System design and engineering trade‐off analytics: State of the published practice

Parnell, Gregory S.; Kenley, C. Robert; Whitcomb, Clifford A.; Palanikumar, Karthikeyan

doi:10.1002/sys.21571

Cited by 7 publications

(8 citation statements)

References 4 publications

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“…Similarly, the entire collection of Systems Engineering articles could be analyzed in this same regard. Because both symposium papers and Systems Engineering articles are indexed in the Web of Science, VOSviewer can be used to analyze terms that occur together across abstracts from multiple papers and articles in the same manner as has been previously done for system design and engineering trade-off analytics (Parnell, et al, 2021). Also, this process could be applied to the Web of Science citation data to perform bibliographic coupling analysis and co-citation analysis on symposium papers and Systems Engineering articles.…”

Section: Discussionmentioning

confidence: 99%

The INCOSE Systems Engineering Heuristics: What Are They Telling Us About the Discipline?

Thomas,

Fridlin,

Kenley

2023

INCOSE International Symp

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The INCOSE Fellows have been leading an effort to develop heuristics that will help systems engineers pass on their knowledge of the best practices within the discipline.We performed bibliometric analysis on the text corpus of 164 heuristics and of the sources cited in them to gain insights into what the heuristics data is telling us about the discipline of systems engineering.We performed co‐occurrence analysis using VOSviewer, which is a software application that identifies pairs of terms and connects them. This analysis found terms that occur together across multiple heuristics by applying a natural language processing algorithm that identified the terms and formed clusters of terms that are strongly related to each other. To gain further insight into the cooccurrence results, the INCOSE Fellows participated in a contest to name the clusters and create narratives that provide a rationale for the cluster names and why it makes sense for the terms to belong to the clusters they were assigned to. Finally, a ballot was created to send out to a broader collection of INCOSE members to vote on the best name for each cluster among the names provided by the Fellows. The three‐step process of bibliometric analysis, cluster naming by the Fellows, and voting by the members identified emergent disciplines essential to the practice of systems engineering.We also performed bibliographic coupling analysis and co‐citation analysis using VOSviewer. A bibliographic coupling link is a link between two heuristics that both cite the same source. A co‐citation link is a link between two sources that are both cited by the same heuristic. The coupling analysis identified clusters among the heuristics that revealed communities of practice within systems engineering, and the co‐citation analysis identified clusters among the cited references to reveal communities of theory in systems engineering.

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Section: Discussionmentioning

confidence: 99%

The INCOSE Systems Engineering Heuristics: What Are They Telling Us About the Discipline?

Thomas,

Fridlin,

Kenley

2023

INCOSE International Symp

Self Cite

View full text Add to dashboard Cite

show abstract

“…The process of making balanced decisions when there are multiple stakeholders with competing objectives is commonly referred to as a trade‐off study. Trade‐off studies are needed to support sound project management and systems design decisions 1 . A trade‐off study begins by determining the objective of the study, that is, what is the choice that must be made and what are the alternative options for achieving the objective.…”

Section: Methodsmentioning

confidence: 99%

“…This paper is a contribution to the gap in the literature for cases of trade-off studies in the domain of mechanical engineering. 1 This paper continues with some background of the deburring process and pipeline before presenting the SPADE methodology used in this paper. The remaining sections follows the SPADE methodology.…”

Section: D Model Final Partmentioning

confidence: 99%

“…Trade-off studies are needed to support sound project management and systems design decisions. 1 A trade-off study begins by determining the objective of the study, that is, what is the choice that must be made and what are the alternative options for achieving the objective. Then the criteria and their priorities are explicitly listed and formulated at the start to avoid introducing selection bias near the end of the process.…”

Section: The Development Teammentioning

confidence: 99%

“…To tackle the complexity while developing a robotized deburring system, a systemic approach based on cascading trade‐off studies is proposed in this paper. This paper is a contribution to the gap in the literature for cases of trade‐off studies in the domain of mechanical engineering 1 …”

Section: Introductionmentioning

confidence: 99%

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Cascading trade‐off studies for robotic deburring systems

Onstein

Haskins

Semeniuta

2022

Systems Engineering

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Advanced manufacturing technologies play an important role in keeping production in high‐cost countries. Due to their flexibility, robot‐based solutions have been one of the major enablers in establishing advanced manufacturing capabilities in the traditional high‐cost countries. This paper concerns the problem of automated deburring of cast parts. If performed manually, this operation introduces major health, safety, and environmental (HSE) concerns. As such, removal of highly variable casting burrs in the Norwegian context requires a solution based on robots, smart sensors, and advanced algorithms to tackle the problem in a flexible and cost‐effective way. Due to the complexity of the task, one is confronted with a breadth of various alternatives to choose from when realizing the desired functionality. These alternatives expand as one considers a pipeline of the subtasks involved in the process. The decisions made in each step cascade throughout the whole pipeline. To tackle the complexity while developing a robotized deburring system, a systemic approach based on cascading trade‐off studies is proposed in this paper. This paper is also a contribution to the gap in the literature for cases of trade‐off studies in the domain of mechanical engineering. The SPADE (stakeholders, problem formulation, analysis, decision making, and evaluation) methodology has been used as a framework to resolve automation of complex mechanical engineering manufacturing process decisions. The systems engineering (SE) approach proved useful to identify and prioritize the stakeholders and their needs, as well as analyzing the different alternatives in a complex engineering system when dealing with cascading trade studies.

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Mass customization and mass personalization meet at the crossroads of Industry 4.0: A case of augmented digital engineering

Barata

Cardoso

Cunha

2023

Systems Engineering

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After mass production and then mass customization, the time is almost ripe for mass personalization. The goal is to offer unique products designed for the needs of each customer. However, production in larger series of products also has its advantages, and the promise of “lot size one” is still far from being the norm in several sectors of the economy. As a result of an action research project in a small household ceramic producer, this paper explores the potential of a hybrid strategy. Augmented digital engineering is adopted to (1) ensure customer participation along the entire product design lifecycle, (2) maintain the benefits of modularization and low cost, (3) minimize the waste of time and materials during product design, and (4) seek a minimum trade‐off between customer desires and engineering strategy. For theory, our work describes Industry 4.0 technology's role in achieving individual customer interaction and value co‐creation in hybrid strategies of mass customization and mass personalization. For practice, we present an example of technological architecture to implement augmented digital engineering in Industry 4.0, accessible to scenarios of hand‐intensive work and creative design processes.

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System design and engineering trade‐off analytics: State of the published practice

Cited by 7 publications

References 4 publications

The INCOSE Systems Engineering Heuristics: What Are They Telling Us About the Discipline?

The INCOSE Systems Engineering Heuristics: What Are They Telling Us About the Discipline?

Cascading trade‐off studies for robotic deburring systems

Mass customization and mass personalization meet at the crossroads of Industry 4.0: A case of augmented digital engineering

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