%0 Conference Proceedings
%T Dynamic Bottleneck Starvation Control
%+ Otto-von-Guericke-Universität Magdeburg = Otto-von-Guericke University [Magdeburg] (OVGU)
%+ Independent Consultant
%A Wagenhaus, Gerd
%A Gürke, Niels
%A Kurt, Werner
%A Bergmann, Ulf
%Z Part 11: Regular Session: Simulation and Optimization of Systems Performances
%< avec comité de lecture
%@ 978-3-030-85913-8
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%3 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
%V AICT-634
%N Part V
%P 544-552
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85914-5_58
%K Production system control
%K Bottleneck
%K Solution approach
%K Practical application
%K Industrial case
%Z Computer Science [cs]Conference papers
%X Choosing the most fitting manufacturing principle largely depends on the technical divisibility of jobs and the quantity to be produced. In most cases, a high quantity causes a higher degree of automation. What to do, however, if the production programme is evolving into various product modifications in the long run, thus developing from monolithic flow lines to a quasi-continuous batch production by means of bottleneck machines?Classic push-controlled routines are failing here, since the batchwise manufacturing in combination with performance-reducing parameters within production systems will cause discontinuous outputs that are difficult to control and, moreover, feature an increased creation of work in process (WIP).This problem is intensified by a combined influence of necessary setup activities, which often lead to sporadic machine failures. As a matter of fact, this invariably causes a dramatic delay in delivery times, not least because of the extension of the throughput times.In this paper, we will introduce a manufacturing control that is based on dynamic WIP-oriented bottleneck planning, which will allow to maintain the automatically regulated output optimum by means of a self-controlling system.
%G English
%Z TC 5
%Z WG 5,7
%2 https://inria.hal.science/hal-03897882/document
%2 https://inria.hal.science/hal-03897882/file/520762_1_En_58_Chapter.pdf
%L hal-03897882
%U https://inria.hal.science/hal-03897882
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-634