MBDM, Inc is an Advanced Decision Modeling, Precision Manufacturing, Industrial Engineering & Scientific Research Company.

Our business is built on the premise that the world we live in today is more complex than it has ever been. We recognize that value is either created or destroyed at the point where decisions are made and that companies and government agencies now need to make decisions within shorter times frames but with more constraints, parameters and decision variables. In essence, less time to make decisions and less time to recover from mistakes.

To support this new Decision Paradigm, MBDM has developed, and delivers value through, 5 Key Disciplines:

• Our Precision Manufacturing (PM) capabilities - begin with Product Design and Development and extend to Design for Manufacture and Assembly (DFMA). In the process, we undertake a review and selection of materials and processes and the designs for individual part manufacture. Along with our partners, we can design and manufacture to the toughest military and commercial specifications and where necessary, use the latest duoBLOCK 5-Axis DMG, 2D and 3D CAD, Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD) and Computer Aided Manufacturing (CAM) technology to provide efficient, practical designs.  

• Our Industrial Engineering (IE) capabilities enable the creation and optimization of complex high technical specification products, business processes and systems. Our engineering capabilities emphasize extensive technical and mathematical proficiency and usage of quantitative methods in support of complex designs, manufacturing paradigms and optimum end user products and outcomes to meet the most strenuous operating conditions.
  

• Our Operations Research (OR) capabilities enable the optimization of end-to-end operations and service management systems, manufacturing systems and supply chains.
  

• Our Management Consulting (MC) capabilities enable thought leadership in the design and implementation of tomorrow's business construct having due regard to the supply chain complexities of cost and profit management and the need for transparency in accounting and finance systems.

• Our Scenario & Simulation Modeling (SSM)  capabilities enable the replication of real world systems. We recognize that Systems Configurations, Cyber-based Telecommunications and Logistical Supply Chains are complex real-world systems, containing many different components which interact, in complex interrelationships. The analysis of such systems can become extremely difficult and the modeling techniques tend to analyze each component rather than the relationships between components. Our simulation modeling capabilities are honed to replicate the basis on which, and the scenarios within which, these real world systems comprise. They highlight how exposed an entities systems may be to attacks and risks enabling you to prepare contingencies and make advanced decisions about what to do to reduce and mitigate their effects on your decision space and your operational effectiveness.

In executing across these 4 disciplines, MBDM delivers high quality Decision Environments (DE's) where decision outcomes are largely known before they are achieved, business constructs are agile and fluid, and where ROI's, on average, exceed 20:1.



Contact us if you want to know more...

OUR SIMULATION MODELING CAPABILITIES

The simulation approaches we use are able to model large, complex stochastic systems for advanced contingent planning, war response configurations, forecasting or performance measurement purposes. they are the most effective quantitative modeling techniques in use (see image 3D images below).

 3D Complex Dynamic Simulations

         3D Model Insights

 3D Dynamic Process Insights

 3D Dynamic Production  Insights

The selection and use of simulation modeling approaches is usually driven by a sensitivity to high levels of exposure and risk, high cost, high impact and extreme uncertainty - such that more data is not the answer.

The old legacy systems have their own innate constraints also. In addition, other modeling techniques may impose material mathematical restrictions on the process, and also require multiple intrinsic assumptions to be made.

All these factors make simulation modeling a growing necessity for effective decision support.

NETWORK TRAFFIC SIMULATION MODELS

In their simplest form, network traffic simulation models usually follow these four steps:

•         Modeling the system as a dynamic stochastic (i.e. random) state space

•         Generation of the realizations of this stochastic process

•         Measurement of Simulation data

•         Analysis of output data.

Let us help you simulate your high risk environments...we'll change how you view and manage the risks that lurk in those spaces...