Track: Artificial Intelligence

Abstract

The principle of JIDOKA (i.e., autonomation) is based upon identifying and eliminating waste in all work activities via automation, whether preemptive or non. Therefore, the (Automatic identification and data capture) AIDC is a utility that facilitate the production schedule via super-market's robot (SM'sR) tool to enhance the VSM output. Since AIDC can integrated with transporter robot to present unmanned systems, and revamp collected information on the machine status, staff attendance, quality losses, scrap …etc., in real time (JIDOKA proficiency). In this work, an effective algorithm-applied during a (Value Stream Map) VSM aims to assemble Electrical Appliance (EA's) is developed that simultaneously schedules production and material handling operations by exploiting the standard time path of operations network to minimize the (Manufacturing Lead Time) MLT, as well as material handling, increase productivity with 35%, increase indirect SM's robot utilization with 50% (i.e., decrease the transportation energy, time and cost with 50%), which resulting in decrease the total costs by 66% in this practical case.