Article
Computer Science, Interdisciplinary Applications
Farhad Habibi, Ripon Kumar Chakrabortty, Alireza Abbasi
Summary: In the face of disruptions in global supply chains, a comprehensive framework for evaluating supply chain resilience is crucial. Existing techniques have limitations and fail to consider the ripple effect, resulting in biased assessments. This study proposes a comprehensive evaluation scheme that introduces six metrics to assess different capacities of resilience and validates its applicability on real-world supply chain networks.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Operations Research & Management Science
Dmitry Ivanov
Summary: This study examines the ripple effect in an interconnected supply network and investigates the impact of collaborative coordination on mitigation and recovery performance. The concept of collaborative emergency adaptation is introduced, contributing to the development of network-of-networks and the viability perspective in supply chain resilience management. The results from anyLogistix simulations provide insights on when and how collaborative emergency adaptation can be implemented to improve supply chain resilience and viability.
ANNALS OF OPERATIONS RESEARCH
(2023)
Review
Engineering, Industrial
Arrate Llaguno, Josefa Mula, Francisco Campuzano-Bolarin
Summary: Supply chains are becoming increasingly sophisticated and vital for competitiveness in many firms. However, their global and complex nature also makes them vulnerable to the risk of interruptions. This article systematically reviews the ripple effect in supply chains and proposes measures to mitigate its impact.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Xiao-qiu Shi, Xue-jiao Yuan, Ding-shan Deng
Summary: The study examines the ripple effect in supply networks and the impact of collaboration on enhancing supply network resilience, introducing new metrics and models. Results show that the effectiveness of collaboration is influenced by network structures and other parameters, and in some cases, collaboration may negatively impact supply network resilience.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Business
Md Maruf Hossan Chowdhury, Mohammad Tarikul Islam, Imran Ali, Mohammed Quaddus
Summary: This study finds that supply chain social capitals have a positive influence on supply chain sustainability, and supply chain resilience is the mechanism to transform this influence. Contrary to the hypothesis, network complexity positively influences social capitals to enhance supply chain sustainability in the presence of supply chain resilience. These findings highlight the importance of supply chain resilience in leveraging supply chain social capitals and overcoming challenges from network complexity to enhance supply chain sustainability.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Management
Yuhong Li, Kedong Chen, Stephane Collignon, Dmitry Ivanov
Summary: This study investigates the different impacts of forward and backward disruption propagation in the supply chain network, revealing that they require distinct mitigation strategies and have varying effects on network and individual firm performance. Forward disruption propagation can be mitigated by substitute supply, while backward disruption can be alleviated by flexible operation and distribution.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Editorial Material
Engineering, Industrial
Alexandre Dolgui, Dmitry Ivanov
Summary: The ripple effect is a specific area in supply chains that has a strong impact on supply chain resilience. Research shows how disruptive events spread through the supply chain and affect its resilience and performance. In recent years, research on ripple effect management, modeling, and assessment has gained significant interest.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Operations Research & Management Science
Zhimei Lei, Li Cui, Jing Tang, Lujie Chen, Bingbing Liu
Summary: In this paper, a five-layer interdependent supply chain network (SCN) is proposed to depict the characteristics of supply chain under the context of Industry 4.0 and Industry 5.0. Simulation experiments based on Tesla SCN reveal the resilience of the multilayer SCN in mitigating the ripple effect of disruption propagation. The study finds that the ripple effect caused by different failures and SCN structures varies, and product and technological structures are crucial for maintaining the stability of the SCN.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Young Woong Park, Jennifer Blackhurst, Chinju Paul, Kevin P. Scheibe
Summary: This paper examines the ripple effect in supply chains due to circular flows embedded in supply chain design. It found that circular flows exist in real-world supply chains and may exacerbate the ripple effect, impacting the supply chain's resilience to disruptions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Tadeusz Sawik
Summary: “This paper presents a novel quantitative approach and stochastic quadratic optimisation model to maintain supply chain viability under the ripple effect. Instead of viability kernel commonly used in the viability theory, this paper establishes the boundaries on acceptable production states for which the production can be continued under the ripple effect, with no severe losses. The findings indicate that for the extreme values of the weight factor, the viable production trajectory is inclined toward the corresponding boundary trajectory and remains in-between the two boundaries, when both objectives are equally important. Keeping production trajectory in-between the two boundaries makes the supply chain more resilient to disruption risks, while the supply chain resilience diminishes as the production trajectory approaches a boundary trajectory. Then a more severe disruption may push the production outside the viability region and cause greater losses.”
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Seyedmohsen Hosseini, Dmitry Ivanov
Summary: The study introduces a method of modeling and quantifying supply chain disruption impacts in the pandemic using a multi-layer Bayesian network model, combining resilience and viability perspectives to explicitly account for pandemic settings. The research results can serve as a decision-support tool for predicting and better understanding the pandemic impacts on supply chain performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Yaniv Proselkov, Jie Zhang, Liming Xu, Erik Hofmann, Thomas Y. Y. Choi, Dale Rogers, Alexandra Brintrup
Summary: Tightening lending standards have led companies to adopt supply chain financing, specifically invoice backed lending, to alleviate financial stress. These financial tools rely on inter-company relationships, which in turn create complex supply network topologies. Companies within these networks maximize their liquidity by negotiating longer repayment terms and cheaper financing, passing on risk to weaker companies and perpetuating financial stress. Through an agent-based supply network simulation model, our study explores the structural conditions that make supply networks vulnerable to financial stress propagation and the resulting ripple effects, finding that firms with higher bargaining power are disproportionately exposed to network risk. Our research has implications for industries with diverse network compositions, and practitioners should consider supply chain financing design to mitigate the effects of vulnerable network structures.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Operations Research & Management Science
Dmitry Ivanov
Summary: This study uses simulation analysis to examine the impacts of blackouts on supply chains, considering SC performance, resilience, and viability. The results reveal that blackouts are a special case of SC risks characterized by simultaneous shutdown of processes, disruption propagations, and the danger of viability losses. Simulation experiments show that factors such as power loss propagation, blackout duration, unavailability of supply and logistics, and unpredictable customer behavior determine the blackout impact and recovery strategies. The findings can aid decision-makers in predicting the operational and long-term impacts of blackouts on SCs and developing mitigation and recovery strategies.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Business
Nishat Choudhary, M. Ramkumar, Tobias Schoenherr, Nripendra P. Rana
Summary: This study investigates the impacts of COVID-19 pandemic on supply chain networks using Apple as a seed firm. The findings suggest that spatial complexity, degree centrality, betweenness centrality, and closeness centrality play significant roles in determining supply chain resilience. Furthermore, powerful firms in the network can also influence supply chain resilience based on their betweenness centrality and closeness centrality.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Yongzheng Tian, Yuqiang Shi, Xiaoqiu Shi, Minghui Li, Min Zhang
Summary: This study examines the influence of network structures on the resilience of a supply chain network (SCN) from the perspective of complex networks, proposing a new model that shows resilience to random disruptions but vulnerability to targeted disruptions. The simulation results suggest that parameters such as alpha significantly affect the resilience of the SCN, with higher values of alpha leading to poorer resilience. Additionally, the distribution of parameter f in the network also plays a role in determining the resilience of the SCN.
Article
Economics
Michael G. H. Bell, Jing-Jing Pan, Collins Teye, Kam-Fung Cheung, Supun Perera
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2020)
Article
Engineering, Industrial
Supun Perera, Dharshana Kasthurirathna, Michael Bell, Michiel Bliemer
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2020)
Article
Computer Science, Artificial Intelligence
Sukhdeep Singh, Vinod Kumar Chauhan, Elisa H. Barney Smith
APPLIED INTELLIGENCE
(2020)
Article
Computer Science, Artificial Intelligence
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2020)
Article
Economics
Kam-Fung Cheung, Michael G. H. Bell, Jing-Jing Pan, Supun Perera
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Transportation Science & Technology
Vaggelis Giannikas, Anna Ledwoch, Goran Stojkovic, Pablo Costas, Alexandra Brintrup, Ahmed Ali Saeed Al-Ali, Vinod Kumar Chauhan, Duncan McFarlane
Summary: This study proposes a data-driven method to analyze the propagation of flight delays and their impact on airline schedules using a multi-layer network approach. Empirical results demonstrate that incorporating information in a multi-layered manner leads to a more robust assessment of delay propagation.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Computer Science, Interdisciplinary Applications
Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup
Summary: Supplier selection and order allocation are strategic decisions in supply chain management that have a significant impact on supply chain performance. However, the lack of attention to scalability in the SSOA problem has hindered the adoption of SSOA algorithms by industrial practitioners. This paper proposes a novel double order allocation model with dual-sourcing and penalty constraints in a two-tier supply chain, promoting cooperation between suppliers and facilitating supplier preferences through bidding. Mixed-Integer Programming models and Genetic Algorithm approaches are proposed to solve the problem. A case study demonstrates the effectiveness of the model, showing that Mathematical Programming outperforms Genetic Algorithm in solving SSOA. The model has been successfully deployed in a large international sourcing conference, resulting in significant procurement cost reductions for a manufacturing company.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Meeting Abstract
Oncology
H. I. Chou, V. K. Chauhan, L. Lu, C. T. Chung, T. T. L. Lee, S. Lee, H. Liu, T. K. R. Pang, A. Kaewdech, B. Cheung, G. Tse, J. Zhou
ANNALS OF ONCOLOGY
(2023)
Article
Chemistry, Analytical
Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
Summary: An electronic health record (EHR) is a crucial part of medical concepts, and discovering implicit correlations within this data can improve treatment and management. This paper introduces Patient Forest, an innovative approach for learning patient representations from tree-structured data, which outperforms existing models in predicting readmission and mortality. Experiments on MIMIC-III and eICU datasets demonstrate the accuracy and reliability of Patient Forest, especially when training data is limited. The qualitative evaluation using t-SNE visualization further confirms the effectiveness of this model in learning EHR representations.
Proceedings Paper
Computer Science, Information Systems
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David Andrew Clifton
Summary: This paper proposes a novel model called COPER for handling irregular time-series in EHRs. The model utilizes a Perceiver model and neural ODEs to learn the continuous time dynamics of patient state. Experimental results demonstrate the effectiveness of the proposed model.
2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)
(2022)
Article
Computer Science, Software Engineering
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
Summary: LIBS2ML is a unique machine learning library that focuses on scalable second order methods and utilizes the MATLAB/Octave interface for faster learning and easy input/output operations.
Article
Transportation
Jingjing Pan, Michael G. H. Bell, Kam-Fung Cheung, Supun Perera
Summary: The 21st Century Maritime Silk Road initiated by China aims to establish a new form of regional economic cooperation with associated countries, focusing on eliminating maritime bottlenecks and improving connectivity. A recursive spectral bi-partitioning method is proposed in this paper to detect bottlenecks in the container shipping network along the MSR, successfully identifying strategic bottlenecks along key trade lanes for connectivity improvement.
MARITIME POLICY & MANAGEMENT
(2021)
Article
Economics
Supun Perera, Chinh Ho, David Hensher
RESEARCH IN TRANSPORTATION ECONOMICS
(2020)