Towards Decision Support Technology Platform for Modular Systems
Mark Sh. Levin

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);…
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Taxonomy
TopicsProduct Development and Customization · Manufacturing Process and Optimization · Design Education and Practice
