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Multi-site available-to-promise modeling for assemble-to-order manufacturing: An illustration on TFT-LCD manufacturing

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  • Tsai, Kune-muh
  • Wang, Shan-chi

Abstract

Available-to-promise (ATP) serves as a significant factor to enhance customer service in order promising. Most research regarding ATP considered only one plant and was not mainly developed under the make-to-order (MTO) or assemble-to-order (ATO) strategy. We constructed a generic three-stage model of multi-site ATP mechanism for ATO manufacturing and experimented on a local TFT-LCD manufacturer. We further tested eight scenarios of ATP allocation plans based on different cost structures in the objective functions to compare the ATP plans and performances. Results showed that we can obtain an appropriate ATP plan with proper cost structure.

Suggested Citation

  • Tsai, Kune-muh & Wang, Shan-chi, 2009. "Multi-site available-to-promise modeling for assemble-to-order manufacturing: An illustration on TFT-LCD manufacturing," International Journal of Production Economics, Elsevier, vol. 117(1), pages 174-184, January.
    • Handle: RePEc:eee:proeco:v:117:y:2009:i:1:p:174-184
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    References listed on IDEAS

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    Cited by:

    1. Zhang, Xiaochen & Zhang, Qingzhao & Ma, Shuangge & Fang, Kuangnan, 2022. "Subgroup analysis for high-dimensional functional regression," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    2. Yin-Yann Chen & Hsiao-Yao Fan, 2013. "The Multi-Site Order Fulfillment-Planning Model: A Global Corporation Case Study," Journal of Social and Development Sciences, AMH International, vol. 4(5), pages 236-241.
    3. Chou, Jui-Sheng & Tai, Yian & Chang, Lian-Ji, 2010. "Predicting the development cost of TFT-LCD manufacturing equipment with artificial intelligence models," International Journal of Production Economics, Elsevier, vol. 128(1), pages 339-350, November.
    4. Alexander Seitz & Martin Grunow, 2017. "Increasing accuracy and robustness of order promises," International Journal of Production Research, Taylor & Francis Journals, vol. 55(3), pages 656-670, February.
    5. Raphael Herding & Lars Mönch, 2024. "A rolling horizon planning approach for short-term demand supply matching," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 865-896, September.
    6. Han, Guanghua & Dong, Ming & Liu, Shaoxuan, 2014. "Yield and allocation management in a continuous make-to-stock system with demand upgrade substitution," International Journal of Production Economics, Elsevier, vol. 156(C), pages 124-131.
    7. Atan, Zümbül & Ahmadi, Taher & Stegehuis, Clara & Kok, Ton de & Adan, Ivo, 2017. "Assemble-to-order systems: A review," European Journal of Operational Research, Elsevier, vol. 261(3), pages 866-879.
    8. Xiao, Yongbo & Chen, Jian & Lee, Chung-Yee, 2010. "Optimal decisions for assemble-to-order systems with uncertain assembly capacity," International Journal of Production Economics, Elsevier, vol. 123(1), pages 155-165, January.
    9. Seitz, Alexander & Grunow, Martin & Akkerman, Renzo, 2020. "Data driven supply allocation to individual customers considering forecast bias," International Journal of Production Economics, Elsevier, vol. 227(C).
    10. Ben Ali, M. & D’Amours, S. & Gaudreault, J. & Carle, M-A., 2018. "Configuration and evaluation of an integrated demand management process using a space-filling design and Kriging metamodeling," Operations Research Perspectives, Elsevier, vol. 5(C), pages 45-58.

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