Item: IBM ILOG CPLEX Optimization Studio
Rating: 9
Author: Verified User

Use Cases and Deployment Scope

Most used features of this tool are modelling and solving linear and mixed-integer problems with more than 10,000 variables, shadow price analysis and visualization capabilities. Only issue is with non convex optimization capabilities.

Pros and Cons

Linear Programming
Mixed-Integer Linear Programming
Non-Linear Convex-Optimization
Visualization
Shadow Price Analysis
Parameter Tuning

Non-convex Optimization problems
In my opinion, difficult to integrate with existing software
In my opinion, difficult to use for a new user with no modelling background
High memory hardware required for its usage
Expensive commercial license

Return on Investment

Faster computation leading to better internal customer relations
Able to solve high variable problems with ease
Anomaly detection became easier within business

Alternatives Considered

Gurobi Optimizer

IBM CPLEX Optimization Studio covers wide range of problems in comparison to Gurobi and also offers a number of visualization tools for results analysis. It has better customization and parameter tuning options in comparison to Gurobi. It offers various API integrations such as Python, Java and C++ which is not the case with Gurobi.

Key Insights

Do you think IBM ILOG CPLEX Optimization Studio delivers good value for the price?

Yes

Are you happy with IBM ILOG CPLEX Optimization Studio's feature set?

Yes

Did IBM ILOG CPLEX Optimization Studio live up to sales and marketing promises?

Yes

Did implementation of IBM ILOG CPLEX Optimization Studio go as expected?

Yes

Would you buy IBM ILOG CPLEX Optimization Studio again?

Yes

Other Software Used

Gurobi Optimizer, Jupyter Notebook, PyCharm, Microsoft Visual Studio Code, Postman, Apache Spark, Amazon EMR (Elastic MapReduce), Amazon Elastic Compute Cloud (EC2), Amazon S3 (Simple Storage Service)

Likelihood to Recommend

In my opinon, if the problem is less than 5000 variables, one should try to solve with free available solver rather than directly going for a commercial license of IBM CPLEX Optimization Studio. In my opinion, if the priority is not in terms of solving time with higher number of variables, even then one can go for free solvers like CBC, IPOPT, SCIP. In my opinion, if priority is solving time and number of variables is also high, only in that case one should prefer going for a commercial license.

Optimization Excellence with IBM CPLEX Optimization Studio

Overall Satisfaction with IBM CPLEX Optimization Studio