TruNavigator Reference Models
TruNavigator models are proven to support the predictive analysis of functions critical to industrial operations in order to improve understanding and decision making.
Manufacturing / Production
Lone Star’s proven model creates a simulation of the critical influences impacting results in manufacturing and production environments. This includes all critical internal and external factors. Example elements include inbound raw materials quantities and pricing, critical processing equipment, production processes, personnel, facilities, outbound supply chain, and market pricing of finished goods. Whether you have a discrete or continuous process environment, this model can help you optimize throughput, production costs, quality, profitability, and risk.
Supply Chain / Logistics
Lone Star’s demonstrated supply chain model creates a holistic end-to-end simulation of this critical function. It enables you to quickly understand and target improvements in your supply chain operation. The rapid “what if” capability enables you to test adjustments and modifications prior to implementation in order to hone in on the best options for improvement. The output will help minimize supply chain costs, reduce risk, and improve reaching organizational goals.
Many customers utilize Lone Star’s tested maintenance operations optimization model to deliver substantial improvements in efficiency, cost, and quality. Our models incorporate all critical influences that impact maintenance delivery and deliver unparalleled insight into how, where, and why an organization might improve.
Lone Star’s training proficiency and operations models has been proven with some of the largest and most asset intensive organizations in the world. It incorporates internal and external elements that influence how an organization operates and enables customers to quickly understand their operations and how to improve. Elements such as syllabi, media, time, facilities, personnel, and other resources are all represented.
- Asset Utilization
- Operational Risk