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dc.contributor.author
Rossit, Daniel Alejandro
dc.contributor.author
Tohmé, Fernando Abel
dc.contributor.author
Mejía Delgadillo, Gonzalo
dc.contributor.other
Sokolov, Boris
dc.contributor.other
Ivanov, Dmitry
dc.contributor.other
Dolgui, Alexandre
dc.date.available
2021-03-12T19:41:25Z
dc.date.issued
2020
dc.identifier.citation
Rossit, Daniel Alejandro; Tohmé, Fernando Abel; Mejía Delgadillo, Gonzalo; The Tolerance Scheduling Problem in a Single Machine Case; Springer; 2020; 255-273
dc.identifier.isbn
978-3-030-43176-1
dc.identifier.uri
http://hdl.handle.net/11336/128275
dc.description.abstract
This chapter introduces the Tolerance Scheduling problem, which involves the decision-making issues in rescheduling processes. The solutions to this problem can be incorporated in the design of Decision Support Systems (DSS) in Industry 4.0 environments. We present here the mathematical foundations for the solutions of the Tolerance Scheduling problem as well as the technical requirements of their embodiment in Industry 4.0’s DSS. We illustrate these ideas in a case study with a single machine, in which we analyze the performance of the model at different tolerances.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
SCHEDULING
dc.subject
INDUSTRY 4.0
dc.subject
TOLERANCE SCHEDULING PROBLEM
dc.subject
SINGLE MACHINE
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
The Tolerance Scheduling Problem in a Single Machine Case
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2020-12-04T15:06:41Z
dc.journal.pagination
255-273
dc.journal.pais
Suiza
dc.journal.ciudad
Cham
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.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: Mejía Delgadillo, Gonzalo. Universidad de la Sabana. Faculty of Engineering; Colombia
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-030-43177-8_13
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-030-43177-8_13
dc.conicet.paginas
274
dc.source.titulo
Scheduling in Industry 4.0 and Cloud Manufacturing
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