Abstract
The manufacturing industry tends to worldwide business operations due to the economic benefits of product design and distribution operations. The design and development of a manufacturing enterprise information system (EIS) involve different types of decision making at various levels of business control. This decision making is complex and requires real-time data collection from machines, business processes, and operating environments. Enterprise information systems are used to support data acquisition, communication, and all decision-making activities. Hence, information technology (IT) infrastructure for data acquisition and sharing affects the performance of an EIS significantly. The chapter highlights the advantages and disadvantages of an integrated internet of things (IoT) and blockchain technology on EIS in the modern manufacturing industry. Also, it presents a review of security-related issues in the context of an EIS consisting of IoT-based blockchain technology. Finally, the chapter discusses the future research directions.
TopIntroduction
Modern manufacturing has got a long history of evolution for several hundred years. The first industrial revolution began in the last part of the 18th century (Lukac, 2015). It symbolized production systems powered by water and steam, followed by the second industrial revolution, which started in the early part of the 20th century with the characteristics of mass labour deployment and manufacturing systems based on electrical power. The third industrial revolution began in the early part of the 1970s with automatic production or manufacturing based on electronics and computer data communication technology. The concept of Industry 4.0 was put forward for developing the German economy in 2011 (Roblek et al., 2016) (Vogel-Heuser & Hess, 2016). Industry 4.0 is characterized by cyber-physical systems (CPS) production based on heterogeneous data and knowledge integration. It is closely related to the Internet of Things (IoT), CPS, information and communication technology (ICT), enterprise information systems (EIS), and integration of EIS. This way, a new generation of CPS controls industrial manufacturing and supply chain management (SCM).
Moreover, because of changes in the economic, environmental, and business environments, the modern manufacturing industry appears to be riskier than ever before, which created a need for improving its supply chain privacy and security. These changes are for several reasons. First, the increasingly global economy produces and depends on people's free flow, goods, and information. Second, disasters have increased in number and intensity during the recent decades. Natural disasters such as earthquakes, floods, or pandemic (e.g., coronavirus) strike more often and have a more significant economic impact. Simultaneously, the number of human-made disasters such as industrial sabotage, wars, and terrorist attacks that affects manufacturing supply networks has increased (Colema, 2006). These factors have created significant challenges for manufacturers, the country, and the global economic condition. Manufacturers must also deploy continuous improvement in business processes, which improve supply chain activities execution and security enhancement.
Besides, today's manufacturing industry inclines worldwide business operations due to the socioeconomic advantage of the globalization of product design and development (Pal, 2020). For example, a typical apparel manufacturing network consists of organizations' sequence, facilities, functions, and activities to produce and develop an ultimate product or related services. The action starts with raw materials purchase from selective suppliers and products produced at one or more production facilities (Pal, 2019). Next, these products are moved to intermediate collection points (e.g., warehouse, distribution centers) to store temporarily to move to the next stage of the manufacturing network and finally deliver the products to intermediate storages or retailers or customers (Pal, 2017) (Pal, 2018).
This way, global manufacturing networks are becoming increasingly complicated due to a growing need for inter-organizational and intra-organizational connectedness that enabled by advances in modern Information technologies (e.g., RFID, Internet of Things, Blockchain, Service-Oriented Computing, Big Data Analytics) (Okorie et al., 2017) and tightly coupled business processes. Also, the manufacturing business networks use information systems to monitor operational activities in a nearly real-time situation.
The digitalization of business activities attracts attention from manufacturing network management purpose, improves communication, collaboration, and enhances trust within business partners due to real-time information sharing and better business process integration. However, the above new technologies come with different types of disruptions to operations and ultimate productivity. For example, some of the operational disruptions are malicious threats that hinder the safety of goods, services, and customers' trust to do business with the manufacturing companies.
Key Terms in this Chapter
Cryptography: Blockchain’s transactions achieve validity, trust, and finality based on cryptographic proofs and underlying mathematical computations between various trading partners.
Decentralized Computing Infrastructure: These computing infrastructures feature computing nodes that can make independent processing and computational decisions irrespective of what other peer computing nodes may decide.
Provenance: In a blockchain ledger, provenance is a way to trace the origin of every transaction such that there is no dispute about the origin and sequence of the transactions in the ledger.
Internet of Things (IoT): The internet of things (IoT), also called the internet of everything or the, is now a technology paradigm envisioned as a global network of machines and devices capable of interacting with each other. The IoT is recognized as one of the most important areas of future technology and is gaining vast attention from a wide range of industries.
Block: A block is a data structure used to communicate incremental changes to the local state of a node. It consists of a list of transactions, a reference to a previous block and a nonce.
Blockchain: In simple, a blockchain is just a data structure that can be shared by different users using computing data communication network (e.g., peer-to-peer or P2P). Blockchain is a distributed data structure comprising a chain of blocks. It can act as a global ledger that maintains records of all transactions on a blockchain network. The transactions are time-stamped and bundled into blocks where each block is identified by its cryptographic hash .
Immutability: This term refers to the fact that blockchain transactions cannot be deleted or altered.
Warehouse: A warehouse can also be called a storage area, and it is a commercial building where raw materials or goods are stored by suppliers, exporters, manufacturers, or wholesalers, they are constructed and equipped with tools according to special standards depending on the purpose of their use.
Supply Chain Management: A supply chain consists of a network of key business processes and facilities, involving end-users and suppliers that provide products, services, and information.