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MIP Formulations for a Rich Real-World Lot-Sizing Problem with Setup Carryover

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Date
2016
Dewey
Recherche opérationnelle
Sujet
Lot-sizing; Setup carryover; Mixed integer programming; Computational tests
JEL code
C.C6.C63; C.C4.C44
DOI
http://dx.doi.org/10.1007/978-3-319-45587-7_11
Conference name
4th International Symposium, ISCO 2016
Conference date
05-2016
Conference city
Vietri sul Mare
Conference country
Italy
Book title
Combinatorial Optimization: 4th International Symposium, ISCO 2016, Vietri sul Mare, Italy, May 16-18, 2016, Revised Selected Papers
Author
Cerulli, Raffaele; Fujishige, Satoru; Mahjoub, A. Ridha
Publisher
Springer
Publisher city
Cham
Year
09-2016
Pages number
452
ISBN
978-3-319-45587-7
URI
https://basepub.dauphine.fr/handle/123456789/15955
Collections
  • LAMSADE : Publications
Metadata
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Author
Focacci, Filippo
Furini, Fabio
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Gabrel, Virginie
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Godard, Daniel
Shen, Xueying
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
123-134
Abstract (EN)
A rich lot-sizing problem is studied in this manuscript which comes from a real-world application. Our new lot-sizing problem combines several features, i.e., parallel machines, production time windows, backlogging, lost sale and setup carryover. Three mixed integer programming formulations are proposed. We theoretically and computationally compare these different formulations, testing them on real-world and randomly generated instances. Our study is the first step for efficiently tackling and solving this challenging real-world lot-sizing problem.

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