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A novel hybrid assembly method to reduce operational costs of selective assembly

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  • Mencaroni, Andrea
  • Claeys, Dieter
  • De Vuyst, Stijn

Abstract

Selective assembly is a technique whereby components are smartly matched depending on their measured feature values. Although it can reduce scrap by allowing more relaxed tolerances on components when compared to traditional random assembly, it is often not adopted due to the high related operational costs. Therefore, this study proposes a novel hybrid strategy whereby a number of traditional assembly rounds are performed before switching to selective assembly. At each round, the components which did not lead to a feasible assembly are put into their respective unmatched piles and are used for the next traditional assembly round. When N such rounds have been performed, the remaining unmatched components will finally be assembled via selective assembly.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:proeco:v:264:y:2023:i:c:s0925527323001986
    DOI: 10.1016/j.ijpe.2023.108966
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    References listed on IDEAS

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    1. 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.
    2. Matthias Tan & C. Wu, 2012. "Generalized selective assembly," IISE Transactions, Taylor & Francis Journals, vol. 44(1), pages 27-42.
    3. 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.
    4. 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.
    5. Abolfazl Rezaei Aderiani & Kristina Wärmefjord & Rikard Söderberg & Lars Lindkvist, 2019. "Developing a selective assembly technique for sheet metal assemblies," International Journal of Production Research, Taylor & Francis Journals, vol. 57(22), pages 7174-7188, November.
    6. 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.
    7. Mahalingam Sivakumar & Nagarajan Lenin & Kandasamy Jayakrishna & Natarajan Eswara Prasath, 2021. "Minimizing Cost of Assembly of an Interrelated Dimensional Chain Product Using ABC Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-23, July.
    8. J. Rajesh Babu & A. Asha, 2015. "Modelling in selective assembly with symmetrical interval-based Taguchi loss function for minimising assembly loss and clearance variation," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 29(5/6), pages 288-308.
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    1. 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).

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