Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549871
Kyarash Shahriari, A. Hessami
A collaborative framework is proposed in this paper to increase the global productivity and product quality/conformity to improve the business competitiveness of the wood supply chain in North-Shore region of Quebec. The supply chain consists of a number of wood industries performing the first, the second, and the third transformations from wood harvesting to lumber production, paper making, and panel board manufacturing. The proposed solution is a four level hierarchal framework including business and marketing, scheduling and planning, quality control and supervision, and finally process levels. Competence as an encompassing factor for human aspect to implement and operate the proposed collaborative framework is also discussed and scrutinized while technical and technological aspects remain to be discussed for future works.
{"title":"Elaborating a conceptual collaborative framework: A case study for wood supply chain in North-Shore region in Quebec, Canada","authors":"Kyarash Shahriari, A. Hessami","doi":"10.1109/SysCon.2013.6549871","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549871","url":null,"abstract":"A collaborative framework is proposed in this paper to increase the global productivity and product quality/conformity to improve the business competitiveness of the wood supply chain in North-Shore region of Quebec. The supply chain consists of a number of wood industries performing the first, the second, and the third transformations from wood harvesting to lumber production, paper making, and panel board manufacturing. The proposed solution is a four level hierarchal framework including business and marketing, scheduling and planning, quality control and supervision, and finally process levels. Competence as an encompassing factor for human aspect to implement and operate the proposed collaborative framework is also discussed and scrutinized while technical and technological aspects remain to be discussed for future works.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116145994","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549858
Ravi S. Behara, F. Fatteh, Parvathalakshmi Rajadesingh, P. Jain, Ankur Agarwal
Hospital readmission is an important quality of care indicator. It reflects challenges in quality of in-patient care and the difficulty of coordination of care after the transition back into the community. It is also a significant financial burden, especially as it relates to Medicare and Medicaid costs now and into the future. Chronic Obstructive Pulmonary Disease (COPD) is one of the leading causes of disability and mortality worldwide, and is expected to become the third cause of death and fifth cause of disability adjusted life years in 2020. So it is a quality, cost and demographic imperative to design and develop prognostic clinical support systems to better manage patients with this condition so as to simultaneously improve the quality of care while controlling costs through avoiding preventable hospital readmissions for patients with COPD.
{"title":"A prognostic COPD clinical support system","authors":"Ravi S. Behara, F. Fatteh, Parvathalakshmi Rajadesingh, P. Jain, Ankur Agarwal","doi":"10.1109/SysCon.2013.6549858","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549858","url":null,"abstract":"Hospital readmission is an important quality of care indicator. It reflects challenges in quality of in-patient care and the difficulty of coordination of care after the transition back into the community. It is also a significant financial burden, especially as it relates to Medicare and Medicaid costs now and into the future. Chronic Obstructive Pulmonary Disease (COPD) is one of the leading causes of disability and mortality worldwide, and is expected to become the third cause of death and fifth cause of disability adjusted life years in 2020. So it is a quality, cost and demographic imperative to design and develop prognostic clinical support systems to better manage patients with this condition so as to simultaneously improve the quality of care while controlling costs through avoiding preventable hospital readmissions for patients with COPD.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116231318","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549918
T. Maier, F. Elezi, U. Lindemann
This paper explores Management Cybernetics as a system-oriented approach for its applicability in management systems. In particular, the Viable System Model (VSM) is identified as a rich provider of guidelines for improving efficacy and efficiency in management systems. Therefore, a methodology for the application of the VSM into any kind of system is illustrated, combining the VSM with empirical research methods. Here, interview and questionnaire techniques are used to analyze the as-is situation, identify potentials and derive measures for achieving improvements in management systems. The paper concludes that the VSM is a powerful tool for improving management systems in general, and the approach proposed in this paper can support managers in identifying and analyzing the relevant management sub-systems in their organizations.
{"title":"A snapshot approach for applying the Viable System Model in management systems","authors":"T. Maier, F. Elezi, U. Lindemann","doi":"10.1109/SysCon.2013.6549918","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549918","url":null,"abstract":"This paper explores Management Cybernetics as a system-oriented approach for its applicability in management systems. In particular, the Viable System Model (VSM) is identified as a rich provider of guidelines for improving efficacy and efficiency in management systems. Therefore, a methodology for the application of the VSM into any kind of system is illustrated, combining the VSM with empirical research methods. Here, interview and questionnaire techniques are used to analyze the as-is situation, identify potentials and derive measures for achieving improvements in management systems. The paper concludes that the VSM is a powerful tool for improving management systems in general, and the approach proposed in this paper can support managers in identifying and analyzing the relevant management sub-systems in their organizations.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125718691","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549978
J. A. McDougall, L. D. Otero, Juan C. Avendano, A. Ejnioui
This paper investigates what traditional operations research methods might best be used to analysis a state trauma system composed of a finite number of trauma centers. Optimization techniques in the operation research community have been categorized or binned into a handful of generalized groupings. While not all of these are a good fit for emergency systems, some might provide clues or techniques useful in the development of decision-making tools or evaluative systems for larger more complex trauma systems. This paper investigates the history, theory, select variants of the vehicle routing systems. This effort provide a suitable background to determine if optimization techniques used by operations researchers in routing analysis can be applied to or manipulated to help improve performance of trauma care in case of a significant disaster.
{"title":"System analysis methods in emergency systems","authors":"J. A. McDougall, L. D. Otero, Juan C. Avendano, A. Ejnioui","doi":"10.1109/SysCon.2013.6549978","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549978","url":null,"abstract":"This paper investigates what traditional operations research methods might best be used to analysis a state trauma system composed of a finite number of trauma centers. Optimization techniques in the operation research community have been categorized or binned into a handful of generalized groupings. While not all of these are a good fit for emergency systems, some might provide clues or techniques useful in the development of decision-making tools or evaluative systems for larger more complex trauma systems. This paper investigates the history, theory, select variants of the vehicle routing systems. This effort provide a suitable background to determine if optimization techniques used by operations researchers in routing analysis can be applied to or manipulated to help improve performance of trauma care in case of a significant disaster.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130863236","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549893
K. Mykoniatis, A. Angelopoulou, J. P. Kincaid
Human-Robot Interaction (HRI) is a research field dedicated to understanding, designing, evaluating and improving the communication between a human and a robot. Technological progress in fields, such as artificial intelligence, computer science, speech simulation, image processing, and remote controls, has led to advances in robotic technology [1]. Interaction between human and robot can be separated into two general categories: remote, where the human and the robot are separated in space or time, and proximate, where the human and the robot may be found in the same location [2]. These two general categories can be further distinguished between applications that require mobility, physical manipulation, or social interaction. Social interactions with robots are more proximate rather than remote. The purpose of this paper is to design the architecture of a robotic system and understand how it might assist people with disabilities and help them stay independent longer. Future work includes verification and validation of the architecture and robotic construction. An experimentation plan will take place in order to evaluate the behavior and performance of the robotic system. The results will be used for the robotic construction.
{"title":"Architectural design of ARTeMIS: A multi-tasking robot for people with disabilities","authors":"K. Mykoniatis, A. Angelopoulou, J. P. Kincaid","doi":"10.1109/SysCon.2013.6549893","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549893","url":null,"abstract":"Human-Robot Interaction (HRI) is a research field dedicated to understanding, designing, evaluating and improving the communication between a human and a robot. Technological progress in fields, such as artificial intelligence, computer science, speech simulation, image processing, and remote controls, has led to advances in robotic technology [1]. Interaction between human and robot can be separated into two general categories: remote, where the human and the robot are separated in space or time, and proximate, where the human and the robot may be found in the same location [2]. These two general categories can be further distinguished between applications that require mobility, physical manipulation, or social interaction. Social interactions with robots are more proximate rather than remote. The purpose of this paper is to design the architecture of a robotic system and understand how it might assist people with disabilities and help them stay independent longer. Future work includes verification and validation of the architecture and robotic construction. An experimentation plan will take place in order to evaluate the behavior and performance of the robotic system. The results will be used for the robotic construction.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131497009","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549982
Rana Haber, A. Peter, C. Otero, I. Kostanic, A. Ejnioui
Terrain characteristics can significantly alter the quality of the results provided by the deployment methodology of large-scale wireless sensor networks. For example, transmissions between nodes that are heavily obstructed will require additional transmission power to establish connection between nodes. In some cases, heavily obstructed areas may prevent nodes from establishing a connection at all. Therefore, terrain analysis and classification of specific deployment areas should be incorporated in the methodology process for evaluation and optimization of the performance of wireless sensor networks upon deployment. Although there exists radio frequency (RF) models capable of modeling obstructions, such as vegetation, foliage, etc., automatic assignment of parameter values for these models may be troublesome, specifically in highly irregular deployments terrains, where proximity of poor and optimal conditions for signal propagation may be adjacent to each other. In these situations, parameter estimation for modeling terrain obstruction may result in overly optimistic or pessimistic results, causing characterizations or predictions that deviate from the true performance of the WSN once deployed. This paper presents the results of employing a support vector machine for automatic terrain classification. The approach can be used to automatically determine areas of high obstruction, which is essential to estimate obstruction parameters in simulations and enhancing the overall decision-making process during pre-deployment of large-scale and irregular deployment terrains.
{"title":"A support vector machine for terrain classification in on-demand deployments of wireless sensor networks","authors":"Rana Haber, A. Peter, C. Otero, I. Kostanic, A. Ejnioui","doi":"10.1109/SysCon.2013.6549982","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549982","url":null,"abstract":"Terrain characteristics can significantly alter the quality of the results provided by the deployment methodology of large-scale wireless sensor networks. For example, transmissions between nodes that are heavily obstructed will require additional transmission power to establish connection between nodes. In some cases, heavily obstructed areas may prevent nodes from establishing a connection at all. Therefore, terrain analysis and classification of specific deployment areas should be incorporated in the methodology process for evaluation and optimization of the performance of wireless sensor networks upon deployment. Although there exists radio frequency (RF) models capable of modeling obstructions, such as vegetation, foliage, etc., automatic assignment of parameter values for these models may be troublesome, specifically in highly irregular deployments terrains, where proximity of poor and optimal conditions for signal propagation may be adjacent to each other. In these situations, parameter estimation for modeling terrain obstruction may result in overly optimistic or pessimistic results, causing characterizations or predictions that deviate from the true performance of the WSN once deployed. This paper presents the results of employing a support vector machine for automatic terrain classification. The approach can be used to automatically determine areas of high obstruction, which is essential to estimate obstruction parameters in simulations and enhancing the overall decision-making process during pre-deployment of large-scale and irregular deployment terrains.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131568672","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549926
P. Grogan, O. Weck
Design of future hard infrastructure must consider emergent behaviors from cross-system interdependencies. Understanding these interdependencies is challenging due to high levels of integration in high-performance systems and their operation as a collaborative system-of-systems managed by multiple organizations. Existing modeling frameworks have limitations for strategic planning either because important spatial structure attributes have been abstracted out or behavioral models are oriented to shorter-term analysis with a static network structure. This paper presents a formal modeling framework as a first step to integrating infrastructure system models in a system-of-systems simulation addressing these concerns. First, a graph-theoretic structural framework captures the spatial dimension of physical infrastructure. An element's simulation state includes location, parent, resource contents, and operational state properties. Second, a functional behavioral framework captures the temporal dimension of infrastructure operations at a level suitable for strategic analysis. Resource behaviors determine the flow of resources into or out of nodes and element behaviors modify other state including the network structure. Two application use cases illustrate the usefulness of the modeling framework in varying contexts. The first case applies the framework to future space exploration infrastructure with an emphasis on mobile system elements and discrete resource flows. The second case applies the framework to infrastructure investment in Saudi Arabia with an emphasis on immobile system elements aggregated at the city level and continuous resource flows. Finally, conclusions present future work planned for implementing the framework in a simulation software tool.
{"title":"An integrated modeling framework for infrastructure system-of-systems simulation","authors":"P. Grogan, O. Weck","doi":"10.1109/SysCon.2013.6549926","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549926","url":null,"abstract":"Design of future hard infrastructure must consider emergent behaviors from cross-system interdependencies. Understanding these interdependencies is challenging due to high levels of integration in high-performance systems and their operation as a collaborative system-of-systems managed by multiple organizations. Existing modeling frameworks have limitations for strategic planning either because important spatial structure attributes have been abstracted out or behavioral models are oriented to shorter-term analysis with a static network structure. This paper presents a formal modeling framework as a first step to integrating infrastructure system models in a system-of-systems simulation addressing these concerns. First, a graph-theoretic structural framework captures the spatial dimension of physical infrastructure. An element's simulation state includes location, parent, resource contents, and operational state properties. Second, a functional behavioral framework captures the temporal dimension of infrastructure operations at a level suitable for strategic analysis. Resource behaviors determine the flow of resources into or out of nodes and element behaviors modify other state including the network structure. Two application use cases illustrate the usefulness of the modeling framework in varying contexts. The first case applies the framework to future space exploration infrastructure with an emphasis on mobile system elements and discrete resource flows. The second case applies the framework to infrastructure investment in Saudi Arabia with an emphasis on immobile system elements aggregated at the city level and continuous resource flows. Finally, conclusions present future work planned for implementing the framework in a simulation software tool.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134088231","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549856
G. Rebovich, J. DeRosa
The objective of this effort was to discover patterns of success in the systems engineering of information-intensive systems in a government acquisition environment using the method of positive deviance. Thirty government programs were identified, each with some notable success in the acquisition of IT-intensive capabilities. Twelve were selected for extensive follow-up and analysis, including detailed interviews with front-line practitioners who cope with the demands of the government acquisition system and are in a position to influence or observe positive deviance in their environment. This paper describes two large-scale success patterns that were observed, each with several recurring sub-patterns. “Balancing the Supply Web” addresses “social” interdependencies among enterprise stakeholders who have different equities in the capability being developed. “Harnessing Technical Complexity” addresses the technical interdependencies among system components that together deliver an operational capability for the enterprise. The large-scale patterns are two sides of the same coin. The programs studied achieved success because of the way they each navigated through these dual interdependencies.
{"title":"Patterns of success in systems engineering","authors":"G. Rebovich, J. DeRosa","doi":"10.1109/SysCon.2013.6549856","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549856","url":null,"abstract":"The objective of this effort was to discover patterns of success in the systems engineering of information-intensive systems in a government acquisition environment using the method of positive deviance. Thirty government programs were identified, each with some notable success in the acquisition of IT-intensive capabilities. Twelve were selected for extensive follow-up and analysis, including detailed interviews with front-line practitioners who cope with the demands of the government acquisition system and are in a position to influence or observe positive deviance in their environment. This paper describes two large-scale success patterns that were observed, each with several recurring sub-patterns. “Balancing the Supply Web” addresses “social” interdependencies among enterprise stakeholders who have different equities in the capability being developed. “Harnessing Technical Complexity” addresses the technical interdependencies among system components that together deliver an operational capability for the enterprise. The large-scale patterns are two sides of the same coin. The programs studied achieved success because of the way they each navigated through these dual interdependencies.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134333530","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549949
N. Subramanian, J. Zalewski
Cyberphysical systems (CPS) are an integral part of modern societies since most of the critical infrastructure is controlled by these systems. CPS incorporate computer-based and network-based technologies for monitoring and control of physical processes. Two critically important properties of CPS are safety and security. It is widely accepted that properties such as safety and security need to be considered at the system design phase itself, especially at the architectural level wherein such properties are embedded in the final system. However, safety and security are inter-related and there seems to be a lack of techniques that consider both of them together. The NFR Approach, where NFR stands for Non-Functional Requirements, is a technique that allows simultaneous evaluation of both safety and security at the architectural level. In this paper we apply the NFR Approach to evaluate safety and security properties of an example CPS, namely, an oil-pipeline control system. We conclude that NFR Approach provides practical results that can be used by designers and developers to create safe and secure CPS.
{"title":"Assessment of safety and security of system architectures for cyberphysical systems","authors":"N. Subramanian, J. Zalewski","doi":"10.1109/SysCon.2013.6549949","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549949","url":null,"abstract":"Cyberphysical systems (CPS) are an integral part of modern societies since most of the critical infrastructure is controlled by these systems. CPS incorporate computer-based and network-based technologies for monitoring and control of physical processes. Two critically important properties of CPS are safety and security. It is widely accepted that properties such as safety and security need to be considered at the system design phase itself, especially at the architectural level wherein such properties are embedded in the final system. However, safety and security are inter-related and there seems to be a lack of techniques that consider both of them together. The NFR Approach, where NFR stands for Non-Functional Requirements, is a technique that allows simultaneous evaluation of both safety and security at the architectural level. In this paper we apply the NFR Approach to evaluate safety and security properties of an example CPS, namely, an oil-pipeline control system. We conclude that NFR Approach provides practical results that can be used by designers and developers to create safe and secure CPS.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133099354","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}
Pub Date : 2013-04-15DOI: 10.1109/SysCon.2013.6549882
Ehsan Hosseini, A. Mousavi
The aim of this paper is to propose an analytical model for predicting the collective capability of a group of individuals that are assigned to a job. This collective applied capability in future can be used as a predictor of performance or success of teams that have been given an assignment. In this context capability is defined as the application of a set of inherent and acquired resources and the level of their utilization to complete a job. These resources are classified into three categories Enablers, Preferences and past Attainments. The collective capability is therefore inferred from the interrelationship between the members with respect to their Diversity, Homophily, and their past Experiences/Attainments working in teams. By reviewing the relevant literature a basic definition for capability is provided. Also to introduce a method for measuring collective capability, the existing literature on analysis of social networks and methods of interpreting and modeling the dynamics of human networks are briefly discussed. Such a modeling tool enables managers and decision makers to measure and compare different group formations with respect to their capability and use this capability index as a predictor of future performance. Companies and project managers will be able to implement special team building policies and strategies to maximize their capabilities to ensure better outcomes.
{"title":"On the capability of human networks","authors":"Ehsan Hosseini, A. Mousavi","doi":"10.1109/SysCon.2013.6549882","DOIUrl":"https://doi.org/10.1109/SysCon.2013.6549882","url":null,"abstract":"The aim of this paper is to propose an analytical model for predicting the collective capability of a group of individuals that are assigned to a job. This collective applied capability in future can be used as a predictor of performance or success of teams that have been given an assignment. In this context capability is defined as the application of a set of inherent and acquired resources and the level of their utilization to complete a job. These resources are classified into three categories Enablers, Preferences and past Attainments. The collective capability is therefore inferred from the interrelationship between the members with respect to their Diversity, Homophily, and their past Experiences/Attainments working in teams. By reviewing the relevant literature a basic definition for capability is provided. Also to introduce a method for measuring collective capability, the existing literature on analysis of social networks and methods of interpreting and modeling the dynamics of human networks are briefly discussed. Such a modeling tool enables managers and decision makers to measure and compare different group formations with respect to their capability and use this capability index as a predictor of future performance. Companies and project managers will be able to implement special team building policies and strategies to maximize their capabilities to ensure better outcomes.","PeriodicalId":218073,"journal":{"name":"2013 IEEE International Systems Conference (SysCon)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132303697","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}
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