Open AccessReactive Scheduling Based on Adaptive Manipulator Operations in a Job Shop Configuration with Two Machines
Author(s) -
Ryo Yonemoto,
Haruhiko Suwa
Publication year - 2021
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.513
H-Index - 18
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2021.p0661
Subject(s) - downtime , scheduling (production processes) , machining , job shop , manipulator (device) , job shop scheduling , computer science , machine tool , schedule , engineering , reliability engineering , flow shop scheduling , robot , mechanical engineering , operations management , artificial intelligence , operating system
Manufacturing systems are affected by uncertainties, such as machine failure or tool breakage, which result in system downtime and productivity deterioration. In machining processes, system downtime must be reduces. This study aims to establish an automated scheduling technique that flexibly responds to unforeseen events, such as machine failure, based on adaptive operations of the handling manipulator instead of an operation schedule for the machine tools. We propose an “adaptive manipulation” procedure for establishing a reactive revision policy. The reactive revision policy modifies a portion of the manipulator operation sequence, followed by the machine operation sequence. We conduct a physical scheduling simulation on a material-handling manipulator system imitating a job-shop manufacturing system. Through simulations involving machine breakdown scenarios, the applicability of the reactive revision policy based on adaptive manipulation is demonstrated.