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Publicaciones científicas orientadas a resolver los desafíos clave de la logística moderna

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¿Qué son las publicaciones científicas?

Nuestra producción científica es el reflejo del compromiso de ZLC con la generación de conocimiento de calidad, aplicable y con vocación internacional. A lo largo de los años, hemos contribuido activamente al desarrollo académico en logística, supply chain y operaciones a través de publicaciones en revistas científicas de alto impacto.
Trabajamos de forma colaborativa con universidades, centros de investigación y empresas en la elaboración de artículos que abordan problemas reales desde una base metodológica sólida. Nuestras publicaciones incluyen estudios sobre optimización, sostenibilidad, resiliencia, digitalización, movilidad urbana o planificación de inventario, entre otros.
Este esfuerzo investigador consolida nuestra posición como referente europeo en el campo de la logística y refuerza el impacto práctico de nuestro trabajo.

Las publicaciones científicas de ZLC

A continuación, puedes consultar algunas de nuestras publicaciones científicas más destacadas.

Differences in security risk perceptions between logistics companies and cargo owners

Urciuoli, L. and Hintsa, J. Differences in security risk perceptions between logistics companies and cargo owners. International Journal of Logistics Management, Vol. 27 (2), 2016, pp. 418 - 437

Supply chain finance for small and medium sized enterprises: the case of reverse factoring, International Journal of Physical Distribution

Lekkakos, S., Serrano, A. Supply chain finance for small and medium sized enterprises: the case of reverse factoring, International Journal of Physical Distribution & Logistics Management, Vol. 46 (4), 2016, pp. 367 - 392

Inter - and Intra-regional Evacuation Behavior during Hurricane Irene: Results from a Large-Scale Phone Survey

Ng ManWo, Diaz R., Behr Joshua. Inter - and Intra-regional Evacuation Behavior during Hurricane Irene: Results from a Large-Scale Phone Survey, Journal of Travel Behaviour and Society, Vol. 3, 2016, pp. 21-28

Health Service Utilization and Poor Health Reporting in Asthma Patients

Behr JG, Diaz R., Akpinar-Elce, M. Health Service Utilization and Poor Health Reporting in Asthma Patients. International Journal of Environmental Research and Public Health, 2016. Vol. 13 (7), art. 645

Static Inventory an Untapped Source of Working Capital

Gürbüz, M. C., Kella, R., Agrogiannis, C. Static Inventory an Untapped Source of Working Capital. Supply Chain Management Review, published online, September 28, 2016

Maverick buying: Eliminate, participate, leverage?

Rothkopf,A., Pibernik, R., Maverick buying: Eliminate, participate, leverage?, International Journal of Production Economics, September 2016, Vol. 179, pp 77-89

Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units

Diaz, R. Using dynamic demand information and zoning for the storage of non-uniform density stock keeping units. International Journal of Production Research, Vol. 54 (8), 2016, pp. 2487-2498

Emergency Department Frequent Utilization for Non-Emergent Presentments: Results from a Regional Urban Trauma Center Study

Behr JG, Diaz R. Emergency Department Frequent Utilization for Non-Emergent Presentments: Results from a Regional Urban Trauma Center Study. PLoS ONE , 2016, Vol. 11 (1): e0147116

Population vulnerability to storm flooding in Coastal Virginia, USA

Hua, L., Behr, JG., Díaz, R. Population vulnerability to storm flooding in Coastal Virginia, USA. Integrated Environmental Assessment and Management. Vol 12 (3). July 2016, pp. 500-509

Enhabling Horizontal Collaboration Through Continuous Relational Learning

Sáenz, M.J., Ubaghs, E., Cuevas A.I., Enhabling Horizontal Collaboration Through Continuous Relational Learning. Nov 2014, Springer

Information reliability in supply chains: the case of multiple retailers

Spiliotopoulou, E., Donohue, K., Gürbüz, MG. Information reliability in supply chains: the case of multiple retailers, Production & Operations Management. Special Issue on Multi-methodological Research in Production and Operations Management, Vol. 25 (3), March 2016, pp. 548–567

Analizing a lost-sale stochastic inventory model with Markov-modulated demands: A simulation-based optimization study

Diaz, R., Bailey, M.P., Kumar, S. Analizing a lost-sale stochastic inventory model with Markov-modulated demands: A simulation-based optimization study, Journal of Manufacturing Systems, Vol. 38, 2016, pp. 1-12