Effects of Arrival Uncertainty on Solver Performance in Dynamic Stacking Problems

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Abstract

In this paper, we present a dynamic stacking problem with uncertainty. We developed a simulation environment, an optimizer for solving it, and performance measures to determine the success of the optimizer. The problem requires handling incoming blocks, stacking them efficiently, and meeting deadlines for delivery, while not knowing exactly when blocks will arrive or when they will be ready for delivery. The optimizer models the problem as a dynamic Block Relocation Problem and solves it using a branch&bound based heuristic. The simulation and optimizer run concurrently and the distribution of random variables is not disclosed to the solver and must, therefore, be estimated. We study the influence of uncertainty on the solver and show that the degree of uncertainty has a significant impact on the performance of the overall system. We also experiment with different measures to estimate uncertain arrival times and show that the choice of measure is important for achieving good performance.
Original languageEnglish
Title of host publication32nd European Modeling and Simulation Symposium, EMSS 2020
EditorsMichael Affenzeller, Agostino G. Bruzzone, Francesco Longo, Antonella Petrillo
Pages193-200
Number of pages8
ISBN (Electronic)9788885741454
DOIs
Publication statusPublished - 2020
EventThe 32th European Modeling & Simulation Symposium EMSS 2020, Online - Online, Greece
Duration: 16 Sep 202018 Sep 2020
http://www.msc-les.org/conf/emss2020/

Publication series

Name32nd European Modeling and Simulation Symposium, EMSS 2020

Conference

ConferenceThe 32th European Modeling & Simulation Symposium EMSS 2020, Online
Country/TerritoryGreece
CityOnline
Period16.09.202018.09.2020
Internet address

Keywords

  • Dynamische Optimierung
  • Stapelungs Optimierung
  • Unsicherheit
  • Uncertainty
  • Stacking
  • Dynamic optimization problem

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