The Wolfram Solution for

Industrial Engineering

Optimize your processes, implement quality management measures, rapidly prototype and deploy interactive applications, and generate live reports automatically—all in one system, with one integrated workflow.

Underlying the Wolfram industrial engineering solution are state-of-the-art algorithms; sophisticated statistical analysis tools; self-checking, high-precision arithmetic; and the world's most accurate symbolic and numeric engine.

Simulating the path of an industrial robot using Wolfram SystemModeler
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Key Capabilities

Wolfram technologies include thousands of built-in functions that let you:

  • Design and simulate manufacturing processes with Wolfram SystemModeler
  • Develop statistical process control measures
  • Design and analyze supply chains
  • Design custom engineering components that adhere to tight tolerances
  • Develop computer simulations of industrial engineering systems
  • Improve manufacturing process efficiencies using Lean manufacturing techniques
  • Implement quality management methodologies, such as Six Sigma
  • Develop production schedules and establish inventory levels
  • Automatically compute design quantities, including closed-loop transfer functions, PID parametrizations, and more
  • Predict failure of components

Analyzing configurations in which cylinder bounce occurs in a printing press with Wolfram SystemModeler

Finding the solution to an evolutionary multi-objective optimization problem interactively

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Key Capabilities

Does your current tool set have these advantages?

  • Built-in functionality for constrained and unconstrained optimization, statistical analysis and computation, simulation, curve fitting, and a range of other application areas
    Matlab requires the purchase of multiple toolboxes
  • Instant, interactive interface construction using a single command to visualize your simulations, examine prototype sensitivity to parameter changes, and more
    Unique to Wolfram technologies
  • 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
    Matlab requires an extra-cost toolbox
  • Automated precision control and arbitrary-precision numerics produce accurate results for large-scale finite element analysis and other problems
    Matlab relies on finite-precision numerics, which can cause serious errors due to lack of precision
  • Highly optimized superfunctions analyze your equations and automatically select the right algorithms to get you accurate results quickly—sometimes switching mid-calculation for further optimization
    Non-Mathematica computation systems make you analyze your equations manually to determine which function to apply—for example, where in Mathematica you use NDSolve, in Matlab you must correctly choose among ode45, ode23, ode113, ode15s, bvp4c, pdepe, and so on, or risk wrong answers
  • Complete workflow, from simulation to analysis to typeset document or interactive slide show, in a single document
    Unique to Wolfram technologies

Controlling an inverted pendulum with Wolfram SystemModeler

Solving a constrained optimization problem

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The Wolfram Edge
How Wolfram Compares
Key Capabilities

Wolfram SystemModeler is the most complete physical modeling and simulation tool for high-fidelity modeling. With SystemModeler, you can:

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