Pros y Contras de IBM Decision Optimization

Finally a cloud based service for solving the most difficult management science and optimization problems. Reseña recopilada por y alojada en G2.com.

Is there any way to better integrate this with the rest of the IBM products? Any way to make this consumable by the user freindly tools that I already know and love from IBM. Reseña recopilada por y alojada en G2.com.

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. Reseña recopilada por y alojada en G2.com.

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 Reseña recopilada por y alojada en G2.com.

its capacity to enhance the DBRE process in utlizing comlelx decision tables Reseña recopilada por y alojada en G2.com.

There is nothing negative to report at this point. As we use the product in our modernization / DBRE projects, we will have more information. Reseña recopilada por y alojada en G2.com.

Resuelve problemas MILP muy fácilmente con muy poco tiempo de CPU. Reseña recopilada por y alojada en G2.com.

no resuelve los problemas de MINLP, especialmente la programación cúbica y más que eso. De manera similar, al resolver problemas de gran tamaño de MILP, toma mucho tiempo de CPU. Reseña recopilada por y alojada en G2.com.

It is one of the tool that is easy to learn and can find solutions very fast. Though there are some instances which takes lot of time. Reseña recopilada por y alojada en G2.com.

I would like to have global optmization feature added to it, at present the quadratic optimization problem is not able to solve more complex non linear problems. Reseña recopilada por y alojada en G2.com.

Product lift and output has been positive Reseña recopilada por y alojada en G2.com.

Blackbox solution that does not meet regulatory requirements. Reseña recopilada por y alojada en G2.com.

Innovation in new technologies in block-chain and Artificial intelligence Reseña recopilada por y alojada en G2.com.

Weakness in cloud storage in storing files and folders(picture, clip, ....) Reseña recopilada por y alojada en G2.com.

I have noticed improvements in optimization power of CPO and CPLEX by upgrading from 12.7.1 version to 12.8 version. My the most recent project is focused on scheduling problems using CPO and I can get better results in less running time which is great. Reseña recopilada por y alojada en G2.com.

I want to be able to output the solution in more friendly way. Reseña recopilada por y alojada en G2.com.

Its handy once you know how to code. However, for some problem instances it failed to give me solution because of memory issue Reseña recopilada por y alojada en G2.com.

Not very easy to learn, documentation on the programming is not very user friendly. Reseña recopilada por y alojada en G2.com.

The ability to write quickly prototype with OPL

The ability to design high level optimization modules using CPLEX and CPO Reseña recopilada por y alojada en G2.com.

Current Decision optimization platform User Experrience is obsolete with Decision Optimization Center Reseña recopilada por y alojada en G2.com.