|ORMSware (ormsware) benefits
- Lucid, visual quantitative models that inspire, involve and
connect all stakeholders of a problem
- Monte Carlo Simulation for uncertainty analysis
- Parameter-driven discrete event simulation
(simulator) with totally flexible modeling perspectives (e.g.
customers becoming resources and vice versa)
- Standalone execution without ORMSware once a model or
discrete event simulation is
- Portable programs with architecture-independent numerical
- Optimization, goal-seeking and numerous helpful supervisory functions
- Powerful array operations
- Aids in transforming complex spreadsheets into visual quantitative
network models that are easy to understand, modify and maintain
- Allows hybrid models, retaining in spreadsheets easy parts in while
moving complex parts to ORMSware
- Automatic variable time dimension to easily express problem dynamics
ORMSware is a rapid visual quantitative modeling
tool built by Reginald Joules at Ushar Enterprises Inc. ORMS in ORMSware stands
for Operations Research/ Management Science. The first component
of ORMSware released in February 2003 was the
Modeler (NMOD). Discrete event simulation components
(Resources and Statistics) were added in Summer of 2015.
NMOD enables engineers and analysts to
focus on quickly developing quantitative models that are too large and/or
complex for spreadsheets, while avoiding the undesirable
distractions of heavy admin burdens of programming.
NMOD has also turned out to be an ideal
tool for systematic, rapid, risk-less transformation of
legacy spreadsheets into visual quantitative networks.
Many organizations have spreadsheets that
have evolved over time into constraining spaghetti structures that
are too risky to modify and hard to maintain.
Perhaps the most fundamental drawback of spreadsheets is the
difficulty in using one of the three basic constructs in
programming, viz. iteration. While it is possible to override
default circular logic protections or use Visual Basic for
Applications (VBA) to implement iterations/recursions/do-loops
they are clumsy ways to implement inevitable recursion needs in
virtually any quantitative decision model.
We have a low-cost,
high-impact methodology for transforming spreadsheet models into
visual NMOD models that are easy to understand, maintain and
|Networks Everywhere One Looks
The general ORMSware paradigm is
anchored in the undeniable fact that logical networks
are pervasive structures which can be used to visually express quantitative
solutions in any discipline, in any application arena.
network objects in combination with easy
ORMSware notations make it possible to model virtually any
quantitative problem in any setting.
|Loosely Coupled, Tightly Held
NMOD's distributed components are loosely coupled but tightly coordinated and
Since the NMOD engine is totally free from Windows
overhead, and is detached from NMOD's model definition environment
(Visio and UltraEdit browser), NMOD models execute very fast.
This is a critical advantage when models are complex, large-scale
and computationally intensive.
NMOD's engine is not confined to running
on the PC platform. NMOD models are portable to any platform,
from workstations to supercomputers.
Our target customers are...
- Organizations in
both government and commercial sectors who are continually engaged
in developing and maintaining complex and large-scale scientific
and engineering models and advanced quantitative business models.
- Organizations eager to migrate complex production spreadsheets
partially or totally to an environment where content logic
is easy to see and understand.
- Organizations seeking rapid-response off-the-cuff
disposable automation similar to spreadsheets, with the
power of traditional software engineering and the benefit of
more easily verifiable visual logic.
product that funded ORMSware R & D
Attn: ORMSware Project
8624 Palermo Way
McKinney, TX 75071, USA