Article
Engineering, Industrial
Xavier Brusset, Morteza Davari, Aseem Kinra, Davide La Torre
Summary: This paper discusses the ripple effects of disruptions in supply networks caused by the pandemic and proposes a model that combines logistics with an epidemiological model to predict and simulate the impact on workforce in the supply chain. The findings can provide useful insights for managers and scholars to mitigate the impact of a pandemic.
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
Abhijeet Ghadge, Merve Er, Dmitry Ivanov, Atanu Chaudhuri
Summary: Supply chains face various risks and long-term disruptions may lead to ripple effects. Research indicates that disruptions in supply, demand, and logistics, as well as their combinations, can have diverse impacts on the supply chain network.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Management
Niklas Berger, Stefan Schulze-Schwering, Elisa Long, Stefan Spinler
Summary: Quality issues in supply networks can have negative impacts on suppliers and their downstream customers. In this study, we develop a novel modeling framework based on epidemiology to investigate how network structure affects the propagation of quality issues. The results show that the magnitude of a quality issue is strongly influenced by its origin node and the network archetype. Improving quality control at critical nodes and adjusting the network structure are effective strategies to mitigate the spread of quality issues.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
Jessica Olivares-Aguila, Waguih ElMaraghy
Summary: Disruptions in the downstream levels of a supply chain have a greater impact on performance and should be given higher priority, while expediting after disruptions does not benefit long-term supply chain performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Management
Ming Liu, Zhongzheng Liu, Feng Chu, Alexandre Dolgui, Chengbin Chu, Feifeng Zheng
Summary: This study investigates the problem of disruption propagation management in a multi-echelon supply chain with limited intervention budget. A novel approach combining Causal Bayesian Network, do-calculus, and mathematical programming is developed to minimize disruption risk. Numerical experiments are conducted to evaluate the efficiency of the proposed models, and managerial insights are drawn.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Multidisciplinary Sciences
Yingtong Wang, Xiaoyu Ji, Yutong Lang
Summary: This study defines and quantifies the uncertain disruption risk in a low-carbon supply chain network based on the uncertainty theory. By using optimization models, it aims to minimize carbon emissions and costs, providing promising insights for designing a sustainable and resilient supply chain network in an uncertain environment.
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
Green & Sustainable Science & Technology
Safae El Amrani, Niamat Ullah Ibne Hossain, Sofia Karam, Raed Jaradat, Farjana Nur, Michael A. Hamilton, Junfeng Ma
Summary: Supply chain sustainability (SCS) is an approach that considers the environmental, economic, and social aspects of the supply chain processes when designing a supply chain network. It is important to integrate sustainability practices in different phases of the supply chain and encourage organizations to orient their efforts toward designing sustainable supply chains. Results from the study show that economic sustainability has a slightly higher effect on the supply chain sustainability index (SCSI) prediction compared to the social criteria.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Tsan-Ming Choi
Summary: Market disruptions impact demand directly, and service providers in logistics supply chains must prepare service capacity before demand is known. This paper explores how to determine future service capacity based on market disruptions and the beneficial effects of elastic logistics on the supply chain. The analysis shows that elastic logistics can lead to positive outcomes regardless of the risk attitude.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
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)
Review
Operations Research & Management Science
K. Katsaliaki, P. Galetsi, S. Kumar
Summary: This study reviews important literature on supply chain disruptions, analyzing the impact of disruptions, recovery strategies, modeling approaches, and IT tools. Additionally, a future research agenda is proposed to address research gaps in the field of supply chain disruptions.
ANNALS OF OPERATIONS RESEARCH
(2021)
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
Mathematics, Interdisciplinary Applications
Jiepeng Wang, Hong Zhou, Xinlei Sun, Yufei Yuan
Summary: This research proposes a new evolving model called the supply chain network model (SCNE model) to capture the interrelationship between the dynamic nature of supply chain networks and network structures. The SCNE model exhibits better robustness compared to other network models in the presence of disruptions. At the node level, the SCNE model shows resilience against random disruptions but vulnerability under targeted disruptions. At the edge level, the network efficiency of the SCNE model changes slowly initially but decreases rapidly at some point.
CHAOS SOLITONS & FRACTALS
(2023)
Review
Engineering, Industrial
Riccardo Aldrighetti, Daria Battini, Dmitry Ivanov, Ilenia Zennaro
Summary: This paper presents a systematic literature review of quantitative models of SCND under disruption risks in industrial SCM and logistics. The analysis focuses on the costs specifically induced by disruption risks and resilience investments, offering insights from a managerial perspective. Future research directions and open questions are highlighted for further study.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Operations Research & Management Science
Sachin S. Kamble, Angappa Gunasekaran, Nachiappan Subramanian, Abhijeet Ghadge, Amine Belhadi, Mani Venkatesh
Summary: This study investigates the relationship between information and communication-enabled supply chain integration (SCI) and sustainable supply chain performance (SSCP), and explores the impact of blockchain technologies (BT) on SSCP. The results show that BT has a positive influence on SSCP, and SCI plays a significant mediating role in this relationship.
ANNALS OF OPERATIONS RESEARCH
(2023)
Review
Engineering, Industrial
Nam Vu, Abhijeet Ghadge, Michael Bourlakis
Summary: This study conducts a systematic literature review of 69 high-quality articles to explore the drivers, barriers, applications, and implementation stages of Blockchain in food supply chains. The study identifies current issues and proposes a three-stage implementation framework, aiming to assist food chain managers in determining the suitability of Blockchain and providing guidance for adoption in the industry.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Engineering, Industrial
D. G. Mogale, Arijit De, Abhijeet Ghadge, Manoj Kumar Tiwari
Summary: This study aims to develop a sustainable freight transportation network using capacitated cross-docks to minimize overall supply chain costs. A mathematical model is developed to consider challenges such as time-dependent demand, multiple products and sourcing, and distribution. The study utilizes a two-level self-adaptive variable neighbourhood search algorithm to solve this complex problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Rosalin Sahoo, Bhaskar Bhowmick, Manoj Kumar Tiwari
Summary: This paper addresses a freight forwarder service problem by optimizing the total shipping cost and considering factors such as inventory, processing, transportation, perishability, capacity, and reduced carbon emission. The study develops a mathematical model and uses two variants of the evolutionary algorithm to minimize the total cost incurred in transporting goods via air cargo. The results are validated and sensitivity analysis is performed to assess the impact of various factors.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Engineering, Industrial
D. G. Mogale, Abhijeet Ghadge, Naoufel Cheikhrouhou, Manoj Kunnar Tiwari
Summary: This study attempts to address the limited storage capacity issue in India's food grain production by developing a mathematical model that considers various social sustainability factors. The results indicate the importance of establishing an adequate number of modernized silos for improving environmental impact and social factors.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Mayank Shukla, S. P. Sarmah, Manoj Kumar Tiwari
Summary: This paper proposes a framework based on breach databases and textual information processing to identify cyber risk, threat, and countermeasure. It uses multi-objective optimization to find a trade-off between cyber risk and investment, and extracts relationships among categorized factors using natural language processing. The model helps in effective decision-making by finding vulnerable suppliers and pairing categorized factors.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Engineering, Industrial
Abhijeet Ghadge, Michael Bourlakis, Sachin Kamble, Stefan Seuring
Summary: Research on Blockchain implementation in the Pharmaceutical Supply Chains (PSC) is lacking, but this study provides critical insights into the relationship between Blockchain and PSC, and develops a conceptual framework for implementing Blockchain in the pharmaceutical industry. The study finds that Blockchain's development in PSC is still in its early stages, and further research on adoption drivers, barriers, and applications is needed. The research on Blockchain for PSC has accelerated since the Covid-19 pandemic.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Jyotirmoy Nirupam Das, Manoj Kumar Tiwari, Ashesh Kumar Sinha, Vivek Khanzode
Summary: This study proposes a multiobjective formulation to solve the problem of warehouse assignment and carton configuration optimization. A novel DECIPACO model, integrating IPACO and DEC algorithms, is developed to solve the problem. The test results show that the DECIPACO model provides an optimal solution in all cases.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Industrial
Ajit Sharma, Manoj Kumar Tiwari
Summary: With the increasing adoption and demand for electric vehicles, the lack of sufficient battery production has become a critical bottleneck in the supply chain. This study proposes a three-stage digital twin design and analysis method to develop robotic workcells for fast and cost-effective assembly of electric vehicle battery modules. The use of digital twin design and simulation allows for the development of optimized assembly line configurations and evaluation of speed and cost.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Aishwarya Dash, Sarada Prasad Sarmah, M. K. Tiwari, Sarat Kumar Jena
Summary: This study aims to use digital technology to curb counterfeiting, considering consumer characteristics and the random distribution of counterfeits. The results reveal that brand product manufacturers can earn maximum revenue by adopting digital technology counterstrategies when consumers are proactive, informed, and value-conscious. Therefore, brand product manufacturers should focus on the digital supply chain, product redesign, and product tracking to empower informed, value-conscious, and proactive consumers.
JOURNAL OF BUSINESS & INDUSTRIAL MARKETING
(2023)
Article
Computer Science, Interdisciplinary Applications
Vishal Gupta, Rony Mitra, Frank Koenig, Maneesh Kumar, Manoj Kumar Tiwari
Summary: This article explores the maintenance of airports' baggage handling systems and examines the use of predictive maintenance as an alternative to periodic maintenance. The unique challenges faced by baggage handling systems, such as random noise from IoT sensors and complex interconnected components, are discussed. The article proposes a scalable and cost-effective maintenance 4.0 solution using real-time sensor data. An algorithm is presented to differentiate between anomaly detection and outlier detection and remove irrelevant data. Integrated machine learning techniques are employed to detect and diagnose defects early on. The article also compares the performance of different machine learning algorithms and suggests future research directions.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Abhijeet Ghadge
Summary: Each stage in disaster management faces challenges in information gathering, sharing, interpretation, and dissemination. This paper examines ten major disasters to understand the influence of ICT systems on humanitarian relief operations. The study finds that ICT tools such as geographic information systems, social media, and artificial intelligence have significantly improved the speed and coordination of relief operations.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Operations Research & Management Science
Sumeetha Natesan, Deepika Thakur, Goutam Dutta, Manoj Kumar Tiwari
Summary: In this study, we develop both dynamic and static pricing models for home loans for a bank. The models aim to optimize the net present value of money available at the end of 15 years, taking into account pricing limits and cash flows. We collect real data from a leading nationalized bank in India to establish the relationship between interest rate (price) and number of loans sanctioned (demand). Various versions of the demand function (linear, exponential, and rectangular hyperbola) are assumed. We also analyze the impact of changes in the parameters of the demand equations on the results of the dynamic pricing model.
