adaptation

Applying Numerical Indices to Measure and Increase Resilience

Applying Numerical Indices to Measure and Increase Resilience

Approaches to analyzing resilience in supply chains
Saskia Sardesai ORCID Icon, Lucas Schreiber
An increased awareness of risks and rising incidents prompt companies to enhance the resilience of their supply chains. While various measures can be employed to increase resilience, a parallel consideration of a multitude of metrics is necessary to explicitly evaluate its impact on supply chain resilience. The paper presents approaches that facilitate the comparability of resilience across alternative supply chain designs by combining various metrics into a single numerical index. Additionally, innovative technologies are highlighted that can help to create resilient supply chains.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 45-49 | DOI 10.30844/IM_23-4_45-49
Towards Designing Adaptive and Personalized Work Systems in Manufacturing

Towards Designing Adaptive and Personalized Work Systems in Manufacturing

David Kostolani Institut für Managementwissenschaften, Sebastian Schlund ORCID Icon, Technische Universität Wien
Adaptation of work to humans instead of humans constantly adapting to work systems and work environments has been a goal of ergonomics since the 19th century. To date, an actual adaptation of work to the specific features, conditions and requirements of individual users has so far only taken place in rudimentary form. The possibilities have now opened up by the advances of Cyber Physical Production Systems (CPPS). This enables a renewed attempt to implement the goal of adapting work systems to workers. Integration of advanced sensory skills into work systems within manufacturing allows better recognition of the work environment and the actual state of the system. Together with actuator capabilities, it enables adaptive work systems to adjust their structure and behaviour to the anthropometric and the cognitive features and requirements of the systems’ users. However, a framework that integrates the concepts of adaptivity and personalization into the work system model and work system ...
Industry 4.0 Science | 2022 | | DOI 10.30844/WGAB_2022_5
Adaptive Exponential Smoothing of the First Order

Adaptive Exponential Smoothing of the First Order

Frank Herrmann
Customer demand for products and demand for materials to ensure material availability is often forecasted. The results are often used in the operative production planning and control. Exponential smoothing methods are widely used for this forecasting. To ensure high forecasting quality over time, the smoothing parameter has to be adapted over time. An automation is suggested and analyzed.
Industrie Management | Volume 28 | 2012 | Edition 2 | Pages 63-65