An MILP-based reordering algorithm for complex industrial scheduling and rescheduling

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: Roslof J, Harjunkoski I, Bjorkqvist J, Karlsson S, Westerlund T
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Publication year: 2001
Journal: Computers and Chemical Engineering
Journal acronym: COMPUT CHEM ENG
Volume number: 25
Issue number: 4-6
Start page: 821
End page: 828
Number of pages: 8
ISSN: 0098-1354


Abstract

The challenging structure as well as the extensive economical potential of solving various scheduling problems has fascinated numerous researchers during the recent decades. Despite the significant progress made in the fields, of operations research and process systems engineering (Puigjaner, Comp. Chem. Eng., 23 (1999): S929-S943; Shah, Proceedings of FOCAPO'98, Snowbird, Utah, USA, 1998) the complexity of many industrial-size scheduling problems means that a global optimal solution cannot be reached within a reasonable computational time. In these cases, the production schedule must be generated using e.g. some kind of sophisticated heuristics, which can often lead to suboptimal solutions. In this paper, we introduce a Mixed Integer Linear Programming (MILP) based algorithm, which can be efficiently used to improve an existing feasible, but non-optimal, production schedule or to reschedule jobs in the case of changed operational parameters. The algorithm has been successfully applied to certain scheduling problems in both the paper-converting and pharmaceutical industry. (C) 2001 Elsevier Science Ltd. All rights reserved.


Keywords

heuristics, MILP, paper-converting industry, scheduling, sequence-dependent setup times

Last updated on 2019-14-10 at 07:07