Switching Dispatching Rules with Gaussian Processes

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Decentralized scheduling with dispatching rules is applied in many fields of production and logistics, especially in highly complex manufacturing systems, e.g. semiconductor manufacturing. Nevertheless, no dispatching rule outperforms other rules across various objectives, scenarios and system conditions. In this paper we present an approach to dynamically select the most suitable rule for the current system conditions in real time. We calculate Gaussian process (GP) regression models to estimate each rule’s performance and select the most promising one. The data needed to create these models is gained by a few preliminary simulation runs of the selected job shop scenario from the literature. The approach to use global information to create the Gaussian process models leads to better local decision at the machine level. Using a dynamic job shop scenario we demonstrate, that our approach is capable of significantly reducing the mean tardiness of jobs.
Original languageEnglish
Title of host publicationRobust Manufacturing Control : Proceedings of the CIRP Sponsored Conference RoMaC 2012
EditorsKatja Windt
Number of pages13
PublisherSpringer Verlag
Publication date2013
Pages91-103
ISBN (print)978-3-642-30748-5
ISBN (electronic)978-3-642-30749-2
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventConference on Robust Manufacturing Control - RoMaC 2012: Innovative and Interdisciplinary Approaches for Global Networks - Jacobs University, Bremen, Bremen, Germany
Duration: 18.06.201220.06.2012
https://www.springer.com/de/book/9783642307485

Bibliographical note

Publisher Copyright:
© 2013, Springer-Verlag Berlin Heidelberg.

    Research areas

  • Engineering - Simulation, Gaussian process regression, Scheduling, Dispatching rules

Recently viewed

Publications

  1. An analytical approach to evaluating nonmonotonic functions of fuzzy numbers
  2. An analytical approach to evaluating bivariate functions of fuzzy numbers with one local extremum
  3. Graphism and Flatness. The Line as Mediator between Time and Space, Intuition and Concept
  4. Distinguishing state variability from trait change in longitudinal data
  5. Gaussian processes for dispatching rule selection in production scheduling
  6. Sliding-Mode-Based Input-Output Linearization of a Peltier Element for Ice Clamping Using a State and Disturbance Observer
  7. Top-down contingent attentional capture during feed-forward visual processing
  8. Dimension estimates for certain sets of infinite complex continued fractions
  9. Evaluating a Bayesian Student Model of Decimal Misconceptions
  10. Sensor concept for solving the direct kinematics problem of the Stewart-Gough platform
  11. An Integrative Framework of Environmental Management Accounting
  12. Integrating Common Ground and Informativeness in Pragmatic Word Learning
  13. Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve
  14. Beyond Path Dependency
  15. Simulation and optimization of material and energy flow systems
  16. Duration of Organizational Decision Processes in Organizations in View of Simulation Calculations
  17. Comparison of three methods of length compensation in a parallel kinematic and their equivalence conditions
  18. Validation of Inspection Frameworks and Methods
  19. Multiscale solutions of the electromagnetic continuity differential equation using packets of harmonic wavelets
  20. Robustness of coherent sets computations
  21. Nonlinear anisotropic boundary value problems – regularity results and multiscale discretizations
  22. A toolkit for robust risk assessment using F-divergences
  23. An approach for dynamic triangulation using servomotors