A General State-Space Formulation for Online Scheduling
AbstractWe present a generalized state-space model formulation particularly motivated by an online scheduling perspective, which allows modeling (1) task-delays and unit breakdowns; (2) fractional delays and unit downtimes, when using discrete-time grid; (3) variable batch-sizes; (4) robust scheduling through the use of conservative yield estimates and processing times; (5) feedback on task-yield estimates before the task finishes; (6) task termination during its execution; (7) post-production storage of material in unit; and (8) unit capacity degradation and maintenance. Through these proposed generalizations, we enable a natural way to handle routinely encountered disturbances and a rich set of corresponding counter-decisions. Thereby, greatly simplifying and extending the possible application of mathematical programming based online scheduling solutions to diverse application settings. Finally, we demonstrate the effectiveness of this model on a case study from the field of bio-manufacturing. View Full-Text
A printed edition of this Special Issue is available here.
Share & Cite This Article
Gupta, D.; Maravelias, C.T. A General State-Space Formulation for Online Scheduling. Processes 2017, 5, 69.
Gupta D, Maravelias CT. A General State-Space Formulation for Online Scheduling. Processes. 2017; 5(4):69.Chicago/Turabian Style
Gupta, Dhruv; Maravelias, Christos T. 2017. "A General State-Space Formulation for Online Scheduling." Processes 5, no. 4: 69.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.