The challenge: Quality improvements required inserting a new production stage between roasting and grinding, creating “shifty bottleneck” problems that Advanced Planning Systems couldn’t handle.
Why traditional analysis failed: Moving bottlenecks as a result of packaging size changes couldn’t be analyzed with static methods.
The modeling breakthrough: Our Discrete Rate Simulation technology – originally developed for exactly this type of bulk flow, rate-based problem – enabled conception, testing, and verification of an entirely new scheduling algorithm.
Result: Successfully adapted plant operations to new production constraints with robust scheduling across various demand scenarios.
The challenge: Olive processing company needed to understand true production capacity and scheduling constraints.
The modeling solution: Detailed simulation revealed bottleneck dynamics, tested scheduling approaches, and quantified variability effects.
Results: 15% throughput improvement through Theory of Constraints-based scheduling optimization.
“The model confirmed bottlenecks at certain operations in the plant… an effective tool to evaluate proposed capital expenditures and scheduling changes over short and long-term periods. The simulation offered Lindsay personnel an understandable representation of their large, complex plant. The simulation is a tool that has allowed [us] to evaluate critical factors about the facility while discarding irrelevant detail.”
— Robert Rugeroni
IT Director, Bell Carter Foods
The transformation: From 6-hour technical model requiring simulation expertise to 20-minute business application accessible to CFOs and analysts.
“VinLogic is at the heart of what we do. Our analysts run it every week. I run the model to more accurately predict our annual budget! The reason we never call you is because the model just works.”
— Linda Suddeth
CFO, Insight Network Logistics
Results: $1+ billion annual savings through 10+ years of continuous operation as a core business asset.
“We leveraged VINLogic to recommend solutions that saved $21.7M in inventory carrying costs and reduced transit time by 19%.”
— Mike Keller
Network Analyst and Engineer, Union Pacific Railroad
SDI can help your innovation efforts. Contact us at: info@simulationdynamics.com