Ripple effect and supply chain disruption management: new trends and research directions

Abstract

Ripple effect is a specific area of SC disruptions and a strong stressor to SC resilience. Research on the ripple effect analyses how one or more disruptive events propagate through the SC and impact its resilience and performance. The phenomenon of the ripple effect, immensely existing in practice, has received great research interest in recent years. Ripple effect management, modelling and assessment became visible research avenues with a growing number and scope of contributions. This Special Issue presents recent developments on the ripple effect in SCs. The Special Issue focuses on studies that address the ripple effect and provide a comprehensive picture of the state of the art and future perspectives. The methodologies comprise of mathematical optimisation, simulation, game theory, control theoretic, data-driven analytics, network complexity, reliability theory research, and empirical research. Even though a variety of valuable insights have been developed in this area in recent years, new research avenues and ripple effect taxonomies are identified for further exploring the ripple effect in the settings of the COVID-19 pandemic, SC viability, viable SC model, and reconfigurable SCs. KEYWORDS Ripple effect; supply chain resilience; supply chain risk management; supply chain dynamics; supply chain engineering Supply chain engineering is one of the main issues in production research (Dolgui and Proth (2010). Research on supply chain (SC) disruption management has focused on both empirical and analytical methodologies in understanding and appeasing risk (Ho

[Retracted] Digital Technology Empowers Grain Supply Chain Optimization Simulation

“…e research results also provide a certain theoretical support for national food security [7]. Traditional farmland information acquisition is mainly through manual sampling and indoor chemical analysis, which is not only time-consuming and labor-intensive but also low in efficiency [8]. With the development of sensor technology, it is possible to detect farmland information through farmland sensors.…”

Supply chain resilience for managing the ripple effect in Industry 4.0 for green product diffusion

“…Mathematical and stochastic optimization dominates the research in the field of the ripple effect. However, the potential of simulation modeling remains under-explored (Ivanov, 2017a;Dolgui and Ivanov, 2021). Since simulation studies can handle time-dependent disruption duration, duration of recovery measures, capacity degradation and recovery, simulation is an even more powerful tool than analytical models in analyzing the time-based performances of the SC.…”

Guest editorial

“…The trade war between the US and China created tariffs that impacted the availability of supply capacity, which was further impacted by the prolonged Brexit negotiations (Handfield et al, 2020;Moradlou, et al, 2021). The COVID-19 pandemic was not just a health crisis but also generally a supply chain crisis, with huge global impacts (Dolgui and Ivanov, 2021;Harland, 2021;Joglekar and Phadnis, 2021;Singh et al, 2021;Sodhi and Tang, 2021), including sudden changes in consumer buying habits, production delays and backlogs in industry, and causing simultaneously capacity shortages and slack capacity in global supply chains. Shipping of goods was prohibited or disturbed by closed country borders, limited availability of transport capacity and backlogs along the supply chain.…”