Assessing the Bullwhip effect in supply chain: trends, gaps, and overlaps

IF 0.8 Q4 ENGINEERING, INDUSTRIAL
Diego Tamayo, Javier Orjuela-Castro, Milton Herrera
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引用次数: 0

Abstract

Due to operational and behavioral factors, the Bullwhip effect (BWE) arises with variations in the logistics flow, yielding uncertainty and disturbances along the supply chain (SC). Previous studies have discussed isolated approaches, underestimating the influence of behavioral aspects over operational ones, and multi-factor analysis, which helps to measure and diminish the BWE. This study systematically assesses the bodies of knowledge to identify new trends, emphasizing gaps and overlaps to underly behavioral-operational links and multi-factor scenarios through a unified frame of reference built during the paper review. The results from this research spot new BWE trends like COVID and closed-loop supply chain (CLSC) driven by disruption and return flows; the influence of behavioral causes over pricing, returning flows, production capacity, and batching; the combination of multi-factor topics like pricing, production capacity, synchronization, and order batching. This overview contributes to understanding new trends and connections in the issues, highlighting logistic challenges and opportunities to explore future studies with a broader scope. It also elucidates the BWE causes and how to handle them, which could assist in comprehending its effects and advantages on the technical elements of logistics.
评估供应链中的牛鞭效应:趋势、差距和重叠
由于操作和行为因素,牛鞭效应(BWE)会随着物流流的变化而产生,从而导致供应链(SC)上的不确定性和干扰。以往的研究讨论了孤立的方法(低估了行为方面对操作方面的影响)和多因素分析(有助于衡量和减少牛鞭效应)。本研究系统地评估了这些知识体系,以确定新的趋势,强调差距和重叠,通过在论文审查过程中建立的统一参考框架来确定行为-操作联系和多因素方案。研究结果发现了新的 BWE 趋势,如由中断和回流驱动的 COVID 和闭环供应链(CLSC);行为原因对定价、回流、产能和分批的影响;定价、产能、同步和订单分批等多因素主题的组合。本综述有助于了解这些问题的新趋势和联系,突出物流方面的挑战和机遇,以探索未来范围更广的研究。它还阐明了 BWE 的成因和处理方法,有助于理解其对物流技术要素的影响和优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acta Logistica
Acta Logistica Engineering-Industrial and Manufacturing Engineering
CiteScore
1.80
自引率
28.60%
发文量
36
审稿时长
4 weeks
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