caa a22 4500 606159789 CHVBK 20210128100626.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00521-014-1765-z doi (NATIONALLICENCE)springer-10.1007/s00521-014-1765-z Scheduling of printed circuit board (PCB) assembly systems with heterogeneous processors using simulation-based intelligent optimization methods [Elektronische Daten] [Amir Noroozi, Hadi Mokhtari] The complexity of printed circuit boards (PCBs), as an important sector of the electronics manufacturing industry, has increased over the last three decades. This paper focuses on a practical application observed at a PCB assembly line of electronics manufacturing facility. It is shown that this problem is equivalent to a flowshop scheduling with multiple heterogeneous batch processors where processors can perform multiple tasks as long as the sizes of jobs in a batch do not violate the processors' capacity. The equivalent problem is mathematically formulated as a mixed integer programming model. Then, a Monte Carlo simulation is incorporated into high-level genetic algorithm-based intelligent optimization techniques to assess the performance of makespan-oriented system under uncertain processing times. At each iteration of algorithm, the output of simulator is used by optimizers to provide online feedbacks on the progress of the search and direct the search toward a promising solution zone. Furthermore, various parameters and operators of the algorithm are discussed and calibrated by means of Taguchi statistical technique. The result of extensive computational experiments shows that the solution approach gives high-quality solutions in reasonable computational time. The Natural Computing Applications Forum, 2014 Electronics manufacturing nationallicence PCB assembly nationallicence Monte Carlo simulation nationallicence Genetic algorithms nationallicence Noroozi Amir Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran aut Mokhtari Hadi Department of Industrial Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran aut Neural Computing and Applications Springer London 26/4(2015-05-01), 857-873 0941-0643 26:4<857 2015 26 521 https://doi.org/10.1007/s00521-014-1765-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1765-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Noroozi Amir Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran aut NATIONALLICENCE 700 1- Mokhtari Hadi Department of Industrial Engineering, Faculty of Engineering, University of Kashan, Kashan, Iran aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/4(2015-05-01), 857-873 0941-0643 26:4<857 2015 26 521