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Publikācija: Supply Chain Risks Analysis of a Logging Company: Conceptual Model

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity State funding for education
Defending: ,
Publication language English (en)
Title in original language Supply Chain Risks Analysis of a Logging Company: Conceptual Model
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
Sukhvir Manak
Keywords Supply chain risks; Conceptual model; Simulation model
Abstract Supply Chains today are vulnerable to uncertainties and risks that might disrupt their operations which could lead to a drastic loss in revenue, competitive advantage and profitability etc, if not managed effectively. This is a concern especially in logging companies where unfavourable weather conditions can hinder the production processes, deliveries and sales etc. This paper analyses the risks the supply chain of a logging company is facing, develop a conceptual model for an in-depth study and introduce appropriate resilient strategies to enable the company to bounce back and start operations in the shortest possible time after disruptions.
DOI: 10.1016/j.procs.2017.01.140
Hyperlink: http://www.sciencedirect.com/science/article/pii/S1877050917301412?via%3Dihub 
Reference Mensahs, P., Merkurjevs, J., Kļaviņš, Ē., Manak, S. Supply Chain Risks Analysis of a Logging Company: Conceptual Model. Procedia Computer Science, 2017, Vol. 104, pp.313-320. ISSN 1877-0509. e-ISSN 1877-0509. Available from: doi:10.1016/j.procs.2017.01.140
Additional information Citation count:
ID 26464