Utilizing a Transdisciplinary (TD) Systems Engineering (SE) Process Model in the Concept Stage: A Case Study to Effectively Understand the Baseline Maturity for a TD SE Learning Program

Author:

Ford LynnDee1,Ertas Atila2

Affiliation:

1. Raytheon Technologies, McKinney, TX 75071, USA

2. Department of Mechanical Engineering, Texas Tech University, Lubbock, TX 79409, USA

Abstract

Systems engineering (SE) solves the most complex problems, bringing together societal issues, theoretical engineering, and the transformation of theory into products and services to better humanity and reduce suffering. In industry, the effort to transform theoretical concepts into practical solutions begins with the product life cycle concept stage, where systems engineering estimates and derives technologies, costs, and schedules. It is crucial to have a successful concept stage as today’s industries focus on producing the most capable technologies at an affordable cost and faster time to market than ever before. The research of this paper utilizes a transdisciplinary SE process model in the concept stage to develop and propose training for early-in-career engineers, effectively bridging the gap from university learning to industry practice. With a focus on the concept stage of the product life cycle and the industry’s demands of expeditiously proposing complex technical solutions, the paper aims to create an efficient learning program. The main objective of this research is to create a learning program to bring up-to-speed early-in-career engineers using a transdisciplinary SE process model, with six key components: (1) disciplinary convergence—creating a collective impact; (2) TD collaboration; (3) collective intelligence; (4) TD research integration; (5) TD engineering tools; and (6) analysis and TD assessment. The research will then conclude with a case study piloting the TD learning program and analyzing its effectiveness, ultimately aiming to enhance early-in-career engineers’ skills in proposing technical solutions that meet customer demands and drive business profitability.

Funder

Raytheon Technologies

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software

Reference33 articles.

1. Madni, M.A. (2018). Transdisciplinary Systems Engineering, Springer.

2. INCOSE (2023). INCOSE Systems Engineering Handbook: A Guide for System Life Cycle Processes and Activities, Wiley. [5th ed.].

3. De Luce, D., and Dilanian, K. (2022, September 01). Can the U.S. and NATO Provide Ukraine with Enough Weapons? What is Kanban?, NBC News, Available online: https://www.nbcnews.com/politics/national-security/can-us-nato-provide-ukraine-enough-weapons-rcna22066digit’e.

4. Flores, M. (2022, September 01). Set-Based Concurrent Engineering (SBCE): Why Should You Be Interested? Lean Analytics Association. Available online: http://lean-analytics.org/set-based-concurrent-engineering-sbce-why-should-you-be-intereste.

5. Schwaber, K. (2004). Agile Project Management with Scrum, Microsoft Press. [1st ed.].

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