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Titlebook: Handbook of Ripple Effects in the Supply Chain; Dmitry Ivanov,Alexandre Dolgui,Boris Sokolov Book 2019 Springer Nature Switzerland AG 2019

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發(fā)表于 2025-3-21 18:55:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Handbook of Ripple Effects in the Supply Chain
編輯Dmitry Ivanov,Alexandre Dolgui,Boris Sokolov
視頻videohttp://file.papertrans.cn/423/422113/422113.mp4
概述First book to specifically address Ripple Effect in the supply chain.Presents techniques for mitigating risk in industrial and service supply chains.Editors are a prestigious group at the forefront of
叢書(shū)名稱(chēng)International Series in Operations Research & Management Science
圖書(shū)封面Titlebook: Handbook of Ripple Effects in the Supply Chain; Dmitry Ivanov,Alexandre Dolgui,Boris Sokolov Book 2019 Springer Nature Switzerland AG 2019
描述This book offers an introduction to the ripple effect in the supply chain for a broad audience comprising recent developments. The chapters of this handbook are written by leading experts in supply chain risk management and resilience. For the first time, the chapters present in their synergy a multiple-faceted view of the ripple effect in supply chains, while considering organization, optimization, and informatics perspectives.?.Ripple effect describes the impact of a disruption propagation on supply chain performance, structural designs and operational parameters. The ripple effect manifests when the impact of a disruption cannot be localized and cascades along the supply chain. The resulting structural dynamics can lead to capacity and demand fulfilment downscaling and negatively influence the firm’s financial and operational performance. The book delineates major features of the ripple effect and methodologies to mitigate the adverse impact of supply chain disruption propagation and to recover in case of severe disruptions.?.The book provides fresh insights for supply chain management and engineering regarding the following questions:?.- In what circumstance does one failure ca
出版日期Book 2019
關(guān)鍵詞Supply Chain Management; Supply Chain Risk; Supply Chain Ripple Effect; Supply Chain Disruption; Disrupt
版次1
doihttps://doi.org/10.1007/978-3-030-14302-2
isbn_ebook978-3-030-14302-2Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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書(shū)目名稱(chēng)Handbook of Ripple Effects in the Supply Chain影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Handbook of Ripple Effects in the Supply Chain網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Handbook of Ripple Effects in the Supply Chain網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




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Handbook of Ripple Effects in the Supply Chain978-3-030-14302-2Series ISSN 0884-8289 Series E-ISSN 2214-7934
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Dmitry Ivanov,Alexandre Dolgui,Ajay Das,Boris Sokolovasic processing units, which are tightly interconnected and operate on the given inputs to process the information and generate desired outputs. Neural networks can be grouped into two generic categories based on the way the information is propagated in the network.
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Bullwhip Effect of Multiple Products with Interdependent Product Demands,e show that interdependency impacts whether the firm should manage ordering and inventory decisions at the category level or at the product level, and whether the bullwhip effect measure computed at the category level is informative or not.
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發(fā)表于 2025-3-22 21:36:14 | 只看該作者
Ripple Effect Analysis of Two-Stage Supply Chain Using Probabilistic Graphical Model, both upstream and downstream of SC entities. This work proposes a new methodology, based on a probabilistic graphical model, to analyze the ripple effect in a two-stage SC. The probabilistic graphical model developed is capable of capturing disruption propagation that can transfer from upstream suppliers to downstream end customer in an SC.
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發(fā)表于 2025-3-23 04:37:30 | 只看該作者
Entropy-Based Analysis and Quantification of Supply Chain Recoverability,downstream the supply chain. An exact and a heuristic computation algorithm are suggested and illustrated. The developed approach and recoverability measure can be used to select a resilient supply chain design in terms of potential recoverability.
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