Towards Decision Support Technology Platform for Modular Systems

TL;DR

This paper surveys a decision support platform for modular systems, integrating combinatorial frameworks and optimization techniques to aid in designing, evaluating, and evolving complex modular solutions across domains.

Contribution

It introduces a comprehensive decision support platform with seven engineering frameworks, combining multiple procedures and optimization problems for modular system analysis.

Findings

Describes a general scheme for decision support platform technology.

Highlights trends from alternative selection to processing composite modular solutions.

Details resource requirements and applications across domains.

Abstract

The survey methodological paper addresses a glance to a general decision support platform technology for modular systems (modular/composite alterantives/solutions) in various applied domains. The decision support platform consists of seven basic combinatorial engineering frameworks (system synthesis, system modeling, evaluation, detection of bottleneck, improvement/extension, multistage design, combinatorial evolution and forecasting). The decision support platform is based on decision support procedures (e.g., multicriteria selection/sorting, clustering), combinatorial optimization problems (e.g., knapsack, multiple choice problem, clique, assignment/allocation, covering, spanning trees), and their combinations. The following is described: (1) general scheme of the decision support platform technology; (2) brief descriptions of modular (composite) systems (or composite alternatives); (3) trends in moving from chocie/selection of alternatives to processing of composite alternatives which correspond to hierarchical modular products/systems; (4) scheme of resource requirements (i.e., human, information-computer); and (5) basic combinatorial engineering frameworks and their applications in various domains.