IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v207y2019icp56-69.html
   My bibliography  Save this article

An economic decision model for selective assembly

Author

Listed:
  • Caputo, Antonio C.
  • Di Salvo, Girolamo

Abstract

In case of assemblies requiring a close fit, strict tolerances must be specified resulting in high manufacturing costs. In such cases, selective assembly may be adopted as a cheaper alternative to traditional interchangeable parts assembly. In selective assembly wider tolerances can be specified, thus reducing processing cost, and manufactured parts are sorted into groups by dimensions so that only parts from matching groups are assembled. The choice between selective and traditional assembly, however, requires comparing the cost of the two options, but literature is lacking as far as selective assembly cost models are concerned. In this paper a managerial economic model is developed to quickly compare cost of traditional and selective assembly in order to identify the lower cost option. The model includes machining and materials cost, including scrapped parts, as well as gauging/sorting cost and work in process holding cost. A sensitivity analysis as well as a numerical case study exemplifies model application also showing trade-offs between the relevant parameters.

Suggested Citation

  • Caputo, Antonio C. & Di Salvo, Girolamo, 2019. "An economic decision model for selective assembly," International Journal of Production Economics, Elsevier, vol. 207(C), pages 56-69.
  • Handle: RePEc:eee:proeco:v:207:y:2019:i:c:p:56-69
    DOI: 10.1016/j.ijpe.2018.11.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527318304432
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2018.11.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matthias Tan & C. Wu, 2012. "Generalized selective assembly," IISE Transactions, Taylor & Francis Journals, vol. 44(1), pages 27-42.
    2. Chen, Mu-Chen, 2001. "Tolerance synthesis by neural learning and nonlinear programming," International Journal of Production Economics, Elsevier, vol. 70(1), pages 55-65, March.
    3. Irianto, Dradjad, 1996. "Inspection and correction policies in setting economic product tolerance," International Journal of Production Economics, Elsevier, vol. 46(1), pages 587-593, December.
    4. Hyuck‐Moo Kwon & Kwang‐Jae Kim & M. Jeya Chandra, 1999. "An economic selective assembly procedure for two mating components with equal variance," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(7), pages 809-821, October.
    5. C.R. Coullard & A.B. Gamble & P.C. Jones, 1998. "Matching problems in selective assembly operations," Annals of Operations Research, Springer, vol. 76(0), pages 95-107, January.
    6. Yang, Christopher C. & Naikan, V. N. Achutha, 2003. "Optimum design of component tolerances of assemblies using constraint networks," International Journal of Production Economics, Elsevier, vol. 84(2), pages 149-163, May.
    7. A. Sanz-Lobera & Emilio Gómez & Jesús Pérez & Lorenzo Sevilla, 2016. "A proposal of cost-tolerance models directly collected from the manufacturing process," International Journal of Production Research, Taylor & Francis Journals, vol. 54(15), pages 4584-4598, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Toyin Clottey & W. C. Benton, 2021. "On Sharing Part Dimensions Information and Its Impact on Design Tolerances In Fixed‐Bin Selective Assembly," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4089-4104, November.
    2. Mencaroni, Andrea & Claeys, Dieter & De Vuyst, Stijn, 2023. "A novel hybrid assembly method to reduce operational costs of selective assembly," International Journal of Production Economics, Elsevier, vol. 264(C).
    3. Mencaroni, Andrea & Claeys, Dieter & Raa, Birger & De Vuyst, Stijn, 2024. "A quantitative framework to support the decision between traditional, selective, and hybrid assembly," International Journal of Production Economics, Elsevier, vol. 273(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Toyin Clottey & W. C. Benton, 2020. "Sharing Quality‐Distribution Information for the Selective Assembly of Intermediary Components in the Automotive Industry," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 174-191, January.
    2. Toyin Clottey & W. C. Benton, 2021. "On Sharing Part Dimensions Information and Its Impact on Design Tolerances In Fixed‐Bin Selective Assembly," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4089-4104, November.
    3. Mencaroni, Andrea & Claeys, Dieter & De Vuyst, Stijn, 2023. "A novel hybrid assembly method to reduce operational costs of selective assembly," International Journal of Production Economics, Elsevier, vol. 264(C).
    4. Mencaroni, Andrea & Claeys, Dieter & Raa, Birger & De Vuyst, Stijn, 2024. "A quantitative framework to support the decision between traditional, selective, and hybrid assembly," International Journal of Production Economics, Elsevier, vol. 273(C).
    5. Otsuka, Akimasa & Nagata, Fusaomi, 2018. "Quality design method using process capability index based on Monte-Carlo method and real-coded genetic algorithm," International Journal of Production Economics, Elsevier, vol. 204(C), pages 358-364.
    6. dos Santos Coelho, Leandro, 2009. "Self-organizing migration algorithm applied to machining allocation of clutch assembly," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(2), pages 427-435.
    7. A Ghoniem & H D Sherali, 2011. "Set partitioning and packing versus assignment formulations for subassembly matching problems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 2023-2033, November.
    8. Yang, Christopher C. & Naikan, V. N. Achutha, 2003. "Optimum design of component tolerances of assemblies using constraint networks," International Journal of Production Economics, Elsevier, vol. 84(2), pages 149-163, May.
    9. Hsu, Chih-Ming, 2004. "An integrated approach to enhance the optical performance of couplers based on neural networks, desirability functions and tabu search," International Journal of Production Economics, Elsevier, vol. 92(3), pages 241-254, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:207:y:2019:i:c:p:56-69. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.