... your supply chain, download your copy today! We host webinars each month and events around the world. Come along and find out more, check out the events list . anyLogistix will be at The AnyLogic Conference 2019 where we will be demonstrating how digital twin technology can give a control tower view over a supply chain. Join us for workshops and presentations from industry professionals!

... watch the webinar Supply chain master planning software anyLogistix (ALX) can help optimize your supply chain network. When used with data from a supply chain, it enables the analysis, forecasting, and testing needed for master planning. It is a digital twin of your supply chain that helps coordinate production, transport, and storage policies. Supply chain master planning with ALX combines powerful optimization with simulation modeling to inform and deliver tactical and operational objectives. Supply ...

... 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

... 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 ...

... 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 ...