DocumentCode
2303128
Title
Relation matrices for automated MILP modeling of scheduling problems using temporal constraints
Author
Fröhlich, Ralf ; Steneberg, Steffen C.
Author_Institution
Inst. of Autom., Hamburg Univ. of Technol., Hamburg, Germany
fYear
2010
fDate
21-24 Aug. 2010
Firstpage
69
Lastpage
74
Abstract
This paper addresses the forming of Mixed Integer Linear Programming (MILP) models for factory scheduling. Relation Matrices using Allen´s temporal relations for qualitative relations between the single operations of each job are developed. Extensions of the basic temporal relations are introduced to model resource constraints for different shops. The MILP model is automatically developed out of the basic information about the duration and the sequence of the operations forming each job and the relations between these operations. For validation purposes the results for standard shop models as Flow Shop or Robotic Cycle Shop are presented as well as for a more complex Filling Shop involving loops in the process sequence as well as buffers.
Keywords
flow shop scheduling; integer programming; linear programming; matrix algebra; Allen temporal relation; automated MILP modeling; factory scheduling problem; flow shop; mixed integer linear programming; relation matrices; robotic cycle shop; temporal constraint; Barium; Ducts; Gallium nitride; Allen´s temporal relations; Factory Scheduling; automated MILP model generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2010 IEEE Conference on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-5447-1
Type
conf
DOI
10.1109/COASE.2010.5584085
Filename
5584085
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