How to manage supply chain disruption

... and optimization help develop supply chain resilience, we have a white paper from supply chain expert Prof. Dr. Habil. Dr. Dmitry Ivanov, SCD. In the paper, you will also find a methodology for minimizing the ripple effect through the creation of a digital twin and the use of simulation and optimization. download white paper

anyLogistix 2025: conference recap

... Data integration steps in the Coca-Cola İçecek case by Phoenix Analytics (click to enlarge) One of the most compelling cases came from Coca-Cola İçecek , in partnership with Phoenix Analytics . They used anyLogistix to create a fully integrated digital twin of their supply chain. This enabled real-time scenario testing where planners could quickly react to changes in demand, supply disruptions, or facility issues. Fast-Track Supply Chain Optimization with anyLogistix The rebuilt wastewater model in ...

Cash to Serve

... cash-on-hand, loan, interest, and account information, helps inform decision making and design policies, such as those regarding outstanding payments and down payment ratios. With regular information from your supply chain, you can create a supply chain digital twin, and benefit from situational insight for agile operational decision making. ALX details cash flow over time, including: cash on hand loans interest accounts payable accounts receivable payment terms ALX captures the nature ...

How to choose the right approach for supply chain modeling

... simulation to better understand the dynamics of the system. After that, you can create a more tailored optimization model based on these insights. To go even deeper in your strategic planning, you can extend the supply chain simulation model into a digital twin — a representation of the actual logistics system. By integrating with the company’s IT infrastructure (ERP, MES, CRM), the technology enables you to predict the behavior and dynamics of a real supply chain to make midterm/short-term decisions....

Managing food disruptions in public supply chains

... supply chain’s performance. Finally, they understood the optimal shipment quantity of food grain and the ideal number of vehicles required for shipping between warehouses. In the future, NITIE would like to take their analysis further by creating a digital twin or exploring other solution approaches, e.g., machine learning techniques. They are also considering implementing mathematical modeling as well as a multi-objective optimization of the food grain supply chain network. This case study was presented ...