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 Mathematica operations research solution is state-of-the-art local and global optimization techniques, sophisticated graph algorithms, and efficient random number generation—all with the reliability of Mathematica's symbolic and algorithmic capabilities.
Developing fast, robust computer simulations using built-in functions
Simulating a GI/G/1 queue using interarrival and processing time sequences to examine the queue behavior in stable, critically loaded, and unstable regimes
Interactively optimizing business operations using state-of-the-art optimization routines
Finding the optimal transport scheduling for two depots supplying building materials, and optimizing production planning by manipulating the Cobb-Douglas and isocost functions
Advanced graph algorithms, including Dijkstra, Kruskal, Bellman-Ford, and more, for network routing applications such as internet congestion control, design of high-speed communication networks, and other applications
Easy development of computer simulations of stochastic processes, discrete events, and more using built-in functions such as RandomReal, RandomInteger, and RandomComplex Competitor note: C/C++, Java, and other programming languages require importing libraries and writing lengthy code for random number generation from continuous and discrete distributions
Built-in functionality for constrained and unconstrained optimization, statistical analysis and computation, curve fitting, and a range of other application areas Competitor note: 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 Competitor note: 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 Competitor note: Unique to Mathematica
Complete workflow, from simulation to analysis to typeset documents or interactive slide shows, in a single document Competitor note: Unique to Mathematica
KEY CAPABILITIES
WHY CHOOSE MATHEMATICA
WAYS TO USE
Optimizing maritime transport operations such as ship routing, scheduling, and fleet utilization
Designing factory layouts for efficient flow of materials
Maximizing airline revenue using leg-based and network-based seat inventory management
Modeling and optimizing supply chains
Aircraft and crew schedule planning, and operations of aviation infrastructure such as airports and air traffic
Developing computer simulations to minimize outpatient wait times in hospitals, explore queuing networks in material handling systems, and more
Queuing systems and Markov process computations
Solving dynamic vehicle-allocation problems
Effective project management using critical path analysis or PERT techniques
"Our error rate, in terms of sending incorrect results to our clients, has decreased by four orders of magnitude. So we used to have 10 to 15 errors a day in our laboratory. Now, it's 2 or 3 every year, and that's a big advantage."
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