{"title":"Enhancing Technology Readiness Assessment: The Engineering Severity Level Methodology and the Technical Readiness Level+ Classification","authors":"Susannah Jones","doi":"10.1109/OJSE.2024.3354777","DOIUrl":"https://doi.org/10.1109/OJSE.2024.3354777","url":null,"abstract":"In this article, the author proposes a novel methodology to overcome the outstanding challenges in accurately assessing technology readiness for final real-world applications. The engineering severity level is a conceptual methodology that provides a simple, standardized, and quantitative method for assessing technology suitability in relation to real-world environments. It is a standalone assessment concept that offers advantages in generating an evidence base for accurate technology readiness assessment and early identification of developmental roadblocks derived from real-world requirements. Moreover, the methodology can be applied as a universal basis to enhance the technical readiness level classification assessment criteria. The benefits are exemplified in assessing quantum technologies for position, navigation, and timing requirements in defense applications.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"2 ","pages":"50-61"},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10400902","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140540937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design Principles for Distributed Context Modeling of Autonomous Systems","authors":"Marvin Zager;Alexander Fay","doi":"10.1109/OJSE.2023.3342572","DOIUrl":"https://doi.org/10.1109/OJSE.2023.3342572","url":null,"abstract":"The use of unmanned aerial vehicles (UAV) has seen a rapid increase due to the advancements in drone technology and the wide range of applications. Their adaptability and versatility make them suitable for a great variety of tasks. To fully realize their potential, an autonomous operation is crucial. For modeling environmental perception (i.e., contextual information) as a key enabler of autonomous operations, guiding principles are needed to support system designers in modeling contextual information for autonomous systems. This article precisely addresses this concern and seeks to establish a set of design principles for the distributed context modeling of autonomous systems, such as autonomous UAVs. This is achieved through a systematic review of the literature and the identification of meta-requirements by leveraging a generic context classification model, which serves as the foundation for deriving the design principles. Subsequently, these design principles undergo evaluation within the context of autonomous UAVs through a use case analysis. The goal of this research is to provide a foundation for the development of autonomous systems that can effectively perceive, interpret, and distribute their context. The design principles can serve as a prescriptive guide for the future development of autonomous systems, ensuring efficient and effective operations.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"179-189"},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10356718","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139431022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bryan C. Watson;Isabella V. Hernandez;Marc J. Weissburg;Bert Bras
{"title":"Validation of Biologically Inspired Tactics to Increase Multi-Agent System Resilience","authors":"Bryan C. Watson;Isabella V. Hernandez;Marc J. Weissburg;Bert Bras","doi":"10.1109/OJSE.2023.3327747","DOIUrl":"10.1109/OJSE.2023.3327747","url":null,"abstract":"There is an urgent need to increase multi-agent systems’ resilience. Efforts, however, are hampered by three gaps: current approaches are case study specific, may depend on infrastructure investment, and are often unshared. In response to these needs, we propose 14 biologically inspired Tactics for individual agent design and communication protocols. The Tactics are generalizable and do not depend upon infrastructure investments. The Tactics are applied to a hybrid system dynamic and agent-based model of an electric motor manufacturing supply chain case study. The approach for applying each of the Tactics is clearly described to support future application. Tactic use successfully increased resilience by an average of 6.6%. By reporting a context-neutral solution approach to increase resilience, focusing on agent intervention, and clearly reporting the implementation to a supply chain case study, this article takes an important step toward our goal of using biologically inspired design to increase multi-agent system resilience.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"164-178"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10297412","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135211149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Raquel Hoffmann;Daniel Patrick Pereira;Hidekazu Nishimura
{"title":"Security Viewpoint and Resilient Performance in the Urban Air Mobility Operation","authors":"Raquel Hoffmann;Daniel Patrick Pereira;Hidekazu Nishimura","doi":"10.1109/OJSE.2023.3327524","DOIUrl":"10.1109/OJSE.2023.3327524","url":null,"abstract":"The rapid development of urban air mobility (UAM) technologies and their integration into the urban environment brings new security challenges. Threats to aviation and mobility systems continue to evolve. The urban space places additional vulnerabilities to which UAM stakeholders strive to enhance and develop UAM security capabilities. Ensuring the security of UAM operations requires a holistic and integrated approach that considers the complex interdependencies between various stakeholders and components of the UAM ecosystem. This article explores security viewpoints and resilient performance in UAM operations using enterprise architecture modeling methodology through the unified architecture framework (UAF). The ecosystem approach recognizes that UAM operations involve a multitude of actors, including UAM designers, operators, service providers, airspace managers, and regulators. Each actor has a unique role and perspective on security, and their actions and decisions can significantly impact the overall security and resilience of the UAM operation. The approach includes a security viewpoint integrating different actors to identify and assess security risks, strategies to mitigate them, and a discussion about resilient performance in the UAM ecosystem. The security viewpoint considers technical and nontechnical security aspects, including human factors, organizational culture, and cybersecurity frameworks. Moreover, a security state diagram for UAF is proposed, supporting the discussion of how different resilient scenarios can avoid undesirable security states. The results include views defining risk and capability taxonomies, security structure, security states, and ground security processes, showing how the UAM enterprise operates to achieve resilient performance.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"123-138"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10295998","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135158891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementing a Complete Digital Thread: The Need for Data Element Mapping and Analysis","authors":"Allison B. Ledford;Gregory Harris;Gregory Purdy","doi":"10.1109/OJSE.2023.3325189","DOIUrl":"10.1109/OJSE.2023.3325189","url":null,"abstract":"In the age of digitalization and the fourth industrial revolution, the concept of the digital thread has captured both the attention and resources of countless organizations. However, despite its growing popularity and a plethora of technologies being offered that promise to create the digital thread, this research revealed that no current techniques allow for the systematic uncovering of data and information flows in a way that reveals individual threads of data elements. Therefore, data element mapping and analysis (DEMA) is proposed as a tool capable of identifying all the data elements at the granularity necessary to connect digital threads. DEMA is a technology agnostic approach that allows an enterprise to move from a functional, document-centric view of data and information flows to a data element level view, with the data elements serving as the connectors of the digital thread.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"139-152"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10286971","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Military Energy Resilience Models and Climate: Do Our Models Adequately Consider Climate Risks?","authors":"Ronald E. Giachetti;Douglas L. Van Bossuyt","doi":"10.1109/OJSE.2023.3324699","DOIUrl":"10.1109/OJSE.2023.3324699","url":null,"abstract":"Military bases must be operationally available to complete their missions regardless of the operational and physical environmental conditions. A key component of maintaining operational availability is a secure and reliable source of energy, which is resilient in the face of a variety of possible threats both natural and man-made. Toward that goal, the U.S. Department of Defense has supported the development of analytical and simulation-based resilience models to support facility managers in assessing and improving the energy resilience of military bases. This article examines how well these models consider climate change into their analyses with a focus on near-term and medium-term climate changes. This article presents a framework describing what it entails for a model to consider climate risks. The evaluation found that the resilience models generally do not sufficiently assess risks due to climate change. This article proposes model characteristics of scenario-based risk assessment to handle the increased uncertainty of climate change and for models to consider second and higher order effects of climate change.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"153-163"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10286109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136372161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ontology for Technical Debt in Systems Engineering","authors":"Howard Kleinwaks;Ann Batchelor;Thomas H. Bradley","doi":"10.1109/OJSE.2023.3316395","DOIUrl":"https://doi.org/10.1109/OJSE.2023.3316395","url":null,"abstract":"The technical debt metaphor is used to describe the long-term consequences of engineering decisions made to achieve a short-term benefit. The metaphor originated in the field of software engineering and has begun to migrate to other fields, including systems engineering. The usage of the metaphor, its associated terminology, and basic definitions vary both within the software field and within the greater engineering community. The lack of consistent definitions inhibits the ability of system developers to understand and control technical debt within their system developments. This article presents an ontology for technical debt, focusing on the field of systems engineering. By providing a set of concise and consolidated definitions, this ontology enables precise discussion of technical debt and associated techniques for mitigating its impact within systems engineering.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"111-122"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9745883/10043029/10254240.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67871606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"BSafeML: A Model-Based Hazard Management Technique for Safety-Critical Systems Development","authors":"Michael Cutajar;Siyuan Ji","doi":"10.1109/OJSE.2023.3295946","DOIUrl":"https://doi.org/10.1109/OJSE.2023.3295946","url":null,"abstract":"Effective management of hazards is at the heart of achieving acceptable safety for any safety-critical system. With the recent advancement in model-based systems engineering, various hazard management techniques have been proposed as a means to transition from a document-based paradigm, such as hazard logs implemented in a relational database to a model-based paradigm with standardized modeling languages. However, a review of the state-of-the-art has shown that the existing methods do not provide sufficient traceability to integrate hazard management with other system lifecycle activities. To address this gap, a new model-based hazard management technique, BSafeML, is developed. BSafeML is a unified modeling language profile, and a procedure extending the existing systems modeling language and SafeML profiles with language for modeling the behavior of hazards and mitigations. BSafeML integrates the structural and behavioral views of hazards, supporting traceability and semantic consistency over them and with the wider system-of-interest. Specific behaviors supported by BSafeML include accident sequences and ordered action of safety functions. BSafeML is evaluated in a case study of a waste package emplacement system in the context of geological disposal of radioactive waste. A hazard log, including a range of hazard types, is converted to model-based format with BSafeML. The evaluation is further supported by a stakeholder survey that revealed mostly positive attitudes toward the safety function modeling by BSafeML.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"81-93"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9745883/10043029/10184455.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67871604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Relationship Between Goal-Function Trees and Value Models","authors":"Casey E. Eaton;Bryan Mesmer","doi":"10.1109/OJSE.2023.3265900","DOIUrl":"https://doi.org/10.1109/OJSE.2023.3265900","url":null,"abstract":"Systems often inspire the development of new models to manage size and complexity challenges in system development. Engineers should be aware of overlap in the models used for systems engineering of systems as it would be inefficient to reiterate overlapping tasks. The objective of this article is to identify consistencies between two models that appear to have overlapping tasks: Goal-Function Trees (GFTs) and value models. Both models are perceived to represent information about the system and stakeholder preferences, but have historically used differing processes and language. An analysis of the functional use and terminology for the two models reveals consistencies. The two models are compared in this article using content analysis of systems engineering academic literature. It is seen that physics-based system representation and stakeholder preference incorporation are often common to both models. A coffee maker is used to illustrate the potential consistencies and overlapping tasks between the models. Extending this simple example, the applicability of the models to space systems is discussed. The findings of this article can be used by systems engineers to improve their efficiency when applying both GFTs and value models.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"94-110"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9745883/10043029/10098162.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67871605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rodrigo Caporali De Andrade;Paul T. Grogan;Somayeh Moazeni
{"title":"Simulation Assessment of Data-Driven Channel Allocation and Contact Routing in Customer Support Systems","authors":"Rodrigo Caporali De Andrade;Paul T. Grogan;Somayeh Moazeni","doi":"10.1109/OJSE.2023.3265435","DOIUrl":"https://doi.org/10.1109/OJSE.2023.3265435","url":null,"abstract":"Data-driven operations management methods can transform company operations, respond rapidly to customer demands, and enable new business models. However, companies face the challenge of measuring and evaluating how new technology will impact operational processes. This article takes a systems engineering approach to assess the tradeoffs of adopting data-driven mechanisms to improve operational processes in a multichannel customer support system. In this article, we investigate potential cost savings from two technology applications: classification methods to direct customers to efficient self-service communication channels and routing methods to match customers with agents based on the query type and available skill set. Discrete event simulation evaluates how new technology adoption affects system-level performance. What-if scenarios combine distinct configurations of customer classification mechanisms and available communication channels to evaluate the reduction in the total number of agents required to meet a target service quality level. Discussion includes practical examples of how operational managers could use experimental information to make strategic operational decisions when adopting data-driven technologies.","PeriodicalId":100632,"journal":{"name":"IEEE Open Journal of Systems Engineering","volume":"1 ","pages":"50-59"},"PeriodicalIF":0.0,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9745883/10043029/10097552.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67871601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}