If only Congress would use River Logic… Watching the recent budget negotiations on TV, it is clear to me that Congress is currently grappling with two critically important issues: (1) infeasibilities – and how to avoid them; and (2) opportunity values – ...

In the age of Big Data, corporate leaders have more power at their disposal than ever before. Meanwhile, globalization has increased the number and quality of competitors fighting for the same customers. There is enormous pressure on planners to achieve ...

This is the first part of a two-part series on stochastic optimization, defined in Wikipedia as “optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization ...

Well-run organizations continually assess the risk associated with critical internal dependencies and external factors, like the condition of physical assets and security of facilities, as well as exchange rates, government policy, economic cycles, ...

I recently read Prescriptive models take analytics one step beyond, written by Scott Robinson, Louisville Metro government, and published by SearchBusinessAnalytics.

This is the first blog post in a series aimed at highlighting important Enterprise Optimizer® (EO) modeling features and uses. All information below is based on an EO model created for a real customer. High-level background description is provided, but ...

River Logic’s Enterprise Optimizer® and Microsoft Office Excel® have a long and close working relationship. For two decades, EO’s prescriptive analytics-based models have read data from and written data to Excel workbooks. Consistently one of EO’s most ...

As I began to write about advanced logistics planning, the first thing that popped into my head, literally, was “damn motorcycles.” I’m currently at 35,000 feet, flying home after a couple of weeks with my wife visiting relatives and friends in Thailand. ...

The Monte Carlo method is a well-known simulation technique that uses statistical random sampling to solve mathematical problems. In use for about 85 years, many variants exist across a wide range of disciplines. If you're not familiar with these, I ...