Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations

A stochastic capacitated discrete procurement problem with lead times, cancellation and postponement is addressed. The problem determines the expected cost minimization of satisfying the uncertain demand of a product during a discrete time planning horizon. The supply of the product is made through...

Full description

Saved in:
Bibliographic Details
Main Author: Testuri, Carlos E. (author)
Format: doctoralThesis
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/20.500.12008/23432
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868890196767932416
author Testuri, Carlos E.
author_browse Testuri, Carlos E.
author_facet Testuri, Carlos E.
author_role author
collection COLIBRI
dc.contributor.none.fl_str_mv Testuri Carlos E.
dc.creator.none.fl_str_mv Testuri, Carlos E.
dc.date.none.fl_str_mv 2020-03-23T21:59:51Z
2020-03-23T21:59:51Z
2020
dc.format.none.fl_str_mv 45 p.
application/pdf
dc.identifier.none.fl_str_mv Testuri, C. Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations [en línea]. Tesis de doctorado. Montevideo : Udelar. FI. INCO. - PEDECIBA, 2020.
1688-2776
https://hdl.handle.net/20.500.12008/23432
dc.language.none.fl_str_mv en
eng
dc.publisher.none.fl_str_mv Udelar.FI
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.none.fl_str_mv Stochastic lot-sizing
Multistage stochastic mixed-integer programming
Valid inequality
Lead time
dc.title.none.fl_str_mv Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations
dc.type.none.fl_str_mv Tesis de doctorado
info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/acceptedVersion
description A stochastic capacitated discrete procurement problem with lead times, cancellation and postponement is addressed. The problem determines the expected cost minimization of satisfying the uncertain demand of a product during a discrete time planning horizon. The supply of the product is made through the purchase of optional distinguishable orders of fixed size with lead time. Due to the uncertainty of demand, corrective actions, such as order cancellation and postponement, may be taken with associated costs and time limits. The problem is modeled as an extension of a capacitated discrete lot-sizing problem with uncertain demand and lead times through a multistage stochastic mixed-integer programming approach. To improve the resolution of the model by tightening its formulation, valid inequalities are generated based on conventional inequalities. Subsets of approximately non dominated valid inequalities are determined heuristically. A procedure to tighten an upgraded formulation based on a known scheme of pairing of inequalities is proposed. Computational experiments are performed for several instances with different uncertainty information structure. The experimental results allow to conclude that the inclusion of subsets of the generated valid inequalities enable a more efficient resolution of the model.
eu_rights_str_mv openAccess
format doctoralThesis
id anni_cf850e34b76ca5b21d100ebcbd30c98c
identifier_str_mv Testuri, C. Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations [en línea]. Tesis de doctorado. Montevideo : Udelar. FI. INCO. - PEDECIBA, 2020.
1688-2776
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str anni
network_name_str oai-lr-anni
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/23432
publishDate 2020
publishDateSort 2020
publisher.none.fl_str_mv Udelar.FI
reponame_str COLIBRI
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulationsTesturi, Carlos E.Stochastic lot-sizingMultistage stochastic mixed-integer programmingValid inequalityLead timeA stochastic capacitated discrete procurement problem with lead times, cancellation and postponement is addressed. The problem determines the expected cost minimization of satisfying the uncertain demand of a product during a discrete time planning horizon. The supply of the product is made through the purchase of optional distinguishable orders of fixed size with lead time. Due to the uncertainty of demand, corrective actions, such as order cancellation and postponement, may be taken with associated costs and time limits. The problem is modeled as an extension of a capacitated discrete lot-sizing problem with uncertain demand and lead times through a multistage stochastic mixed-integer programming approach. To improve the resolution of the model by tightening its formulation, valid inequalities are generated based on conventional inequalities. Subsets of approximately non dominated valid inequalities are determined heuristically. A procedure to tighten an upgraded formulation based on a known scheme of pairing of inequalities is proposed. Computational experiments are performed for several instances with different uncertainty information structure. The experimental results allow to conclude that the inclusion of subsets of the generated valid inequalities enable a more efficient resolution of the model.Udelar.FITesturi Carlos E.2020-03-23T21:59:51Z2020-03-23T21:59:51Z2020Tesis de doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersion45 p.application/pdfTesturi, C. Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations [en línea]. Tesis de doctorado. Montevideo : Udelar. FI. INCO. - PEDECIBA, 2020.1688-2776https://hdl.handle.net/20.500.12008/23432reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)oai:colibri.udelar.edu.uy:20.500.12008/234322026-04-14T10:27:55Z
spellingShingle Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations
Testuri, Carlos E.
Stochastic lot-sizing
Multistage stochastic mixed-integer programming
Valid inequality
Lead time
status_str acceptedVersion
title Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations
title_full Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations
title_fullStr Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations
title_full_unstemmed Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations
title_short Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations
title_sort Multistage stochastic capacitated discrete lot-sizing with lead times: problem definition, complexity analysis and tighter formulations
topic Stochastic lot-sizing
Multistage stochastic mixed-integer programming
Valid inequality
Lead time
url https://hdl.handle.net/20.500.12008/23432