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Publikācija: The Impact of Risks on the Deliveries of a Logging Company: Simulation Model Case Study

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity State funding for education
Defending: ,
Publication language English (en)
Title in original language The Impact of Risks on the Deliveries of a Logging Company: Simulation Model Case Study
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Research platform Information and Communication
Authors Peters Mensahs
Jurijs Merkurjevs
Ēriks Kļaviņš
Francesco Longo
Keywords supply chain, supply chain risks, deliveries, simulation model
Abstract The supply chain today is vulnerable to risks that might affect the flow of materials, information and money anywhere between its upper and lower levels that could yield to a drastic loss in productivity, profitability as well as competitive advantages. Hence, it is vital for organizations to be agile and flexible enough to combat any form of risks that could be a threat to their success especially in deliveries. This paper therefore uses a case study approach to study and portray the effect of risks on the deliveries of a logging company. A simulation model is developed to represent the delivery process whereby the impact of the risks is discussed to raise awareness of uncertainties.
Hyperlink: http://www.msc-les.org/proceedings/hms/2017/HMS2017_18.pdf 
Reference Mensahs, P., Merkuryev, Y., Kļaviņš, Ē., Longo, F. The Impact of Risks on the Deliveries of a Logging Company: Simulation Model Case Study. In: 19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation (HMS 2017) : held at the International Multidisciplinary Modeling and Simulation Multiconference (I3M 2017), Spain, Barselona, 18-20 September, 2017. [S.l.]: CAL-TEK S.r.l., 2017, pp.18-24. ISBN 978-1-5108-4767-5.
Additional information Citation count:
  • Scopus  0
ID 26472