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.

A construction equipment manufacturer came to us with a problem: they needed in-process inventory estimates to determine space requirements for a new production facility. They provided us with their proposed production plan, estimates of demand, the number of machines of each type, and plant staffing needs. We developed both a quantitative and visual simulation model of their proposed production system and determined the optimal batch sizes for each product in the proposed system. After running multiple scenarios of the simulation along with optimizations, we proposed a new system configuration and determined the optimal batch sizes for the new system.

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.

Case Study: Construction Equipment Manufacturing

SIMCON maintains active involvement in academic research projects to stay at the forefront of science and technology so we can offer our clients the latest and greatest in simulation and statistical analysis. Our most prominent research is related to simulation of breast cancer screening policies. We created a simulation model with the goal of providing policy makers with the quantitative information needed to determine the best breast cancer screening policy for older US women.

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.

Nuclear Safety
Through our academic affiliations with Nuclear safety projects, we were contacted by an engineering services firm to assist in bringing their plant safety assessment simulation software to market. We assessed the current state of the program, and then recommended and implemented computational performance improvements and additional statistical analysis capabilities. This resulted in an enhanced and commercially viable simulation software program that is currently being used by multiple power plants to address NRC regulatory requirements. SIMCON serves as the software’s configuration manager, and we are responsible for ongoing quality control and verifying the functionality within each release. SIMCON also contributes to multiple other projects as analytics consultants performing a variety of statistical data analysis and simulation related tasks.

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?

A mining company was in need of a communication tool to garner internal and external stakeholder support for a proposed mining operation before breaking ground. We worked extensively with the company and its consultants to collect the CAD data and necessary information to develop realistic, three-dimensional visualizations of the proposed operation. Five dynamic simulation models showed the processes from ore mining and refinement to shipment of the finished product. These simulations, along with complementary videos derived from them, helped gain stakeholder support by allowing them to better understand and visualize the scope of the operation at various production levels.

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.

A pharmaceutical automation company needed help developing an advanced prescription order fulfillment and sortation system. We were able to help them by enhancing their existing simulation model to include order tracking and complex sortation logic.  As a result, they were able to evaluate throughput, optimize system logic, and experiment with different system operating configurations. We also provided an accompanying user’s guide detailing model instructions and enhancements to provide technical support.

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.