A genetic algorithm approach to optimising component placement and retrieval sequence for chip shooter machines | Zendy

William Ho | Zendy; Ping Ji | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A genetic algorithm approach to optimising component placement and retrieval sequence for chip shooter machines

Author(s) -

William Ho,

Ping Ji

Publication year - 2005

Publication title -

the international journal of advanced manufacturing technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.946

H-Index - 124

eISSN - 1433-3015

pISSN - 0268-3768

DOI - 10.1007/s00170-004-2390-2

Subject(s) - turret , printed circuit board , component (thermodynamics) , chip , genetic algorithm , engineering , sequence (biology) , set (abstract data type) , algorithm , table (database) , computer hardware , computer science , engineering drawing , electrical engineering , mechanical engineering , data mining , physics , genetics , machine learning , biology , thermodynamics , programming language

A chip shooter machine in printed circuit board (PCB) assembly has three movable mechanisms: an X-Y table carrying a PCB, a feeder carrier with several feeders holding components and a rotary turret with multiple assembly heads to pick up and place components. In order to get the minimal placement or assembly time for a PCB on the machine, all the components on the board should be placed in a perfect sequence, and the components should be set up on a right feeder, or feeders since two feeders can hold the same type of components, and additionally, the assembly head should retrieve or pick up a component from a right feeder. The entire problem is very complicated, and this paper presents a genetic algorithm approach to tackle it.Department of Industrial and Systems Engineerin

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research