...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied Mathematical Modelling >Learning-by-doing may not be enough to sustain competitiveness in a market
【24h】

Learning-by-doing may not be enough to sustain competitiveness in a market

机译：边做边学可能不足以维持市场竞争力

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The economic order quantity model and its variants are the oldest reported scientific inventory models in the literature. They are mathematically simple to use and understand. This characteristic contributed to their popularity. However, they have limitations that restrict their application in practice. Researchers have extended those models by relaxing some of their restrictive assumptions. One of the main limitations of the EOQ model is the estimation of its cost parameters, such as setup and holding costs, which include some hidden (or difficult to estimate) components. Emerging research proposes using the second law of thermodynamics when to measure the hidden (entropy) costs of inventory systems. Another research stream focuses on learning-by-doing, which reduces the unit cost of a product, thus reducing its price and enhancing a firm's competitiveness. This paper assumes that a buyer receives a shipment from its vendor following the EOQ model. The buyer invests in the vendor's process to accelerate learning (mainly workers training, among other things). The buyer's unit purchase cost reduces because of learning at the vendor's side. The buyer's competitors also learn, increasing competitiveness. For this purpose, we develop an EOQ model where price-dependent demand is analogous to a heat transfer equation, which is used to determine the entropy cost. It accounts for improvement by learning as a result of the buyer's investment to compete in a market. The implementation and management of improvement programs are not usually smooth, resulting in disorder quantified by an entropy cost function. The developed EOQ model is investigated with and without entropy costs. Numerical results representing different scenarios are provided to illustrate the behavior of the models and identify the factors affecting the decision variables and, subsequently, the buyer's profitability. The results showed that in a competitive market, the buyer has to maintain a learning rate faster than those of its competitors to ensure a prolonged, but indefinite, profitability. The results also showed that investment in learning is meaningful when the competition is fierce. (C) 2019 Elsevier Inc. All rights reserved.
机译：经济订单数量模型及其变体是文献中报道最久的科学库存模型。它们在数学上易于使用和理解。这一特征促进了它们的流行。但是，它们具有局限性，限制了它们在实践中的应用。研究人员通过放宽一些限制性假设来扩展这些模型。 EOQ模型的主要限制之一是其成本参数的估计，例如设置和持有成本，其中包括一些隐藏（或难以估计）的组件。新兴研究建议在测量库存系统的隐性（熵）成本时使用热力学第二定律。另一个研究方向是边做边学，这可以降低产品的单位成本，从而降低产品价格并增强公司的竞争力。本文假设买方按照EOQ模型从其卖方那里收到了一批货物。买方在卖方的过程中进行投资，以加快学习速度（主要是工人培训等）。买方的单位购买成本由于在卖方方面的学习而减少。买方的竞争对手也可以学习，从而提高竞争力。为此，我们开发了一个EOQ模型，其中价格相关的需求类似于传热方程，该方程用于确定熵成本。它是通过学习购买者投资以参与市场竞争而获得的改善。改善计划的实施和管理通常不顺利，从而导致由熵成本函数量化的混乱。对开发的EOQ模型进行了有无熵成本的研究。提供了代表不同情况的数值结果，以说明模型的行为并确定影响决策变量的因素，进而确定买方的获利能力。结果表明，在竞争激烈的市场中，买方必须保持比竞争对手更快的学习速度，以确保延长但不确定的盈利能力。研究结果还表明，在激烈的竞争中，对学习的投资是有意义的。 （C）2019 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号