Systematic generation of alternative production schedules

Hojae Lee, Dhruv Gupta, Christos T. Maravelias

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We propose a systematic approach for generating alternative production schedules to address two challenges in implementing optimization-based scheduling techniques in industrial settings: (a) the limited scope of the scheduling models due to modeling simplifications, and (b) the consideration of shop-floor nervousness. We first introduce metrics to quantify specific characteristics of a schedule (e.g., number of batches and degree of nervousness). Next, we favor, at different degrees, such characteristics in each alternative schedule, by penalizing the metrics in the objective function. Through illustrative instances, we show that multiple alternative schedules, including schedules with desired properties can readily be generated.

Original languageEnglish (US)
Article numbere16926
JournalAIChE Journal
Volume66
Issue number5
DOIs
StatePublished - May 1 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Environmental Engineering
  • Chemical Engineering(all)

Keywords

  • mixed-integer programming
  • nervousness
  • online scheduling

Fingerprint

Dive into the research topics of 'Systematic generation of alternative production schedules'. Together they form a unique fingerprint.

Cite this