Digital Supply Chain and Logistics with IoT: Practical Guide, Methods, Tools and Use Cases for Industry (Management for Professionals)

✍ Scribed by Andreas Holtschulte

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 253
• Category: Library

✦ Synopsis

The concepts for Industry 4.0 and the Industrial Internet of Things (IIoT) will fundamentally change supply chains, production processes and industries. Intelligent technologies such as IoT, edge and cloud computing, big data, artificial intelligence and digital assistance systems are drivers of this change. This book provides a comprehensive overview of IoT use cases with illustrative practical examples of how digitization or innovation projects can be successfully implemented. It takes into consideration that processes are getting more flexible and efficient, and new digital technologies allow seamless, location-independent communication in near real time between things, processes and people through the digitization of physical objects and processes. Considering these changes, the book provides a guideline on how companies should position themselves for the future with industrial IoT in order to still play a decisive role in the industry in a few years' time. The book is aimed at both decision-makers and practitioners who, on the one hand, recognize the opportunities and possibilities for their company and, on the other hand, want to learn how to use the appropriate technologies. With this in mind it will be valuable for entrepreneurs, managers, architects and also developers in the field of Industry 4.0.

✦ Table of Contents

Contents
1: Connected Things: People, Machines, and Plants in the Internet of Things (IoT)
1.1 Things in the Cloud: What Is IoT?
1.2 How It All Began
1.2.1 The First Coffee Maker on the Net
1.2.2 Radio Technology as a Pioneer
1.2.3 The Four Industrial Revolutions
1.2.3.1 Machine Age-Industry 1.0
1.2.3.2 Industrialization-Industry 2.0
1.2.3.3 Digital Age-Industry 3.0
Are Digitalization, Automation, and the Use of Machines Modern Job Destroyers?
1.2.3.4 Digital Transformation-Industry 4.0
1.3 Examples of IoT Applications
1.3.1 Use Cases from the Consumer Sector
When the Smart Home Seems to Go Crazy
1.3.2 Use Cases in the Industrial Sector
1.4 Potentials and Developments in the IoT Environment
1.4.1 Where Does IoT Stand in Germany?
1.4.2 What Do the Numbers Say?
References
2: Blueprint for IoT Systems
Box 2.1
Box 2.2
2.1 IoT Components and Terminology
2.1.1 Sensors and Actuators
2.1.2 Hot, Warm, and Cold Storage
Box 2.3
2.1.3 Digital Twin
Example: Driverless Transport Vehicle in Intralogistics
Example: Simulation of an Automated Warehouse Before Construction
2.1.4 DevOps
2.2 Features and Requirements According to ISO 30141
2.2.1 Security of IoT Systems (Standard Sect. 7.2)
Example: Control of Cooling in the Warehouse
2.2.2 Architecture Requirements of IoT Systems (Standard Sect. 7.3)
Example: Replacement of a Thermostat on the Pipeline
Example: Condition Monitoring of an ISO Container in Container Handling and at Sea
Example: Expansion of Production Facilities
Example: Real-Time Track and Trace
Example: Internet Protocol Changeover from IPv4 to IPv6
Example: Sensors for Light Control and for Reporting Burglaries
2.2.3 Functions of IoT Systems (Standard Sect. 7.4)
Definition of Accuracy
Example: Automatic Image Processing by Sensors
Example: Precise Placement at the Storage Location by Industrial Robots
Example: Hazardous Material Storage
Example: Aggregated Data Characteristics from Logistics
Example: Flexibility in the Use of a Thermostat
Example: Managing Hard-to-Reach Components Remotely
Types of Network
Example: Short-Range Networks in Production
Example: Monitoring Mechanisms in the Chemical Industry
Rule of Thumb for Pricing IoT Services
2.3 Architecture of IoT Systems According to ISO 30141
2.3.1 IoT Conceptual Model
Example: Identification of a Pallet at Goods Receipt (Software Application)
Ensure Software Security
2.3.2 IoT Reference Model
2.3.3 IoT Reference Architecture
3: IoT Platforms
3.1 IoT Without Internet
3.1.1 Edge Computing
3.1.2 Fog Computing
3.2 Cloud Computing
3.2.1 Software as a Service (SaaS)
3.2.2 Infrastructure as a Service (IaaS)
3.2.3 Platform as a Service (PaaS)
3.3 The Internet of Things-A Growing Market
3.3.1 IoT Providers in Competition
3.3.2 IIoT as a Separate Market Segment
3.4 Selection Criteria for IoT Platforms
3.4.1 Fraunhofer Study as a Decision-Making Aid
3.4.2 Integrated Versus Separate Sensors
3.4.3 Data and IT Security
3.5 Multicloud Strategies
References
4: IoT and Enterprise Software
4.1 General Tips for Software Acquisition
4.2 Enterprise Resource Planning (ERP)
4.3 Warehouse Management System (WMS)
4.4 Transport Management System (TMS)
4.5 Manufacturing Execution System (MES)
References
5: Interaction of the IoT with Other Technologies
5.1 Big Data
5.2 Artificial Intelligence (AI)
5.3 Augmented Reality (AR) and Virtual Reality (VR)
5.4 3D Printing
References
6: Prepare IoT Projects Successfully
6.1 Design Thinking According to Rams
6.2 Design Thinking: Better than Brainstorming
6.2.1 Design Thinking Phases at a Glance
6.2.2 Tips for Successful Implementation
6.3 Reality Check for Use Cases
6.4 Partners and Support for IoT Projects
6.5 Buy New or Upgrade?
7: Use Cases for the Internet of Things
7.1 Driverless Transport Vehicles in Production and Logistics
7.1.1 Initial Situation
7.1.2 AGV Control Station: Brand Self-Made in the Cloud
7.1.3 Success Through Simplification
Practical Example
7.1.4 Architecture and Components
7.2 Container Management in Real Time
7.2.1 Problem
7.2.2 Solution Design with Design Thinking
Examples of User Stories
7.2.3 Solution
The Advantages of the Solution at a Glance
7.2.4 Architecture and Components
7.3 Corona Warning App
7.4 Track and Trace in Logistics and Production
7.4.1 The IoT in Intralogistics
7.4.2 Theft Monitoring in the Warehouse with the IoT
7.4.3 Tracking in Global Supply Chains
7.5 Intelligent Data Glasses in the Warehouse and in Production
7.6 Object Recognition with the IoT
7.7 Maintenance and Servicing in Production
Process Steps and Processes that the IoT System Must Support
7.8 The IoT Business Models in Mechanical Engineering
References
8: From Project to IoT Strategy
8.1 Implement Agile Projects
8.1.1 Scrum
8.1.2 Kanban
8.1.3 Rapid Prototyping and Minimal Viable Products
8.2 Building a Digital Business Model
8.3 Strategic Partnerships for IoT
8.4 Innovation and Transformation
References