Towards the Adoption of Industry 4.0 Technologies in the Digitalization of Manufacturing Supply Chain

© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the Creative Commons Attribution-NonCommercial-NoDerivatives CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/The study used multiple case studies to explore the findings from literature review on adoption of industry 4.0 technologies in manufacturing supply chains. It displays a digitalized supply chain as one of the best options for optimization of manufacturing companies processes and provides insights and some guidance on the industry 4.0 technologies for manufacturing companies to prioritize when starting the digitalization journey; to improve decision making, maximize efficiency and minimize costs. The main objective of the study is to explore various industry 4.0 technologies used in manufacturing supply chains and two propositions were suggested based on the three case companies investigated. The digitalization of manufacturing supply chains has an overall positive impact on how the supply chains operates and improves productivity and growth. It was concluded that industry 4.0 technologies are valuable tools from a managerial perspective, because they provide better process visibility and tracking of requisitions, improved efficiency, optimization of resources, easy to use templates, improved access to ordering data and reporting, improved decision making, and the supply chains are more autonomous.Peer reviewe

Evaluation of (De-)Centralized IT technologies in the fields of Cyber-Physical Production Systems

In the course of the digital transformation, organizations are not only facing increasing volatility of the markets, but also increasing customer requirements and thus an increasing complexity in production and logistics systems. Therefore, production plants need to become more flexible by transforming conventional production systems to Cyber-physical Production Systems (CPPS). CPPS allow organizations to dynamically react to fluctuations in demand and markets and to introduce new product lines quickly and effectively. The challenge in implementing CPPS is to handle and store relevant data streams between Cyber-physical objects in a secure but transparent way. As CPPS involve a high level of decentralization, the data storage can either be combined with centralized IT-solutions like a Cloud or utilize decentralized IT-technologies like Edge Computing or Distributed Ledger Technologies (DLT) like Blockchains. The paper addresses the suitability of centralized and decentralized technologies in terms of dealing with data streams in the fields of CPPS. For this purpose, based on a paper exploration, appropriate evaluation criteria are derived, followed by a comparison of exemplary centralized and decentralized technologies. The outcome is a qualitative evaluation of the supplement of each technology regarding its suitability of dealing with data streams

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

Understanding blockchain applications in Industry 4.0: From information technology to manufacturing and operations management

The current literature regarding blockchain-based applications in the context of Industry 4.0 has rapidly grown during the last decade. However, a systematic literature review that summarizes the main contributions, findings, and implications from a managerial perspective of the blockchain technology adoption in the specific context of Industry 4.0 is still missing. The present article aims to fill this research gap by examining and elaborating on the extant literature to develop a literature-grounded framework (WHY-HOW-WHAT) that helps better understand the management issues that blockchain technology can help resolve in the context of Industry 4.0, as well as identify the main features of blockchain-based solutions in various areas of Industry 4.0. Furthermore, the proposed framework is useful to understand how ten Industry 4.0 enabling technologies combine with the blockchain technology to implement efficient and effective blockchain-based solutions in Industry 4.0 settings. Finally, based on this framework we conjecture the trajectories of the evolution of blockchain technology in Industry 4.0 settings, and highlight the relevant research gaps that both academics and practitioners working on this field should address in the near future