{"title":"A Model-Based Systems Engineering Approach for Trucking Fleet Replacement","authors":"Sean Bumgarner, Sarah Rudder, Jeremy S. Daily","doi":"10.1002/iis2.13198","DOIUrl":"https://doi.org/10.1002/iis2.13198","url":null,"abstract":"<p>Heavy vehicles operating for less than truckload (LTL) carriers are utilized to the maximum extent possible for the operator to maximize vehicle return on investment. However, the decision to purchase new vehicles, reallocate the vehicle, or retire the vehicle is based on complex and interacting factors like performance degradation, total cost of ownership, new regulatory pressures, and maintenance costs. The problem of optimizing fleet capacity is well suited to a model-based systems engineering approach. Using SysML as the language and MagicGrid as the method, a model for fleet vehicle replacement and utilization was built to understand the best way to maximize and grow shipping capacity. The process started with identifying stakeholders and their needs and ended with system parametric models capable of computing costs. This model has the potential to optimize operating costs for fleets and maximize the use of the vehicle assets. Not only do these optimizations improve company financial performance, they reduce the need to unnecessarily replace expensive equipment, which is a more sustainable business practice.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"1104-1118"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SYSTEM REVISITED – AGAIN","authors":"Anthony J Quayle","doi":"10.1002/iis2.13172","DOIUrl":"https://doi.org/10.1002/iis2.13172","url":null,"abstract":"<p>This paper reviews the revised foundational definitions of system and systems engineering in the recently published (2023) fifth edition of the INCOSE Systems Engineering Handbook. The new INCOSE definitions derive from an earlier INCOSE Fellows' Initiative on System and Systems Engineering Definitions that began in 2016 and finally reported in 2019. After introducing the concept of system and reviewing the new definition, the paper concludes that the concept, not rooted in a single science or exemplar domain, is so pervasive as be a meta-concept that does not have a dominant scientific definition. It proposes further work towards a more scientific definition of an engineered or artificial system – the primary interest of INCOSE – at a lower level of abstraction.</p><p>While the authors define systems engineering functionally as a process or approach, we see the essence of systems engineering as abstraction. Using the more accepted metaphysical distinction between the real, virtual, and abstract, we define the output of systems engineering as an abstract (simplified symbolic) representation or model that is the basis for defining the real; firstly, the virtual representation of something not (yet) existing physically but made to appear so and, finally, the physical. Thus, we position systems engineering as the abstract phase within a three-phase abstract-virtual-physical engineering design and realization process.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"716-724"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of a Technical Peer Review Process: Principles, Policy, and Cultural Change","authors":"Francisco Alvarez, Leslie Britt, Jon Trujillo","doi":"10.1002/iis2.13266","DOIUrl":"https://doi.org/10.1002/iis2.13266","url":null,"abstract":"<p>The complex scientific and engineering work performed at Sandia National Laboratories is supported by a comprehensive system of reviews that include design, gate, and peer reviews. A recent exercise revealed a need to change how technical peer reviews are conducted. Building on industry standards, best practices, current standard internal practices and other previous work, Sandia has developed a continuous improvement process to institutionalize technical peer review in the design lifecycle of products. The approach focuses on translating customer and leadership expectations, utilizing current established practices, simplifying planning and execution, and providing resources to project teams to guide them and ensure that rigorous and consistent technical peer reviews are performed. This paper presents the process used by Sandia to improve the technical peer review process, the factors that affect implementation of a peer review process, the simplified three-step process implemented, the tools and resources generated, and the sustainment plan adopted to increase the institution-wide use of peer review as a tool to improve product delivery.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"2225-2235"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Nature of Technical Debt in the Development of Descriptive Models for MBSE","authors":"Ryan A. Noguchi","doi":"10.1002/iis2.13160","DOIUrl":"https://doi.org/10.1002/iis2.13160","url":null,"abstract":"<p>Model-Based Systems Engineering (MBSE) is the growing practice of systems engineering (SE) in which descriptive models replace documents as the embodiment of SE knowledge. These descriptive models capture SE information in place of documents, are developed in a similar manner to software source code, and are encoded and used in machine-to-machine applications as data. This paper describes how the Technical Debt concept widely used in the software domain—rework deferred to the future for expediency—needs to be modified for the domain of descriptive models. Technical Debt is often associated with agile development practices of software or descriptive models, which emphasize the rapid creation and iterative evolution of a Minimum Viable Product (MVP). Consciously applying appropriate modeling principles and practices is essential to make informed decisions during the modeling process to prevent the accumulation of excessive model Technical Debt—particularly during this iterative evolutionary process—which can require substantial rework to correct. The paper establishes a foundation for characterizing the Technical Debt implications of key model architecture and implementation decisions that are made explicitly or implicitly by modelers when developing descriptive models. To illustrate the model Technical Debt concept, several examples of modeling principles pertaining to model purpose and implementation are described along with their implications on model Technical Debt.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"516-526"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lifecycle of Accident Pathogens: Common Systemic Factors in Construction System Accidents","authors":"Takaharu Igarashi, Karen Marais","doi":"10.1002/iis2.13219","DOIUrl":"https://doi.org/10.1002/iis2.13219","url":null,"abstract":"<p>Construction system accidents are accidents due to defects embedded in the constructed systems (e.g., buildings, bridges, and other infrastructures) originating from failures in construction systems, which we can consider as organic and ephemeral temporary multi-organizations (TMOs). Understanding the mechanisms of such accidents in transient and multi-organizational systems requires a system-wide perspective and consideration of the temporary aspect. This paper examines six accident cases using the framed-and-layered accident pathogen propagation (FLAPP) model—-an accident model we specifically developed to capture system-wide factors and the time dimension—-and identifies five types of pathogen threads and eight types of thread elements that contribute to the propagation of latent failures and defects, i.e., accident pathogens. With concrete reference to the processes and products found in accident cases, the concept of pathogen thread provides an explicit structure to the classic metaphor of pathogens that the safety literature has been using to describe latent failures. This paper further proposes the concepts of pathogen susceptibility and transmissibility to explain the mechanisms and dynamics that drive the generation and propagation of accident pathogens. Acknowledging the limitations of the modeling framework, this paper concludes with a discussion of lessons for systems engineering practices and directions for future work to ensure system safety in the construction of systems in various domains.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"1463-1481"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adriana D'Souza, Louis S. Wheatcraft, Tami Katz, A. Larry Gurule, Michael J. Ryan, Aleksander Przybylo
{"title":"Traceability – A vision for now and tomorrow","authors":"Adriana D'Souza, Louis S. Wheatcraft, Tami Katz, A. Larry Gurule, Michael J. Ryan, Aleksander Przybylo","doi":"10.1002/iis2.13194","DOIUrl":"https://doi.org/10.1002/iis2.13194","url":null,"abstract":"<p>Traceability has been addressed in the past from the perspective of relationships between the digital artifacts within the data and the information model of the system of interest (SoI) being developed. This paper enhances this view from a project management (PM), systems engineering (SE), and a configuration management (CM) perspective. The paper discusses what traceability is today and how it can help PM and SE practitioners meet future needs to realize the INCOSE Vision 2035 and satisfy all needs and requirements baselined for a SoI, including compliance with standards and regulations. Provenance and pedigree are two aspects discussed of how traceability enhances the management of digital artifacts from a CM point of view. This paper provides a vision of how traceability can aid PM and SE practitioners to develop quality products that deliver what is needed, within cost and schedule, with the needed quality.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"1036-1050"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
William J. Barnum, William Fisher, Mark W. Winstead, Stephen J. Walsh
{"title":"A Classical Modernization of the V-Model","authors":"William J. Barnum, William Fisher, Mark W. Winstead, Stephen J. Walsh","doi":"10.1002/iis2.13177","DOIUrl":"https://doi.org/10.1002/iis2.13177","url":null,"abstract":"<p>This paper provides new iconography for the Systems Engineering “V-Model” or “Vee-Model.” The “Arch Model” resets and refreshes the original iterative intent of the “V-Model” in a modern context integrated with digital engineering (DE). We will highlight common misperceptions that reduced the efficacy of the “V-Model” and explore how a “classical Roman engineering” metaphor can inspire a modern view of systems development based on historically successful, foundational engineering.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"781-792"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jillian Cyr, Tara Sarathi, Jim Balcius, Michael Shatz
{"title":"Tactical Network Bandwidth Analysis: Application of the Wearables Model-Based Systems Engineering - System Architecture (MBSE-SA)","authors":"Jillian Cyr, Tara Sarathi, Jim Balcius, Michael Shatz","doi":"10.1002/iis2.13166","DOIUrl":"https://doi.org/10.1002/iis2.13166","url":null,"abstract":"<p>Warfighters are often exposed to harsh environmental conditions, and experience high rates of physical and cognitive stress, fatigue, and infections, resulting in the degradation of their health and physical performance. This degradation can have a profound effect on the readiness of military forces. Wearable sensor systems can be used to monitor warfighter physiological and cognitive data, providing insight into their health status during routine military training and deployed operations; however, to enable a real-time, tactical health and performance monitoring capability, wearable sensor systems must integrate into existing tactical military information networks without compromising network function. We extended our existing Wearables Model-Based System Engineering – System Architecture (MBSE-SA) to include a bandwidth simulation to analyze the effects wearable sensor systems have on overall network function specifically for military use cases. Our Wearables MBSE-SA enabled us to model many notional and existing architectures, which represent the wide range of wearable sensor devices, communication protocols, end user devices, and tactical network nodes typically present in operational environments. By taking advantage of the existing Wearables MBSE-SA framework and architectures, the resulting bandwidth simulation rapidly assessed several existing military network architectures for wearable sensor system integration and identified where network changes were required. Validating the flexibility of the Wearables MBSE-SA to incorporate new analyses was critical for the military's ability to explore wearable sensor system trades and evaluate architectures in the quickly changing wearable systems technology domain.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"614-630"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrew C Pickard, Richard Beasley, Dean Beale, Dorothy McKinney, Rudolph Oosthuizen, Dave Stewart, Kenneth Cureton, Chandru Mirchandani
{"title":"Case Studies for Complexity Pattern Identification","authors":"Andrew C Pickard, Richard Beasley, Dean Beale, Dorothy McKinney, Rudolph Oosthuizen, Dave Stewart, Kenneth Cureton, Chandru Mirchandani","doi":"10.1002/iis2.13162","DOIUrl":"https://doi.org/10.1002/iis2.13162","url":null,"abstract":"<p>The INCOSE Complex Systems Working Group Heuristics Team has selected 67 Principles and Heuristics that are considered to be particularly relevant to Complex Systems. These have been incorporated into a Difficulty Assessment Tool that prioritizes the list of Principles and Heuristics based on scoring of a matrix of four Difficulty Elements and six System Elements (to characterize the nature of the complexity).</p><p>The purpose of this paper is to describe an <b>initial</b> assessment of the effectiveness and usefulness of the Difficulty Assessment Tool. The Tool has been used to assess eight Case Studies by five assessment teams — one with three people working together, one with two people and the remaining three with individual assessments.</p><p>The results of these assessments have been compared using four different correlation methods, using the total weighted Heuristic score, the maximum weighted Heuristic score, a Match / Mismatch analysis of the top fifteen and bottom seven Heuristics, and a difference ranking between pairs of assessors of all 67 Principles and Heuristics. The last two assessment methods are shown to be more insightful.</p><p>The assessment teams then reviewed the relevance of the highest and lowest-ranked Principles and Heuristics to the full Case Study definitions (Problem and Outcome). There is good agreement of relevance for the highest-ranking Principles and Heuristics, less so for the lowest-ranking ones. Based on this initial assessment, the DAT shows promise to help people develop complex systems.</p><p>The paper concludes with recommendations for further assessment of the Difficulty Assessment Tool.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"544-569"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dr. Awele Anyanhun CSEP, Dr. Craig Arndt ESEP, Dr. Jeremy Werner
{"title":"Model-Based Decision Support using Test and Evaluation: A Lightweight Architecture Approach","authors":"Dr. Awele Anyanhun CSEP, Dr. Craig Arndt ESEP, Dr. Jeremy Werner","doi":"10.1002/iis2.13152","DOIUrl":"https://doi.org/10.1002/iis2.13152","url":null,"abstract":"<p>A standardized decision support tool to support test prioritization and decision-making is a prerequisite to achieving on-time delivery of weapon systems that are adequately tested and vetted by decision makers within distributed organizations such as the defense industrial base. However, to achieve standardization, the core principles of systems thinking and systems engineering must be utilized in order to realize a holistic and evolvable process and product that integrates Test & Evaluation (T&E) data and information with decision-making in a consistent format to support program offices. To address this need, a model-based reference architecture for the standardization of the Integrated Decision Support Key (IDSK) data and decision formats is presented in this paper. The IDSK is a DoD-mandated decision support tool (artifact) for capturing a program's decisions and the T&E information necessary to support the decisions. The digital-IDSK reference architecture proposed is developed using a model-based systems engineering approach and facilitates the generation of standardized data and decision formats that are tailorable, adaptable to incremental future changes, and easy to integrate with other digital engineering artifacts all within a digital engineering ecosystem. In addition, this approach is also applicable not only to defense-based organizations, but also finds utility within organizations pivoting to a digital engineering strategy for informing product T&E decision-making.</p>","PeriodicalId":100663,"journal":{"name":"INCOSE International Symposium","volume":"34 1","pages":"367-386"},"PeriodicalIF":0.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}