Setup-optimised Dispatching At Work Systems With Pallet Changers

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Mütze, A.; Lebbing, S.: Setup-optimised Dispatching At Work Systems With Pallet Changers. In: Journal of Production Systems and Logistics 3 (2023), 2. DOI: https://doi.org/10.15488/13250

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Sum total of downloads: 194




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Abstract: 
Setup-optimised dispatching at work systems is the subject of many investigations and studies. The considerations range from developing corresponding heuristics and analysing their effects on achieving logistical objectives to practice-oriented models for estimating the impact of a specific dispatching procedure. However, despite a large number of investigations, there is still a lack of methods that consider the special characteristics of work systems with so-called pallet changers to increase the desired productivity of the machines in the best possible way. Thus, existing approaches do not consider that, in contrast to conventional work systems, a large part of the setup efforts are carried out externally, i.e., parallel with the main processing time, and focus the directly preceding (internal) setup activity at the work system. Therefore, this paper presents a simple heuristic approach that considers the specifics of work systems with pallet changers. To show the power of the invented Pallet Changer Sequence Optimising (PSCO) rule, it is compared with an adaptation of the Minimum Marginal Setup Time (MMS) rule and the First Come First-Served (FCFS) rule. Using the tool of simulation, it is demonstrated that the developed rule clearly outperforms the MMS rule both in the area of productivity and the area of deviation of throughput times as a measure of the scheduling behaviour of the work system. The contribution thus represents a starting point for further research and optimisation of heuristics for complex machines (like CNC milling machines). It provides essential findings for practice since productivity losses on these comparatively very capital-intensive machines are particularly significant for cost-effective production.
License of this version: CC BY 3.0 DE
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Volume 3 (2023)
Volume 3 (2023)

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pos. country downloads
total perc.
1 image of flag of Germany Germany 90 46.39%
2 image of flag of Romania Romania 35 18.04%
3 image of flag of United States United States 17 8.76%
4 image of flag of Vietnam Vietnam 7 3.61%
5 image of flag of United Kingdom United Kingdom 4 2.06%
6 image of flag of Austria Austria 4 2.06%
7 image of flag of Russian Federation Russian Federation 3 1.55%
8 image of flag of Israel Israel 3 1.55%
9 image of flag of France France 3 1.55%
10 image of flag of Canada Canada 3 1.55%
    other countries 25 12.89%

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