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[会议论文]

Balanced Adaptive Tabu Search Algorithm to Optimize Dual-Gantry Pick-and-Place Assembly

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author:

Li, Debiao (Li, Debiao.) [1] (Scholars:李德彪) | Qiang, Rui (Qiang, Rui.) [2] (Scholars:强瑞) | Yoon, Sang Won (Yoon, Sang Won.) [3]

Indexed by:

CPCI-S Scopus

Abstract:

This paper presents an optimization study of dual-gantry high-speed rotary-type pick-and-place surface mount device (SMD) machine. In the dual-gantry SMD machine, there are two feeder bases and gantry heads, such that two placement heads can pick-and- place synchronously in one PCB, which has an advantage in assembly PCB with more component types. The dual-gantry optimization problem is decomposed into nozzle arrangement, feeder assignment, pick-and-place sequence, component allocation, and gantry schedule problems. To balance the workload between gantries and reduce the wait time in the gantry's synchronous movement, a balanced adaptive tabu search (BATS) algorithm is proposed. Based on the 16 industrial data tests, the proposed algorithm yields a 7.04% improvement on average compared to the industrial package. (c) 2017 The Authors. Published by Elsevier B.V.

Keyword:

dual-gantry assembly gantry balance gantry scheduling pick-and-place optimization

Community:

  • [ 1 ] [Li, Debiao]Fuzhou Univ, Dept Management Sci & Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Qiang, Rui]Fuzhou Univ, Dept Management Sci & Engn, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Yoon, Sang Won]SUNY Binghamton, Dept Syst Sci & Ind Engn, Binghamton, NY 13902 USA

Reprint 's Address:

  • 李德彪

    [Li, Debiao]Fuzhou Univ, Dept Management Sci & Engn, Fuzhou 350116, Fujian, Peoples R China

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Source :

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017

ISSN: 2351-9789

Year: 2017

Volume: 11

Page: 1892-1899

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

30 Days PV: 0

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