Online scheduling: Understanding the impact of uncertainty

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


We present a framework to study quality of schedules obtained iteratively and online (real-time) in the presence of demand uncertainty. Using this framework, we carry out a computational study, and make interesting observations. First, we find that uncertainty plays a less important role as a manufacturing facility is operated close to capacity. Second, the choice of the horizon for the online iterations, is dependent on the mean load, but independent of the accuracy of the forecasts. Finally, feedback, in the form of re-optimization, plays a very important role in mitigating the impact of uncertainty. Thus, through the analysis presented in this work, we gain insights that are applicable to all general rescheduling approaches.

Original languageEnglish (US)
Pages (from-to)727-732
Number of pages6
Issue number1
StatePublished - 2019
Externally publishedYes
Event12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, DYCOPS 2019 - Florianopolis, Brazil
Duration: Apr 23 2019Apr 26 2019

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering


  • MPC
  • Mixed-integer programming
  • Operations
  • Rescheduling
  • Uncertainty


Dive into the research topics of 'Online scheduling: Understanding the impact of uncertainty'. Together they form a unique fingerprint.

Cite this