Relationship Engineering

Engineering has advanced for more than a century by improving materials, components, and the systems that integrate them. As engineered systems become increasingly interconnected, autonomous, and adaptive, a growing share of their behavior is determined not by any single component but by the relationships among components, subsystems, missions, and the dynamic environments in which they operate. This paper proposes Relationship Engineering: a candidate research direction in which measurable relationships are treated as explicit objects of engineering design, analysis, and optimization, alongside the components and systems that current practice already addresses so effectively. The proposal is offered as a complement to established disciplines — systems engineering, model-based systems engineering, network science, control theory, complexity science, and cybernetics — each of which already engages part of this territory, rather than as a replacement for any of them. We situate the proposal historically, review what the neighboring disciplines contribute, and ask whether a distinct layer of practice organized explicitly around the relationship as a unit of analysis would yield research and design leverage that the individual disciplines, pursued separately, do not. We introduce a minimal vocabulary and a tentative construct, the relationship unit, intended to make relationships specifiable and comparable. To keep the discussion concrete, we use transportation — and, within it, the relationship between a vehicle and the atmosphere through which it moves — as a single demonstration domain. We close with a research agenda, a candid discussion of limitations and anticipated criticism, and an invitation to collaborate. The paper advances no claim of inevitability; it proposes a direction and argues that the direction is worth investigating.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-17
DOI
https://doi.org/10.5281/zenodo.21404020
Primary Topic
Systems Engineering Methodologies and Applications
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Relationship Engineering

Brian Smith
Zenodo (CERN European Organization for Nuclear Research)
Systems Engineering Methodologies and Applications
preprint

Relationship Engineering

Brian Smith
preprint en

Abstract

Engineering has advanced for more than a century by improving materials, components, and the systems that integrate them. As engineered systems become increasingly interconnected, autonomous, and adaptive, a growing share of their behavior is determined not by any single component but by the relationships among components, subsystems, missions, and the dynamic environments in which they operate. This paper proposes Relationship Engineering: a candidate research direction in which measurable relationships are treated as explicit objects of engineering design, analysis, and optimization, alongside the components and systems that current practice already addresses so effectively. The proposal is offered as a complement to established disciplines — systems engineering, model-based systems engineering, network science, control theory, complexity science, and cybernetics — each of which already engages part of this territory, rather than as a replacement for any of them. We situate the proposal historically, review what the neighboring disciplines contribute, and ask whether a distinct layer of practice organized explicitly around the relationship as a unit of analysis would yield research and design leverage that the individual disciplines, pursued separately, do not. We introduce a minimal vocabulary and a tentative construct, the relationship unit, intended to make relationships specifiable and comparable. To keep the discussion concrete, we use transportation — and, within it, the relationship between a vehicle and the atmosphere through which it moves — as a single demonstration domain. We close with a research agenda, a candid discussion of limitations and anticipated criticism, and an invitation to collaborate. The paper advances no claim of inevitability; it proposes a direction and argues that the direction is worth investigating.

Zenodo (CERN European Organization for Nuclear Research)
Electronic Concepts and Engineering (United States) (US)
Systems Engineering Methodologies and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.