Mechanical Engineering Consultants, Manufacturing Engineering Consultants and Improvements Specialists, Contract Engineering Services, Technical Staffing Services and Professional Employment Recruiters in Cincinnati and Dayton Ohio
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since 1999

Glossary of Site Terms



Benchmarking Performance See manufacturing efficiency studies
Centerlining Process for determining optimal machine operating points usually done using Design Of Experiments (DOE) procedures.
Contingent Labor Personnel working for temporary-help or contract staffing agencies assigned to work on other companies projects for as long as the project lasts.
Design of Experiments (DOE) Method for determining which and how many experiments to be run to reach conclusions on the importance and dependency of parameters. Parameters are variables: constituents, tolerances, set-points (e.g. food ingredients, machine operating set points, and product allowable dimensional variations)
Discrete Event Modeling Operations, either manufacturing processes (e.g. work piece flow, "making" equipment or "converting" equipment operation flows) or service related (e.g. airport hub flow, banking queuing, telecommunications hub and signal processing) can be modeled as a numerical simulation based on the probabilities of occurrence of individual events. The simulation steps through one event at a time, using a Monte Carlo random number generation approach and the probabilistic distribution for determining the next event. To improve the accuracy of the simulation, numerous simulation runs or "trials" must be made and combined into new probabilistic distributions for the events of the process. See queuing theory modeling.
Efficiency Studies See manufacturing efficiency studies. Application of the same techniques to any type of service process (e.g. accounting operations, management decision making, IS department support operations)
Energy Audits Process of evaluating and systematically detailing energy consumption of equipment in buildings and manufacturing processes. The next step after the audit is to develop a detailed plan for reducing energy consumption and to determine the ROI (Return On Investment) from the cost-savings analysis.
FD Finite difference is another numerical modeling method similar in principle to FEA but using different and simpler numerical solution methods. It is particularly well suited to 2D flow network analysis and 2D heat transfer analysis.
FE or FEA Finite element analysis is a numerical modeling method originally developed by civil engineers to analyze truss structures and now applied to analysis of stress, heat transfer, fluid flow, vibrations, and electromagnetic fields. It is used for the analysis of complex shapes and systems that would otherwise be difficult to perform by hand calculations. FEA methods allow more precise analysis results enabling the designer to eliminate safety factors previously used to protect against unknown and unaccounted for stresses and other design parameters not easily calculated by hand.
Forensics Engineering Engineering analysis undertaken to determine the cause of system or component failure. Failures can be caused by material defects, operating conditions, lack of analysis to set operating limits, manufacturing reliability problems, errors in analysis verifying design features, inadequate safety features among others.
Heat Transfer Analysis Engineering analysis of heat in which all sources, all sinks and the medium(s) through which the energy is carried are identified. The rate of heat transfer, either into or out of the component, as well as the capacity of the component to hold heat is determined. And finally, the effects on material properties and stresses from heat buildup or cool-down are determined.
Management Consultants (Management Advisory Services) Advice CEO to CEO on a wide array of topics usually on a retention basis. Possible topics: accounting system choices, IT maintenance options, engineering software decisions, HR (Human Resources) recruiting methods, recruiting choices, retention programs and benefits, manufacturing cost reductions and efficiency increases, manufacturing location selection, corporate headquarters selection, marketing studies, advertising agency selection and performance criteria, research into the selection of any number of outside service providers, among many others. The idea is to retain outside advisers to provide unbiased advice and opinions on any topic to managers do not have time to do research themselves in an effort to understand the current market. Management advisors often act to counter salespersons' pitches since they have no vested interest in the product being sold.
Manufacturing Efficiency Studies Process of: 1. determining the optimal performance of a process 2. comparing a current manufacturing operation to the optimal performance and 3. determining how to change the current process to become more like the predicted optimal performance.
MCAD Solid modeling CAD (Computer Aided Design) software
Monte Carlo Method employing random numbers, called seeds, in which all the probable seeds are assigned a likelihood of occurrence. For each time step only one seed is generated which represents the event. For an event having a 50% probability of occurring, 50 out of 100 unique seeds are possible to represent that event.
Outsourcing Practice of using human resources working for other companies to perform company required tasks.
Queuing Theory Modeling Queuing theory is different from discrete event modeling in that it is a system of formulas representing a system that takes inputs, such as manufacturing product arrival rates and service time, and delivers results including average time in system and average utilization of resources. Systems modeled by queuing theory must be represented by formulas and therefore cannot be complex representations. Queuing theory cannot handle real statistical distributions of events and instead uses "Erlang" distributions that are calculated only once and tend to yield average results as opposed to discrete event simulations in which multiple runs known as "trials" must be calculated from representative statistical distributions in order to arrive at results that could actually occur over time. Queuing theory results always fall somewhere within the discrete event trial confidence limits results.
Reliability Engineering Methodology for designing equipment systems in which known and assumed component failure rates are considered in an effort to design the system with higher up-time rates than would be possible otherwise.
Reverse Engineering Process of examining a process, product or machine and creating the original detail drawings and operational parameters. The examination process includes assessing the materials of construction, measuring all parts, determining tolerances from the manufacturing processes used, and creating the Bill of Material list including Off-the-Shelf parts specifications. Reverse engineering is typically done to understand competitors products and to specify products developed and manufactured by suppliers and "prototypists" not furnishing detailed plans.
Root Cause Analysis Systematic approach to finding all levels of system interactions in an effort to determine the true cause of system failure.
Six Sigma Quality program first developed by Motorola and expanded by GE to improve the statistically-based quality improvement efforts in manufacturing. Named 6-sigma because the goal in reducing part defects is to reduce meaningful deviations to nearly zero. GE and many other companies now apply 6-sigma techniques to every aspect of their business as a rigorous continuous improvement regimen to redesign operations into processes of doing work having little or no potential for error. Is in direct conflict with programs to develop and improve the creativity and innovative nature of people and their new product ideas.
TRIZ (sometimes called TRIS) (Theory of Inventive Problem Solving). A methodology and database first created by G. Altshuller to enhance the flow of ideas or innovation while solving engineering design problems. The database is comprised of sets of associations common among nearly all patentable ideas and is referenced while the designer breaks the design problem into fundamental engineering areas such as materials and energy forms (e.g. electricity and chemical composition).
Value Engineering Subset of manufacturing engineering in which statistic methods, like six sigma, are employed to determine the best value choice among all possible decisions.


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