运筹与管理 ›› 2025, Vol. 34 ›› Issue (11): 224-231.DOI: 10.12005/orms.2025.0366

• 管理科学 • 上一篇    下一篇

创新减少成本下产出和创新强度联合决策

代建生   

  1. 燕山大学 经济管理学院,河北 秦皇岛 066000
  • 收稿日期:2024-07-18 出版日期:2025-11-25 发布日期:2026-03-30
  • 作者简介:代建生(1978-),男,四川华蓥人,博士,教授,研究方向: 运营管理。Email: jiansheng.dai@163.com。
  • 基金资助:
    国家自然科学基金资助项目(71762021);河北省自然科学基金项目(G2025203021)

Joint Decision-making on Yield and Innovation Intensityunder Cost-reducing Innovation

DAI Jiansheng   

  1. School of Economics and Management, Yanshan University, Qinhuangdao 066000, China
  • Received:2024-07-18 Online:2025-11-25 Published:2026-03-30

摘要: 在技术创新迭代加快且需求随机的背景下,探讨了技术创新减少生产成本下制造企业的创新决策问题。通过构建二元优化的报童模型,求解了制造企业关于产出和创新强度的最优策略。通过对市场需求分布函数施加较为一般的限制,刻画了上述优化问题存在唯一解的充分条件。探讨了创新能力对策略的影响,结果表明:当创新能力低于某一门槛值时,高的创新能力将导致更大的产出和更高的创新强度;当创新能力高于这一门槛值时,产出和创新强度维持在最高水平。分析了市场价格和技术创新前的生产成本对企业决策的影响,其中市场价格对企业的产出和创新强度有正向影响,而生产成本对两者的影响比较复杂。研究中提出了有关需求分布函数的假设,并提供了均匀分布、负指数分布和正态分布满足该假设的判断条件,对后续研究具有理论借鉴意义。最后通过数值算例验证了理论推导结果的正确性,并基于研究结论揭示了相应的管理启示。

关键词: 报童问题, 技术创新, 生产决策, 联合优化

Abstract: Technological innovation can reduce unit manufacturing costs, which in turn influences production decisions. Changes in production quantities can also affect the level of technological innovation. In this context, we address the joint decision-making problem of technology innovation intensity and product output for a manufacturing firm by constructing a newsvendor model involving two decision variables. First, we prove the existence of an optimal solution to this problem. Subsequently, we establish a sufficient condition-by imposing a mild restriction on the demand distribution function-that ensures the uniqueness of the solution. We then analyze the impact of the firm’s innovation capability, retail price and unit production cost on its strategic decisions with the following key findings:
   The firm’s innovation capability significantly influences both the intensity of technological innovation and its output strategy. Generally, higher innovation capability-up to a certain threshold-leads to greater output and stronger innovation intensity. Beyond this threshold, further increases in innovation capability no longer impact output or innovation intensity. Notably, if the firm has no innovation capability, no technological innovation will be undertaken.
   Retail price and unit production cost also play a critical role in determining both the intensity of technological innovation and the firm’s production strategy. Output and innovation intensity increase with retail price, though their relationship with unit production cost is more complex. As retail prices rise, output continues to increase, while innovation intensity grows until it reaches a maximum point. However, the relationship between innovation intensity and unit cost is not monotonic. There are two key exceptions: (1) when innovation capability is particularly strong, optimal innovation intensity will rise with production costs; and (2) output decreases as unit costs rise, especially when production costs at least double the minimum cost achievable with current technology. From an industry-wide perspective, firms with higher pre-innovation costs continue to face higher post-innovation costs than those with lower initial costs, despite adopting more intensive innovation strategies.
   Additionally, we propose a hypothesis regarding the demand distribution function that guarantees the uniqueness of the optimal solution. This hypothesis can serve as a reference for future research. Furthermore, we provide criteria to determine whether this hypothesis holds for uniform, negative exponential and normal distributions. Notably, the methods outlined in this paper, particularly for normal distribution, can be extended to other continuous distributions, such as the power, Weibull, gamma and beta distributions.

Key words: newsvendor problem, technological innovation, production decision, joint optimization

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