{"id":103486,"date":"2024-02-20T14:20:06","date_gmt":"2024-02-20T13:20:06","guid":{"rendered":"https:\/\/industry-science.com\/?page_id=103486"},"modified":"2024-05-14T04:53:19","modified_gmt":"2024-05-14T02:53:19","slug":"dynamics","status":"publish","type":"page","link":"https:\/\/industry-science.com\/en\/management\/dynamics\/","title":{"rendered":"Dynamics"},"content":{"rendered":"\n\n\n
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Industry 4.0\u2014Progress and Digitalization in Limbo<\/h4>\n
Status of sustainable transformation and digitalization in production engineering<\/div>
Christian Donhauser<\/a> \n \"ORCID<\/a>, Daniel Riepl<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>Digitalization projects help users represent complex processes more simply and efficiently. However, there are many obstacles to implementation. Reluctance to implement these projects is palpable. This affects, among others, employers and employees, who may fall behind economically by waiting or avoiding change. These observations can be traced back to an overarching research question: What barriers and systemic challenges hinder sustainable transformation within the context of Industry 4.0, particularly when considering human labor in production engineering? What questions are the affected stakeholders asking? The primary goal of this long-term research project is to define these questions decisively and in detail in order to develop a conceptual foundation that integrates research, teaching, and technological development and thus combines the potential of digital technologies with the experiential and practical knowledge of production workers. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 3 | Pages 56-60<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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Data Quality and Domain Expertise for Resilient AI Deployment<\/h4>\n
Integrating anomaly and label error detection in industry<\/div>
Pavlos Rath-Manakidis<\/a>, Henry Huick<\/a>, Erdi \u00dcnal<\/a>, Bj\u00f6rn Kr\u00e4mer<\/a> \n \"ORCID<\/a>, Laurenz Wiskott<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n AI implementation transforms work and worker-technology relationships in industrial quality control. This paper explores how approaches to data quality and model transparency support ethical AI deployment, fostering worker agency, trust, and sustainable work design in automatic surface inspection systems (ASIS). Recurring problems like data inefficiency, variable model confidence, and limited AI expertise point to key challenges of human-centered AI: user trust, agency and responsible data management. A solution co-developed with an ASIS supplier demonstrates that the challenges extend beyond the purely technical, underscoring the value of AI design that augments human capabilities. Technical solutions such as anomaly, label error, and domain drift detection are proposed to enhance data quality and model reliability. The insights emphasize the following generalizable strategies for resilient AI integration: understanding user-reported problems through a human-AI interaction lens, ... <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 42 | Edition 1 | Pages 128-135 | DOI 10.30844\/I4SE.26.1.120<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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Can Artificial Intelligence (AI) Act as an Enabler for Industry 4.0 (4IR)?<\/h4>\n
Impacts on the maturity level of Industry 4.0 technologies<\/div>
Dennis Richter<\/a>, Mildred Doe<\/a>, Steffen Kinkel<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
\n Artificial intelligence is often mentioned often mentioned in the same context as Industry 4.0, but the exact role of AI is unclear. Is AI just another 4IR technology or an essential \"enabler\" for other 4IR technologies? Six experts assess the impact of AI on 41 4IR technologies. AI could indeed be a decisive factor in unleashing the full potential of Industry 4.0. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 40 | 2024 | Edition 6 | Pages 80-87 | DOI 10.30844\/I4SE.24.6.80<\/a><\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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The Utopia of European Cybersecurity Certifications<\/h4>\n
Alexander Lawall<\/a> \n \"ORCID<\/a>, Jesus Luna Garcia<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>Interoperable automation can benefit cybersecurity certification processes that result from the EU Cybersecurity Act (e.g. EUCS) so that they represent less overhead for the stakeholders involved. The development of key standardization efforts involving relevant stakeholders (e.g. regulators) is needed to fully realize these benefits. EU projects like H2020 MEDINA, HEU COBALT and communities such as EUROSCAL are well on the way to achieving this goal. However, more practical experience is needed to make continuous certification with automation a reality. <\/div>\n <\/div>\n
Industry 4.0 Science<\/strong> | Volume 40 | 2024 | Edition 2 | Pages 48-55<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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On the Way to Energy Efficiency in Logistics Networks<\/h4>\n
State of the Integration of Energy-Related Objectives into the Simulation-Based Analysis<\/div>
Jan Cirullies<\/a>, Michael Toth<\/a>, Andreas Holtz<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>Globalization and the growing number of supply chain participants lead to increasing cargo transport service and, thus, to higher energy demand. Although energy prices increase at the same time, the energy balance of production networks remains unconsidered during in the network design phase. Hence, the research project E\u00b2Log analyzes how logistics networks and production environment can be coordinated in order to improve energy efficiency. In the first project phase, based on the supply chain for the production of the Volkswagen Amarok, the use case partners have derived simulation scenarios and enhanced a simulation tool to evaluate measures for the efficiency increase without ignoring classic logistic objectives soon. <\/div>\n <\/div>\n
Industrie Management<\/strong> | Volume 28 | 2012 | Edition 5 | Pages 20-24<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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Approximation and Robustness of Dynamic Production networks<\/h4>\n
Bernd Scholz-Reiter<\/a> \n \"ORCID<\/a>, Michael Kosmykov<\/a>, Thomas Makuschewitz<\/a>, Fabian Wirth<\/a>, Michael Sch\u00f6nlein<\/a>, Sergey Dashkovskiy<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>Global production networks connect partners with outstanding expertise, and make use of regional cost advantages for purchasing and production operations. This development leads to an increasing structural complexity of the networks, which is accompanied by a closer collaboration of dynamic logistics processes. Hence, the resulting dynamics of a large-scale production network is characterized by the dynamics of the individual logistics processes, the dynamics of the network structure and dynamics of the external processes that affect the production network. However, in practice a lack of adequate procedures for the analysis and design of these networks can be observed. The presented article addresses this need by introducing tools and methods for the approximation of large-scale production networks, analysis of their dynamics and the robust design of the network resources. <\/div>\n <\/div>\n
Industrie Management<\/strong> | Volume 28 | 2012 | Edition 4 | Pages 51-56<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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Sustainable Supply Chain Management<\/h4>\n
Assessment of the Sustainable Application of Logistic Concepts in Corporate Networks<\/div>
Jan Helmig<\/a>, Jerome Quick<\/a>, Henrik Wienholdt<\/a>, Kerem Oflazgil<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>Since the turn of the millennium companies are confronted with a tightly interwoven network consisting of changed framework conditions. Thus, for many companies it is necessary to form a network, together with a simultaneous securing of liquidity. Additionally, it is important to consider ecological values. The selection of adequate concepts in the supply chain management in combination with the right extent in logistic services poses a major challenge. However the dynamic assessment and selection of logistic concepts is quite possible. This article presents such an approach. <\/div>\n <\/div>\n
Industrie Management<\/strong> | Volume 26 | 2010 | Edition 5 | Pages 58-60<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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Dynamics in Production Processes<\/h4>\n
Identifikation logistikrelevanter struktureller Ver\u00e4nderungen<\/div>
Marco Kennemann<\/a>, Steffen C. Eickemeyer<\/a>, Eugen Schnurr<\/a>, Peter Nyhuis<\/a> \n \"ORCID<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>environment poses huge challenges to production enterprises, especially with regards to logistics. The Logistic Operating Curve Theory, developed at the Institute of Production Systems and Logistics (IFA), is a recognized approach to describing logistic interactions, nevertheless, it reaches its limits when it comes to the dynamic aspects. In order to facilitate a timely and optimal Logistic Positioning a method is developed for quickly and reliably identifying dynamic processing states. <\/div>\n <\/div>\n
Industrie Management<\/strong> | Volume 26 | 2010 | Edition 5 | Pages 19-22<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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Influencing the Dynamics of Job-Shop-Productions by Design<\/h4>\n
Bernd Scholz-Reiter<\/a> \n \"ORCID<\/a>, Christian Toonen<\/a>, Jan Topi Tervo<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>Job-shop-productions are facing high requirements due to the high diversity of manufactured products, changing lot-sizes and strongly cross-linked material flows. This situation is intensified by dynamic effects which are caused by non-linear dependences between the system\u2019s parameters. The complex dynamics can affect the logistic performance of the system by varying stock-levels, rising cycle times or decreasing capacity utilisation. This paper describes an approach to analyse the effects of the factory planning process on the system\u2019s dynamics, whereat the focus will be on the planning subtasks of dimensioning and structuring. This is expected to improve methods of design for job-shop-productions. <\/div>\n <\/div>\n
Industrie Management<\/strong> | Volume 25 | 2009 | Edition 3 | Pages 41-44<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n
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Analysis of Dynamics of Large-Scale Logistics Networks<\/h4>\n
Bernd Scholz-Reiter<\/a> \n \"ORCID<\/a>, Fabian Wirth<\/a>, Sergey Dashkovskiy<\/a>, Thomas Jagalski<\/a>, Thomas Makuschewitz<\/a><\/div>\n <\/td>\n <\/tr>\n <\/table>\n
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\n\t\t\t \n\t\t\t <\/div>Planning and control of logistics processes is more and more determined by an increasing complexity of structure of logistics networks and dynamics. However, in many aspects methods and tools for a comprehensive analysis of large-scale logistics networks are missing. This set of problems is the object of investigation in the new research project \u2018Stability, Robustness and Approximation of Dynamic Large-Scale Networks - Theory and Applications in Logistics Networks\u2019 founded by Volkswagen Foundation. The project will be run in a dual way: Mathematicians from the university of Bremen und the university of W\u00fcrzburg cooperate with researchers from the field of engineering of the university of Bremen. <\/div>\n <\/div>\n
Industrie Management<\/strong> | Volume 24 | 2008 | Edition 3 | Pages 37-40<\/div> <\/div>\n <\/div>\n <\/a>\n <\/div>\n<\/div>\n\n
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