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Particle swarm optimization for bi-level pricing problems in supply chains

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  • Ya Gao
  • Guangquan Zhang
  • Jie Lu
  • Hui-Ming Wee

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  • Ya Gao & Guangquan Zhang & Jie Lu & Hui-Ming Wee, 2011. "Particle swarm optimization for bi-level pricing problems in supply chains," Journal of Global Optimization, Springer, vol. 51(2), pages 245-254, October.
    • Handle: RePEc:spr:jglopt:v:51:y:2011:i:2:p:245-254
    DOI: 10.1007/s10898-010-9595-8
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    References listed on IDEAS

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    1. Benjamin Lev & Howard J. Weiss, 1990. "Inventory Models with Cost Changes," Operations Research, INFORMS, vol. 38(1), pages 53-63, February.
    2. Calvete, Herminia I. & Gale, Carmen & Mateo, Pedro M., 2008. "A new approach for solving linear bilevel problems using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 188(1), pages 14-28, July.
    3. Erel, E, 1992. "The effect of continuous price change in the EOQ," Omega, Elsevier, vol. 20(4), pages 523-527, July.
    4. Hai Yu & Chuangyin Dang & Shou-Yang Wang, 2006. "Game Theoretical Analysis Of Buy-It-Now Price Auctions," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 557-581.
    5. P C Yang & H M Wee & J C P Yu, 2007. "Collaborative pricing and replenishment policy for hi-tech industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(7), pages 894-900, July.
    6. Guangquan Zhang & Jie Lu, 2010. "Fuzzy bilevel programming with multiple objectives and cooperative multiple followers," Journal of Global Optimization, Springer, vol. 47(3), pages 403-419, July.
    7. André Gascon, 1995. "On the Finite Horizon EOQ Model with Cost Changes," Operations Research, INFORMS, vol. 43(4), pages 716-717, August.
    8. Khouja, Moutaz & Park, Sungjune, 2003. "Optimal lot sizing under continuous price decrease," Omega, Elsevier, vol. 31(6), pages 539-545, December.
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    Citations

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    Cited by:

    1. Chen, Xu & Li, Ling & Zhou, Ming, 2012. "Manufacturer's pricing strategy for supply chain with warranty period-dependent demand," Omega, Elsevier, vol. 40(6), pages 807-816.
    2. Chung-Yuan Dye & Tsu-Pang Hsieh, 2013. "A particle swarm optimization for solving lot-sizing problem with fluctuating demand and preservation technology cost under trade credit," Journal of Global Optimization, Springer, vol. 55(3), pages 655-679, March.
    3. Grzegorz Sroka & Mariusz Oszust, 2021. "Approximation of the Constant in a Markov-Type Inequality on a Simplex Using Meta-Heuristics," Mathematics, MDPI, vol. 9(3), pages 1-10, January.
    4. Ata Allah Taleizadeh, 2017. "Stochastic Multi-Objectives Supply Chain Optimization with Forecasting Partial Backordering Rate: A Novel Hybrid Method of Meta Goal Programming and Evolutionary Algorithms," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-28, August.
    5. Qiu, Xuan & Huang, George Q., 2016. "Transportation service sharing and replenishment/delivery scheduling in Supply Hub in Industrial Park (SHIP)," International Journal of Production Economics, Elsevier, vol. 175(C), pages 109-120.
    6. Sunil Tiwari & Chandra K. Jaggi & Asoke Kumar Bhunia & Ali Akbar Shaikh & Mark Goh, 2017. "Two-warehouse inventory model for non-instantaneous deteriorating items with stock-dependent demand and inflation using particle swarm optimization," Annals of Operations Research, Springer, vol. 254(1), pages 401-423, July.

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