TY  - JOUR
T1  - Component Pick and Place Scheduling for Surface Mount Device Placement Machine
AU - Ayob, Masri AU - Ahmad Nazri, Mohd Zakree AU - Zainuddin, Suhaila AU - Kurniawan, Tri Basuki 
JO  - International Journal of Soft Computing
VL  - 8
IS  - 1
SP  - 29
EP  - 41
PY  - 2013
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2013.29.41
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2013.29.41
KW  - Scheduling
KW  -component placement sequencing
KW  -heuristic
KW  -printed circuit board assembly
KW  -nozzle optimisation
AB  - This is a case study on improving the throughput of a pick 
  and place surface mount device placement machine. These machines are designed 
  to place electronic components onto a printed circuit board. The machines considered 
  in this research are economical and medium speed machines that have four fixed 
  feeder carriers, a fixed printed circuit board table, two vision cameras, a 
  tool bank, a trash bin and a positioning arm head (i.e., a head that is moveable 
  in both X and Y axes simultaneously) that is equipped with two pipettes. A nozzle 
  (which is held by a pipette) is used to grasp the components for the pick and 
  place operations. As nozzle change operations are very time consuming the constructive 
  heuristic presented in this study gives priority to reducing the number of nozzle 
  change operations in order to schedule the component pick and place operations 
  when assembling printed circuit boards. Based on the average machine operation 
  time provided by the machine manufacturer we compute the effectiveness of each 
  pick and place operation type and assign a weighted value for each type of the 
  operation. The nozzle pairs are ranked based on their effectiveness that indicates 
  how many good pick and place operations can be performed by the nozzle pair. 
  The heuristic begins by choosing the best nozzle pair to be applied. Computational 
  results show that, on average, a weighted nozzle rank heuristic is superior 
  to an ordered heuristic that was presented in the earlier research.
ER  - 