With the help of the case study. Discuss the relationship between industrial 4.0, industrial internet of things (IIOT) and big data (BD) the implementation in the advanced modern era logistics business operations towards effective supply chain business processes. You are required to include clear necessary reasonable assumptions. Part A: Case StudyIndustry 4.0 (4IR)World Examples of Digital Manufacturing in ActionIndustry 4.0 in a nutshell - Industry 4.0 is signaling a change in the traditionalmanufacturing landscape. Also known as the Fourth Industrial Revolution, Industry4.0 encompasses three technological trends driving this transformation: connectivity,intelligence and flexible automation. Industry 4.0 converges IT (InformationTechnology) and OT (Operational Technology), to create a cyber physicalenvironment.2. Big Data and AnalyticsBig Data refers to the large and complex data sets generated by IoT devices. This datacomes from a wide range of cloud and enterprise applications, websites, computers,sensors, cameras and much more - all coming in different formats and protocols. Inthe manufacturing industry, there are many different types of data to take intoconsideration, including the data coming from production equipment fitted withanddatabasesfromERP,CRMandMESsystems,sensorsBut how can manufacturers convert the data collected into actionable businessThis convergence has been made possible thanks to the emergence of digital solutionsand advanced technologies, which are often associated with Industry 4.0. Theseinclude:insights and tangible benefits? Ultimately, by taking previously isolated data sets,collecting and analyzing them, companiesthe processes that have the greatest effect on yield.now able to find new ways to optimizeIndustrial Internet of ThingsBig Data & Cloud computingAdditive manufacturing (AM)Spotlight: Big Data decision-making at Bosch Automotive factory in ChinaCombining IloT and Big Data is a recipe Bosch is using to drive the digitaltransformation of its Bosch Automotive Diesel Svstem factory in Wxi, China.Advanced roboticsDigital TwinsAugmented and virtual reality (AR/VR).These technologies are helping to drive manufacturing's digital transformationthrough the integration of previously disparate systems and processes throughinterconnected computer systems across the value and supply chain. EmbracingIndustry 4.0, digital manufacturing and the inter connectivity that comes with it opensa myriad of benefits for companies, including greater agility, flexibility andoperational performance.3. Cloud computingCloud computing offers a platform for users to store and process vast amounts of dataon remote servers. It enables organizations to use computer resources without havingto develop a computing infrastructure on premise. The term cloud computing refers toinformation being stored in the "cloud", accessed remotely via the Internet. In itself,cloudis not a solution on its own, but enables the implementation of othercomputingsolutions that once required heavy computing power. The capability of cloudcomputing tocompanies to capture and apply business intelligence through the use of big dataanalytics, helping them to consolidate and streamline manufacturing and businessoperations.Manufacturers' global spending on cloud computing platforms is predictedto reach $9.2 billion in 2021, according to IDC. A key factor behind this adoption isthe benefit of being able to centralise operations, eliminating so that information canbe shared across an entire organisation. According to one IDC survey, QualityControl, Computer-Aided Engineering and Manufacturing Execution Systems (MES)are the three most widely adopted systems in the cloud.provide scalable computing resources and storage space enables1. Industrial Internet of ThingsIoT refers to a network of physical devices that are digitally interconnected,facilitating the communication and exchange of data through the Internet. These smartdevices could be anything from smart-phones and household appliances to cars and even buildings.Industrial IoT is a subset of the Internet of Things, where various sensors, RadioFrequency Identification (RFID) tags, software and electronics are integrated withindustrial machines and systems to collect real-time data about their condition andperformance.Clearly, cloud computing is transforming virtually every facet of manufacturing, fromwork-flow management to production operations – and even product qualification.IIOT has many use cases, with asset management and tracking being one of the majorapplications of the technology today. For example, IloT can be used is to prevent theoverstocking or understocking of inventory. As this example demonstrates, IloT cansignificantly improve operations, increase efficiency, reduce costs and providevaluable real-time visibility across the supply chain.Spotlight: BJC Healthcare are adopting IoT for inventory and supply chainmanagement.Spotlight: Volkswagen creates Automotive CloudConnected cars are a big new trend in the automotive industry, having emerged as anopportunity to offer digital added-value services for customers. One of the firstautomakers to jump on this trend is Volkswagen, which joined forces withMicrosoft to develop a cloud network, the "Volkswagen Automotive Cloud".4. Advanced RoboticsWhile robotics have been used in manufacturing for decades, Industry 4.0 has givennew life to this technology. With recent advancements in technology, a newgeneration of advanced robotics is emerging, capable of performing difficult anddelicate tasks. Powered by cutting-edge software and sensors, they can recognize,analyze and act upon infomation they receive from the environment, and evencollaborate and leam from humans.One area of robotics gaining significant traction is collaborative robots ("cobots"), designed to work safely around people, freeing to this concept. As an IloT device sends data almost in real time, a digital twin is ableto collect this data continuously, maintaining its fidelity with the original throughoutthe lifespan of the product or system. This enables the digital twin to predict potentialissues so that preemptive measures can be taken. For example, an operator can use amalfunctioning or to predict the lifetime of aproduct. This continuous simulation helps to improve designs of products as well as toworkers from repetitive and dangerous tasks.Spotlight: Fetch Robotics help DHL improve warehouse operations. Fetch Roboticsin a warehouse [Image credit: Fetch Robotics]to identify why a partryindigitalensure equipment uptime.California-based Fetch Robotics has developed collaborative Autonomous MobileRobots (AMRS) for locating, tracking, and moving inventory in warehouse and This use of digital twins has long been an important tool in demanding aerospace,logisticsA DHL distribution centre in the Netherlands is using Fetch AMRS to perform pick technology, machine learning and sensors are expanding the concept of digitaland place operations. At DHL, AMRS autonomously move across the facilityalongside the workers, automatically learning and sharing the most efficient travelroutes. Using self-driving robots50% and provide up to twice the picking productivity gain, according to thecompany.As robots become more autonomous, flexible and cooperative, they will beable to tackle even more complex assignments, relieving the workers frommonotonous tasks and increasing productivity on the factory floor.facilities.heavy machinery and automotive applications. Now, advances in computingtwinning across other industries.this way can help reduce order cycle time by up to Spotlight: Racing to win with digital twins. Siemen's Digital Twin technology can beused to create a virtual version of factory assets [Image credit: Siemens).7. Augmented reality5. Additive ManufacturingAlongside robotics and intelligent systems, additive manufacturing, or 3D printing, isa key technology driving Industry 4.0. Additive manufacturing works by using digital3D models to create parts with a 3D printer layer by layer. Within the context ofIndustry 4.0,Despite its uptake in consumer applications, the manufacturing industry is justbeginning to explore the benefits of Augmented Reality (AR) technology. And yet,there is a huge untapped potential for the technology, from helping with assemblyprocesses to helping to maintain manufacturing equipment. Augmented reality bridgesthe gap between the digital and physical worlds by superimposing virtual images ordata onto a physical object. For this, the technology uses AR-capable devices, such as3D printing is emerging as a valuable digital manufacturing technology.a rapid prototyping technology, today AM offers a huge scope of smart-phones, tablets and smart glasses.In the context of manufacturing. AR couldpossibilities for manufacturing from tooling to mass customization across virtually allindustries.It enables parts to be stored as design files in virtual inventories, so thatthey can be produced on-demand and closer to the point of needenable workers to speed up the assembly process and improve decision-making. Forexample, AR glasses could be used to project data, such as layouts, assemblyguidelines, sites of possible malfunction, or a serial number of components, on thereal part, facilitating faster and easier work procedures.a model knownas distributed manufacturing.Such a decentralized approach to manufacturing canreduce transportation distances, and hence costs, as well as simplify inventorymanagement by storing digital files instead of physical parts.Spotlight: Fast Radius' digital additive manufacturing solutions to enable newbusiness models. There is a multitude of examples of additive manufacturing beingput to great use, but a key example is, perhaps, Fast Radius.Spotlight: AR increases productivity at GEGeneral Electric offers a glimpse at how AR technology can empower manufacturing.The company is currently piloting the use of AR glasses at its jet enginemanufacturing facility in Cincinnati. Before using these smart glasses, jet engineensure tasks were being performed correctly.The contract manufacturer, which focuses on AM but also offers CNC machining andinjection molding. has production sites in Chicago, Singapore and at the UPSWorldport facility. This makes Fast Radius well-positioned to drive its vision of fast-turnaround and mass customisation of products with the help of advancedmanufacturing technologies.Ultimately, Industry 4.0 is set to take root across the manufacturing ecosystem. Butonly by understanding and hamessing the technologies driving Industry 4.0, willmanufacturers stay on the cutting edge of this new digital era.6. Digital TwinsThe concept of a digital twin holds great promise for optimizing the performance andmaintenance of industrial systems. Global research fim, Gartner, predicts that by2021, 50% of large industrial companies will be using digital twins to monitor andcontrol their assets and processes.A digital twin is a digital representation of a real-world product, machine, process, or system, that allows companies to betterunderstand, analyze and optimize their processes through real-time simulation. Whiledigital twins can be confused with simulation used in engineering, there is much moreSource: Extracted from Autonomous Mamıfacturing (AMFG) cmd Spotlight reports.

Question

With the help of the case study. Discuss the relationship between industrial 4.0, industrial internet of things (IIOT) and big data (BD) the implementation in the advanced modern era logistics business operations towards effective supply chain business processes. You are required to include clear necessary reasonable assumptions. Part A: Case StudyIndustry 4.0 (4IR)World Examples of Digital Manufacturing in ActionIndustry 4.0 in a nutshell - Industry 4.0 is signaling a change in the traditionalmanufacturing landscape. Also known as the Fourth Industrial Revolution, Industry4.0 encompasses three technological trends driving this transformation: connectivity,intelligence and flexible automation. Industry 4.0 converges IT (InformationTechnology) and OT (Operational Technology), to create a cyber physicalenvironment.2. Big Data and AnalyticsBig Data refers to the large and complex data sets generated by IoT devices. This datacomes from a wide range of cloud and enterprise applications, websites, computers,sensors, cameras and much more - all coming in different formats and protocols. Inthe manufacturing industry, there are many different types of data to take intoconsideration, including the data coming from production equipment fitted withanddatabasesfromERP,CRMandMESsystems,sensorsBut how can manufacturers convert the data collected into actionable businessThis convergence has been made possible thanks to the emergence of digital solutionsand advanced technologies, which are often associated with Industry 4.0. Theseinclude:insights and tangible benefits? Ultimately, by taking previously isolated data sets,collecting and analyzing them, companiesthe processes that have the greatest effect on yield.now able to find new ways to optimizeIndustrial Internet of ThingsBig Data & Cloud computingAdditive manufacturing (AM)Spotlight: Big Data decision-making at Bosch Automotive factory in ChinaCombining IloT and Big Data is a recipe Bosch is using to drive the digitaltransformation of its Bosch Automotive Diesel Svstem factory in Wxi, China.Advanced roboticsDigital TwinsAugmented and virtual reality (AR/VR).These technologies are helping to drive manufacturing's digital transformationthrough the integration of previously disparate systems and processes throughinterconnected computer systems across the value and supply chain. EmbracingIndustry 4.0, digital manufacturing and the inter connectivity that comes with it opensa myriad of benefits for companies, including greater agility, flexibility andoperational performance.3. Cloud computingCloud computing offers a platform for users to store and process vast amounts of dataon remote servers. It enables organizations to use computer resources without havingto develop a computing infrastructure on premise. The term cloud computing refers toinformation being stored in the &#34;cloud&#34;, accessed remotely via the Internet. In itself,cloudis not a solution on its own, but enables the implementation of othercomputingsolutions that once required heavy computing power. The capability of cloudcomputing tocompanies to capture and apply business intelligence through the use of big dataanalytics, helping them to consolidate and streamline manufacturing and businessoperations.Manufacturers' global spending on cloud computing platforms is predictedto reach $9.2 billion in 2021, according to IDC. A key factor behind this adoption isthe benefit of being able to centralise operations, eliminating so that information canbe shared across an entire organisation. According to one IDC survey, QualityControl, Computer-Aided Engineering and Manufacturing Execution Systems (MES)are the three most widely adopted systems in the cloud.provide scalable computing resources and storage space enables1. Industrial Internet of ThingsIoT refers to a network of physical devices that are digitally interconnected,facilitating the communication and exchange of data through the Internet. These smartdevices could be anything from smart-phones and household appliances to cars and even buildings.Industrial IoT is a subset of the Internet of Things, where various sensors, RadioFrequency Identification (RFID) tags, software and electronics are integrated withindustrial machines and systems to collect real-time data about their condition andperformance.Clearly, cloud computing is transforming virtually every facet of manufacturing, fromwork-flow management to production operations – and even product qualification.IIOT has many use cases, with asset management and tracking being one of the majorapplications of the technology today. For example, IloT can be used is to prevent theoverstocking or understocking of inventory. As this example demonstrates, IloT cansignificantly improve operations, increase efficiency, reduce costs and providevaluable real-time visibility across the supply chain.Spotlight: BJC Healthcare are adopting IoT for inventory and supply chainmanagement.Spotlight: Volkswagen creates Automotive CloudConnected cars are a big new trend in the automotive industry, having emerged as anopportunity to offer digital added-value services for customers. One of the firstautomakers to jump on this trend is Volkswagen, which joined forces withMicrosoft to develop a cloud network, the &#34;Volkswagen Automotive Cloud&#34;.4. Advanced RoboticsWhile robotics have been used in manufacturing for decades, Industry 4.0 has givennew life to this technology. With recent advancements in technology, a newgeneration of advanced robotics is emerging, capable of performing difficult anddelicate tasks. Powered by cutting-edge software and sensors, they can recognize,analyze and act upon infomation they receive from the environment, and evencollaborate and leam from humans.One area of robotics gaining significant traction is collaborative robots (&#34;cobots&#34;), designed to work safely around people, freeing to this concept. As an IloT device sends data almost in real time, a digital twin is ableto collect this data continuously, maintaining its fidelity with the original throughoutthe lifespan of the product or system. This enables the digital twin to predict potentialissues so that preemptive measures can be taken. For example, an operator can use amalfunctioning or to predict the lifetime of aproduct. This continuous simulation helps to improve designs of products as well as toworkers from repetitive and dangerous tasks.Spotlight: Fetch Robotics help DHL improve warehouse operations. Fetch Roboticsin a warehouse [Image credit: Fetch Robotics]to identify why a partryindigitalensure equipment uptime.California-based Fetch Robotics has developed collaborative Autonomous MobileRobots (AMRS) for locating, tracking, and moving inventory in warehouse and This use of digital twins has long been an important tool in demanding aerospace,logisticsA DHL distribution centre in the Netherlands is using Fetch AMRS to perform pick technology, machine learning and sensors are expanding the concept of digitaland place operations. At DHL, AMRS autonomously move across the facilityalongside the workers, automatically learning and sharing the most efficient travelroutes. Using self-driving robots50% and provide up to twice the picking productivity gain, according to thecompany.As robots become more autonomous, flexible and cooperative, they will beable to tackle even more complex assignments, relieving the workers frommonotonous tasks and increasing productivity on the factory floor.facilities.heavy machinery and automotive applications. Now, advances in computingtwinning across other industries.this way can help reduce order cycle time by up to Spotlight: Racing to win with digital twins. Siemen's Digital Twin technology can beused to create a virtual version of factory assets [Image credit: Siemens).7. Augmented reality5. Additive ManufacturingAlongside robotics and intelligent systems, additive manufacturing, or 3D printing, isa key technology driving Industry 4.0. Additive manufacturing works by using digital3D models to create parts with a 3D printer layer by layer. Within the context ofIndustry 4.0,Despite its uptake in consumer applications, the manufacturing industry is justbeginning to explore the benefits of Augmented Reality (AR) technology. And yet,there is a huge untapped potential for the technology, from helping with assemblyprocesses to helping to maintain manufacturing equipment. Augmented reality bridgesthe gap between the digital and physical worlds by superimposing virtual images ordata onto a physical object. For this, the technology uses AR-capable devices, such as3D printing is emerging as a valuable digital manufacturing technology.a rapid prototyping technology, today AM offers a huge scope of smart-phones, tablets and smart glasses.In the context of manufacturing. AR couldpossibilities for manufacturing from tooling to mass customization across virtually allindustries.It enables parts to be stored as design files in virtual inventories, so thatthey can be produced on-demand and closer to the point of needenable workers to speed up the assembly process and improve decision-making. Forexample, AR glasses could be used to project data, such as layouts, assemblyguidelines, sites of possible malfunction, or a serial number of components, on thereal part, facilitating faster and easier work procedures.a model knownas distributed manufacturing.Such a decentralized approach to manufacturing canreduce transportation distances, and hence costs, as well as simplify inventorymanagement by storing digital files instead of physical parts.Spotlight: Fast Radius' digital additive manufacturing solutions to enable newbusiness models. There is a multitude of examples of additive manufacturing beingput to great use, but a key example is, perhaps, Fast Radius.Spotlight: AR increases productivity at GEGeneral Electric offers a glimpse at how AR technology can empower manufacturing.The company is currently piloting the use of AR glasses at its jet enginemanufacturing facility in Cincinnati. Before using these smart glasses, jet engineensure tasks were being performed correctly.The contract manufacturer, which focuses on AM but also offers CNC machining andinjection molding. has production sites in Chicago, Singapore and at the UPSWorldport facility. This makes Fast Radius well-positioned to drive its vision of fast-turnaround and mass customisation of products with the help of advancedmanufacturing technologies.Ultimately, Industry 4.0 is set to take root across the manufacturing ecosystem. Butonly by understanding and hamessing the technologies driving Industry 4.0, willmanufacturers stay on the cutting edge of this new digital era.6. Digital TwinsThe concept of a digital twin holds great promise for optimizing the performance andmaintenance of industrial systems. Global research fim, Gartner, predicts that by2021, 50% of large industrial companies will be using digital twins to monitor andcontrol their assets and processes.A digital twin is a digital representation of a real-world product, machine, process, or system, that allows companies to betterunderstand, analyze and optimize their processes through real-time simulation. Whiledigital twins can be confused with simulation used in engineering, there is much moreSource: Extracted from Autonomous Mamıfacturing (AMFG) cmd Spotlight reports.

Accepted Answer

Industry 4.0 fathoms the turn of events and reconciliation of data and correspondence innovations…