For decades, engineer-focused software has dominated the supply chain network design world as well as the optimization world in general. Originating in the 90s, these pieces of software have become increasingly powerful, but also increasingly complex and “touchy.” The requirements for excellent data, highly trained engineers, and significant time to model has become prohibitive to rapid decision-making.
Gaming simulation is an alternative to this method. It uses a business rules engine that reflects design best practices as well as market-based data that is often better than historical data.
Logility has embraced gaming simulation for the supply chain and made it an integral component of our network optimization solution. The gaming engine acts as a continuously running algorithm to find the optimum flow of product through a supply chain from supply nodes to demand nodes (customers). Users do not need to run an optimization routine, nor do they need to wait for solvers to return an answer. All they need to do is make a change — add a node, move a node, add a connection between nodes — and the gaming engine presents a whole new simulation.
This capability allows our network optimization solution to be highly productive. It supports work-shopping ideas with executives as well as doing very fast sensitivity studies. See gaming simulation for the supply chain in action below.
Leverage Your Own People and Their Expertise
Logility’s network optimization solution offers an intuitively usable interface that lets you democratize network design, leveraging your own people and their expertise.
Talk to our supply chain experts today about evolving your supply chain design with network optimization.
Check out other great content covering network optimization:
https://www.logility.com/blog/so-you-want-to-make-the-perfect-logistics-model/
https://www.logility.com/blog/balance-resilience-and-intelligent-decision-making-with-network-design/
https://www.logility.com/blog/true-greenfield-answering-the-distribution-service-time-challenge/
https://www.logility.com/blog/how-to-use-reference-data-to-jumpstart-building-data-models/