{"title":"Simulating a sterilization processing department to evaluate block schedules and tray configurations","authors":"Sean Harris, Valentina Nino, David Claudio","doi":"10.1002/sys.21707","DOIUrl":"https://doi.org/10.1002/sys.21707","url":null,"abstract":"","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45500891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Bourdon, P. Couturier, V. Chapurlat, R. Plana, V. Richet, B. Baudouin
{"title":"Model‐based architecting evaluation method for the delivery of complex nuclear projects","authors":"J. Bourdon, P. Couturier, V. Chapurlat, R. Plana, V. Richet, B. Baudouin","doi":"10.1002/sys.21705","DOIUrl":"https://doi.org/10.1002/sys.21705","url":null,"abstract":"","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47688430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Model‐based risk analysis for system design","authors":"J. Mendes","doi":"10.1002/sys.21704","DOIUrl":"https://doi.org/10.1002/sys.21704","url":null,"abstract":"","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43817325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Energy planning in sub‐Saharan African telecom networks: Decision support using a soft systems methodology","authors":"Mbiika Ceriano, J. Lalk, G. A. Thopil","doi":"10.1002/sys.21706","DOIUrl":"https://doi.org/10.1002/sys.21706","url":null,"abstract":"","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48154862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article details the first step in the system dynamics analysis of the systems engineering process for the evolution of legacy systems into an enterprise. This step develops a model that depicts the interaction of the various components associated with the system of interest. This model is a collection of causal loop diagrams that will foster the development of a novel framework known as the enterprise lifecycle model, which will support system dynamics analysis through three stages: planning, development, and execution. Peer‐reviewed academic and industry sources will be utilized to understand how accepted literature defines this analysis. Specifically, this model will be based on the Vee lifecycle model as well as the Agile and Iron Triangle frameworks. Supplemental elements will be added to these diagrams to incorporate the environment within which the system of interest is planned, developed, and executed. Additional factors, such as quality management, will be added to complete the super system and system of interest views of the enterprise lifecycle model—with the goal of creating a model depicting a reductive and holistic view that aids in the reduction of complexity surrounding the systems engineering process used to prepare legacy systems for evolution into an enterprise and support the definition of the desired target system.
{"title":"Developing a model that supports the evolution of legacy systems into an enterprise","authors":"Sian Terry, V. Chandrasekar","doi":"10.1002/sys.21700","DOIUrl":"https://doi.org/10.1002/sys.21700","url":null,"abstract":"This article details the first step in the system dynamics analysis of the systems engineering process for the evolution of legacy systems into an enterprise. This step develops a model that depicts the interaction of the various components associated with the system of interest. This model is a collection of causal loop diagrams that will foster the development of a novel framework known as the enterprise lifecycle model, which will support system dynamics analysis through three stages: planning, development, and execution. Peer‐reviewed academic and industry sources will be utilized to understand how accepted literature defines this analysis. Specifically, this model will be based on the Vee lifecycle model as well as the Agile and Iron Triangle frameworks. Supplemental elements will be added to these diagrams to incorporate the environment within which the system of interest is planned, developed, and executed. Additional factors, such as quality management, will be added to complete the super system and system of interest views of the enterprise lifecycle model—with the goal of creating a model depicting a reductive and holistic view that aids in the reduction of complexity surrounding the systems engineering process used to prepare legacy systems for evolution into an enterprise and support the definition of the desired target system.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":"1 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41411028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonathon Parry, Donald H. Costello, J. Rupert, Gavin Taylor
{"title":"The National Airworthiness Council artificial intelligence working group (NACAIWG) summit proceedings 2022","authors":"Jonathon Parry, Donald H. Costello, J. Rupert, Gavin Taylor","doi":"10.1002/sys.21703","DOIUrl":"https://doi.org/10.1002/sys.21703","url":null,"abstract":"","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45223354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study provides empirical evidence to the body of knowledge in Agile methods adoption in small, medium, and large organizations in the global context. This research explores facilitators and inhibitors of Agile methods adoption in software development organizations. A survey was conducted among Agile professionals to gather survey data from 52 software organizations in seven countries across the world. This study found many facilitators of Agile adoption to be significant such as customers’ dominant issues, encouragement, project champion, highly competent team, use of tools, etc. Similarly a correlation analysis revealed multiple inhibitors as significant: absence of a full set of right Agile practices, absence of customer presence, absence of tracking mechanisms during Agile progress, and failure to determine the role of the client. The present study identifies that an Agile team with high expertise and competence leads to higher quality in software, customer satisfaction along with return on investment (ROI) while a small Agile team increases ease in handling changing requirements, customer satisfaction, reduced delivery time, and increased ROI. Frequent delivery accelerates better control over work, adds to software quality, customer satisfaction, and in shortening delivery time along with increase ROI. It has also been observed that providing essential features early leads to increase in software quality and customer satisfaction. This study confirms that active customer focus leads to better control over work. Further, absence of customer decreases dealing with changing requirements, and customer satisfaction while absence of progress tracking lowers customer satisfaction.
{"title":"Facilitators and inhibitors of Agile methods adoption: Practitioners view","authors":"Deepti Mishra, A. Mishra, Samia Abdalhamid","doi":"10.1002/sys.21702","DOIUrl":"https://doi.org/10.1002/sys.21702","url":null,"abstract":"This study provides empirical evidence to the body of knowledge in Agile methods adoption in small, medium, and large organizations in the global context. This research explores facilitators and inhibitors of Agile methods adoption in software development organizations. A survey was conducted among Agile professionals to gather survey data from 52 software organizations in seven countries across the world. This study found many facilitators of Agile adoption to be significant such as customers’ dominant issues, encouragement, project champion, highly competent team, use of tools, etc. Similarly a correlation analysis revealed multiple inhibitors as significant: absence of a full set of right Agile practices, absence of customer presence, absence of tracking mechanisms during Agile progress, and failure to determine the role of the client. The present study identifies that an Agile team with high expertise and competence leads to higher quality in software, customer satisfaction along with return on investment (ROI) while a small Agile team increases ease in handling changing requirements, customer satisfaction, reduced delivery time, and increased ROI. Frequent delivery accelerates better control over work, adds to software quality, customer satisfaction, and in shortening delivery time along with increase ROI. It has also been observed that providing essential features early leads to increase in software quality and customer satisfaction. This study confirms that active customer focus leads to better control over work. Further, absence of customer decreases dealing with changing requirements, and customer satisfaction while absence of progress tracking lowers customer satisfaction.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45606252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Astrid V. Solheim, A. Rauzy, P. O. Brett, S. Ellefmo, Tonje Hatling, R. Helmons, B. Asbjørnslett
In this paper, model‐based systems engineering (MBSE) and discrete event simulation (DES) are combined to assess the performance of an offshore production system at an early stage. Various systems engineering tools are applied to an industrial case concerning the retrieval of deep‐sea minerals, and a simulation engine is developed to calculate the annual production output. A mean production of 1 Million tonnes of ore per year is estimated for an operation in the Norwegian Sea using Monte Carlo simulation. Depending on the limiting design wave height of the marine operations, the estimated production output ranges from 280,000 tonnes to 1.8 Million tonnes per year. The constrained parameter of the production system is particularly the wave height operational limit of the ship‐to‐ship transfer operation. We present the learning outcome from applying MBSE and DES to this case and discuss important aspects for improved performance.
{"title":"Assessment of expected production of a deep‐sea mining system: An integrated model‐based systems engineering and discrete event simulation approach","authors":"Astrid V. Solheim, A. Rauzy, P. O. Brett, S. Ellefmo, Tonje Hatling, R. Helmons, B. Asbjørnslett","doi":"10.1002/sys.21699","DOIUrl":"https://doi.org/10.1002/sys.21699","url":null,"abstract":"In this paper, model‐based systems engineering (MBSE) and discrete event simulation (DES) are combined to assess the performance of an offshore production system at an early stage. Various systems engineering tools are applied to an industrial case concerning the retrieval of deep‐sea minerals, and a simulation engine is developed to calculate the annual production output. A mean production of 1 Million tonnes of ore per year is estimated for an operation in the Norwegian Sea using Monte Carlo simulation. Depending on the limiting design wave height of the marine operations, the estimated production output ranges from 280,000 tonnes to 1.8 Million tonnes per year. The constrained parameter of the production system is particularly the wave height operational limit of the ship‐to‐ship transfer operation. We present the learning outcome from applying MBSE and DES to this case and discuss important aspects for improved performance.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43076013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Built infrastructure for water and energy supply, transportation, and other such services underpins human well‐being and socioeconomic development. A fundamental understanding of how infrastructure design and user strategies interact can guide important design decisions as well as policy formulation for ensuring long‐term infrastructure viability in conjunction with improved individual user benefits. In this work, an agent based model (ABM) is developed to study this issue for the specific case of irrigation canals. Cooperatively maintained irrigation canals serve essential roles in sustaining agriculture‐based economies in many regions. Canal system design can strongly affect benefits derived by distributed users, regional agricultural output, and the long‐term viability of the shared infrastructure itself. Here, an ABM is used to investigate how an option to use an independent water source interacts with canal design to affect canal maintenance cooperation and farmer income. The independent water source is stylized as a well that provides access to groundwater and represents a strategically robust design option; a design option that reduces the implementer's utility vulnerability to unfavorable actions by other actors. Research in other systems has demonstrated that strategically robust designs can improve both implementer utility and the probability of collaboration. The results of this research, in contrast, demonstrate that the option of individual resource access, the strategically robust design option, as represented by a well, reduces cooperative maintenance in most cases. However, wells also improve farmer income, especially for downstream farmers that are most affected by water theft.
{"title":"Effects of individual strategies for resource access on collaboratively maintained irrigation infrastructure","authors":"Jordan L. Stern, A. Siddiqi, P. Grogan","doi":"10.1002/sys.21701","DOIUrl":"https://doi.org/10.1002/sys.21701","url":null,"abstract":"Built infrastructure for water and energy supply, transportation, and other such services underpins human well‐being and socioeconomic development. A fundamental understanding of how infrastructure design and user strategies interact can guide important design decisions as well as policy formulation for ensuring long‐term infrastructure viability in conjunction with improved individual user benefits. In this work, an agent based model (ABM) is developed to study this issue for the specific case of irrigation canals. Cooperatively maintained irrigation canals serve essential roles in sustaining agriculture‐based economies in many regions. Canal system design can strongly affect benefits derived by distributed users, regional agricultural output, and the long‐term viability of the shared infrastructure itself. Here, an ABM is used to investigate how an option to use an independent water source interacts with canal design to affect canal maintenance cooperation and farmer income. The independent water source is stylized as a well that provides access to groundwater and represents a strategically robust design option; a design option that reduces the implementer's utility vulnerability to unfavorable actions by other actors. Research in other systems has demonstrated that strategically robust designs can improve both implementer utility and the probability of collaboration. The results of this research, in contrast, demonstrate that the option of individual resource access, the strategically robust design option, as represented by a well, reduces cooperative maintenance in most cases. However, wells also improve farmer income, especially for downstream farmers that are most affected by water theft.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47773437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Enterprise system engineering is a new practice that has emerged over the last few decades, promising to achieve better enterprises by improving cross‐enterprise processes. However, enterprises have a unique property as a system of unsynchronized arrays of systems. This property can lead to severe problems and anomalies, such as cross‐enterprise failures. These issues become even more drastic in supporting cross‐enterprises processes like transportation. The transportation arena is a complex system in itself. It comprises a variety of enterprises and systems supported by different technologies and vendors. Moreover, it involves governmental, municipal, and private stakeholders. Therefore, planning and designing a coordinated and integrated architecture is difficult. A new enterprise system engineering framework called EPIC addresses these issues by enabling better coordination of unsynchronized arrays of systems across enterprises. This research explores the application of an architectural framework to the transportation arena, where existing methods have not adequately addressed its unique properties. Deploying it in the “real world” plants the seeds to improve the transportation processes, their performance, efficiency, and reliability.
{"title":"Deployment of EPIC framework for intelligence transportation system","authors":"Miri Sitton","doi":"10.1002/sys.21698","DOIUrl":"https://doi.org/10.1002/sys.21698","url":null,"abstract":"Enterprise system engineering is a new practice that has emerged over the last few decades, promising to achieve better enterprises by improving cross‐enterprise processes. However, enterprises have a unique property as a system of unsynchronized arrays of systems. This property can lead to severe problems and anomalies, such as cross‐enterprise failures. These issues become even more drastic in supporting cross‐enterprises processes like transportation. The transportation arena is a complex system in itself. It comprises a variety of enterprises and systems supported by different technologies and vendors. Moreover, it involves governmental, municipal, and private stakeholders. Therefore, planning and designing a coordinated and integrated architecture is difficult. A new enterprise system engineering framework called EPIC addresses these issues by enabling better coordination of unsynchronized arrays of systems across enterprises. This research explores the application of an architectural framework to the transportation arena, where existing methods have not adequately addressed its unique properties. Deploying it in the “real world” plants the seeds to improve the transportation processes, their performance, efficiency, and reliability.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43453173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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