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Introduction to Computational Optimization Models for Production Planning in a Supply Chain

Author

Listed:
  • Stefan Voß

    (Universität Hamburg)

  • David L. Woodruff

    (UC Davis)

Abstract

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Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Stefan Voß & David L. Woodruff, 2006. "Introduction to Computational Optimization Models for Production Planning in a Supply Chain," Springer Books, Springer, edition 0, number 978-3-540-29879-3, December.
    • Handle: RePEc:spr:sprbok:978-3-540-29879-3
    DOI: 10.1007/3-540-29879-7
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    Citations

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    Cited by:

    1. Keshvari, Abolfazl & Kuosmanen, Timo, 2013. "Stochastic non-convex envelopment of data: Applying isotonic regression to frontier estimation," European Journal of Operational Research, Elsevier, vol. 231(2), pages 481-491.
    2. Missbauer, Hubert, 2011. "Order release planning with clearing functions: A queueing-theoretical analysis of the clearing function concept," International Journal of Production Economics, Elsevier, vol. 131(1), pages 399-406, May.
    3. Missbauer, Hubert, 2009. "Models of the transient behaviour of production units to optimize the aggregate material flow," International Journal of Production Economics, Elsevier, vol. 118(2), pages 387-397, April.
    4. Corominas, Albert & Lusa, Amaia & Olivella, Jordi, 2012. "A detailed workforce planning model including non-linear dependence of capacity on the size of the staff and cash management," European Journal of Operational Research, Elsevier, vol. 216(2), pages 445-458.
    5. Gopalswamy, Karthick & Uzsoy, Reha, 2021. "Conic programming models for production planning with clearing functions: Formulations and duality," European Journal of Operational Research, Elsevier, vol. 292(3), pages 953-966.
    6. Ítalo Ruan Barbosa de Aquino & Josenildo Ferreira da Silva Junior & Patricia Guarnieri & Lucio Camara e Silva, 2020. "The Proposition of a Mathematical Model for the Location of Electrical and Electronic Waste Collection Points," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
    7. de Kruijff, Joost T. & Hurkens, Cor A.J. & de Kok, Ton G., 2018. "Integer programming models for mid-term production planning for high-tech low-volume supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 984-997.
    8. Staeblein, Thomas & Aoki, Katsuki, 2015. "Planning and scheduling in the automotive industry: A comparison of industrial practice at German and Japanese makers," International Journal of Production Economics, Elsevier, vol. 162(C), pages 258-272.
    9. Fan, Yingjie & Schwartz, Frank & Voß, Stefan, 2017. "Flexible supply chain planning based on variable transportation modes," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 654-666.
    10. Ge, Liping & Voß, Stefan, 2009. "ERP application in China: An overview," International Journal of Production Economics, Elsevier, vol. 122(1), pages 501-507, November.
    11. Slama, Ilhem & Ben-Ammar, Oussama & Thevenin, Simon & Dolgui, Alexandre & Masmoudi, Faouzi, 2022. "Stochastic program for disassembly lot-sizing under uncertain component refurbishing lead times," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1183-1198.
    12. R Fildes & B Kingsman, 2011. "Incorporating demand uncertainty and forecast error in supply chain planning models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 483-500, March.
    13. Fowler, John W. & Mönch, Lars, 2022. "A survey of scheduling with parallel batch (p-batch) processing," European Journal of Operational Research, Elsevier, vol. 298(1), pages 1-24.
    14. Andrea Raiconi & Julia Pahl & Monica Gentili & Stefan Voß & Raffaele Cerulli, 2017. "Tactical Production and Lot Size Planning with Lifetime Constraints: A Comparison of Model Formulations," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(05), pages 1-24, October.
    15. Truong Hong Trinh, 2017. "The Dynamic Programming Models for Inventory Control System with Time-varying Demand," Business and Economic Research, Macrothink Institute, vol. 7(1), pages 128-138, June.
    16. Alexander Biele & Lars Mönch, 2018. "Hybrid approaches to optimize mixed-model assembly lines in low-volume manufacturing," Journal of Heuristics, Springer, vol. 24(1), pages 49-81, February.
    17. Körpeoglu, Ersin & Yaman, Hande & Selim Aktürk, M., 2011. "A multi-stage stochastic programming approach in master production scheduling," European Journal of Operational Research, Elsevier, vol. 213(1), pages 166-179, August.
    18. Julia Pahl & Stefan Voß & David Woodruff, 2007. "Production planning with load dependent lead times: an update of research," Annals of Operations Research, Springer, vol. 153(1), pages 297-345, September.

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