Premium
Systematic generation of alternative production schedules
Author(s) -
Lee Hojae,
Gupta Dhruv,
Maravelias Christos T.
Publication year - 2020
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.16926
Subject(s) - schedule , computer science , production schedule , scheduling (production processes) , scope (computer science) , production (economics) , operations research , industrial engineering , mathematical optimization , engineering , mathematics , economics , macroeconomics , programming language , operating system
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.