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Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems
Technical Paper
2023-01-0997
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Event:
2023 AeroTech
Language:
English
Abstract
Aerospace manufacturing is improving its productivity and growth by expanding its
capacity for production by investing in new tools and more equipment to provide
additional capacity and flexibility in the face of widespread supply disruptions
and unpredictable demand. However, the cost of such measures can result in
increased unit costs. Alternatively, productivity and quality can be improved by
utilizing available resources better to reach optimal performance and react to
emerging disruptions and changes. Elastic Manufacturing is a new paradigm that
aims to change the response behavior of firms to meet sudden market demands
based on automated analysis of the utilization of the available resources, and
autonomous allocation of capacity to use resources in the most efficient manner.
Through digitalization of the shopfloor, streaming data from equipment enables
companies to identify areas for improvement and boost the efficiency without
large capital expenditure. Additionally, the impact of supply chain disruptions
can be reduced through demand forecasting, inventory optimization, early warning
systems, and flexible reallocation of resources; all of which could be managed
elastically through integrated data collection in the supply chain. This paper
describes how smart factories with more flexibility and resilience can be
achieved with semantically-enhanced quality analytics, maintenance solutions,
and automated key performance indicator monitoring. An example of measuring the
capacity utilization rate, by following the measurement of multiple KPIs from a
shopfloor level using data from a real aerospace project is demonstrated showing
the significance of monitored process performance.
Authors
- Basem Elshafei - University of Nottingham, Institute for Advanced Manufacturi
- Fan Mo - University of Nottingham, Institute for Advanced Manufacturi
- Jack C. Chaplin - University of Nottingham, Institute for Advanced Manufacturi
- Giovanna Martinez Arellano - University of Nottingham, Institute for Advanced Manufacturi
- Svetan Ratchev - University of Nottingham, Institute for Advanced Manufacturi
Topic
Citation
Elshafei, B., Mo, F., Chaplin, J., Arellano, G. et al., "Capacity Modelling and Measurement for Smart Elastic Manufacturing Systems," SAE Technical Paper 2023-01-0997, 2023, https://doi.org/10.4271/2023-01-0997.Also In
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