Information management and decision making supported by an intelligence system in kitchen fronts control process

Measuring systems used for alternative control are the basis of the kitchen fronts acceptance. The assessment of such products is difficult. On the basis of the performed analysis, it can be said that different operators make dif-ferent decisions that result in different problems in a case study manufactur-ing company. In the work, the authors propose a cyber-physical distributed computing infrastructure to implement performance metrics methods extend-ed to manage the control system and to support the decisions concerning im-provements in the control process. It will result in the minimization or avoid-ance of operators’ mistakes concerning the wrong acceptance or rejection of the finished product

Self-similar computing structures for CPSs: a case study on POTS service process

This paper proposes a novel method for the structuring of the knowledge of a service process in order to be processed by lightweight declarative computing infrastructures. Through the identification of selfsimilarities in the process, the flow of the structured information and the sequence of activities performed in the process are easily implemented by means of cyber-physical systems technologies, in order to timely meet the customer/stakeholder’s requirements. The study was performed in a telecommunication service providing organization. Service teams create a collaborative network. With the use of the CPS proposed in this work they can communicate problems and disseminate solutions. This methodology uses the information of a set of performance indicators of the service organization to achieve a better control of the effectiveness and the bottlenecks in the supply network. The methodology is borrowed from the mechatronics field and it is prone to a natural extension and reuse for the similar information structures in manufacturing processes