Process design aided by machine learning. Define your connected facilities (departments, work cells, service stations, etc.) and the software will guide you in sizing your network (number of servers/employees, waiting time, queues, etc.).
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DOWNLOAD link: FacilityNetworkML The full version of the software is FREE for non-commercial use! (Microsoft Windows 64bit compatible (Windows 7, 8 and 10))
IMPORTANT INFORMATION ABOUT THE REQUIRED SERIAL NUMBER: in case you do not have a serial number then register on the AI-TOOLKIT Helpdesk (see hereunder, please fill in your real name and e-mail) and get automatically the serial number (FREE for non-commercial purposes). AI-TOOLKIT HELPDESK: AI-TOOLKIT HELPDESK FOR SERIAL NUMBER
FacilityNetworkML Official website: AI-TOOLKIT FacilityNetworkML
FacilityNetworkML is facility network operation design aided by machine learning. Define your connected facilities (departments, work cells, service stations, etc.; ‘facility’ may mean many things) and the software will guide you in sizing your network (number of servers/employees, waiting time, queues, etc.). The software is very easy and intuitive to use. You just simply need to draw the flow diagram of your connected processes with the mouse, set a few parameters and FacilityNetworkML will do the rest.
FacilityNetworkML uses an evolutionary machine learning model (evolutionary genetic algorithm) for sizing and measuring the facility network.
Evolutionary genetic algorithms (EGAs) got their name from biological evolution theory, which they try to replicate. The terms EGA and biological evolution might seem complex at first but these algorithms are actually simpler than they sound. An EGA is a kind of heuristic (guided or reinforced) search method used for finding the optimum solution based on the theory of natural selection and evolutionary biology, it makes use of the so called Exploitation and Exploration search strategies.
Look at an example here: Business Process
