The Wolfram Solution for

Operations Research

Simulate your processes with ready-to-deploy, fully interactive models using a combination of powerful computation, analysis, and dynamic report generation—all in one system, with one integrated workflow.

Underlying the Wolfram operations research solution are state-of-the-art local and global optimization techniques, sophisticated graph algorithms, and efficient random number generation.

Developing fast, robust computer simulations using built-in functions
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Wolfram technologies include thousands of built-in functions and curated data on many topics that let you:

  • Model and optimize supply chains
  • Design factory layouts for efficient flow of materials
  • Solve dynamic vehicle-allocation problems
  • Maximize airline revenue using leg-based and network-based seat inventory management
  • Optimize maritime transport operations such as ship routing, scheduling, and fleet utilization
  • Perform schedule planning of aircraft and crew members and operations of aviation infrastructure such as airports and air traffic
  • Develop computer simulations to minimize outpatient wait times in hospitals, explore queueing networks in material handling systems, and more
  • Analyze queueing systems and perform Markov process computations
  • Perform effective project management using critical path analysis or PERT techniques
  • Improve system reliability
  • Estimate the lifetime of mechanical assemblies and biological systems

Modeling the inventory size and inventory costs of a business that receives regular deliveries

Illustrating the minimization and maximization of a function subject to a constraint

Next: How Wolfram Compares
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Does your current tool set have these advantages?

  • Automatic, interactive interface construction to visualize your simulations, examine model sensitivity to parameter changes, and more
    Unique to Wolfram technologies
  • Easy development of computer simulations of stochastic processes, discrete events, and more using built-in functions such as RandomReal, RandomInteger, and RandomComplex
    C/C++, Java, and other programming languages require importing libraries and writing lengthy code for random number generation from continuous and discrete distributions
  • Automated precision control and arbitrary-precision numerics produce highly accurate results to ill-conditioned problems
    Excel, Matlab, and other systems that rely on finite-precision numerics can cause serious errors due to lack of precision
  • Built-in functionality for constrained and unconstrained optimization, statistical analysis and computation, curve fitting, and a range of other application areas
    Matlab requires the purchase of multiple toolboxes
  • Easy-to-use parallel computing capabilities for solving computation- or data-intensive problems on multicore computers or grids
    Extensive programming is required to parallelize processes in all other systems
  • Integrated access to historic and current financial, socioeconomic, geographic, and scientific data immediately suitable for computation
    Unique to Wolfram technologies
  • Complete workflow, from simulation to analysis to typeset documents or interactive slide shows, in a single document
    Unique to Wolfram technologies

Graphically determining the solution of a linear programming problem

Capacity planning for short-life-cycle products

Next: Key Capabilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

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