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Supply Chain Inventory Replenishment: The Debiasing Effect of Declarative Knowledge

机译：供应链库存补给：陈述性知识的反偏作用

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摘要

Previous experimental research demonstrates that inefficient replenishment decision making in the supply chain can be caused by specific judgment and decision biases. Based on the literature we use controlled experiments involving both student subjects and supply chain managers to test debiasing interventions that provide declarative knowledge, which is theorized to enhance the acquisition of procedural knowledge. We first investigate the effects of three debiasing components in a single-echelon setting: knowledge of bullwhip, inventory position (IP), and use of a target order-up-to quantity. Experiment 1 (N = 1,608 decisions by 67 student subjects) using a 2 × 2 × 2 factorial design for the three components finds that the conceptual understanding of IP is salient for efficient replenishment decisions. We next examine the effects of the components in a simulated, multi-echelon, serial supply chain, which introduces the additional complexity of coordination risk. Experiment 2 (N = 3,072 decisions by 128 student subjects) using a 2 × 2 × 2 factorial design finds that although subjects benefit from training components, there is evidence of cognitive overload with an increased quantity of information. Finally we test whether these debiasing components may be an effective training program for practicing supply chain managers who can be expected to have higher levels of procedural knowledge through experience gained in the field. Experiment 3 (N = 864 decisions by 36 supply chain managers) using a 2 × 1 design investigates the effects of an instructional training intervention which includes all three debiasing components and finds the intervention to reduce costs by 14%. We provide avenues for future research and successful practice. [Submitted: February 2010. Revised: June 13, 2011; September 12, 2011. Accepted: October 10, 2011.]
机译：先前的实验研究表明，供应链中的补货决策效率低下可能是由特定的判断和决策偏见引起的。根据文献，我们使用涉及学生科目和供应链管理者的受控实验来测试提供陈述性知识的去偏见干预，从理论上讲，这可以增强程序知识的获取。我们首先研究在单层环境中三个反偏差成分的影响：牛鞭知识，库存头寸（IP）和使用目标定购数量的方法。实验1（由67个学生科目组成的N = 1,608个决定）针对两个组成部分使用2×2×2阶乘设计，发现对IP的概念理解对于有效的补给决定非常重要。接下来，我们将研究模拟的多级串行供应链中组件的影响，这会带来协调风险的额外复杂性。使用2×2×2阶乘设计的实验2（N = 3,072个决定，由128个学生科目决定）发现，尽管科目得益于训练成分，但有证据表明认知负荷过大且信息量增加。最后，我们测试这些消除偏差的因素是否可能是对供应链管理人员的有效培训计划，他们可以通过在该领域获得的经验来期望具有更高水平的程序知识。实验3（由36个供应链管理人员进行的N = 864项决定）采用2×1设计，研究了包括所有三个去偏差成分的教学培训干预措施的效果，并发现该干预措施可将成本降低14％。我们为将来的研究和成功的实践提供了途径。 [提交：2010年2月。修订：2011年6月13日； 2011年9月12日。接受：2011年10月10日。]

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  • 来源
    《Decision Sciences》 |2012年第3期|p.525-546|共22页
  • 作者

    Travis Tokar; John A. Aloysius; Matthew A. Waller;

  • 作者单位

    Information Systems and Supply Chain Management, Texas Christian University, Neeley School of Business, TCU Box 298530, Fort Worth, TX 76129;

    Information Systems and Supply Chain Management, Texas Christian University, Neeley School of Business, TCU Box 298530, Fort Worth, TX 76129;

    Department of Supply Chain Management, University of Arkansas, Sam M. Walton College of Business, 475 WCOB, Fayetteville, AR 72701;

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  • 正文语种 eng
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  • 关键词

    debiasing; experiment; inventory; replenishment; and training;

    机译：去偏实验;库存;补给;和训练;

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