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Mathematical Programming (MP) models are, and should be in practice, important components of any optimum-decision support system (DSS). A DSS can be created for any decision problem whose mathematical model can be constructed appropriately and which should be solved either optimally, using appropriate mathematical programming techniques, or almost-optimally using certain heuristics. The ultimate goal is for a fully utilizable DSS to run under the environment of state-of-the-art computer software.
The sample interactive decision support system (IDSS) runs under the AIMMS platform. It demonstrates the benefits derived from information technology (IT) in facilitating not only the acquisition (using specific numerical solvers) but also the online presentation (through computer graphical user interface (GUI)) of important results of mathematical programming methodologies in the solution of certain optimization problems. It also demonstrates how a modeler, in developing a DSS using AIMMS, can provide the decision-maker (the end-user of DSS) with the most user-friendly interactive support for taking an optimum decision.
Read the complete articles:
A Sample Interactive Decision Support System (IDSS) using a Multi-objective Mathematical Programming (MOMP) Model for River Pollution Control- A Sample Interactive Decision Support System (IDSS) using a Multi-objective Mathematical Programming (MOMP) Model for Controlling Pollution in Cement Manufacturing
- A Sample Interactive Decision Support System (IDSS) using a Mixed-Binary Linear Mathematical Programming (MILP) Model for Fleet Routing and Multi-Commodity Distribution in a Network
- A Sample Interactive Decision Support System (IDSS) using Howard’s Dynamic Programming Recursive Mathematical Formulation for Optimal Planning Strategy Determination
- Metaheuristics for Large Scale Fleet Routing for Multiple Products Distribution in a Network (Part I - Improving each Vehicle Tour)
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Dr. Cesar G. Tapia, University of the Philippines |
