Pub Date : 2022-05-21DOI: 10.1080/17477778.2022.2075804
Vahid Faghihi, Amy A. Kim, David Ford
ABSTRACT The capability trap relegates organisations to poor performance by preventing feedback loop dominance shifts from working harder to working smarter. Escaping the trap is difficult because of the feedback structure that creates the trap, managerial biases, and delays in exploiting high leverage solutions. Previous research analysed cases of existing systems captured by or escaped from the trap, primarily to identify and explain trapping mechanisms. The current work approaches different by investigating how systems can be designed a priori to avoid or better escape the trap. We modeled a sustainability improvement program that successfully avoided capture and identified escape scenarios. The simulation model analysis identified high leverage improvement design features for trap avoidance and escape. Building efficiency features such as energy-saving effectiveness, decreasing life-cycle costs, increasing improvement lifespans, and conservation effectiveness influence performance. Improvement program design guidelines to escape or avoid the trap are proposed, and future research opportunities are discussed.
{"title":"Designing sustainability programs to avoid and escape the capability trap","authors":"Vahid Faghihi, Amy A. Kim, David Ford","doi":"10.1080/17477778.2022.2075804","DOIUrl":"https://doi.org/10.1080/17477778.2022.2075804","url":null,"abstract":"ABSTRACT The capability trap relegates organisations to poor performance by preventing feedback loop dominance shifts from working harder to working smarter. Escaping the trap is difficult because of the feedback structure that creates the trap, managerial biases, and delays in exploiting high leverage solutions. Previous research analysed cases of existing systems captured by or escaped from the trap, primarily to identify and explain trapping mechanisms. The current work approaches different by investigating how systems can be designed a priori to avoid or better escape the trap. We modeled a sustainability improvement program that successfully avoided capture and identified escape scenarios. The simulation model analysis identified high leverage improvement design features for trap avoidance and escape. Building efficiency features such as energy-saving effectiveness, decreasing life-cycle costs, increasing improvement lifespans, and conservation effectiveness influence performance. Improvement program design guidelines to escape or avoid the trap are proposed, and future research opportunities are discussed.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41940276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-10DOI: 10.1080/17477778.2022.2072782
Kevin Henares, J. L. Risco-Martín, J. Ayala, R. Hermida
ABSTRACT The Internet of Things (IoT) has caused an exponential increase in the number of connected devices. This brings the Internet closer to everyday activities and enables data collection that can be used to create and improve a great variety of services. However, more powerful storage and processing capabilities are required to service all these devices. Modelling and Simulation (M&S) can help to deploy IoT infrastructure, providing flexible and powerful mechanisms to study and compare different strategies. In this scenario, Micro Data Centers (MDCs) are an effective solution to reduce overwhelmed Cloud Data Center infrastructures. This paper explores an M&S methodology to study the overall power consumption of a healthcare IoT scenario, where patients wear non-intrusive monitoring devices that periodically generate computing tasks. We extract the layout of existing urban infrastructures, simulate the monitored population’s behaviour, and compare the power consumption of several data centre configurations.
{"title":"Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios","authors":"Kevin Henares, J. L. Risco-Martín, J. Ayala, R. Hermida","doi":"10.1080/17477778.2022.2072782","DOIUrl":"https://doi.org/10.1080/17477778.2022.2072782","url":null,"abstract":"ABSTRACT The Internet of Things (IoT) has caused an exponential increase in the number of connected devices. This brings the Internet closer to everyday activities and enables data collection that can be used to create and improve a great variety of services. However, more powerful storage and processing capabilities are required to service all these devices. Modelling and Simulation (M&S) can help to deploy IoT infrastructure, providing flexible and powerful mechanisms to study and compare different strategies. In this scenario, Micro Data Centers (MDCs) are an effective solution to reduce overwhelmed Cloud Data Center infrastructures. This paper explores an M&S methodology to study the overall power consumption of a healthcare IoT scenario, where patients wear non-intrusive monitoring devices that periodically generate computing tasks. We extract the layout of existing urban infrastructures, simulate the monitored population’s behaviour, and compare the power consumption of several data centre configurations.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"16 1","pages":"589 - 603"},"PeriodicalIF":2.5,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49640380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-12DOI: 10.1080/17477778.2022.2062260
A. Angelopoulou, K. Mykoniatis
{"title":"Hybrid modelling and simulation of the effect of vaccination on the COVID-19 transmission","authors":"A. Angelopoulou, K. Mykoniatis","doi":"10.1080/17477778.2022.2062260","DOIUrl":"https://doi.org/10.1080/17477778.2022.2062260","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46920255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-07DOI: 10.1080/17477778.2022.2055500
C. G. Alves, N. Furian, M. O'Sullivan, C. Walker
{"title":"Electronic representations of conceptual models for simulation – A scoping review","authors":"C. G. Alves, N. Furian, M. O'Sullivan, C. Walker","doi":"10.1080/17477778.2022.2055500","DOIUrl":"https://doi.org/10.1080/17477778.2022.2055500","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47357347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-05DOI: 10.1080/17477778.2022.2053311
J. Bordón-Ruiz, E. Besada-Portas, J. Orozco
ABSTRACT This paper presents a new Cloud-deployable DEVS-based framework for optimising UAV trajectories and sensor strategies in target-search missions. DEVS provides it with a well-established, flexible, and verifiable modelling strategy to include different models for the UAV, sensor, and target dynamics; the target and sensor uncertainty; and the optimising process. Its Cloud deployability speeds up the evaluations/simulations required to optimise this NP-hard problem, which involves computationally heavy models when solving real-world missions. The framework, designed to handle different types of target-search missions, currently optimises, using a multi-objective Genetic Algorithm, free-shape trajectories of multiple UAVs,eqquiped with several static/movable sensors to detect a target within a search area. It is implemented in xDEVS and deployable over a set of containers in the Google Cloud Platform. The results show that our deployment policy speeds up the computation up to 3.35 times, letting the operator simultaneously optimise several search strategies for agiven scenario.
{"title":"Cloud DEVS-based computation of UAVs trajectories for search and rescue missions","authors":"J. Bordón-Ruiz, E. Besada-Portas, J. Orozco","doi":"10.1080/17477778.2022.2053311","DOIUrl":"https://doi.org/10.1080/17477778.2022.2053311","url":null,"abstract":"ABSTRACT This paper presents a new Cloud-deployable DEVS-based framework for optimising UAV trajectories and sensor strategies in target-search missions. DEVS provides it with a well-established, flexible, and verifiable modelling strategy to include different models for the UAV, sensor, and target dynamics; the target and sensor uncertainty; and the optimising process. Its Cloud deployability speeds up the evaluations/simulations required to optimise this NP-hard problem, which involves computationally heavy models when solving real-world missions. The framework, designed to handle different types of target-search missions, currently optimises, using a multi-objective Genetic Algorithm, free-shape trajectories of multiple UAVs,eqquiped with several static/movable sensors to detect a target within a search area. It is implemented in xDEVS and deployable over a set of containers in the Google Cloud Platform. The results show that our deployment policy speeds up the computation up to 3.35 times, letting the operator simultaneously optimise several search strategies for agiven scenario.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"16 1","pages":"572 - 588"},"PeriodicalIF":2.5,"publicationDate":"2022-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41437014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-29DOI: 10.1080/17477778.2022.2056536
William Jones, Philip Gun
{"title":"Train timetabling and destination selection in mining freight rail networks: A hybrid simulation methodology incorporating heuristics","authors":"William Jones, Philip Gun","doi":"10.1080/17477778.2022.2056536","DOIUrl":"https://doi.org/10.1080/17477778.2022.2056536","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48617314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-17DOI: 10.1080/17477778.2022.2041989
Daniela L. Freire, R. Z. Frantz, Fabricia Roos-Frantz, Vítor Basto Fernandes
ABSTRACT Due to large volumes of data from Cloud Computing and from the Internet of Things, the companies’ software ecosystem requires an efficient integration of applications and services. Performance improvement from integration platforms’ runtime systems is directly related to task scheduling strategies from integration processes. It is still a challenge to find the proper heuristic for a given integration process subject to high inbound data rates. This article proposes a simulation tool for the field of Enterprise Application Integration, which implements different scheduling heuristics and allows the extraction of performance metrics. Three task scheduling heuristics were simulated during the integration process, and the results were evaluated through statistical tests.
{"title":"Integration process simulator: A tool for performance evaluation of task scheduling of integration processes","authors":"Daniela L. Freire, R. Z. Frantz, Fabricia Roos-Frantz, Vítor Basto Fernandes","doi":"10.1080/17477778.2022.2041989","DOIUrl":"https://doi.org/10.1080/17477778.2022.2041989","url":null,"abstract":"ABSTRACT Due to large volumes of data from Cloud Computing and from the Internet of Things, the companies’ software ecosystem requires an efficient integration of applications and services. Performance improvement from integration platforms’ runtime systems is directly related to task scheduling strategies from integration processes. It is still a challenge to find the proper heuristic for a given integration process subject to high inbound data rates. This article proposes a simulation tool for the field of Enterprise Application Integration, which implements different scheduling heuristics and allows the extraction of performance metrics. Three task scheduling heuristics were simulated during the integration process, and the results were evaluated through statistical tests.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"16 1","pages":"604 - 623"},"PeriodicalIF":2.5,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46425747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-07DOI: 10.1080/17477778.2022.2046520
Travis Goodwin, Jie Xu, N. Çelik, Chun-Hung Chen
{"title":"Real-time digital twin-based optimization with predictive simulation learning","authors":"Travis Goodwin, Jie Xu, N. Çelik, Chun-Hung Chen","doi":"10.1080/17477778.2022.2046520","DOIUrl":"https://doi.org/10.1080/17477778.2022.2046520","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45853569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-02DOI: 10.1080/17477778.2022.2043791
Oswaldo Terán, Paul Leger, Manuela López
ABSTRACT Chinese cross-border e-commerce has become the largest in the world, overtaking US e-commerce and representing about 40% of total global e-commerce spending in 2018. This market is highly complex, uncertain, and poorly understood. Surveys and statistics have been used to characterise it, but new approaches are required to better understand its complexity. To address this gap, we present an agent-based model of Chinese cross-border e-commerce. For a realistic representation of the buyers’ decision-making mechanism and some elements of their communication, including word of mouth (WOM), we use endorsements theory, and a survey is used to specify the model. The aim of the study is twofold: (1) to present an agent-based simulation (ABS) model of the Chinese cross-border e-commerce market; and (2) to illustrate the potential of the model to explore future possible configurations of the market and to guide stakeholders’ decision making.
{"title":"Modeling and simulating Chinese cross-border e-commerce: an agent-based simulation approach","authors":"Oswaldo Terán, Paul Leger, Manuela López","doi":"10.1080/17477778.2022.2043791","DOIUrl":"https://doi.org/10.1080/17477778.2022.2043791","url":null,"abstract":"ABSTRACT Chinese cross-border e-commerce has become the largest in the world, overtaking US e-commerce and representing about 40% of total global e-commerce spending in 2018. This market is highly complex, uncertain, and poorly understood. Surveys and statistics have been used to characterise it, but new approaches are required to better understand its complexity. To address this gap, we present an agent-based model of Chinese cross-border e-commerce. For a realistic representation of the buyers’ decision-making mechanism and some elements of their communication, including word of mouth (WOM), we use endorsements theory, and a survey is used to specify the model. The aim of the study is twofold: (1) to present an agent-based simulation (ABS) model of the Chinese cross-border e-commerce market; and (2) to illustrate the potential of the model to explore future possible configurations of the market and to guide stakeholders’ decision making.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47154553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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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