The incoming industrial revolution is intended to lead more fluid communication flows. The implicated actors to the manufacturing can access easily to the information. The dashboard is not only, as it had been for a long time, screens including great amount of metrics that are used while operating on the production line. These user interfaces are exported now to innumerable devices (e.g., smart phones, tablets, smartwatch) that offer accessibility to them and consequently contribute to boost the reaction time to potential line state change or client requirement.

In terms of Business Intelligence, the expert can have further information to proceed to a deeper predictive analysis and then to better assist the decision maker in short delays.

The sales management generally introduces the M.E.S. as real time data processing. This is in accordance with the announced objective with the

MESA. However, the reality seems different from the announced objective. In fact, the processing the data is generally articulated through three categories: (i) acquisition from the shop floor and planning systems, (ii) analyzing data, and (iii) saving the data (raw data and/or aggregate data).

The two first categories often take time to be finished and generally the final result needs several seconds or minutes or delay. Comparing the time requested of many ERP, and many old shop floor, the M.E.S. is considered by many as a real time system. One of the expected solution, provided by IoT, is to gather and to analyze data at the same time. This can surely improve the M.E.S. time execution performances.

One related issue to improve the scalability of M.E.S. for better context adaptation to support small and huge manufacturing systems.

< Prev   CONTENTS   Source   Next >