

Dey, N., & Tamane, S. (2018). Big data analytics for smart and connected cities. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA): IGI Global.

Daureeawoo, J. (2018). Republic of Mauritius- Innovation is a key enabler to Smart Manufacturing, says VPM Jeewa-Daureeawoo. Retrieved 5 March 2020, from http://www.govmu.org/English/News/Pages/Innovation-is-a-key-enabler-to-Smart-Manufacturing,-says-VPM-Jeewa-Daureeawoo-.aspx

Elmroth, E., Leitner, P., Schulte, S., & Venugopal, S. (2019). Connecting Fog and Cloud Computing. IEEE Cloud Computing4(2), 22-25. doi: 10.1109/mcc.2017.29

Ghazalian, P. (2012). Assessing the Effects of International Trade on Private R&D Expenditures in the Food Processing Sector. Industry & Innovation, 19(4), pp.349-369.

Gilchrist, A. (2016). Industry 4.0. Springer, 1-12. Retrieved 25 February 2020

Hoerlsberger, M. (2019). Innovation management in a digital world. Journal of Manufacturing Technology Management, 30(8), pp.1117-1126.

Khramtsov, A. (2018). Logistics of the Dairy Sector New Technological Structure Formation of the Food Industry of the Agroindustrial Sector in the Conditions of the Limited Traditional Raw Materials Resources. Food Industry, 3(4).

Levels”, C., & Fakun, N. (2020). Chee-Peng Tan: “A Blueprint for Industry 4.0 must exist at all levels”. Retrieved 5 March 2020, from https://www.defimedia.info/chee-peng-tan-blueprint-industry-40-must-exist-all-levels

Luque, A., Peralta, M., de las Heras, A. and Córdoba, A. (2017). State of the Industry 4.0 in the Andalusian food sector. Procedia Manufacturing, 13, pp.1199-1205.

Kamenov, D. (2018). Intelligent Methods for Big Data Analytics and Cyber Security. Information & Security: An International Journal39(3), 255-262. doi: 10.11610/isij.3921

Martínez-Olvera, C. and Mora-Vargas, J. (2019). A Comprehensive Framework for the Analysis of Industry 4.0 Value Domains. Sustainability, 11(10), p.2960.

Maria Ferrari, A. (2020). How Mauritian Enterprises can benefit from Industry 4.0? – Investor’s Mag. Retrieved 5 March 2020, from https://investorsmag.net/2019/06/28/how-mauritian-enterprises-can-benefit-from-industry-4-0/

Nalchigar, S., & Fox, M. (2017). Achieving interoperability of smart city data: An analysis of 311 data. Journal Of Smart Cities3(1). doi: 10.26789/jsc.2017.01.001

O’Shea, N., O’Callaghan, T. and Tobin, J. (2019). The application of process analytical technologies (PAT) to the dairy industry for real time product characterization – process viscometry. Innovative Food Science & Emerging Technologies, 55, pp.48-56.

Putičová, M., Mezera, J. and Mejstříková, L. (2012). Development of firm structure of the Czech food industry sector: retrospect and perspective – Scientific Information. Agricultural Economics (Zemědělská ekonomika), 51(No. 4), pp.181-184.

Rezzonico, E., Mercenier, A., Baetge, E., Parkinson, S., Beck, T., le Coutre, J. and Brüssow, H. (2015). Nestlé’s research on nutrition and the human gut microbiome. Scientific American, 312(3), pp.79-85.

Riverol, C., Ricart, G., Carosi, C. and Di Santis, C. (2008). Application of advanced soft control strategies into the dairy industry. Innovative Food Science & Emerging Technologies, 9(3), pp.298-305.

Scholar, A. (2019). Amity Scholar’s Industry 4.0 club shine at NPQC 2019. Retrieved 5 March 2020, from http://www.maurice-info.mu/2019-08-14-amity-scholars-industry-4-0-club-shine-at-npqc-2019.html

Vilkhu, K., Mawson, R., Simons, L. and Bates, D. (2008). Applications and opportunities for ultrasound assisted extraction in the food industry — A review. Innovative Food Science & Emerging Technologies, 9(2), pp.161-169.

Uthayakumar, et. Al. (2019). Technology Enabled Manufacturing Industry Practices – Industry 4.0. International Journal of Recent Technology and Engineering, 8(4S4), pp.160-162.

 

 

 

Pages:10

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

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