REVISTA DYNA MANAGEMENT

Key words:

Supply Chain Management, Risk Management, Risk Analysis, Logistics, Human Resource, Keywords: Gestión de la cadena de suministro, gestión de riesgos, análisis de riesgos, logística, recursos humanos.

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

The main purpose of this paper is the improvement of knowledge base related to risk assessment and management in the human factor domain in supply chains. Specific goals of this research are achieved through realization of particular research activities. Special research goals, which have to be realistic with clearly measurable results and complements with overall research goal, in this paper are: Defining appropriate logic frame for terminological systematization related to risk management in supply chains and Development of model for risk assessment in supply chains. While making this paper we used scientific method base on available literature as well as on legal and planning acts. Data analysis enabled us to research and identify possibilities for application of risk assessment in supply chains in order to carry out their optimization in emergency situations. It is possible to define and systemize risk group that can occur in mutual interaction between members of supply chain and are the result of individual member's activity. Available literature related to risk management in supply chains is not sufficient for "logistic" risks. An efficient model for risk management in supply chains has been developed, which is compatible with general strategy used for risk management in supply chains. Defined model is compatible with basic theoretical postulates of risk management and is applicable in real business systems. Elegant, but very complex task, can be a simulation of supply chain segment through stochastic modeling in order to support risk assessment mapping of the influence of different variations for risk parameters. The partners in supply chain should develop the understanding of the importance of recognizing the structure of key risks. This research gives a new aspect of risk management in supply chains.