Pub Date : 2022-06-16DOI: 10.1080/17477778.2022.2062262
J. Rosendale, G. Vece, K. Lindblad, C. Jordan, Morgan Stuart, Alex C. Nielsen, Beth Kalman, Saikou Diallo
{"title":"Developing and verifying an artificial twin of the organ procurement and transplant process: A systems approach","authors":"J. Rosendale, G. Vece, K. Lindblad, C. Jordan, Morgan Stuart, Alex C. Nielsen, Beth Kalman, Saikou Diallo","doi":"10.1080/17477778.2022.2062262","DOIUrl":"https://doi.org/10.1080/17477778.2022.2062262","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43717760","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 : 2022-06-06DOI: 10.1080/17477778.2022.2085203
Lin Wang, Meng Zhao, Yang Zhao, Huaxia Gao
ABSTRACT Contextual cues can stimulate consumers’ memory, increase their attention, and promote their purchase behaviour. Nevertheless, the dynamic mechanism of online shopping behaviour implementation intention in intricate social contexts has not been investigated comprehensively. Based on the theory of implementation intention, this study constructs a research framework from the standpoint of dual contextual cues of businesses and consumers, designs corresponding models by using system dynamics method, and validates its efficacy and sensitivity to elucidate the dynamic implementation intention mechanism of consumers’ social shopping behaviour. The purchase implementation intention of consumers is influenced by not only their psychological changes but also businesses, showing a fluctuating upward trend over time. Consumers’ implementation intention is highly sensitive to quality and safety cues and prospective memory of businesses degree. This study expands the viewpoint of contextual cues theory from the perspective of duality, upgrades the systematic mechanism of contextual cues and implementation intention, and finally offers relevant suggestions for businesses to promote consumer purchase behaviour.
{"title":"Situational dynamic implementation intentions of mobile shopping behaviour: Based on the perspective of dual contextual cues","authors":"Lin Wang, Meng Zhao, Yang Zhao, Huaxia Gao","doi":"10.1080/17477778.2022.2085203","DOIUrl":"https://doi.org/10.1080/17477778.2022.2085203","url":null,"abstract":"ABSTRACT Contextual cues can stimulate consumers’ memory, increase their attention, and promote their purchase behaviour. Nevertheless, the dynamic mechanism of online shopping behaviour implementation intention in intricate social contexts has not been investigated comprehensively. Based on the theory of implementation intention, this study constructs a research framework from the standpoint of dual contextual cues of businesses and consumers, designs corresponding models by using system dynamics method, and validates its efficacy and sensitivity to elucidate the dynamic implementation intention mechanism of consumers’ social shopping behaviour. The purchase implementation intention of consumers is influenced by not only their psychological changes but also businesses, showing a fluctuating upward trend over time. Consumers’ implementation intention is highly sensitive to quality and safety cues and prospective memory of businesses degree. This study expands the viewpoint of contextual cues theory from the perspective of duality, upgrades the systematic mechanism of contextual cues and implementation intention, and finally offers relevant suggestions for businesses to promote consumer purchase behaviour.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48243914","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 : 2022-06-05DOI: 10.1080/17477778.2022.2081521
Jm Tyler, Bj Murch, C. Vasilakis, Rm Wood
ABSTRACT Despite the many examples where simulation has successfully demonstrated its capability in modelling patient flow, there is little evidence of enduring widespread use. Bespoke academic projects provide little scope for repeatable practical application and efforts to develop generic reusable solutions have neither clearly identified the end users nor fully appreciated their multifaceted requirements. Influenced by a review of existing findings and recommendations in addition to a customised survey of prospective end users, a set of practical design principles were elicited in guiding development of a new open-source and versatile tool. Capturing variability in arrivals and length of stay as well as the stochastic nature of dynamic delays in patient discharge and transfer, the PathSimR tool can be used to model various user-defined configurations of outpatient and inpatient pathways. In addition to reporting on early use and engagement initiatives to promote the tool, this study also offers a blueprint for how simulation models can be developed and deployed within the healthcare setting.
{"title":"Improving uptake of simulation in healthcare: User-driven development of an open-source tool for modelling patient flow","authors":"Jm Tyler, Bj Murch, C. Vasilakis, Rm Wood","doi":"10.1080/17477778.2022.2081521","DOIUrl":"https://doi.org/10.1080/17477778.2022.2081521","url":null,"abstract":"ABSTRACT Despite the many examples where simulation has successfully demonstrated its capability in modelling patient flow, there is little evidence of enduring widespread use. Bespoke academic projects provide little scope for repeatable practical application and efforts to develop generic reusable solutions have neither clearly identified the end users nor fully appreciated their multifaceted requirements. Influenced by a review of existing findings and recommendations in addition to a customised survey of prospective end users, a set of practical design principles were elicited in guiding development of a new open-source and versatile tool. Capturing variability in arrivals and length of stay as well as the stochastic nature of dynamic delays in patient discharge and transfer, the PathSimR tool can be used to model various user-defined configurations of outpatient and inpatient pathways. In addition to reporting on early use and engagement initiatives to promote the tool, this study also offers a blueprint for how simulation models can be developed and deployed within the healthcare setting.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46553311","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 : 2022-06-05DOI: 10.1080/17477778.2022.2080008
M. Kieu, Hoang Nguyen, Jonathan A. Ward, N. Malleson
{"title":"Towards real-time predictions using emulators of agent-based models","authors":"M. Kieu, Hoang Nguyen, Jonathan A. Ward, N. Malleson","doi":"10.1080/17477778.2022.2080008","DOIUrl":"https://doi.org/10.1080/17477778.2022.2080008","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44861113","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 : 2022-05-31DOI: 10.1080/17477778.2022.2077664
Fan Zhang, Rongjinzi Wang, Jie Song, Yebing He
ABSTRACT The local grain reserve system is widely recognised as the key to ensure Chinese grain security in response to emergency events. Hence, the government should optimize the amounts and locations of grain reserves. Nevertheless, the grain supply process for emergencies is hard to be analytically model due to the complexity and uncertainty. In this paper, we propose an off-site storage structure to balance the high storage cost and the lack of storage capacity. Based on the off-site storage structure, we build a simulation model of the local grain reserve system and develop a systematic two-phase optimisation algorithm to achieve the optimal scheme. The numerical results show that the optimal off-site grain storage scheme can reduce the total annual operation cost of the entire system by 16%. Finally, other managerial suggestions are proposed for the government to build a more efficient local grain reserve system.
{"title":"Optimisation of the national grain reserve system using a two-phase algorithm","authors":"Fan Zhang, Rongjinzi Wang, Jie Song, Yebing He","doi":"10.1080/17477778.2022.2077664","DOIUrl":"https://doi.org/10.1080/17477778.2022.2077664","url":null,"abstract":"ABSTRACT The local grain reserve system is widely recognised as the key to ensure Chinese grain security in response to emergency events. Hence, the government should optimize the amounts and locations of grain reserves. Nevertheless, the grain supply process for emergencies is hard to be analytically model due to the complexity and uncertainty. In this paper, we propose an off-site storage structure to balance the high storage cost and the lack of storage capacity. Based on the off-site storage structure, we build a simulation model of the local grain reserve system and develop a systematic two-phase optimisation algorithm to achieve the optimal scheme. The numerical results show that the optimal off-site grain storage scheme can reduce the total annual operation cost of the entire system by 16%. Finally, other managerial suggestions are proposed for the government to build a more efficient local grain reserve system.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45004279","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 : 2022-05-30DOI: 10.1080/17477778.2022.2075805
S. Mousavi, S. Sajadi, Akbar Alemtabriz, S. E. Najafi
{"title":"Hybrid mathematical and simulation model for designing a hierarchical network of temporary medical centers in a disaster","authors":"S. Mousavi, S. Sajadi, Akbar Alemtabriz, S. E. Najafi","doi":"10.1080/17477778.2022.2075805","DOIUrl":"https://doi.org/10.1080/17477778.2022.2075805","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45867057","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 : 2022-05-21DOI: 10.1080/17477778.2022.2062261
T. Ghorpade, C. G. Corlu
ABSTRACT The one-commodity pickup and delivery traveling salesman problem (1-PDTSP) concerns the transportation of single-type goods that are picked up from supply locations to be delivered to the demand points while minimizing transportation costs. 1-PDTSP finds several applications in practice including the food redistribution operations, where excess edible foods from restaurants and food vendors are collected and delivered to food banks or meal centers, which are then made available to those in need. This paper addresses the realistic case where the pickup and delivery quantities are rarely known in advance and studies the 1-PDTSP with stochastic demand and supply values. We propose a novel simheuristic algorithm, which combines VND metaheuristic with Monte Carlo simulation (SimVND) to solve the stochastic 1-PDTSP. The resulting algorithm takes into account both the transportation cost and the penalty cost, which is incurred due to the inability to satisfy the entire demand. The experimental results indicate that the SimVND solution performs well on deterministic data sets when compared with the existing solutions in the literature. On the stochastic problems, this algorithm leads to a significant decrease in the penalty costs compared to those observed under deterministic solutions. When the penalty costs of not being able to meet demand are high, simheuristic techniques provide a more reliable solution than deterministic heuristic solutions or limited scenario-based solutions.
{"title":"A simheuristic algorithm for the stochastic one-commodity pickup and delivery travelling salesman problem","authors":"T. Ghorpade, C. G. Corlu","doi":"10.1080/17477778.2022.2062261","DOIUrl":"https://doi.org/10.1080/17477778.2022.2062261","url":null,"abstract":"ABSTRACT The one-commodity pickup and delivery traveling salesman problem (1-PDTSP) concerns the transportation of single-type goods that are picked up from supply locations to be delivered to the demand points while minimizing transportation costs. 1-PDTSP finds several applications in practice including the food redistribution operations, where excess edible foods from restaurants and food vendors are collected and delivered to food banks or meal centers, which are then made available to those in need. This paper addresses the realistic case where the pickup and delivery quantities are rarely known in advance and studies the 1-PDTSP with stochastic demand and supply values. We propose a novel simheuristic algorithm, which combines VND metaheuristic with Monte Carlo simulation (SimVND) to solve the stochastic 1-PDTSP. The resulting algorithm takes into account both the transportation cost and the penalty cost, which is incurred due to the inability to satisfy the entire demand. The experimental results indicate that the SimVND solution performs well on deterministic data sets when compared with the existing solutions in the literature. On the stochastic problems, this algorithm leads to a significant decrease in the penalty costs compared to those observed under deterministic solutions. When the penalty costs of not being able to meet demand are high, simheuristic techniques provide a more reliable solution than deterministic heuristic solutions or limited scenario-based solutions.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2022-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47713229","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 : 2022-05-21DOI: 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":null,"pages":null},"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":null,"pages":null},"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}
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