Science and Technology Production
Book Chapter
Authorship
C.A. Méndez
;
G.P. Henning
;
J. Cerdá
Date
2000
Publishing House and Editing Place
Elsevier
Book
Computer-Aided Chemical Engineering, 8
(pp. 1045-1050)
Elsevier
Elsevier
ISBN
0-444-50520-2
Summary
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This work presents a new MILP mathematical formulation for the resource-constrained short term scheduling of flowshop batch facilities with a known topology and limited supplies of discrete resources. The proposed MILP approach is based on a continuous time domain representation and accounts for sequence-dependent setups. Assignment and sequencing decisions are independently handled through separate sets of binary variables. In addition, a proper formulation of the sequencing constraints provid...
This work presents a new MILP mathematical formulation for the resource-constrained short term scheduling of flowshop batch facilities with a known topology and limited supplies of discrete resources. The proposed MILP approach is based on a continuous time domain representation and accounts for sequence-dependent setups. Assignment and sequencing decisions are independently handled through separate sets of binary variables. In addition, a proper formulation of the sequencing constraints provides a substantial saving in the number of sequencing variables and constraints. By postulating a pair of conditions for the simultaneous execution of processing tasks, rather simple resource constraints requiring a few extra binary variables are also derived. The proposed approach shows a remarkable computational efficiency when applied to industrial applications.
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Key Words
SchedulingMILP model