Modeling & Consulting

ACE is unique in applying a wide range of quantitative techniques, computational tools and logical methodologies to management decision-making problems. Every business seeks to minimize costs and maximize profits. Yet understanding how these challenges can be met by modern technology is a daunting task. ACE consultants are world experts in seeking solutions to these challenges. We have many years of experience in understanding business models and finding how to model and optimize them. Each member of our team brings to the problem a different background and training, and each has at his command a wide variety of analytic techniques which have already proved successful in his particular field of endeavor.

ACE offers a complete suite of solutions from consulting and modeling to problem solving, software development and system deployment. The primary objective of ACE consulting is to help managers make better decisions by solving problems more effectively. In the interest of attaining this objective, we have developed and adapted a large number of systematic procedures mathematical techniques, computing software and from various disciplines.

ACE encompasses the application of a scientific approach to problem solving. The objective of our scientific decision making is to make good choices from the existing alternatives by utilizing systematic means to generate information concerning the decision environment and evaluate the range of decision alternatives in a logical, precise manner. As a result, the basic premise of ACE consulting is a rigorous and careful approach to all phases the following phases. Whether these steps are followed in precisely the order described below often depends on the nature of the problem being studied and the individuals performing the analysis.

1. Observation

This first step of the ACE approach is the continuing study of the system (organization) in an attempt to identify problems and customer requirement.

2. Problem Definition

Before Solutions to a problem can be considered, an accurate definition of the problem must be formulated. This step includes for the ACE consultants to identify the possible alternatives available to management. Also, the objectives, or goals, of the system under analysis must be clearly defined. The started objectives help to focus the attention of the analyst on the problem and its effects on the total organization. Finally, in order to evaluate the performance of a proposed solution, solution, measurement criteria, such as cost or profit, must be specified.

3. Model Construction

This step involves formulation of a model through which the system can be manipulated and experimented on. Models are abstractions of reality in which only those components relevant to the problem being analyzed are included. Thus a major portion of model construction by ACE consultants involves identification of relevant components and description of the relationships among these components.

4. Model Validation

The fourth step requires that all assumptions employed in the construction of the model be identified and validated. ACE heavily emphasize that model must be checked to see if it correctly reflects the operation of the system it represents.

5. Problem Solution

The step involves solution or operation of the model in order to observe its performance under different conditions. Whether or not the problem reflected by the model is solved depends on the nature of the study and the objective of the analysis. ACE can either leverage on its computational packages, or license tools from third parties, or develop customized software from its strong research and development team.

6. Tool Development

The true value of the process is in the impact that implementation has on the performance of the system studied. A critical aspect of this step is the interface between the ACE consultants (the model builder) and the management environment, not only at the end of the model development and solution but throughout analysis procedure.

7. System Deployment

This last step is the logical result of model development and problem solution. A scientific study is of little value unless it is ultimately put to use in some form.