Optimal Scheduling for a Two-Machine Robotic Cell of Jobshop Type
نویسندگان
چکیده
منابع مشابه
A scalarization-based method for multiple part-type scheduling of two-machine robotic systems with non-destructive testing technologies
This paper analyzes the performance of a robotic system with two machines in which machines are configured in a circular layout and produce non-identical parts repetitively. The non-destructive testing (NDT) is performed by a stationary robotic arm located in the center of the circle, or a cluster tool. The robotic arm integrates multiple tasks, mainly the NDT of the part and its transition bet...
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In this paper, the researchers have investigated a Concatenated Robot Move (CRM) sequence problem and Minimal Part Set (MPS) schedule problem with different setup times for two-machine robotic cell. They have focused on simultaneous solving of CRM sequence and MPS schedule problems with different loading and unloading times. They have applied a Simulated Annealing (SA) algorithm to provide a go...
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Jobshop scheduling is considered a standard problem to solve by means of Genetic Algorithms (GA) and a number of articles have been written about this subject [3]. In spite of this, only few applications of GA have been published [2] on real jobshop scheduling problems. Even though some applications may not be published for business related reasons, more practical applications seem necessary, i...
متن کاملtwo-machine robotic cell considering different loading and unloading times
in this paper, the researchers have investigated a concatenated robot move (crm) sequence problem and minimal part set (mps) schedule problem with different setup times for two-machine robotic cell. they have focused on simultaneous solving of crm sequence and mps schedule problems with different loading and unloading times. they have applied a simulated annealing (sa) algorithm to provide a go...
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ژورنال
عنوان ژورنال: Transactions of the Institute of Systems, Control and Information Engineers
سال: 1999
ISSN: 1342-5668,2185-811X
DOI: 10.5687/iscie.12.366