When You Need Foresight!
Saturday, August 15th, 2009Excerpt: (Read the full post »)
A discussion of the kinds of systems engineering challenges for which Foresight is the best available solution.
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Your fastest path from concept to deployment!
Hindsight is 20/20 ... Foresight is better!
Visualize a system that works!
Insanity is doing things the same old way and expecting different results!
A discussion of the kinds of systems engineering challenges for which Foresight is the best available solution.
Retail stockage policy, for merchandising or military applications, all have in common three decision rules which can be simulated (with or without constraints such as budget, quantity discounts, or warehouse space) using empirical or stochastic demand distributions to determine optimum customer satisfaction levels. Walt discusses the role of simulation and modeling and Foresight’s approach to solving the problems.
“Convenient concurrency” (as described in an article by Grant Martin and Steve Leibson) eases the adoption and incorporation of multi-core processors in embedded systems designs. We discuss how RAMS also contributes to multi-core design success.
Paul tells a story about a Model Driven Systems Engineering experience from his questionable past. It involves sleepless nights in Las Vegas, loud music, and simulation.
Processor utilization can have a direct economic impact and is a very important design consideration. Fortunately, there are several techniques for predicting your system’s processor utilization. We compare various methodologies and suggest the most robust approach.
Parameters help make your models more flexible and improve reusability. A data management program, like Excel can be a powerful ally in both managing your model’s parameters and executing sets of batch simulations using ranges of parameters. This post explains how.
Some advice on using Foresight’s tools most effectively. Specific items include: partitioning the design to make team modeling easier, use an SCM tool to manage source file versions, manage data dictionaries via #include files, manage model parameters with Excel, using ACCESS for data analysis, leveraging External calls and Bridgeway to reference existing implementation and using the Alternative data type.
Foresight Systems has created a new forum for sharing the vision of using high level models and powerful simulation to revolutionize the design of complex systems