Modelling for Better Operations Scheduling and Throughput Optimization
Simulation modelling solves real-world problems safely and efficiently
Do You Need Simulation?
How to determine the effective or maximal throughput, identify the bottlenecks or in which situations the bottleneck moves, establish the best schedule, or evaluate if there are enough resources?
Will it be possible to deliver on time, is it possible to reduce costs or to increase the throughput, what is the most desirable expansion scenario?
These are typical questions expressing an underlying need to model operations using simulation. They may highlight operations scheduling and throughput optimization opportunities.
The Power of Discrete Events Simulation
Discrete Event Simulation allows to understand and model operations for which time, variability, movement, and resource availability are critical elements. Combined to complex operations and production schedules, these model elements can characterize process inefficacities or underdelivered throughput. Learn more by reading our white paper on what is a model.
Discovering underlying interactions and key drivers provides intelligence on the whole process. A better production planning or operations scheduling enhances the productivity, augments the throughput, and can help justifying investments. A global view for fact-based decision-making!
Our Globally Recognized Expertise
Our consultants have extensive experience in developing complex models for many applications. In addition to having developed unique specialized libraries for bulk materials simulation, traffic and maintainability, they have published scientific peer-reviewed articles and participated in several international conferences. Our consultants are also operational excellence and mathematical optimization experts. Imagine the potential to uplift your throughput!
Our modeling approach is practical. We make decision-making tools accessible and democratic, easing the configuration of scenarios and the interpretation of results. This document explains how our simulation approach differs from digital twins. We deliver highly performant and flexible simulation models!
Expand on your simulation knowledge by reading about our framework which combines Lean, statistics and programming. Also learn how to add robust optimization to simulations to obtain exceptional results!
Sharing our knowledge with our clients is part of our culture. We offer training sessions on the practical topics, for instance: Monte-Carlo simulation, robust optimization, and discrete event simulation.
Examples of Simulation Projects
FlexSim Partners and Software Support
Flexsim is a powerful, capable, and easy-to-use 3D simulation software. It lets you model and improve existing and proposed systems:
- Model a real system in a native 3D virtual environment
- Account for real-world variability with FlexSim’s vast array of statistical distributions and random numbers
- Run simulation using the model to test “what if” scenarios—without needing to change things in the real world
Learn more: www.simulking.com/flexsim
Différence offers support to users of the following simulation software: Flexsim, Anylogic, and Simio.
Selected Readings on Simulation
Here are some of our featured articles and past conference slides on operations simulation and optimization. These are documents you can print and share. More material, including peer-reviewed scientific papers, can be found on our Documents webpage.
