naa a22 4500 51082286X CHVBK 20180411083542.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s12541-013-0165-0 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0165-0 Analysis of energy efficiency and productivity in dry process in PCB manufacturing [Elektronische Daten] [You-Jin Park, Gyu-Bong Lee] Generally, the cleaning process in printed circuit board (PCB) manufacturing consists of prewash, wash, rinse, and drying stages. The prewash stage rinses off the gross contaminants from the board before the wash stage. In the wash stage, spray bar and nozzle assembly is used to remove all remaining contaminants. An anti-dragout section exists between the wash and the rinse stages. The use of an air in this section helps prevent any liquid dragout from the wash to the rinse tank. Some cleaners also have a wet isolation that provides further rinsing off the wash water from the PCB. As the last stage of the cleaning process, at drying stage, high temperature and high pressure air is used to get rid of the remaining moist thoroughly. By the way, it is known that the dry process consumes a moderately large amount of electric power since high temperature and high pressure air are required in this stage. However, if the due date of a certain PCB product is not too much tight, it would be not necessary to increase the temperature and pressure to proceed with drying. Thus, in this research, after collecting the experimental data and modeling the situations with appropriate statistical models, we develop a heuristic approach to the dry process in order to find optimal operating condition which minimizes the energy consumption while meeting the due dates of the ordered products as exactly as possible. Through the heuristic algorithm, that is, interchange-crossover algorithm, we provide an optimal (or near optimal) operating condition which can minimize both the total energy consumption and total penalty cost incurred by earliness and tardiness at the same time. The performance of the other approach is also investigated and compared to that of the developed heuristic approach. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 Dry process nationallicence PCB manufacturing nationallicence Energy consumption nationallicence Statistical model nationallicence Optimization algorithm nationallicence z i 1 : Conveyor speed for product type i nationallicence z i 2 : Temperature for product type i nationallicence x i : Energy consumption function for product type i nationallicence P i : Amount of product type i ordered by customers nationallicence k : Number of product types nationallicence y 1 : Total energy consumption function nationallicence y 2 : Total penalty cost function nationallicence C i E : Unit penalty cost for product i due to earliness nationallicence C i T : Unit penalty cost for product i due to tardiness nationallicence E i : Amount of type i products early manufactured nationallicence T i : Amount of type i products tardy manufactured nationallicence Park You-Jin School of Business Administration, College of Business and Economics, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, 156-756, Seoul, South Korea aut Lee Gyu-Bong Korea Institute of Industrial Technology, 1271-18, Sa 1-dong, Sangrok-gu, Ansan-si, 426-171, Gyeonggi-do, Korea aut International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/7(2013-07-01), 1213-1221 2234-7593 14:7<1213 2013 14 12541 https://doi.org/10.1007/s12541-013-0165-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0165-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Park You-Jin School of Business Administration, College of Business and Economics, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, 156-756, Seoul, South Korea aut NATIONALLICENCE 700 1- Lee Gyu-Bong Korea Institute of Industrial Technology, 1271-18, Sa 1-dong, Sangrok-gu, Ansan-si, 426-171, Gyeonggi-do, Korea aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/7(2013-07-01), 1213-1221 2234-7593 14:7<1213 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer