{"title":"An integrated supply chain model with fuzzy demand and its algorithm","authors":"Yu Ying, Zhang Wei","doi":"10.1109/SYSTEMS.2008.4519039","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519039","url":null,"abstract":"An integrated supply chain model with fuzzy demand is built in this paper. The model is converted into a bilevel programming, in which the upper level programming is an uncertain programming with fuzzy demand, and the lower level programming is a certain programming with the specified parameters passed from the upper level. A genetic algorithm combined with fuzzy simulation technology is proposed to find the optimal decisions in the upper level programming. In the lower level, under the given decision from the upper level, a simulated annealing algorithm is provided to obtain the optimal values which are then sent back to the upper level. Through the evolutionary processes such as crossover and mutation operations, the optimal solutions to achieve the minimum system cost can be found. Lastly numerical examples are given to show the validity of the algorithm.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127003725","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":"Next Generation Operating Systems: A Biologically Inspired Future","authors":"N. Ackovska, S. Bozinovski","doi":"10.1109/SYSTEMS.2008.4519002","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519002","url":null,"abstract":"This paper takes a biologically inspired approach towards the operating systems. It views the DNA through a \"system software microscope\". It discusses related issues, examples being file system, program preparation, and it's parallel and distributed features, including inter-process communication. Our work explores the analogy between the computer operating systems and the molecular biology control systems, concerning the issues of improving the computer operating systems and its parallel and distributed capabilities.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125394165","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":"Applying Object Oriented Systems Engineering to Complex Systems","authors":"R. Cloutier, R. Griego","doi":"10.1109/SYSTEMS.2008.4519058","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519058","url":null,"abstract":"Analyzing systems using functional analysis has been the mainstream for systems engineering for five decades. With the advent of object oriented software methods and the object management group's (OMG) Unified Modeling LanguageTM (UML), a number of systems engineers working on software intensive systems began to apply use cases and object oriented analysis and design (OOAD) methods to large scale, complex systems. While the use of these OO methods is still controversial within the systems engineering community, many systems engineers that apply OO methods effectively have used functional analysis and understand the strengths of both methods. FireSAT is a well known fictitious system of systems space mission to provide a space based approach to wildfire detection, monitor and control. This paper will explore the use of OOAD methods to FireSAT for problem definition, concept development, and system architecture development. Using the OMG's recently adopted System Modeling LanguageTM (SysML) and more traditional Systems engineering modeling techniques, this paper will compare and contrast some of the differences between OO and functional methods, showing diagrams from each approach.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117280370","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 of Systems Issues for the 2008 U. S. National Healthcare Information Network Remote Patient Monitoring Requirements","authors":"E. Sloane, V. Gehlot, T. Way, R. Beck","doi":"10.1109/SYSTEMS.2008.4519018","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519018","url":null,"abstract":"This paper describes a number of new system of systems engineering (SoSE) issues that must be addressed in order to design and deploy a safe, secure, and private informatics infrastructure for remote patient monitoring systems that are interoperable with the emerging U.S. National Healthcare Information Network (NHIN). Motivations for NHIN's ambitious remote patient monitoring goals - such as reducing the cost of care and improving medical care quality for chronically ill patients - are introduced, and the technological requirements and challenges that arise are described. This paper demonstrates the use of SoSE modeling, simulation, verification and validation techniques similar to the emerging draft of INCOSE's SoSE Engineering Guide to improve the success of such projects. The tools used include event driven modeling and software simulation tools to assist in the design and evaluation of predictive software models that simulate key safety and performance aspects of proposed remote patient monitoring systems.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122599653","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":"AGSOA - Agile Governance for Service Oriented Architecture (SOA) Systems: A Methodology to Deliver 21st Century Military Net-Centric Systems of Systems","authors":"E. Sloane, R. Beck, S. Metzger","doi":"10.1109/SYSTEMS.2008.4518995","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4518995","url":null,"abstract":"This paper describes AGSOA, an agile governance for service oriented architectures (SOAs) that is intended to address many of the inherent challenges faced by implementing the DoD's 21s' Century agile net-centric warfare systems using SOAs. The complex interdependencies within SOA-based systems, when combined with DoD's desired agile change capabilities, creates a very complex and open-ended system of systems environment that cannot simply modeled, simulated, verified and/or validated. The AGSOA framework is designed to blend elements of proven agile- style project management methodologies with contemporary SOA governance strategies used in other, less complex industries to yield a more appropriate governance strategy for life- and mission-critical DoD SOA projects.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129556124","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":"Systems Thinking as an Emergent Team Property: Ongoing research into the enablers and barriers to team-level systems thinking","authors":"C. Lamb, D. Rhodes","doi":"10.1109/SYSTEMS.2008.4519016","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519016","url":null,"abstract":"This paper describes ongoing research exploring systems thinking at the team level. Termed collaborative systems thinking by the authors, the concept of higher level systems thinking is envisioned as a means both to build workforce competency and to explicitly deal with system complexity at a higher level within an organization. This paper introduces the key research questions, an initial definition of collaborative systems thinking, demographic and technical motivators, and summarizes the research progress to date and plan for completion. The results of this research will inform the design of technical processes and provide empirical knowledge to support workforce development interventions aimed at developing systems thinking within engineering teams. The role of organizational culture is also considered as a factor in enabling collaborative systems thinking.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132746398","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":"Impacts of Increasing Reliance on Automation in Air Traffic Control Systems","authors":"K. Zemrowski","doi":"10.1109/SYSTEMS.2008.4518987","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4518987","url":null,"abstract":"The next generation air transportation system (NextGen) will rely increasingly on automated tools in order to aid air traffic controllers in managing the increased volume of flights expected by 2025. Previous approaches for handling greater traffic are no longer scalable to handle the expected volumes. Roles and responsibilities will need to change for pilots and controllers. New automation tools will need to be invented. Rather than addressing the technology of the system of systems to transform the National Airspace System, this paper concentrates on system engineering specialties that will need to be employed in order to adequately address the safety impacts of radically increasing the reliance on automation. From a human factors perspective, the controller's job will change, requiring not only attention to computer-human interaction but also how attention spans are affected, ability to recover from automation errors or outages, the ability to be aware that an error or outage has occurred, changed working relationships with other members of the air traffic control and traffic management team, and situational awareness. Would the changes affect the safety culture? Existing trajectory projection algorithms may need to be improved, requiring analysis of new algorithms, modeling, and validation of the algorithms. Software implementing the algorithms will need to be rigorously verified. Depending on the level of traffic and complexity of algorithms, it may be necessary to use multi-core processors, thus requiring multithreaded algorithms. Safety risk management will need to consider the impacts of the automation on the humans, in addition to the usual identification of hazards in the end-to-end system. Mitigation needs to be identified early in order to be reflected in requirements documents. The paper examines the systems engineering processes that will need to be engaged across this system of systems in order to achieve the desired capacity increased while maintaining the necessary levels of safe operation.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132241153","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":"Venture Capital and IT Acquisition: Managing Uncertainty","authors":"R. Stevens, Margaret K. King, Marc R. Halley","doi":"10.1109/SYSTEMS.2008.4519052","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519052","url":null,"abstract":"Engineering and acquisition of information technology (IT) systems frequently involve high levels of uncertainty in requirements, design and enabling technologies. Addressing these uncertainties requires an adaptive strategy. The Venture Capital industry has developed a series of techniques to deal with rapidly changing technologies and highly uncertain markets. This paper explores the applicability of Venture Capital derived strategies and practices to the acquisition of IT systems under varying conditions of uncertainty.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115948957","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}
Young-Hoon Lee, Byoung-Gil Lee, Jae-Chon Lee, Yong-Kyu Kim
{"title":"Preparing Test and Evaluation Master Plan (TEMP) for the Korean CBTC System Development Project","authors":"Young-Hoon Lee, Byoung-Gil Lee, Jae-Chon Lee, Yong-Kyu Kim","doi":"10.1109/SYSTEMS.2008.4519043","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519043","url":null,"abstract":"A railroad signaling system is being developed in Korea, adopting the communication-based train control (CBTC) technology to control the train operation through radio communication. The project is intended to develop the interoperable and interchangeable subsystems as a trial, and will upgrade the existing system by replacing some of subsystems with new ones to be developed. The development activities have been concentrating on the subsystems development without performing sufficient design activities at the system level. This project shall require the integration and test at the system level. To do so, a top-level system specification is needed, which is not available in the current phase of the project. The purpose of this work is to study the problem when design specifications of the subsystems are given instead. A successful test of the integrated system consisting of developed subsystems requires a test and evaluation master plan (TEMP). The TEMP is usually generated during the concept design stage of the system development and addresses test and evaluation activities on a fully integrated basis to see whether the developed system meets the system specification. In this work, we describe how a TEMP can be generated based on the subsystems design specifications instead of the system specification, hi doing so, we have also utilized the system architecture as well as the system operation concept of the existing system.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116446961","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}
Lukas Pustina, Simon Schwarzer, Peter Martini, Jari Muurinen, Ari Salomaki
{"title":"A Methodology for Performance Predictions of Future ARM Systems Modelled in UML","authors":"Lukas Pustina, Simon Schwarzer, Peter Martini, Jari Muurinen, Ari Salomaki","doi":"10.1109/SYSTEMS.2008.4519007","DOIUrl":"https://doi.org/10.1109/SYSTEMS.2008.4519007","url":null,"abstract":"The increasing complexity and short product cycles drive developers of mobile systems to analyse the performance of systems before hardware prototypes are available. Therefore, it is necessary to predict application runtimes with the help of simulations of system models. Miscellaneous components and factors of mobile devices affect the performance, e.g. caches, buses etc. In order to predict the performance of new system designs already during early stages of development, models of the timing behaviour are necessary. We have developed a modular timing simulator for models of typical mobile systems which can be used to predict the runtime of applications on future systems. Since UML is the de-facto standard for software modelling and widely used, we use UML to specify the hardware of the system. In this way, the gap between hardware and software modelling may be closed and performance analysis of application and system design are tight closer. The UML system model consists of an architecture model and an instruction behaviour description. The architecture model describes the components of the system and the connections between them and the behavioural model specifies the timing of the processor instructions. These models are used to simulate different configurations of an ARM9 system. Traces from one configuration are used to predict the performance of another configuration. Predictions for an ARM 11 system with parallel pipeline units are made.","PeriodicalId":403208,"journal":{"name":"2008 2nd Annual IEEE Systems Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114496445","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}