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Integrated component scheduling models for chip shooter machines

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  • Ho, William
  • Ji, Ping

Abstract

This paper focuses on minimizing printed circuit board (PCB) assembly time for a chip shooter machine, which has a movable feeder carrier holding components, a movable X-Y table carrying a PCB, and a rotary turret with multiple assembly heads. The assembly time of the machine depends on two inter-related optimization problems: the component sequencing problem and the feeder arrangement problem. Nevertheless, they were often regarded as two individual problems and solved separately. This paper proposes two complete mathematical models for the integrated problem of the machine. The models are verified by two commercial packages. Finally, a hybrid genetic algorithm previously developed by the authors is presented to solve the model. The algorithm not only generates the optimal solutions quickly for small-sized problems, but also outperforms the genetic algorithms developed by other researchers in terms of total assembly time.

Suggested Citation

  • Ho, William & Ji, Ping, 2010. "Integrated component scheduling models for chip shooter machines," International Journal of Production Economics, Elsevier, vol. 123(1), pages 31-41, January.
    • Handle: RePEc:eee:proeco:v:123:y:2010:i:1:p:31-41
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    References listed on IDEAS

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    1. Lova, Antonio & Tormos, Pilar & Cervantes, Mariamar & Barber, Federico, 2009. "An efficient hybrid genetic algorithm for scheduling projects with resource constraints and multiple execution modes," International Journal of Production Economics, Elsevier, vol. 117(2), pages 302-316, February.
    2. Aristides Dikos & Peter Nelson & Thomas Tirpak & Weihsin Wang, 1997. "Optimization of high-mix printed circuit card assembly using genetic algorithms," Annals of Operations Research, Springer, vol. 75(0), pages 303-324, January.
    3. Crama, Yves & Flippo, Olaf E. & van de Klundert, Joris & Spieksma, Frits C. R., 1997. "The assembly of printed circuit boards: A case with multiple machines and multiple board types," European Journal of Operational Research, Elsevier, vol. 98(3), pages 457-472, May.
    4. Farahani, Reza Zanjirani & Elahipanah, Mahsa, 2008. "A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 229-243, February.
    5. Altinkemer, Kemal & Kazaz, Burak & Koksalan, Murat & Moskowitz, Herbert, 2000. "Optimization of printed circuit board manufacturing: Integrated modeling and algorithms," European Journal of Operational Research, Elsevier, vol. 124(2), pages 409-421, July.
    6. Klomp, Cornelis & van de Klundert, Joris & Spieksma, Frits C. R. & Voogt, Siem, 2000. "The feeder rack assignment problem in PCB assembly: A case study," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 399-407, March.
    7. ElMekkawy, T.Y. & Liu, S., 2009. "A new memetic algorithm for optimizing the partitioning problem of tandem AGV systems," International Journal of Production Economics, Elsevier, vol. 118(2), pages 508-520, April.
    8. Huang, Xiaoxia, 2007. "Optimal project selection with random fuzzy parameters," International Journal of Production Economics, Elsevier, vol. 106(2), pages 513-522, April.
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    Cited by:

    1. Jihee Han & Yoonho Seo, 2017. "Mechanism to minimise the assembly time with feeder assignment for a multi-headed gantry and high-speed SMT machine," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2930-2949, May.
    2. Battaïa, Olga & Dolgui, Alexandre & Guschinsky, Nikolai, 2023. "MIP-based heuristics for combinatorial design of reconfigurable rotary transfer machines for production of multiple parts," International Journal of Production Economics, Elsevier, vol. 262(C).
    3. Ma, N., 2014. "Optimal scope of supply chain network & operations design," Other publications TiSEM e6187708-b664-44bf-aef8-f, Tilburg University, School of Economics and Management.

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