... Presentation slides (PDF) Article : Food Retail Supply Chain Resilience and the COVID-19 Pandemic: A Digital Twin-Based Impact Analysis and Improvement Directions In this webinar Prof. Dr. Dr. habil. Dmitry Ivanov will provide an overview of the practical ... ... anyLogistix models for supply chain resilience at the COVID-19 pandemic times Q&A session Learn more about how modern techniques of predictive and prescriptive analytics, such as optimization and simulation modeling, are proving to be the only ways capable of ...

... maintain optimization models than spreadsheets. With a powerful optimizer, anyLogistix is more scalable and robust for end-to-end supply chain models, which allows you to get more insights in a shorter time. learn more The power of simulation-based predictive analytics In addition to optimization, anyLogistix provides simulation tools for dynamic what-if analysis of supply chain behavior, inventory planning, and risk analysis. Simulation forecasts metrics change over time, which allows you to determine your future KPIs with your current or projected supply chain design and operation policies. Simulation ...

... economics of production. Optimization and simulation, being among the most popular techniques for supply chain planning and analysis, help prepare for disruptions before they occur, evaluate potential impacts on supply chain performance, and then develop ... ... considering these characteristics and building resilient and reliable supply chains. Learn more about how modern techniques of predictive and prescriptive analytics , such as optimization and simulation modeling, can deal with uncertainties. Read our ...

... failure and success. Companies frequently use this type of analytics by tracking their everyday operations and analyzing reports. Predictive analytics What will happen and what should we do next? It uses historical data and transactional data to determine ... ... supply chain disruptions , test various scenarios using simulation, determine policies, and much more. END-TO-END SUPPLY CHAIN ANALYSIS WORKFLOW Supply chain analytics can help your company become a data-driven one. There are three main steps to getting ...

... are helping increase access to quick and complex analytics. User interfaces are improving and making predictive analytics tools more accessible and understandable. Additionally, machine learning techniques are becoming easier to use for complex data analysis. With the adoption of supply chain predictive analytics software increasing, the value of captured data is also increasing. Companies are realizing the value of their data and using it to their advantage. As Industry 4.0 gathers pace, supply chain predictive analytics is an important trend ...