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Supply Chain Engineering

供应链工程

基本信息

批准号：
182498527
负责人：
Professor Dr. Ulrich Thonemann, Ph.D.
金额：
--
依托单位：
The University of Texas at Dallas
依托单位国家：
德国
项目类别：
Research Units
财政年份：
2011
资助国家：
德国
起止时间：
2010-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/182498527?language=en
关键词：
Supply Chain Engineering

项目摘要

Supply chain management analyzes the coordination of actions across companies. Traditional supply chain models assume expected profit-maximizing decision makers and analyze coordination mechanisms that optimize decision making under this assumption. However, recent studies using laboratory experiments suggest that actual decisions deviate from predictions of those traditional models. During the first phase of the project, we have analyzed one of the main coordination mechanisms, supply contracts, in detail. We have studied the role of cognitive limitations and decision biases, such as anchoring, and motivations such as risk- and loss aversion in individual decision making and social preferences, such as fairness and trust, in social contexts for supply chain models. In our research on service level contracts, for instance, we studied the anchoring bias, and in our research on wholesale price contracts and forecast sharing, we studied social preferences and the role of fairness concerns on decision making. The results of the first funding period have provided us with a good understanding of the decision biases and selfish and social preferences that are relevant. Most results were obtained using mathematical models in combination with laboratory experiments, but we also used field data. During the second phase of the project, we will extend our research in two directions. In the first subproject on optimizing supply chain contract design, we will use the insights that we have gained from the first phase to design contracts and implement them in the field. At a major German retailer, we will design and implement a service level contract in a randomized field experiment. Besides analyzing the effect of contract parameters on order decisions, we will analyze how information should be pre-processed to reduce decision biases. At a global pharmaceutical company, we will analyze the effect of the sales incentive scheme on forecasting, again in a randomized field experiment. Both field experiments will be an important validation of theoretical and laboratory results. In the second subproject on supply chain contract negotiations, we will build mathematical models and conduct laboratory experiments to analyze the interaction between supply chain partners. While we have analyzed how decisions makers respond to given contracts in the first phase of the project, we will allow for negotiation on the contract parameters in the second phase and analyze how negotiation protocols affect the outcomes. We will also analyze the effect of bargaining protocols when contracts are incomplete. The results of the first phase of the project have allowed us to gain a solid understanding of the biases and preferences that are relevant in supply chain management. In the second phase, we will use the insights to engineer actual contracts and incentive systems and we will analyze how negotiations of contracts should be structured to improve overall efficiency.

供应链管理分析了公司之间的行动协调。传统的供应链模型假设期望利润最大化的决策者和分析协调机制，优化决策在此假设下。然而，最近使用实验室实验的研究表明，实际决策偏离了这些传统模型的预测。在项目的第一阶段，我们详细分析了主要协调机制之一，供应合同。我们已经研究了认知限制和决策偏差的作用，如锚定，和动机，如风险和损失规避在个人决策和社会偏好，如公平和信任，在社会背景下的供应链模型。例如，在我们对服务水平合同的研究中，我们研究了锚定偏差，在我们对批发价格合同和预测共享的研究中，我们研究了社会偏好和公平性问题在决策中的作用。第一个资助期的结果使我们对相关的决策偏见、自私和社会偏好有了很好的理解。大多数结果是通过数学模型结合室内实验获得的，但我们也使用了现场数据。在项目的第二阶段，我们将在两个方向上扩展我们的研究。在优化供应链合同设计的第一个子项目中，我们将使用我们在第一阶段获得的见解来设计合同并在现场实施。在一个主要的德国零售商，我们将设计和实施一个服务水平合同在随机现场实验。除了分析契约参数对订单决策的影响外，我们还将分析如何对信息进行预处理以减少决策偏差。在一家全球性制药公司，我们将再次在随机现场实验中分析销售激励计划对预测的影响。这两个现场实验将是理论和实验室结果的重要验证。在第二个供应链合同谈判子项目中，我们将建立数学模型并进行实验室实验，以分析供应链合作伙伴之间的互动。虽然我们已经分析了决策者如何在项目的第一阶段对给定的合同做出反应，但我们将允许在第二阶段就合同参数进行谈判，并分析谈判协议如何影响结果。我们还将分析当合同不完全时讨价还价协议的效果。该项目第一阶段的结果使我们能够深入了解与供应链管理相关的偏见和偏好。在第二阶段，我们将利用这些见解设计实际的合同和激励制度，并分析合同谈判应如何构建以提高整体效率。