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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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}
Pub Date : 2022-03-01DOI: 10.1080/17477778.2022.2041990
Armando Nieto, Marti Serra, A. Juan, C. Bayliss
ABSTRACT The efficient management of assets to cover a firm’s liabilities over a multi-period horizon is a relevant challenge for many financial companies. Even in its deterministic version, this problem is complex since managers have to make difficult decisions about their asset portfolio each period. With the goal of maximising the expected terminal wealth in a scenario under uncertainty, this paper proposes a novel simheuristic approach that integrates Monte Carlo simulation at different stages of a Genetic Algorithm. Our approach is capable of generating effective solutions to the considered problem in relatively short computational times. Moreover, our simheuristic is enriched with several “smoothing” techniques that enhance the attractiveness for managers of the generated solutions, so they can be effectively employed in real-life applications. A series of computational experiments, including the use of advanced evolutionary strategies, illustrate these concepts and justify the advantages of including simulation in financial optimisation problems under uncertainty.
{"title":"A GA-simheuristic for the stochastic and multi-period portfolio optimisation problem with liabilities","authors":"Armando Nieto, Marti Serra, A. Juan, C. Bayliss","doi":"10.1080/17477778.2022.2041990","DOIUrl":"https://doi.org/10.1080/17477778.2022.2041990","url":null,"abstract":"ABSTRACT The efficient management of assets to cover a firm’s liabilities over a multi-period horizon is a relevant challenge for many financial companies. Even in its deterministic version, this problem is complex since managers have to make difficult decisions about their asset portfolio each period. With the goal of maximising the expected terminal wealth in a scenario under uncertainty, this paper proposes a novel simheuristic approach that integrates Monte Carlo simulation at different stages of a Genetic Algorithm. Our approach is capable of generating effective solutions to the considered problem in relatively short computational times. Moreover, our simheuristic is enriched with several “smoothing” techniques that enhance the attractiveness for managers of the generated solutions, so they can be effectively employed in real-life applications. A series of computational experiments, including the use of advanced evolutionary strategies, illustrate these concepts and justify the advantages of including simulation in financial optimisation problems under uncertainty.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42512010","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 : 2022-02-24DOI: 10.1080/17477778.2022.2035276
Y. Correa-Martinez, M. Seck
ABSTRACT This paper presents a generic representation of supply network resilience implemented using Agent-Based Modelling and Simulation (ABMS) and simulation experiments. The representation captures the relationships between tactical and strategic decisions and their impact on the performance of multi-echelon networks under supply uncertainty. This representation expands practitioners’ understanding of the behaviour of their supply chains by using the Supply Chain Operations Reference model processes and performance metrics and developing a simulation model that can be adapted to a firm’s unique supply structure (sourcing strategy) and its product’s technological assembly order (Bill of Materials). To demonstrate the applicability and usability of the proposed representation, a case with single and dual sourcing network structures was analysed under disruptions of operational and strategic nature. The example demonstrates the flexibility and functionality of the proposed representation to understand the performance and resilience of multi-echelon networks under a wide range of disruptive scenarios.
{"title":"A generic representation of supply network resilience using simulation based experimentation","authors":"Y. Correa-Martinez, M. Seck","doi":"10.1080/17477778.2022.2035276","DOIUrl":"https://doi.org/10.1080/17477778.2022.2035276","url":null,"abstract":"ABSTRACT This paper presents a generic representation of supply network resilience implemented using Agent-Based Modelling and Simulation (ABMS) and simulation experiments. The representation captures the relationships between tactical and strategic decisions and their impact on the performance of multi-echelon networks under supply uncertainty. This representation expands practitioners’ understanding of the behaviour of their supply chains by using the Supply Chain Operations Reference model processes and performance metrics and developing a simulation model that can be adapted to a firm’s unique supply structure (sourcing strategy) and its product’s technological assembly order (Bill of Materials). To demonstrate the applicability and usability of the proposed representation, a case with single and dual sourcing network structures was analysed under disruptions of operational and strategic nature. The example demonstrates the flexibility and functionality of the proposed representation to understand the performance and resilience of multi-echelon networks under a wide range of disruptive scenarios.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42288807","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 : 2022-02-14DOI: 10.1080/17477778.2021.1997342
Nan Zhao, H. Chong, Q. Li
ABSTRACT While behavioural diffusion is highly significant in behaviouristics, the relevant management studies remain limited, particularly for the extra-role of helping behaviour in project-based organisation. The helping behaviour diffusion mechanism could profoundly impact teamwork and project teams’ performance improvement. Therefore, this research aims to promote helping behaviour in project teams by exploring helping behavioural diffusion based on dynamic behavioural analyses and simulations. This research set up the Agent-based Modelling to simulate the helping behaviour diffusion, and considered influential factors, including team task characteristics, team size, and incentive system. Then, this research conducted simulation experiments in Netlogo and found that an increase in task dependence and cooperative spillover effect can promote the spread of helping behaviour, while an increase in team size, profit-sharing coefficient, and individual fixed income could inhibit such diffusion. The research provides new insights into cultivating a mutual helping culture within project teams.
{"title":"Agent-based modelling of helping behaviour diffusion in project teams as an evolutionary process","authors":"Nan Zhao, H. Chong, Q. Li","doi":"10.1080/17477778.2021.1997342","DOIUrl":"https://doi.org/10.1080/17477778.2021.1997342","url":null,"abstract":"ABSTRACT While behavioural diffusion is highly significant in behaviouristics, the relevant management studies remain limited, particularly for the extra-role of helping behaviour in project-based organisation. The helping behaviour diffusion mechanism could profoundly impact teamwork and project teams’ performance improvement. Therefore, this research aims to promote helping behaviour in project teams by exploring helping behavioural diffusion based on dynamic behavioural analyses and simulations. This research set up the Agent-based Modelling to simulate the helping behaviour diffusion, and considered influential factors, including team task characteristics, team size, and incentive system. Then, this research conducted simulation experiments in Netlogo and found that an increase in task dependence and cooperative spillover effect can promote the spread of helping behaviour, while an increase in team size, profit-sharing coefficient, and individual fixed income could inhibit such diffusion. The research provides new insights into cultivating a mutual helping culture within project teams.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42983102","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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