Our highly skilled operations research analysts use state of the art optimization and analytics technology to find innovative optimized solutions to very complex business problems.

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Transportation Logistics

Aptonet engineers are focused on the safe and efficient movement of people and goods. They assist all types of transportation situations, including railroads, mass transit systems, airports, harbors, ports, and highways. They apply their specialized technology knowledge and understanding of the economic, social and political factors of their area of expertise.

At Aptonet’s Operations Research Group, our highly skilled operations research analysts use state of the art optimization and analytics technology to find innovative optimized solutions to very complex business problems.

Our analysts work very closely with our customers to understand the business rules and identify opportunities for improvement. Then they formulate the appropriate optimization or simulation models and develop the computer programs. Finally they work closely with IT organizations to integrate the optimization engines into the corporate applications.

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OperationS Research Group

Expertise in transportation processes, business attributes and drivers, transformation, geography, innovation, costing and improvements, competitive advantages, implementation, not only for the present needs but also for the future.

Our PhD’s research, plan and model traffic management, control, capacity, intelligent systems, geometric designs, etc.

They research, develop and implement advanced quantitative models and provide management with recommendations to improve business processes, increase revenues, and reduce costs for the transportation industry. Deliver operations research models and decision support systems. Identify opportunities for process improvement.

Our experts make use of a variety of technologies in order to create domain-specific intelligent systems:

C++ to compute information and work flow using coding techniques of an object oriented and embedded systems nature. Create code and process interacting with equipment/machine.

Java to create processes at an enterprise level of architecture incorporating business rules layers, communication layers and front end layers with event driven and object oriented architectures, as well as browser or web based architectures.

Matlab to express computational mathematics, analyze large data sets, integrate with other languages, simulate and test operational scenarios, deploy algorithms and applications with the web, the proprietary enterprise systems as well as production systems.

SQL is fundamental for data queries, stored procedures, extraction and transformation processes, data analysis, data base production processes, data storage, etc. For safety and compliance reasons transportation processes use business rules embedded SQL in the code of the process.

Linux operating systems allow the process flows to exist and carries the process.

HTML allows the engineer to create web pages, user interfaces both for mobile and web applications. It is a cornerstone technology.

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Cplex is extremely important as a mathematical programming technology. It is an optimizer enabling efficiency improvement, cost reduction and increase in profitability. It solves problems with millions of constraints and variables. This technology is used as a high performance mathematical solver in linear programming, integer and quadratic programming, and constrained programming. It is an efficient and complex technology for robust algorithms for demanding problems.

AMPL is also very important as a algebraic modeling language to solve high complexity and large scale mathematical computing.

ArcGIS is a technology that allows the engineer to analyze the geography aspect of the transportation engineering. It combines maps, terrain, distances, elevations, population concentration, urban planning, business and traffic concentration, infrastructure development and maintenance, land management, Hazmat and other safety related processes as well as SDE architecture, incorporating dimensional models, data, and 3d orientation. ArcGis is an essential technology in the mobility capabilities of the transportation engineering.

LabView is necessary for data acquisition, instrument control and industrial automation. It is a system design platform. It is used for data flow programming, graphing programming, as well as interfacing with devices.

VISSIM is a dynamic simulation and model based software. It is used for traffic simulation, modeling and control; model based embedded development and communications system design.

CORSIM is a microscopic traffic simulator.

SAS is an essential for analytics. This is a key technology to optimize freight logistics.

Databases, data and big data in conjunction with SQL is also a cornerstone. Data and processes need a database to process data. Entity relationships and data models need to be well designed in order to guarantee the quality of the data and the outputs. These systems usually are large enterprise related, thus the amount of data being processed as well as the transactions being done is enormous. This places an extra pressure on the need for proper database optimization as well as performance tuning using SQL both at code level as well as database level. Last but not least knowledge of methods for software development is needed in order to create intelligent systems that are well distributed, integrated, optimized, and in general terms well put together. It relates to having a domain specific and efficient process that delivers the actionable information the enterprise needs.

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Operation Research Models involving mathematical models, statistical models, sequencing models, routing models, competitive models, queuing models, simulation techniques, replacement models, advanced OR models, combined methods, etc.

All these are needed to formulate and analyze mathematical representations of pertinent problem features of the transportation enterprise.

Mathematical algorithms including exact solution approach and meta heuristic and analyze statistical data for the transportation industry- to create a system of equations using algebraic methods that resolves a problem with an exact solution.

Meta heuristic approaches are algorithms to find solutions to optimization problems when exact techniques prove inadequate. These classes of algorithms include simulated annealing, tabu search, variable neighborhood search, and genetic algorithms.

Simulations to help diagnose issues in complex operations. Optimization intelligently evaluates all possible scenarios and returns an optimal one. Optimization models simulate operating scenarios by including a range of extra constraints. This is domain specific specialized mathematical analysis.


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