SMT Feeder Slot Assignment for Predetermined Component Placement Paths

Moyer, Leanne K.; Gupta, Surendra M.

doi:10.1142/s0960313196000172

Cited by 22 publications

(16 citation statements)

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“…Similarly, when optimising component pick-and-place sequencing, other optimisation problems such as a feeder setup should be solved in a simple manner or assume they have already been solved. For example, Leipa¨la¨and Nevalainen (1989), Moyer and Gupta (1996a) and Dikos, Nelson, Tirpak and Wang (1997) solved the feeder setup problem based on the assumption that the placement sequence was predetermined or fixed.…”

Section: Feeder Setup Optimisationmentioning

confidence: 99%

“…Based on the predetermined component placement sequence, Moyer and Gupta (1996a) solved the feeder setup of turret-type placement machines by assigning component feeders to slots based on the switching between component types. Next, they improve the solution by exchanging pairs of slots.…”

Section: Feeder Setup Optimisationmentioning

confidence: 99%

“…As an alternative, Moyer and Gupta (1996a) recommended simplifying the problem. For example, Ball and Magazine (1988), Gavish andSeidmann (1988), Leipa¨la¨and Nevalainen (1989), Chiu, Yih and Chang (1991), Ahmadi (1993), Van Laarhoven and Zijm (1993), Bard et al (1994), Crama et al (1996Crama et al ( , 1997, and others have split the problems into a series of sub-problems in order to reduce the size of the search space.…”

Section: Introductionmentioning

confidence: 99%

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The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey

Ayob

Kendall

2009

International Journal of Systems Science

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This article surveys research on the single surface mount device (SMD) placement machine optimisation problem. We classify the optimisation problem into five sub-problems: feeder setup, component placement sequencing, nozzle optimisation, component retrieval plan and motion control; and analyse issues relevant to each of these. One of the aims of this article is to provide guidance to other researchers and gain a deeper understanding of the various optimisation issues that arise in this domain. This could lead to the design of improved heuristics, which are more appropriate to the real-world scheduling problem of the SMD placement machine.

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Section: Feeder Setup Optimisationmentioning

confidence: 99%

Section: Feeder Setup Optimisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey

Ayob

Kendall

2009

International Journal of Systems Science

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“…However, many of them focused on the individual problems for the machine. Some researchers [4,5] studied the component sequencing problem only, whereas some researchers [6][7][8] worked on the feeder arrangement problem alone. Similarly, Crama et al [9] also investigated the component retrieval problem merely for a chip shooter machine.…”

Section: Literature Reviewmentioning

confidence: 99%

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

2005

Int J Adv Manuf Technol

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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.

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“…5 Next, they proposed a heuristic they called the Acyclic Assembly Time (AAT) Algorithm for determining the component placement sequence for implementation by a type of assembly machine known as a High Speed Chip Shooter. 6 A subsequent work presented another heuristic for this problem, along with detailed numerical experiments.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Exchange Neighborhood Search Heuristic for an Integrated Clustering and Machine Setup Model for PCB Manufacturing

Magazine

Polak

Sharma

2002

Journal of Electronics Manufacturing

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In the manufacture of printed circuit boards, electronic components are attached to a blank board by one or more pick-and-place machines. Frequent machine setups, though time consuming, can reduce overall processing time.We consider the Integrated Clustering and Machine Setup (ICMS) model, which incorporates this tradeoff between processing time and setup time and seeks to minimize the sum of the two. Solving this model to optimality is intractable for very large-scale instances. We show that ICMS is NP-hard and consequently propose and test a heuristic based on multi-exchange neighborhood search structures. Initial numerical results are very encouraging.

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SMT Feeder Slot Assignment for Predetermined Component Placement Paths

Cited by 22 publications

References 0 publications

The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey

The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey

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

A Multi-Exchange Neighborhood Search Heuristic for an Integrated Clustering and Machine Setup Model for PCB Manufacturing

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