Measure characterization of a complex system logistics

Andres Velasquez Contreras, Johann Trujillo Diaz, Carlos Franco Franco, Holman Bolivar Baron

Resultado de la investigación: Capítulo en Libro/Reporte/ConferenciaContribución a la conferencia

2 Citas (Scopus)

Resumen

The logistical network of a company is adaptive, so co-evolves with the environment, constantly changing their connections with suppliers, and internally among its staff structure and processes with distributors, dealers and customers. This coupled with the dynamic growth of organizations, the use of information systems and technologies, the diversity of products and the high degree of market uncertainty, leading to the logistics network of an organization become complex. Understand and set limits to the complexity implies an intention to control and therefore a set of measures that allow the decision maker to identify intervention points in the logistics network and guide the ecoevolution intentionally structuring the logistics system and making more efficient provider network , operational network and the customer.Here, a measuring dynamic variable describing the overall complexity of the system and therefore the associated network structure is proposed.

Idioma originalInglés estadounidense
Título de la publicación alojadaProceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014
EditoresFatos Xhafa, Mario Koeppen, Francesco Palmieri, Vincenzo Loia, Leonard Barolli
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas504-508
Número de páginas5
ISBN (versión digital)9781479963867
DOI
EstadoPublicada - mar 9 2014
Publicado de forma externa
Evento6th International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014 - Salerno, Italia
Duración: sep 10 2014sep 12 2014

Serie de la publicación

NombreProceedings - 2014 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014

Conferencia

Conferencia6th International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2014
PaísItalia
CiudadSalerno
Período9/10/149/12/14

All Science Journal Classification (ASJC) codes

  • Inteligencia artificial
  • Redes de ordenadores y comunicaciones

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