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Advanced decision support tools
SEAS Software
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SEAS develops decision support tools that bring intelligent automation to the decision-making process. SEAS core product, ISEE (Integrated System Evaluation Environment) is designed to integrate with selection-driven applications, such as procurement and supply-chain applications, to help end-users systematically determine the best selection among many complex choices.
SEAS has developed analytical applications that facilitate supplier comparison and selection, price negotiation tools that help buyers negotiate with suppliers, and a consulting approach that ensures successful implementation of the products and maximum return on investment. Built on superior technology that allows the user to select and control all of the complex variables for product selection and negotiation, it helps enterprise buyers make sound purchasing decisions that can be quantified, documented, and justified.
SEAS ranking engine stands out among decision support tools as:
- The only tool based on replicating complex human decision logic instead of approximating decisions through linear scoring methodologies such as weighted average
- The only tool to provide verbalized and documented decisions
Simplifying Decisions, NOT Decision Logic
The SEAS solution is based on Logic Scoring of Preference (LSP), a quantitative method used for evaluation, optimization, comparison, and selection of general complex systems. This method captures user preferences, represents complex logical relationships between them, and uses an aggregate function to accurately rank options. The method is supported by continuous logic foundations and involves a systematic process to refine user criteria, quantify preferences, and handle interdependencies between preferences. Unlike most competing technologies, the LSP method treats cost as a standalone factor that can be dynamically manipulated during the evaluation. Cost/preference analysis is a separate step of the evaluation process. This allows buyers to use SEAS modeling techniques for price optimization and bid negotiation. Similarly, sellers can use SEAS technology for profit optimization in competitive bidding environments.
SEAS' core product is a compartmentalized middle-tier ranking engine that can easily be integrated into existing purchasing software or with other enterprise applications. The core product, in conjunction with SEAS' Sourcing Methodology Consulting Services, is also sold directly to customers. This streamlined, quantifiable consulting approach entails a rapid, precise assessment of customers' needs and then implementation of the most appropriate configuration for the core product. To learn more about the SEAS ranking engine, other component technologies, or partnering opportunities please send a request for information.
SEAS Tools
Integrated System Evaluation Environment (ISEE) is a standalone software package implementing the LSP methodology. To learn more about ISEE components and their relationship to SEAS methodology, please refer to our sample evaluation project diagram.
The LSP method is easily applied to a variety of verticals. SEAS' specialized products include:
- Computer Configuration Optimizer (CCO), customized solution for computer system selection
- Optimum Location Selector (OLS), spatial planning solution
Integrated System Evaluation Environment (ISEE) is a software package implementing the LSP Methodology. It includes the following tools:
- ANSY (ANalysis and SYnthesis of preference aggregation functions).
- CDS (Criterion Development System) is a specialized database system for creating and updating a database of elementary criteria and aggregation functions, and for fast production of quality LSP documentation.
- SEL (System Evaluation Language) is a specialized interpretative language used for writing system evaluation and optimization programs.
- CPA (Cost-Preference Analyzer) is a system for implementing cost-preference aggregation models used during financial negotiations.
Each computer configuration is characterized by two global indicators: the global cost (C) and the global preference score (E). CCO is used for solving the following three optimization problems:
- Best configuration for a limited cost
Finding a computer configuration with the maximum preference score for a constrained global cost Cmax (the optimum configuration has the highest score of all systems satisfying minimum requirements at acceptable costs)
- Minimum cost for mandatory requirements
Finding a computer configuration with the minimum cost for a given minimum desired level of preference
- Best value
Finding a computer configuration that achieves the maximum preference/cost ratio (i.e. yields the maximum preference per unit cost).