Continuous Production Scheduling MILP Formulations Using Record Keeping Variables

Continuous Production Scheduling MILP Formulations Using Record Keeping Variables

Most solution methods for mixed-integer linear programming (MILP) production scheduling models have been developed for batch processes. In this paper, we employ integer variables, referred to as record keeping variables (RKVs), into discrete-time continuous production scheduling MILP models that fac...

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Bibliographic Details
Main Author: Amin Samadi (20174469) (author)
Other Authors: Christos T. Maravelias (206037) (author)
Published: 2024
Subjects:
Genetics
Physiology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
production scheduling models
integer linear programming
analyze system attributes
implementing branching priorities
facilitate efficient branching
explore branching priorities
computational results show
additional computational enhancements
record keeping variables
employ integer variables
significant computational improvements
specific rkvs leads
computational improvements
prioritizing branching
binary variables
unit utilization
substantial reductions
solution time
solution methods
rkvs ),
proposed reformulations
batch processes
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