ELECTRONIC PRODUCTS INDUSTRIAL PROCESSES

Brand Owner (click to sort) Address Description
SENSYLINE SENSYCON Gesellschaft fur industrielle Sensorsysteme und Prozessleittechnik mbH Hackethalstrasse 7 D-3000 Hannover Germany electronic products for industrial processes; namely, monitors, controllers and regulators, heat resistant wires and cables;sensy-line;
SENSYLOG SENSYCON Gesellschaft fur industrielle Sensorsysteme und Prozessleittechnik mbH Hackethalstrasse 7 D-3000 Hannover Germany electronic products for industrial processes; namely, monitors, controllers, and regulators;sensy-log;
SENSYLUX SENSYCON Gesellschaft fur industrielle Sensorsysteme und Prozessleittechnik mbH Hackethalstrasse 7 D-3000 Hannover Germany electronic products for industrial processes; namely, monitors, controllers, and regulators; optical sensors, and fibre optical elements;sensor deluxe;
SENSYNET SENSYCON Gesellschaft fur industrielle Sensorsysteme und Prozessleittechnik mbH Hackethalstrasse 7 D-3000 Hannover Germany electronic products for industrial processes; namely, monitors, controllers, and regulators;Sensy-Net;
SENSYTHERM HARTMAN & BRAUN GMBH & CO. KG HACKETLSTRASSE 7 D-30179 HANOVER Germany electronic products for industrial processes; namely, monitors, controllers, and regulators; measuring converters;sensy-therm;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. In a quality control system for manufacturing industrial products, the product quality history and the manufacturing process history are collected and collated to calculate the correlation magnitude between the two histories. The candidates for the cause of quality variation hidden in the manufacturing processes are listed, and the correlation magnitude between all combinations of the variates of the manufacturing process history are calculated. Further, by utilizing the manufacturing sequence history used for an input plan, a causation connecting structure model between the manufacturing processes of the manufacturing line is automatically generated and automatically analyzed thereby to automatically extract the fundamental cause of quality variation from the candidates for the cause of quality variation. By doing so, the cause of quality variation of industrial products manufactured through a complicated process can be traced in a complicated connecting structure in the manufacturing history data.