Allocation of component types to machines in the automated assembly of printed circuit boards

Duman, Ekrem (Dogus Author) -- An earlier version of this paper which has been presented at ISCIS'06: The 21st International Symposium on Computer and Information Sciences, November 1-3, 2006 Istanbul, Turkey, has been published in Lecture Notes in Computer Science [18].Although the use of electronic component placement machines has brought reliability and speed to the printed circuit board (PCB) assembly process, to get higher utilization, one needs to solve the resulting complex operations research problems efficiently. In this study, the problem of distributing the assembly workload to two machines deployed on an assembly line with two identical component placement machines to minimize the line idle time is considered. This problem is NP-Complete even in its simplest form. A mathematical model and several heuristics have been proposed to solve this problem efficiently

Baskı devre kartı dizgi atölyelerinde hat dengeleme

In assembling printed circuit boards (PCB), the use of numerically or computer controlled electronic component placement machines has become quite popular in the last decades. However, serious operations research problems arise through their use such as, allocation of component types to machines, board production schedule, feeder configuration and placement sequencing. In this study, the problem of allocation of component types to machines is taken up where two non-identical machines are deployed serially on a line to complete the assembly process of PCBs. For the solution of this problem three heuristic algorithms are suggested and their performances are investigated on experimental data.Son yıllarda baskı devre kartlarının (BDK) dizgisinde nümerik veya bilgisayar kontrollü elektronik dizgi makinalarının kullanımı yaygın hale gelmiştir. Ancak, bu beraberinde komponent tiplerinin makinalara atanması, kart üretim çizelgelemesi, besleyici düzeni ve dizgi sırası gibi karmaşık yöneylem araştırması problemlerini getirmiştir. Bu çalışmada, birbirinden farklı iki makinanın aynı hatta olması durumu için komponentlerin makinalara atanması problemi ele alınmıştır. Bu problemin çözümü için üç ayrı sezgisel algoritma geliştirilmiş ve performansları örnek veriler üzerinde incelenmiştir

Workload Balancing in Printed Circuit Board Assembly Shops

Son yıllarda baskı devre kartlarının (BDK) dizgisinde nümerik veya bilgisayar kontrollü elektronik dizgi makinalarının kullanımı yaygın hale gelmiştir. Ancak, bu beraberinde komponent tiplerinin makinalara atanması, kart üretim çizelgelemesi, besleyici düzeni ve dizgi sırası gibi karmaşık yöneylem araştırması problemlerini getirmiştir. Bu çalışmada, birbirinden farklı iki makinanın aynı hatta olması durumu için komponentlerin makinalara atanması problemi ele alınmıştır. Bu problemin çözümü için üç ayrı sezgisel algoritma geliştirilmiş ve performansları örnek veriler üzerinde incelenmiştir.In assembling printed circuit boards (PCB), the use of numerically or computer controlled electronic component placement machines has become quite popular in the last decades. However, serious operations research problems arise through their use such as, allocation of component types to machines, board production schedule, feeder configuration and placement sequencing. In this study, the problem of allocation of component types to machines is taken up where two non-identical machines are deployed serially on a line to complete the assembly process of PCBs. For the solution of this problem three heuristic algorithms are suggested and their performances are investigated on experimental data

Workload Balancing in Printed Circuit Board Assembly Shops

Son yıllarda baskı devre kartlarının (BDK) dizgisinde nümerik veya bilgisayar kontrollü elektronik dizgi makinalarının kullanımı yaygın hale gelmiştir. Ancak, bu beraberinde komponent tiplerinin makinalara atanması, kart üretim çizelgelemesi, besleyici düzeni ve dizgi sırası gibi karmaşık yöneylem araştırması problemlerini getirmiştir. Bu çalışmada, birbirinden farklı iki makinanın aynı hatta olması durumu için komponentlerin makinalara atanması problemi ele alınmıştır. Bu problemin çözümü için üç ayrı sezgisel algoritma geliştirilmiş ve performansları örnek veriler üzerinde incelenmiştir.In assembling printed circuit boards (PCB), the use of numerically or computer controlled electronic component placement machines has become quite popular in the last decades. However, serious operations research problems arise through their use such as, allocation of component types to machines, board production schedule, feeder configuration and placement sequencing. In this study, the problem of allocation of component types to machines is taken up where two non-identical machines are deployed serially on a line to complete the assembly process of PCBs. For the solution of this problem three heuristic algorithms are suggested and their performances are investigated on experimental data

Automated assembly of printed circuit boards: iterative solution of placement sequencing and feeder configuration problems

In automated assembly of printed circuit boards, the placement sequencing and feeder configuration problems turns out to be two of the four major problems that need to be solved efficiently to get better utilization from the use of computer controlled electronic component placement machines. The forms of these problems may show variability depending on the architecture of the placement machine used. In this study one of such machine architectures is undertaken where the most difficult combination of placement sequencing and feeder configuration problems is faced. Given a placement sequencing problem, the feeder configuration problem turns out to be a quadratic assignment problem, and given a feeder configuration the placement sequencing problem turns out to be a traveling salesman problem. However these two problems are highly interdependent and as the overall solution is intractable a sequential and iterative solution procedure is suggested. The proposed solution procedure is applied to test problems in real printed circuit board assembly environments.Yazar Sürüm

A Multi-Objective Optimization Approach for Multi-Head Beam-Type Placement Machines

This paper addresses a highly challenging scheduling problem in the field of printed circuit board (PCB) assembly systems using Surface Mounting Devices (SMD). After describing some challenging optimization sub-problems relating to the heads of multi-head surface mounting placement machines, we formulate an integrated multi-objective mathematical model considering of two main sub-problems simultaneously. The proposed model is a mixed integer nonlinear programming one which is very complex to be solved optimally. Therefore, it is first converted into a linearized model and then solved using an efficient multi-objective approach, i.e., the augmented epsilon constraint method. An illustrative example is also provided to show the usefulness and applicability of the proposed model and solution method.PCB assembly. Multi-head beam-type placement machine. Multi-objective mathematical programming. Augmented epsilon-constraint method

Comparison of a bat and genetic algorithm generated sequence against lead through programming when assembling a PCB using a 6 axis robot with multiple motions and speeds

An optimal component feeder arrangement and robotic placement sequence are both important for improving assembly efficiency. Both problems are combinatorial in nature and known to be NP-hard. This paper presents a novel discrete hybrid bat-inspired algorithm for solving the feeder slot assignment and placement sequence problem encountered when planning robotic assembly of electronic components. In our method, we use the concepts of swap operators and swap sequence to redefine position, and velocity operators from the basic bat algorithm. Furthermore, we propose an improved local search method based on genetic operators of crossover and mutation enhanced by the 2-opt search procedure. The algorithm is formulated with the objective of minimizing the total traveling distance of the pick and place device. Through numerical experiments, using a real PCB assembly scenario, we demonstrate the considerable effectiveness of the proposed discrete Bat Algorithm (BA) to improve selection of feeder arrangement and placement sequence in PCB assembly operations and achieve high throughput production. The results also highlighted that the even though the algorithms out performed traditional lead through programming techniques, the programmer must consider the influence of different robot motions