TY - JOUR

T1 - The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

AU - Ivanov, Dmitry

AU - Dolgui, Alexandre

AU - Sokolov, Boris

N1 - Dmitry Ivanov, Alexandre Dolgui & Boris Sokolov. The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics // International Journal of Production Research. 2019. Vol. 57. Issue 3. P.829–846. https://doi.org/10.1080/00207543.2018.1488086

PY - 2019

Y1 - 2019

N2 - The impact of digitalisation and Industry 4.0 on the ripple effect and disruption risk control analytics in the supply chain (SC) is studied. The research framework combines the results from two isolated areas, i.e. the impact of digitalisation on SC management (SCM) and the impact of SCM on the ripple effect control. To the best of our knowledge, this is the first study that connects business, information, engineering and analytics perspectives on digitalisation and SC risks. This paper does not pretend to be encyclopedic, but rather analyses recent literature and case-studies seeking to bring the discussion further with the help of a conceptual framework for researching the relationships between digitalisation and SC disruptions risks. In addition, it emerges with an SC risk analytics framework. It analyses perspectives and future transformations that can be expected in transition towards cyber-physical SCs. With these two frameworks, this study contributes to the literature by answering the questions of (1) what relations exist between big data analytics, Industry 4.0, additive manufacturing, advanced trace & tracking systems and SC disruption risks; (2) how digitalisation can contribute to enhancing ripple effect control; and (3) what digital technology-based extensions can trigger the developments towards SC risk analytics.

AB - The impact of digitalisation and Industry 4.0 on the ripple effect and disruption risk control analytics in the supply chain (SC) is studied. The research framework combines the results from two isolated areas, i.e. the impact of digitalisation on SC management (SCM) and the impact of SCM on the ripple effect control. To the best of our knowledge, this is the first study that connects business, information, engineering and analytics perspectives on digitalisation and SC risks. This paper does not pretend to be encyclopedic, but rather analyses recent literature and case-studies seeking to bring the discussion further with the help of a conceptual framework for researching the relationships between digitalisation and SC disruptions risks. In addition, it emerges with an SC risk analytics framework. It analyses perspectives and future transformations that can be expected in transition towards cyber-physical SCs. With these two frameworks, this study contributes to the literature by answering the questions of (1) what relations exist between big data analytics, Industry 4.0, additive manufacturing, advanced trace & tracking systems and SC disruption risks; (2) how digitalisation can contribute to enhancing ripple effect control; and (3) what digital technology-based extensions can trigger the developments towards SC risk analytics.

KW - supply chain dynamics

KW - supply chain risk management

KW - supply chain resilience

KW - supply chain design

KW - supply chain engineering

KW - Industry 4.0

KW - additive manufacturing

KW - blockchain

KW - big data analytics

KW - ripple effect

UR - https://www.tandfonline.com/doi/full/10.1080/00207543.2018.1488086

UR - https://www.tandfonline.com/doi/epub/10.1080/00207543.2018.1488086?needAccess=true

M3 - Article

VL - 57

SP - 829

EP - 846

JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

IS - 3

ER -