A state-of-the-art survey on multi-scenario scheduling

Dvir Shabtay, Miri Gilenson

Research output: Contribution to journalReview articlepeer-review


In classical deterministic scheduling models, it is common to assume that each of the parameters has only a single predefined value. However, in many applications this is not the case, and there is a certain level of uncertainty in the values of the parameters. The multi-scenario approach is one of the most common approaches to model uncertainty. In this approach, each scenario defines a different possible realization of the parameters and the scheduler has to decide upon the exact schedule prior to knowing the exact scenario realization. Different scenarios may arise for a large number of reasons, such as: (i) the assignment of different workers to the processing operations, where the identity of the worker is beyond the scheduler's control; (ii) unpredictable changes in weather conditions; or (iii) a possible strike at the port, which may affect job release dates. The purpose of this paper is to offer a unified framework for scheduling in a multi-scenario environment by presenting an up-to-date survey of results in this field. We also included some new results, presented here for the first time, and suggest many challenges for future research.

Original languageAmerican English
JournalEuropean Journal of Operational Research
StateAccepted/In press - 1 Jan 2023


  • Complexity
  • Multi-criteria optimization
  • Multi-scenario
  • Robust scheduling
  • Scheduling under uncertainty

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • General Computer Science
  • Industrial and Manufacturing Engineering
  • Modelling and Simulation
  • Management Science and Operations Research


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