IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/7147.html
   My bibliography  Save this paper

It support for mass customization

Author

Listed:
  • van Asperen, E.
  • Pinchetti, T.
  • van Wezel, M.C.

Abstract

Many authors have written about Mass Customization and its features and categories. Literature on the implementation of Mass Customization, and in particular the supporting information technology, is scant. This paper attempts to fill this gap by focusing on this subject. We determine the key functional requirements and identify possible implementations to show the existence of enabling information technologies for Mass Customization.

Suggested Citation

  • van Asperen, E. & Pinchetti, T. & van Wezel, M.C., 2005. "It support for mass customization," Econometric Institute Research Papers EI 2005-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:7147
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/7147/ei2005-52.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Carman K. M. & Lau, Henry C. W. & Yu, K. M. & Fung, Richard Y. K., 2004. "Development of a dynamic data interchange scheme to support product design in agile manufacturing," International Journal of Production Economics, Elsevier, vol. 87(3), pages 295-308, February.
    2. MacCarthy, Bart & Brabazon, Philip G. & Bramham, Johanna, 2003. "Fundamental modes of operation for mass customization," International Journal of Production Economics, Elsevier, vol. 85(3), pages 289-304, September.
    Full references (including those not matched with items on IDEAS)

    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. Laurent Lim, Lâm & Alpan, Gülgün & Penz, Bernard, 2014. "Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach," International Journal of Production Economics, Elsevier, vol. 151(C), pages 20-36.
    2. Lyons, Andrew Charles & Um, Juneho & Sharifi, Hossein, 2020. "Product variety, customisation and business process performance: A mixed-methods approach to understanding their relationships," International Journal of Production Economics, Elsevier, vol. 221(C).
    3. Sandrin, Enrico & Trentin, Alessio & Forza, Cipriano, 2018. "Leveraging high-involvement practices to develop mass customization capability: A contingent configurational perspective," International Journal of Production Economics, Elsevier, vol. 196(C), pages 335-345.
    4. Daniela D. Viana & Iris D. Tommelein & Carlos T. Formoso, 2017. "Using Modularity to Reduce Complexity of Industrialized Building Systems for Mass Customization," Energies, MDPI, vol. 10(10), pages 1-17, October.
    5. repec:umc:wpaper:0814 is not listed on IDEAS
    6. Saghiri, Soroosh S. & Barnes, Stuart J., 2016. "Supplier flexibility and postponement implementation: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 173(C), pages 170-183.
    7. Mason, Robert & Lalwani, Chandra, 2008. "Mass customised distribution," International Journal of Production Economics, Elsevier, vol. 114(1), pages 71-83, July.
    8. Zhang, Min & Zhao, Xiande & Qi, Yinan, 2014. "The effects of organizational flatness, coordination, and product modularity on mass customization capability," International Journal of Production Economics, Elsevier, vol. 158(C), pages 145-155.
    9. Giannikas, Vaggelis & McFarlane, Duncan, 2021. "Examining the value of flexible logistics offerings," European Journal of Operational Research, Elsevier, vol. 290(3), pages 968-981.
    10. Chang, Pei-Chann & Hsieh, Jih-Chang & Liu, Chen-Hao, 2006. "A case-injected genetic algorithm for single machine scheduling problems with release time," International Journal of Production Economics, Elsevier, vol. 103(2), pages 551-564, October.
    11. Ng, Irene & Scharf, Kimberley & Pogrebna, Ganna & Maull, Roger, 2015. "Contextual variety, Internet-of-Things and the choice of tailoring over platform: Mass customisation strategy in supply chain management," International Journal of Production Economics, Elsevier, vol. 159(C), pages 76-87.
    12. Buergin, Jens & Hammerschmidt, Andreas & Hao, Han & Kramer, Sergej & Tutsch, Hansjoerg & Lanza, Gisela, 2019. "Robust order planning with planned orders for multi-variant series production in a production network," International Journal of Production Economics, Elsevier, vol. 210(C), pages 107-119.
    13. Lai, Hsin-Hsi & Lin, Yang-Cheng & Yeh, Chung-Hsing & Wei, Chien-Hung, 2006. "User-oriented design for the optimal combination on product design," International Journal of Production Economics, Elsevier, vol. 100(2), pages 253-267, April.
    14. Huang, Tsu-Te (Andrew) & Chen, Le & Stewart, Rodney A. & Panuwatwanich, Kriengsak, 2013. "Leveraging power of learning capability upon manufacturing operations," International Journal of Production Economics, Elsevier, vol. 145(1), pages 233-252.
    15. Yao, Jianming & Liu, Liwen, 2009. "Optimization analysis of supply chain scheduling in mass customization," International Journal of Production Economics, Elsevier, vol. 117(1), pages 197-211, January.
    16. Huayan Shen & Zhiyong Ou & Kexin Bi & Yu Gao, 2023. "Impact of Customer Predictive Ability on Sustainable Innovation in Customized Enterprises," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    17. Calle, Marcos & González-R, Pedro L. & Leon, Jose M. & Pierreval, Henri & Canca, David, 2016. "Integrated management of inventory and production systems based on floating decoupling point and real-time information: A simulation based analysis," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 48-57.
    18. Wang, Qiang & Zhao, Xiande & Voss, Chris, 2016. "Customer orientation and innovation: A comparative study of manufacturing and service firms," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 221-230.
    19. Tookanlou, Parisa Bagheri & Wong, Hartanto, 2020. "Determining the optimal customization levels, lead times, and inventory positioning in vertical product differentiation," International Journal of Production Economics, Elsevier, vol. 221(C).
    20. Hua Tan, Kim & Peng Lim, Chee & Platts, Ken & Shen Koay, Hooi, 2006. "An intelligent decision support system for manufacturing technology investments," International Journal of Production Economics, Elsevier, vol. 104(1), pages 179-190, November.
    21. Aurelio Montalto & Serena Graziosi & Monica Bordegoni & Luca Di Landro & Michael Johannes Leonardus Tooren, 2020. "An approach to design reconfigurable manufacturing tools to manage product variability: the mass customisation of eyewear," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 87-102, January.

    More about this item

    Keywords

    information technology; mass customization;

    Statistics

    Access and download statistics

    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:ems:eureir:7147. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.html .

    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.