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IBM Decision Optimization

4.0
(2)

Solve planning and scheduling problems using powerful optimization modeling capabilities to make better business decisions

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IBM Decision Optimization Reviews

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IBM Decision Optimization review by Executive Sponsor
Executive Sponsor
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"OPL cplex is a best practice in large-scale optimization"

What do you like best?

The flexibility and capabilities of OPL Cplex for making and solving LP/MIP complex mathematical modelling in a simple, ordered and robust way, is outstanding; specially when you need to make large-scale optimization or models with many constraints (business rules). OPL is a pure mathematical optimization language and that is one of its main advantages over other general programming languages, which makes it a best practice for industry problems.

What do you dislike?

The immature relationship OP-python-Julia, is not a dislike, it is basically something that is in an introduction stage, but it will be very powerful when gets to right level of maturity

What business problems are you solving with the product? What benefits have you realized?

Supply chain network design, production planning optimization, etc. As a main benefits: high quality solutions, good solving times and flexibility to create/modify equations and connect the model with databases engines for data management.

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IBM Decision Optimization review by Consultant
Consultant
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"From rapid prototyping to advanced decomposition techniques"

What do you like best?

The ability to write quickly prototype with OPL

The ability to design high level optimization modules using CPLEX and CPO

What do you dislike?

Current Decision optimization platform User Experrience is obsolete with Decision Optimization Center

Recommendations to others considering the product

Roadmap still fuzzy regarding the switch from DOC to other deployment environment

What business problems are you solving with the product? What benefits have you realized?

Manufacturing, Maintenance, Crew staffing, Technicians Dispatching

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