Pub Date : 2023-07-11DOI: 10.1080/17477778.2023.2233464
Kai Liu
{"title":"Design and application of real-time traffic simulation platform based on UTC/SCOOT and VISSIM","authors":"Kai Liu","doi":"10.1080/17477778.2023.2233464","DOIUrl":"https://doi.org/10.1080/17477778.2023.2233464","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44382864","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 : 2023-07-05DOI: 10.1080/17477778.2023.2231877
Camilo Andrés Rodríguez-Espinosa, E. M. González-Neira, G. Zambrano-Rey
{"title":"A simheuristic approach using the NSGA-II to solve a bi-objective stochastic flexible job shop problem","authors":"Camilo Andrés Rodríguez-Espinosa, E. M. González-Neira, G. Zambrano-Rey","doi":"10.1080/17477778.2023.2231877","DOIUrl":"https://doi.org/10.1080/17477778.2023.2231877","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49401344","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 : 2023-06-19DOI: 10.1080/17477778.2023.2224928
Lucy E. Morgan, B. Nelson, A. Titman, D. Worthington
{"title":"A spline function method for modelling and generating a nonhomogeneous poisson process","authors":"Lucy E. Morgan, B. Nelson, A. Titman, D. Worthington","doi":"10.1080/17477778.2023.2224928","DOIUrl":"https://doi.org/10.1080/17477778.2023.2224928","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44701219","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 : 2023-05-29DOI: 10.1080/17477778.2023.2217334
T. M. Abuhay, S. Robinson, A. Mamuye, S. Kovalchuk
ABSTRACT Stochastic distribution methods were used to construct patient flow simulation sub-models such as patient inflow, length of stay (LoS), cost of treatment (CoT) and clinical pathways (CPs). However, the patient inflow rate demonstrates seasonality, trend, and variation due to natural and human-made factors. LoS, CoT and CPs are determined by social-demographics factors, clinical and laboratory test results, resource availability and healthcare structure. For this reason, patient flow simulation models developed using stochastic methods have limitations including uncertainty, not recognising patient heterogeneity, and not representing personalised and value-based healthcare. This, in turn, results in a low acceptance level and implementation of solutions suggested by patient flow simulation models. On the other hand, machine learning becomes effective in predicting patient inflow, LoS, CoT, and CPs. This paper, therefore, describes why coupling machine learning with patient flow simulation is important, proposes a conceptual architecture for machine learning integrated patient flow simulation and demonstrates its implementation with examples.
{"title":"Machine learning integrated patient flow simulation: why and how?","authors":"T. M. Abuhay, S. Robinson, A. Mamuye, S. Kovalchuk","doi":"10.1080/17477778.2023.2217334","DOIUrl":"https://doi.org/10.1080/17477778.2023.2217334","url":null,"abstract":"ABSTRACT Stochastic distribution methods were used to construct patient flow simulation sub-models such as patient inflow, length of stay (LoS), cost of treatment (CoT) and clinical pathways (CPs). However, the patient inflow rate demonstrates seasonality, trend, and variation due to natural and human-made factors. LoS, CoT and CPs are determined by social-demographics factors, clinical and laboratory test results, resource availability and healthcare structure. For this reason, patient flow simulation models developed using stochastic methods have limitations including uncertainty, not recognising patient heterogeneity, and not representing personalised and value-based healthcare. This, in turn, results in a low acceptance level and implementation of solutions suggested by patient flow simulation models. On the other hand, machine learning becomes effective in predicting patient inflow, LoS, CoT, and CPs. This paper, therefore, describes why coupling machine learning with patient flow simulation is important, proposes a conceptual architecture for machine learning integrated patient flow simulation and demonstrates its implementation with examples.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42543250","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 : 2023-05-26DOI: 10.1080/17477778.2023.2217335
Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, Ming Xin
{"title":"Prescribed Fire Simulation with Dynamic Ignitions Using Data from UAS-based Sensing","authors":"Xiaolin Hu, Mu Ge, Saket Gowravaram, Haiyang Chao, Ming Xin","doi":"10.1080/17477778.2023.2217335","DOIUrl":"https://doi.org/10.1080/17477778.2023.2217335","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60057827","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 : 2023-05-25DOI: 10.1080/17477778.2023.2214685
Jaewoo Chung
{"title":"A simulation and scheduling method for analyzing the peak time capacity of the dual-robot in-line stocker","authors":"Jaewoo Chung","doi":"10.1080/17477778.2023.2214685","DOIUrl":"https://doi.org/10.1080/17477778.2023.2214685","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49021691","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 : 2023-05-08DOI: 10.1080/17477778.2023.2204196
Yangsheng Jiang, Hao Li, Lu Hu, Y. Pu
{"title":"One-way station-based electric carsharing service design considering route selection based on road congestion","authors":"Yangsheng Jiang, Hao Li, Lu Hu, Y. Pu","doi":"10.1080/17477778.2023.2204196","DOIUrl":"https://doi.org/10.1080/17477778.2023.2204196","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43653962","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 : 2023-05-01DOI: 10.1080/17477778.2023.2207747
Yang Yang, Xinli Que, Qian Qian, Hao-wen Fang
{"title":"An agent-based model of supply chain financing: agents’ strategies, performance, and risk contagions","authors":"Yang Yang, Xinli Que, Qian Qian, Hao-wen Fang","doi":"10.1080/17477778.2023.2207747","DOIUrl":"https://doi.org/10.1080/17477778.2023.2207747","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44106013","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 : 2023-04-17DOI: 10.1080/17477778.2023.2202338
Izhar Oswaldo Escudero-Ornelas, D. Tiwari, Michael Farnsworth, Ashutosh Tiwari
{"title":"Modelling interdependencies in an electric motor manufacturing process using discrete event simulation","authors":"Izhar Oswaldo Escudero-Ornelas, D. Tiwari, Michael Farnsworth, Ashutosh Tiwari","doi":"10.1080/17477778.2023.2202338","DOIUrl":"https://doi.org/10.1080/17477778.2023.2202338","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47391972","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 : 2023-04-16DOI: 10.1080/17477778.2023.2202337
Vishwesh Singbal, G. K. Adil
{"title":"Development of an open-source data-driven simulator for the unit-load multi-aisle automated storage and retrieval systems","authors":"Vishwesh Singbal, G. K. Adil","doi":"10.1080/17477778.2023.2202337","DOIUrl":"https://doi.org/10.1080/17477778.2023.2202337","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42991674","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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