Our methodology and the predictive analytic tools we use and develop apply to a wide variety of industries. Here we describe notable projects we have worked on in several of these industries.
Optimizing the batch size for their original plan reduced their maximum in-process inventory by more than 50%. Using the new system configuration and optimizing the batch sizes for that system yielded an estimated reduction of 85%, freeing up even more space for plant operations.
Planning to construct a new manufacturing facility or adding a new product? Struggling with excessive in-process inventory or inefficient processes that you know could be better?
For more on simulation modeling for manufacturing, go here or click on the case study link below.
The simulations tested thousands of alternative screening polices and determined both the most cost-effective policies and those policies which minimize breast cancer related deaths. From both practical and statistical perspectives, annual screening for all women between ages 65 and 80 was found to be a superior policy by achieving a meaningful compromise between cost-effectiveness and saving lives. The research is ongoing, and the model is currently being used to inform screening policies for other disease models. This project was featured in the June, 2014 issue of Industrial Engineer Magazine.
Don’t have enough employees to accommodate spikes in demand for work? Want to add statistical capabilities to your software? Struggling to communicate complex quantitative results to your clients?
Need to garner support for a project? Having trouble visualizing future operations? Want to evaluate alternative system configurations without interfering with the actual system? Simulation may be able to help.
Having trouble developing complex simulation logic? Struggling to improve complicated processes? Looking to implement an advanced new system but not sure if it’s worth the investment?
Contact us and let’s talk about building better decisions.