MERLIN OEE, is a Manufacturing Execution System (MES) that allows companies to see first hand the productivity and increased profitability as it happens. Real-time visible dashboard metrics are available for the entire shop floor to see and OEE + DNC hardware and software enable your company to function at its best. Because it takes the data straight from the machine itself, in real-time, automatically, you will see your company’s production increase a minimum of 10% in operational improvement, and a 20% – 60% increase in profit, in less than 3 months. MERLIN OEE is a time saving, and money saving solution, that will increase productivity and profitability in the long run.
Business intelligence, Data Mining, Online analytical processing, Analytics, Business Analytics, Predictive Analytics, Statistics, Customer Intelligence, and Enterprise Risk Management
MEMEX is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, functional applications, and processors and edge intelligence technologies, and also active in the aerospace industries.
MEMEX’s Technology Stack maps MEMEX’s participation in the platform as a service (paas), application infrastructure and middleware, functional applications, and processors and edge intelligence IoT Technology stack.
Boosting Efficiency with IoT: Acatec's Journey with MERLIN
Acatec S.L., a leading manufacturer of precision aeronautical components based in Spain, was striving to reduce costs and exceed client expectations by embracing new technologies. The company decided to overhaul its entire process, from the purchase of raw materials to the final delivery of the product. However, Acatec had historically outsourced all macro engineering and IT/Technology projects to external professional service companies. This resulted in a lack of in-house engineering and technology personnel to drive productivity improvement initiatives. To improve productivity, Acatec decided to implement time-saving, resource-light systems aimed at assisting forward planning of work, gauging capacities, and managing demanding delivery schedules. This included the implementation of management systems for warehouses and computerized control productions. However, the company soon realized that the first step towards increased productivity and efficiency was measuring the actual events.