Maths for the Digital Factory

Industry 4.0, the 4th industrial revolution, smart manufacturing, digital factories, etc. are some of the phrases being used today to describe a series of game-changing innovations that are changing the way products are manufactured for ever. Industrial mathematics is at the heart of these innovations. This collection highlights various contributions of mathematical modelling, simulation and optimization (MSO) to digital manufacturing.

Edited by:

Dietmar Hömberg, Joachim Linn, James Gleeson

Uncertainty quantification with risk measures in production planning

This paper is concerned with a simulation study for a stochastic production network model, where the capacities of machines may change randomly. We introduce performance measures motivated by risk measures fro...

Authors: Simone Göttlich and Stephan Knapp

Citation: Journal of Mathematics in Industry 2020 10:5

Content type: Research Published on: 18 February 2020
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Simulation and multi-objective optimization to improve the final shape and process efficiency of a laser-based material accumulation process

Common goals of modern production processes are precision and efficiency. Typically, they are conflicting and cannot be optimized at the same time. Multi-objective optimization methods are able to compute a se...

Authors: Eberhard Bänsch, Andreas Luttmann, Jonathan Montalvo-Urquizo, Alfred Schmidt and Maria G. Villarreal-Marroquín

Citation: Journal of Mathematics in Industry 2020 10:2

Content type: Research Published on: 31 January 2020
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Maths for the Digital Factory

Uncertainty quantification with risk measures in production planning

Simulation and multi-objective optimization to improve the final shape and process efficiency of a laser-based material accumulation process