Topic
Supply chain engineering
About: Supply chain engineering is a research topic. Over the lifetime, 45 publications have been published within this topic receiving 2605 citations.
Papers
TL;DR: This paper 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 and emerges with an SC risk analytics framework.
Abstract: 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 is...
1,431 citations
TL;DR: The reasons and mitigation strategies for the ripple effect in the supply chain are observed and a ripple effect control framework that includes redundancy, flexibility and resilience analysis is presented.
Abstract: In this study, the ripple effect in the supply chain is analysed. Ripple effect describes the impact of a disruption propagation on supply chain performance and disruption-based scope of changes in...
715 citations
TL;DR: This study analyzes state-of-the-art research streams on supply chain design and planning with both disruptions and recovery considerations and classifies existing research streams and application areas of different quantitative methods subject to different disruption risks and recovery measures.
Abstract: Recent research underlines the crucial role of disruption events and recovery policies in supply chains. Despite a wealth of literature on supply chain design with disruption considerations, to the best of our knowledge there is no survey on supply chain with disruptions and recovery considerations. We analyse state-of-the-art research streams on supply chain design and planning with both disruptions and recovery considerations with the aim of relating the existing quantitative methods to empirical research. The paper structures and classifies existing research streams and application areas of different quantitative methods subject to different disruption risks and recovery measures. We identify gaps in current research and delineate future research avenues. The results of this study are twofold: operations and supply chain managers can observe which quantitative tools are available for different application areas; on other hand, limitations and future research needs for decision-support methods in supply chain risk management domains can be identified.
580 citations
TL;DR: A new model for smart contract design in the SC with multiple logistics service providers is developed and it is shown that this problem can be presented as a multi-processor flexible flow shop scheduling.
Abstract: Recently, the applications of Blockchain technology have begun to revolutionise different aspects of supply chain (SC) management. Among others, Blockchain is a platform to execute the smart contra...
452 citations
TL;DR: The results allow the identification of an LCN SC framework, concepts and technologies for its implementation as well as missing themes and new research questions which contribute to a better understanding of SC disruption risks.
Abstract: This study suggests a new approach to supply chain (SC) disruption risk management where SC behaviour is less dependent on the certainty of our knowledge about the environment and its changes The
297 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 2 |
| 2020 | 3 |
| 2019 | 4 |
| 2018 | 7 |
| 2017 | 5 |
| 2016 | 3 |