#1 most frequent
United States of America
47.0%425 installations of 904
What is IBM ILOG CPLEX Optimization Studio?
IBM® ILOG® CPLEX® Optimization Studio is a prescriptive analytics solution that enables rapid development and deployment of decision optimization models using mathematical and constraint programming.
Categories & Use Cases
Top Performing Features
Visualization
The product’s support and tooling for analysis and visualization of data.
Category average: 8.3
Interactive Data Analysis
Ability to analyze data interactively using Python or R Notebooks
Category average: 8.8
Multiple Model Development Languages and Tools
Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.
Category average: 9.2
Areas for Improvement
Data Transformations
Use visual tools for standard transformations
Category average: 9.1
Interactive Data Cleaning and Enrichment
Access to visual processors for data wrangling
Category average: 9
Automated Machine Learning
Tools to help automate algorithm development
Category average: 8.9
Who Buys & Uses IBM ILOG CPLEX Optimization Studio
#2 most frequent
Canada
6.2%56 installations of 904
#3 most frequent
France
5.5%50 installations of 904
Optimization Excellence with IBM CPLEX Optimization Studio
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
- Linear Programming
- Mixed-Integer Linear Programming
- Non-Linear Convex-Optimization
- Visualization
- Shadow Price Analysis
- Parameter Tuning
Cons
- 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
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)
Great User-friendly Software for Linear Programming
Pros
- Integer programming.
- Mixed integer programming.
- Quadratic programming.
- Multi-objective optimization.
Cons
- Data handling from different sources like Note Pad, etc.
- Large size of MILP problems.
- Various parameters to set.
Return on Investment
- Better for price.
- Many model parameters/features.
- No visualization.
Alternatives Considered
MATLAB
Usability
Other Software Used
MATLAB
