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The Internet of Things (IoT) network in the health area offers many facilities or conveniences, as it allows communication between machines, such as monitoring the development of chronic diseases, disseminating disease control, monitoring the fall of the elderly. However, this communication can bring some associated risks, such as breach of privacy and security, loss of data integrity. Thus, this study identified the components of the network that interfere with the occurrence of risk and their respective hierarchy within the IoT system used in the health area. There were 8 (eight) factors identified in the literature and were validated by 2 (two) academic experts with knowledge on the subject. The use of the Analytic Hierarchy Process (AHP) method allowed to identify the most critical componentes related to the study proposed here.

The relationship between suppliers and buyers has had significant changes in recent years. Among those suppliers are small and medium size enterprises (SMEs) providing machining services as demanded by their clients. Usually this type of company faces difficulties to adequately manage the selling price of services to be rendered. Larger companies on the other hand have the ability to quickly and more accurately manage their costs and related prices due to the utilization of expensive software which are often not viable for SMEs. This paper proposes a procedure based on the contribution margin concept which enables the SMEs dedicated to supplying machining services to perform an economic analysis of the machining process as a way to improve the efficiency of its cost management and pricing of their services.