OCAISYMar 29, 2013

Note on Combinatorial Engineering Frameworks for Hierarchical Modular Systems

arXiv:1304.0030v16 citations
Originality Synthesis-oriented
AI Analysis

This work addresses system design and maintenance challenges in hierarchical modular systems, but appears incremental as it builds on existing combinatorial methods.

The paper proposes combinatorial engineering frameworks for solving complex problems in hierarchical modular systems, using hierarchical morphological system models and standard combinatorial optimization problems like knapsack and assignment problems.

The paper briefly describes a basic set of special combinatorial engineering frameworks for solving complex problems in the field of hierarchical modular systems. The frameworks consist of combinatorial problems (and corresponding models), which are interconnected/linked (e.g., by preference relation). Mainly, hierarchical morphological system model is used. The list of basic standard combinatorial engineering (technological) frameworks is the following: (1) design of system hierarchical model, (2) combinatorial synthesis ('bottom-up' process for system design), (3) system evaluation, (4) detection of system bottlenecks, (5) system improvement (re-design, upgrade), (6) multi-stage design (design of system trajectory), (7) combinatorial modeling of system evolution/development and system forecasting. The combinatorial engineering frameworks are targeted to maintenance of some system life cycle stages. The list of main underlaying combinatorial optimization problems involves the following: knapsack problem, multiple-choice problem, assignment problem, spanning trees, morphological clique problem.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes