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dc.contributor.author | CRUZ MEJIA, OLIVERIO | |
dc.contributor.author | MARQUEZ ESCALANTE, JORGE ALBERTO | |
dc.contributor.author | MONSREAL BARRERA, MARIO MANUEL | |
dc.creator | CRUZ MEJIA, OLIVERIO; 36009 | |
dc.creator | MARQUEZ ESCALANTE, JORGE ALBERTO; 98322 | |
dc.creator | MONSREAL BARRERA, MARIO MANUEL; 220447 | |
dc.date.accessioned | 2020-02-26T23:44:56Z | |
dc.date.available | 2020-02-26T23:44:56Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-3-030-04137-3 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11799/105888 | |
dc.description | Capitulo de libro internacional | es |
dc.description.abstract | Abstract Industry 4.0 is having machines working connected as a collaborative community, both inside and outside thewalls of themanufacturing sites. Manufacturing, sourcing, and delivery supply chains are nowconnected, making synchronization possible. Physical product delivery has changed significantly. Smart deliveries are now possible by directing end customer location in dynamic conditions. The capabilities of the delivery system can be simulated using discrete event simulation to compromise on-time delivery. Big data analytics are nowa fundamental tool for product delivery analysis of optimal vehicle routing conditions and resource allocation. As companies have improved product delivery capabilities, more complex supply chains have been created. Analytic tools can tackle this complexity in estimating delivery time and product delivery windows under different workload scenarios. | es |
dc.language.iso | eng | es |
dc.publisher | Springer Nature | es |
dc.rights | openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.subject | Product Delivery | es |
dc.subject | Simulation | es |
dc.subject | Industry 4.0 | es |
dc.subject.classification | INGENIERÍA Y TECNOLOGÍA | es |
dc.subject.classification | INGENIERÍA Y TECNOLOGÍA | |
dc.title | Product Delivery and Simulation for Industry 4.0 | es |
dc.type | Capítulo de Libro | es |
dc.provenance | Científica | es |
dc.road | Verde | es |
dc.organismo | Unidad Académica Profesional Nezahualcóyotl | es |
dc.ambito | Internacional | es |
dc.cve.CenCos | 31101 | es |
dc.cve.progEstudios | 42 | es |
dc.modalidad | Reporte de Aplicación de Conocimientos | es |
dc.audience | students | es |
dc.audience | researchers | es |
dc.type.conacyt | bookPart | |
dc.identificator | 7 | |
dc.relation.doi | https://doi.org/10.1007/978-3-030-04137-3_5 |