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Dynamic Lot-Sizing Models with Pricing for New Products

Author

Listed:
  • Xiang Wu

    (EM - EMLyon Business School)

  • Yeming Gong
  • Haoxuan Xu
  • Chengbin Chu
  • Jinlong Zhang

Abstract

While previous dynamic lot-sizing (DLS) models mainly consider mature products, this study analyzes production planning decisions for new products. The demand dynamics caused by new product diffusion complicate production decisions for new products. We integrate DLS and discrete Bass models to provide optimal decisions for pricing and production planning problems. Moreover, we study the joint influence of product diffusion and pricing parameters on the DLS decisions. This leads to the following insights. First, coordinated production-pricing and dynamic pricing improve profitability. Second, the optimal pricing strategy is affected by market conditions. The penetration pricing strategy outperforms the skimming pricing strategy when consumers are less sensitive to relative price changes than to the introductory price, when the product diffuses slowly, or when the consumer initiative level is low. Otherwise, the latter outperforms the former. Finally, pricing strategies and product diffusion patterns reshape the cost structure of a firm. Coordinated decisions and dynamic pricing strategy substantially reduce the cost-revenue ratio, whereas an increase in the consumer initiative level or product diffusion speed can improve cost efficiency.

Suggested Citation

  • Xiang Wu & Yeming Gong & Haoxuan Xu & Chengbin Chu & Jinlong Zhang, 2017. "Dynamic Lot-Sizing Models with Pricing for New Products," Post-Print hal-02311963, HAL.
  • Handle: RePEc:hal:journl:hal-02311963
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    Cited by:

    1. Xiaoyu Li & Jiahong Yuan & Yan Shi & Tianteng Wang & Xiangpei Hu & Felix Tung Sun Chan & Junhu Ruan, 2020. "An extended Bass Model on consumer quantity of B2C commerce platforms," Electronic Commerce Research, Springer, vol. 20(3), pages 609-628, September.
    2. Ghobadi, Somayeh Najafi- & Bagherinejad, Jafar & Taleizadeh, Ata Allah, 2021. "A two-generation new product model by considering forward-looking customers: Dynamic pricing and advertising optimization," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).

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