MATEC Web Conf.
Volume 343, 202110th International Conference on Manufacturing Science and Education – MSE 2021
|Number of page(s)||12|
|Section||Quality Engineering and Management|
|Published online||04 August 2021|
An Overview of the Production Capacity and Operational Optimization in the Framework of Industry 4.0
Continental Teves AG, Department of Strategy and Business Development, Guerickestraße 7, 60488 Frankfurt am Main, Germany
2 Duesseldorf University of Applied Sciences, Faculty of Mechanical and Process Engineering, FliX research Center for Life Cycle Excellence, Muensterstrasse 176, 40476 Duesseldorf, Germany
3 Politehnica University of Timisoara, Faculty of Management in Production and Transportation, 14 Remus str., 300191 Timisoara, Romania
* Corresponding author: email@example.com
Dynamic and volatile markets, triggered by increasing competition, rising product variety and many more factors, lead to a series of reactions: An increasing product complexity (e.g. a higher number of software components) shorter life cycles, faster development cycles and the call for a prompt market readiness. This has immense repercussions on the value chain and on the manufacturing sites. Additionally, it leads to interactions between product features and the production environment, which includes development, production, quality management, supply chain management and all other related disciplines.As an example, the average development time decreased within the last 20 years up to 20 % (impact on research and development), while the product complexity steadily increased (impact on the product features). Until recently, activities based on information and communication technology (ICT) to address these profound challenges have been referred to as “Digitalization”. However, to counteract the afore mentioned challenges in a more target-oriented manner, the German government introduced the strategic initiative ‘Industry 4.0’. It is crucial for companies to primarily perceive the options and content of Industry 4.0 for potential transformation from machine dominant production to digital manufacturing.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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