Scheduling optimization in a refinery for vegetable oils

Scheduling optimization in a refinery for vegetable oils

Lekkerkerk, Kirsten (TU Delft Mechanical, Maritime and Materials Engineering; TU Delft Transport Engineering and Logistics)

Schulte, F. (mentor)
Schulte, F. (graduation committee)
Vernooy, Jons (mentor)
Vernooy, Jons (graduation committee)
Schott, D.L. (graduation committee)
Seyffert, Harleigh C. (graduation committee)

Delft University of Technology

Transport, Infrastructure and Logistics

2020-11-26

A mathematical model has been developed to determine the timing of the tasks that can be performed on a variety of units to produce a variety of end states and to monitor the flow of the material through the network. The mathematical model is based on the work of Kondili et al. (1993) and is extended with the ability to monitor and restrict the shelf-life of a state, the ability to implement a mandatory storage action with shared storage and the ability to implement batch-size dependent processing times for batch-sizes that can only take a certain value.

Mixed Integer Programming
Discrete time
Contamination
Maximum shelf-life
Mandatory storage
Batch-size dependent processing time
Limited equipment connectivity
Production order
Maximum storage time
Temporary unit unavailability
Shared storage
Network process topology
Unlimited intermediate storage
Variable equipment assignment
Zero wait storage policy
Instantaneous material transfer
Variable batch-size
Multiple product demand
Sequence- and product dependent changeover
Deterministic Optimization

http://resolver.tudelft.nl/uuid:208d07ec-a1bd-4530-97c9-70b0b21453f5

2022-11-26

51.80814, 4.64007

Student theses

master thesis

© 2020 Kirsten Lekkerkerk