IBM ILOG CPLEX CP Optimizer

Utilice la programación con restricciones para calcular planificaciones optimizadas y solucionar otros problemas de optimización difíciles de resolver.

IBM ILOG CPLEX CP Optimizer utiliza tecnología de programación con restricciones para solucionar problemas de planificación detallada y otros problemas de optimización combinatorios difíciles de resolver

IBM ILOG CPLEX CP Optimizer gestiona la complejidad de los problemas de planificación del mundo real referentes al personal, las máquinas o los pasos de los procesos. El solucionador de programación con restricciones IBM ILOG CPLEX CP Optimizer permite solucionar problemas de tipo "modelar y ejecutar" mediante sólidos algoritmos de búsqueda y propagación de restricciones.

  • Dé soporte a los objetivos empresariales optimizando los costes relativos a la tardanza o la antelación, los costes de duración y los costes que no son de ejecución.
  • Modele la estructura de fallos de trabajo de la planificación, las dependencias de las tareas y las diversas modalidades de producción.
  • Modele las reservas y los recursos de capacidad limitados.
  • Modele los tiempos de configuración para calcular planificaciones que definan los mejores tamaños para los lotes.
  • Descubra soluciones optimizadas a los problemas de optimización combinatorios que afectan a sus operaciones.
  • IBM ILOG CPLEX CP Optimizer es un componente de IBM ILOG CPLEX Optimization Studio que combina y simplifica las ofertas de productos de IBM para el desarrollo de modelos de optimización, la resolución de los problemas que plantea y su despliegue. En un único paquete ofrece toda la funcionalidad que anteriormente estaba disponible por medio de una matriz de configuraciones de componentes y productos, para que todas las herramientas y tecnologías estén disponibles durante la creación de prototipos y su desarrollo.
  • IBM ILOG CPLEX Optimizer proporciona una tecnología de optimización complementaria basada en la programación matemática que ofrece la resolución flexible y de alto rendimiento de problemas de programación lineal, programación cuadrática, programación cuadrática con restricciones y programación entera mixta.
  • Última versión: IBM ILOG CPLEX Optimization Studio 12.2 proporciona soluciones de MIP, especialmente en máquinas multiprocesadoras, conectores mejorados para herramientas de modelado de otras partes, nuevas visualizaciones gráficas en los diagramas Gantt de IDE y funciones acumulativas, soporte mejorado a la sintaxis de modelos de planificación detallada y soporte de API a la búsqueda y propagación de programación con restricciones.

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Overview

IBM ILOG CPLEX CP Optimizer uses constraint programming technology to solve detailed scheduling problems and other combinatorial optimization problems not easily solved using mathematical programming technology.

IBM ILOG CPLEX CP Optimizer handles the complexity of real-world scheduling problems for personnel, machines or process steps. IBM ILOG CPLEX CP Optimizer constraint programming solver enables model-and-run problem solving with robust constraint propagation and search algorithms.

  • Support business goals by optimizing earliness and tardiness costs, duration costs and non-execution costs

  • Model the work breakdown structure of the schedule, task dependencies as well as multiple production modes

  • Model finite capacity resources and reservoirs

  • Model setup times to compute schedules that define the best possible sizes for batches

  • Find optimized solutions to combinatorial optimization problems affecting your operations

  • IBM ILOG CPLEX CP Optimizer is a component of IBM ILOG CPLEX Optimization Studio, which combines and simplifies IBM’s product offerings for optimization model development, solving, and deployment. It offers in a single package, all the functionality that was previously available among an array of product and component configurations, making all tools and technologies available during prototyping and development.

  • IBM ILOG CPLEX Optimizer provides a complimentary optimization technology based on mathematical programming that provides flexible, high-performance solving linear programming, quadratic programming, quadratically constrained programming and mixed integer programming problems.

  • Latest version: IBM ILOG CPLEX Optimization Studio 12.4 offers improved access to predictive analytics tools with the connector to IBM SPSS Modeler. The connector enables CPLEX Optimization Studio to read data directly from SPSS Modeler streams and to visualize SPSS streams in CPLEX Optimization Studio's integrated development environment. This makes an integrated modeling environment for prescriptive and predictive analytics available to professionals using multiple advanced techniques. The CPLEX Optimizers offer significant performance gains both for mathematical- and constraint-programming. Additional enhancements include computation of dual values for second-order cone constraints in quadratic models, used especially in finance applications, and deterministic parallel search for constraint programming models, used especially in detailed scheduling. A new component, IBM ILOG CPLEX Enterprise Server, provides the capability to deploy OPL projects in enterprise environments using a client-server architecture, separating the computationally intensive algorithms of the CPLEX Optimizers onto dedicated hardware to alleviate the burden on more routine data handling and user interface tasks on database servers and desktop clients.

IBM ILOG CPLEX CP Optimizer Benefits

Constraint programming is invaluable when dealing with the complexity of many real-world sequencing and scheduling problems. Whether you are scheduling people, machines or process steps, you need constraint programming when there are too many operating constraints and individual business rules for solutions based on linear algebra.

IBM's constraint programming technology systematically eliminates possibilities in order to reduce the size of the "search space," rapidly identifying feasible solutions that can then be optimized. You can model your real scheduling and sequencing problems instead of simplifying them for an mathematical programming model.

IBM ILOG CPLEX CP Optimizer Features

IBM ILOG CPLEX CP Optimizer has many advanced features to help you save time and increase efficiency.

Modeling features for detailed scheduling problems

Optional tasks:

  • For modeling activities or processes that may or may not be executed in the final schedule

  • Tasks can be grouped to match the work breakdown structure of a problem

Precedence constraints:

  • Can model dependencies between tasks

  • Can include a delay

  • Can be applied to group of intervals

Expression on interval properties:

  • Express typical scheduling costs such as tardiness costs, completion costs or total duration

  • The presence status of an optional interval can be used to express completion costs or resource costs

  • Can be applied to group of intervals

Finite capacity reservoir and resources:

  • Specify limits on the number of tasks that can be performed in parallel with a common resources

  • Set constraints on inventory levels

Set-up times and batches

Calendars:

  • State that some tasks cannot start or end on some dates

  • State that some tasks that cannot overlap some dates

  • Define resource breaks

  • State that resource productivity changes over time

Resource states

Modeling features for discrete combinatorial optimization problems

Arithmetic linear and non-linear constraints

Logical constraints

Specialized constraints and expressions:

  • The all-different constraint: enforces uniqueness for each variable in an array

  • The pack constraint: packs items into containers with finite capacity in one dimension (time, weight, budget etc.)

  • The lexicographic constraint: enforces a lexical ordering between groups of decision variables and is convenient to break symmetries

  • The count expression

  • The standard deviation expression

Compatibility and incompatibility constraints:

  • Define possible assignments for arrays of decision variables. They can be used, for instance, to model allowed transitions in a sequencing problem.

Optimization engine features

Solves a large range of problems with default settings

Tested on an extensive library of models

A tunable search engine

A fast feasible solution generator, for use in multi-model architectures such as column generation

Product Details

Learn more about important concepts and features of IBM ILOG CPLEX CP Optimizer that enable you to work with it effectively and efficiently.

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IBM ILOG CPLEX CP Optimizer

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