The Fourth International Workshop on Dynamic Scheduling Problems

June 20-21, 2022, Winterthur, Switzerland

About the workshop

  • With regret we inform that in view of insufficient number of highly scored submissions the IWDSP 2022 workshop will not be held on June 21st-22nd, 2022, as planned earlier. Therefore, for the sake of appropriate scientific level of the event, the Program Committee of the workshop has decided to postpone the workshop and move it to 2023. Details concerning IWDSP 2023 will be announced at the beginning of the coming academic year.
  • The IWDSP 2022 workshop is the fourth event in the series started with IWDSP 2016, IWDSP 2018 and IWDSP 2021.
  • The workshop is organized by Algorithmics Research Unit, the Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznań, Poland, and ZHAW Institute of Data Analysis and Process Design, Zurich University of Applied Sciences, Winterthur, Switzerland.
  • The aim of the workshop is to present recent research results on dynamic scheduling problems, in which job processing times, machine speeds or other parameters of the problems are variable and dynamically change in time.
  • Main topics related to the workshop scope are
    • scheduling with variable job processing times (controllable job processing times, time-dependent job processing times, position-dependent job processing times, resource-dependent job processing times, discrete-continuous scheduling, malleable task scheduling, scheduling pliable jobs),
    • scheduling with various factors affecting job execution (ageing, alteration, deterioration, learning, shortening),
    • scheduling on variable speed machines (energy-efficient scheduling, scheduling under time-of-use electricity tariffs, scheduling with rate-modifying activities, scheduling with maintenance activities),
    • scheduling problems with constraints on processing speed or machine availability (scheduling with rate-modifying activities, scheduling on machines with non-availability periods of variable length),
    • scheduling under uncertainty (robust scheduling, stochastic scheduling, scheduling with explorable uncertainty),
    • scheduling with a partial, changing in time, data on jobs or machines (online scheduling, semi-online scheduling),
    • other scheduling problems with job or machine parameters changing in time.
  • Topics not mentioned above are not excluded, however potential authors are asked to contact the Program Committee via e-mail to address