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dc.contributor.author
Miguel, Fabio
dc.contributor.author
Frutos, Mariano
dc.contributor.author
Tohmé, Fernando Abel
dc.contributor.author
Rossit, Daniel Alejandro
dc.date.available
2019-12-23T17:41:05Z
dc.date.issued
2019-01
dc.identifier.citation
Miguel, Fabio; Frutos, Mariano; Tohmé, Fernando Abel; Rossit, Daniel Alejandro; A memetic algorithm for the integral OBP/OPP problem in a logistics distribution center; Growing Science; Uncertain Supply Chain Management; 7; 2; 1-2019; 203-214
dc.identifier.issn
2291-6822
dc.identifier.uri
http://hdl.handle.net/11336/92794
dc.description.abstract
In this paper, we present a new decision-making tool aimed at improving the efficiency of the operational planning of pick-up processes in logistic distribution centers. It is based on a memetic algorithm (MA) solving both the Order Batching Problem (OBP) and the Order Picking Problem (OPP). The result yields a sequence of simultaneous pick up operations of lots for different clients in a storing facility, satisfying a previously defined distribution plan. The objective is the minimization of the operational cost of the entire process, which is directly proportional to the time spent on different activities involved. The failure to satisfy the conditions, either leads to overstocking, delays in delivery or creates inefficiency costs. The analysis of the results obtained with our algorithmic tool indicates that it has a good performance in comparison with other known algorithms used to solve this kind of problem.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Growing Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
OGISTICS
dc.subject
OPTIMIZATION
dc.subject
ORDER BATCHING PROBLEM
dc.subject
ORDER PICKING PROBLEM
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
A memetic algorithm for the integral OBP/OPP problem in a logistics distribution center
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-12-11T20:20:07Z
dc.identifier.eissn
2291-6830
dc.journal.volume
7
dc.journal.number
2
dc.journal.pagination
203-214
dc.journal.pais
Canadá
dc.description.fil
Fil: Miguel, Fabio. Universidad Nacional de Río Negro; Argentina
dc.description.fil
Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
dc.description.fil
Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
dc.description.fil
Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina
dc.journal.title
Uncertain Supply Chain Management
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/uscm/2970-a-memetic-algorithm-for-the-integral-obp-opp-problem-in-a-logistics-distribution-center.html
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.growingscience.com/uscm/Vol7/uscm_2018_23.pdf
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5267/j.uscm.2018.10.005
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