Simulation-based performance analysis and optimization of electronics assembly equipment

被引:18
|
作者
Grunow, M [1 ]
Günther, HO [1 ]
Föhrenbach, A [1 ]
机构
[1] Tech Univ Berlin, Dept Ind Management, D-10585 Berlin, Germany
关键词
D O I
10.1080/00207540050205064
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Due to the high degree of automation in modern printed circuit board (PCB) assembly, production planning and scheduling in this industry relies heavily on the accuracy of the underlying models of the automated machinery. In this paper, the derivation of such mathematical models is exemplified for one of the most wide-spread machine types (the so-called chip shooter). Moreover, a simulation system for practical use in the electronics assembly is presented which incorporates various types of assembly machines. It serves as a tactical production planning aid as well as a test field for the analysis of the kinematic processes of PCB assembly machines. Such simulation, tailored to the specifics of a production environment, gives reliable estimates of the achievable production volume. Considerable deviations between the performance figures provided by the machine supplier and the actual result can thus be explained, and potential assembly system configurations be compared by drawing on reliable measures. Since the equipment is modelled at a level which takes precise account of its specific kinematics, a detailed analysis of the operations of the individual machine can also be performed revealing potential bottlenecks in its design. These insights are used to optimize machine design and control. Methods based on graph theory as well as on modern numerical search algorithms have been developed for the latter purpose. They lead to considerable performance improvements.
引用
收藏
页码:4247 / 4259
页数:13
相关论文
共 50 条
  • [31] Simulation-based Optimization of Solar Combisystem Sensitivity Analysis at Optimum
    Kusyy, Oleh
    Vajen, Klaus
    [J]. PROCEEDINGS OF THE ISES EUROSUN 2018 CONFERENCE - 12TH INTERNATIONAL CONFERENCE ON SOLAR ENERGY FOR BUILDINGS AND INDUSTRY, 2018, : 385 - 396
  • [32] An Efficient Simulation-Based Optimization Approach for Improving Emergency Department Performance
    Chouba, Ibtissem
    Yalaoui, Farouk
    Amodeo, Lionel
    Arbaoui, Taha
    Blua, Philippe
    Laplanche, David
    Sanchez, Stephane
    [J]. MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 1939 - 1940
  • [33] Simulation-Based Optimization for the Integrated Control of Production and Logistics: A Performance Comparison
    Pires, Matheus C.
    Frazzon, Enzo M.
    Quadras, Djonathan
    Broda, Eike
    Freitag, Michael
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 10639 - 10644
  • [34] Simulation-Based Assessment of Performance Indicator for Data Center Cooling Optimization
    Petrongolo, John
    Nemati, Kourosh
    Fouladi, Kamran
    [J]. JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS, 2020, 12 (05)
  • [35] Simulation-Based Analysis of the Effect of New Immersion Freezing Equipment on the Freezing Speed
    Chang, Jiang
    Sun, Pengda
    Gong, Xue
    Sun, Zhihui
    Wang, Jing
    Li, Xiaoyan
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (04):
  • [36] A SIMULATION-BASED OPTIMIZATION HEURISTIC USING SELF-ORGANIZATION FOR COMPLEX ASSEMBLY LINES
    Angelidis, Evangelos
    Bohn, Daniel
    Rose, Oliver
    [J]. 2012 WINTER SIMULATION CONFERENCE (WSC), 2012,
  • [37] Simulation-Based Optimization for Steel Stacking
    Rei, Rui Jorge
    Kubo, Mikio
    Pedroso, Joao Pedro
    [J]. MODELLING, COMPUTATION AND OPTIMIZATION IN INFORMATION SYSTEMS AND MANAGEMENT SCIENCES, PROCEEDINGS, 2008, 14 : 254 - +
  • [38] Simulation-based optimization in port logistics
    Rina Mary Mazza
    [J]. 4OR, 2012, 10 : 313 - 314
  • [39] SIMULA tool for simulation-based optimization
    Sklenar, Jaroslav
    [J]. EUROPEAN SIMULATION AND MODELLING CONFERENCE 2007, 2007, : 119 - 123
  • [40] Evolutionary Selection in Simulation-Based Optimization
    Beham, Andreas
    Kofler, Monika
    Affenzeller, Michael
    Wagner, Stefan
    [J]. COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2009, 2009, 5717 : 761 - 768