process industry

Functional Safety and Cyber Security in the Process Industry

Functional Safety and Cyber Security in the Process Industry

A tension between stability and agility
Thimmo Kugele, Claudia Nowak, Arno Götz, Alexander Lawall ORCID Icon
Functional safety (safety) and cyber security (security) are key aspects of modern industry and technology. Safety aims to minimize risks posed by system malfunctions. This includes measures to protect people and the environment from failures and errors within systems. Security focuses on protecting systems and networks from digital attacks. The primary security objectives include ensuring confidentiality, integrity, and availability. A joint consideration of safety and security is essential for the future of the process industry, as both the physical safety and digital integrity of modern systems must be ensured. In industrial practice, this creates a field of tension: measures to enhance security can negatively impact safety and vice versa. This article analyzes relevant standards and regulations, presents key approaches for the integrated consideration of safety and security, and highlights areas of further research.
Industry 4.0 Science | Volume 41 | 2025 | Edition 2 | Pages 87-93
Levelling Production in the Process Industry

Levelling Production in the Process Industry

An Innovative Concept
Christopher Borgmann, Carsten Feldmann, Linus Hahn
There is a variety of empirically validated methods for implementing pull-systems in the manufacturing industry, but pull-based replenishment for the process industry remains a research gap. This article describes the development of a model for implementing a pull-system for an intracompany production network in the process industry and its validation in a case company.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 5 | Pages 12-16
Assistance Systems Designed for Supportive Learning

Assistance Systems Designed for Supportive Learning

An Approach for Maintenance in the Field of Process Industry
Tina Haase, Wilhelm Termath, Alinde Keller, Dirk Berndt
Maintenance activities require a high degree of problem solving capacity from the specialists in order to be able to successfully carry out troubleshooting tasks. The expertise of the specialists is based in particular on the successful use of knowledge in problem solving situations [2]. Assistance systems should therefore support the specialist in the learning or reflection process and offer the opportunity to use the experience gained from previous measures for the current problem solution. The present paper describes an approach to the development of assistance systems for learning.
Industrie 4.0 Management | Volume 33 | 2017 | Edition 3 | Pages 16-20