Pub Date : 2022-11-18DOI: 10.1080/17477778.2022.2145243
Verônica Ghisolfi, L. Tavasszy, Gonçalo Homem de Almeida Rodriguez Correia, Gisele de Lorena Diniz Chaves, G. Ribeiro
{"title":"Dynamics of freight transport decarbonisation: a conceptual model","authors":"Verônica Ghisolfi, L. Tavasszy, Gonçalo Homem de Almeida Rodriguez Correia, Gisele de Lorena Diniz Chaves, G. Ribeiro","doi":"10.1080/17477778.2022.2145243","DOIUrl":"https://doi.org/10.1080/17477778.2022.2145243","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44729152","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 : 2022-11-02DOI: 10.1080/17477778.2022.2080009
A. Falcone, A. Garro, N. Mustafee, M. Niazi, Gabriel A. Wainer
Modelling and Simulation (M&S) represents one of the fundamental methods to design and study complex systems in many industrial and scientific domains such as transport, energy, and aerospace. M&S techniques enable the analysis and evaluation of many design alternatives while avoiding risks, costs, and failures that come with experimentations on the real system; this opportunity becomes crucial, when realworld tests are too costly to conduct in terms of safety, time, and other resources (Fujimoto et al., 2017). Cloud Computing has captured the interest of the scientific and industrial communities because of the benefits provided by its service models, i.e., Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). These services allow developers to rapidly implement solutions that exploit computing and data storage capacity, network resources, and scalability, without having to deal with common issues related to the configuration of the Cloud infrastructure that is automatically managed by a specific service. Cloud Computing can be defined as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., servers, storage, and services) that can be rapidly provisioned and released with minimal effort in management (Mell & Grance, 2011). In this context, Cloud, Fog, and Edge computing allow organisations to exploit data processing and storage resources efficiently through the definition of a hierarchical data processing architecture. Fog and Edge computing are both extensions of the Cloud network, where at the lowest level there is the Edge, followed by the Fog level, and finally the Cloud level. The Edge layer allows reducing network traffic as data processing occurs locally on the devices. The Fog layer of the Cloud network architecture pushes intelligence down to the LAN layer, where data are processed in a gateway; thus, the Fog nodes are placed near devices with which it is communicating. Cloud, Fog, and Edge computing can offer suitable services to share and collaborate on M&S projects and perform complex simulation experiments faster and more efficiently through the Modelling and Simulation as a Service (MSaaS) model. While MSaaS provides an everincreasing number of opportunities, it also poses a significant number of pitfalls. One of the major pitfalls is that Cloud infrastructures are massive at all scales; as a consequence, the definition of MSaaS solutions is difficult without a deep knowledge of the involved infrastructures and technologies (Cayirci, 2013). The focus of this special issue is to provide current research results in M&S for Cloud Computing and vice versa. Specifically, the special issue aims at (i) presenting the current state-of-the-art about M&S solutions based on open standards, recent extensions, and innovations related to Cloud Computing technologies; (ii) identifying research directions and technologies that w
{"title":"Editorial: Special issue on modelling and simulation in the cloud computing era","authors":"A. Falcone, A. Garro, N. Mustafee, M. Niazi, Gabriel A. Wainer","doi":"10.1080/17477778.2022.2080009","DOIUrl":"https://doi.org/10.1080/17477778.2022.2080009","url":null,"abstract":"Modelling and Simulation (M&S) represents one of the fundamental methods to design and study complex systems in many industrial and scientific domains such as transport, energy, and aerospace. M&S techniques enable the analysis and evaluation of many design alternatives while avoiding risks, costs, and failures that come with experimentations on the real system; this opportunity becomes crucial, when realworld tests are too costly to conduct in terms of safety, time, and other resources (Fujimoto et al., 2017). Cloud Computing has captured the interest of the scientific and industrial communities because of the benefits provided by its service models, i.e., Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). These services allow developers to rapidly implement solutions that exploit computing and data storage capacity, network resources, and scalability, without having to deal with common issues related to the configuration of the Cloud infrastructure that is automatically managed by a specific service. Cloud Computing can be defined as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., servers, storage, and services) that can be rapidly provisioned and released with minimal effort in management (Mell & Grance, 2011). In this context, Cloud, Fog, and Edge computing allow organisations to exploit data processing and storage resources efficiently through the definition of a hierarchical data processing architecture. Fog and Edge computing are both extensions of the Cloud network, where at the lowest level there is the Edge, followed by the Fog level, and finally the Cloud level. The Edge layer allows reducing network traffic as data processing occurs locally on the devices. The Fog layer of the Cloud network architecture pushes intelligence down to the LAN layer, where data are processed in a gateway; thus, the Fog nodes are placed near devices with which it is communicating. Cloud, Fog, and Edge computing can offer suitable services to share and collaborate on M&S projects and perform complex simulation experiments faster and more efficiently through the Modelling and Simulation as a Service (MSaaS) model. While MSaaS provides an everincreasing number of opportunities, it also poses a significant number of pitfalls. One of the major pitfalls is that Cloud infrastructures are massive at all scales; as a consequence, the definition of MSaaS solutions is difficult without a deep knowledge of the involved infrastructures and technologies (Cayirci, 2013). The focus of this special issue is to provide current research results in M&S for Cloud Computing and vice versa. Specifically, the special issue aims at (i) presenting the current state-of-the-art about M&S solutions based on open standards, recent extensions, and innovations related to Cloud Computing technologies; (ii) identifying research directions and technologies that w","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"16 1","pages":"547 - 549"},"PeriodicalIF":2.5,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42740498","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 : 2022-10-12DOI: 10.1080/17477778.2022.2128911
Cristina Duran Casablancas, M. Holtman, M. Strlič, J. Grau-Bové
Digitisation has become an essential part of archival and library strategies to enhance access to collections. As the digital content is increasing due to large-scale digitisation projects, it is expected that providing digital access to the analogue collections will eventually reduce the number of archival records accessed in the reading room. In this paper, we investigate this issue using two approaches: system dynamics and agent-based modelling. We first analyse real data in order to identify the dynamic hypothesis of the model. Then, a sensitivity analysis is conducted on two baseline models to identify scenarios that match the real dataset. Although the two approaches suceed to simulate the number of requests in the reading room, the experimental results show that a better fit is obtained in the agent-based model when not only the number of records that have been accessed and digitised is taken into account, but also the number of times that such records have been accessed before digitisation. The proposed model can be used to explore the impact of different digitisation strategies on the decrease in access requests in the archival and library reading rooms.
{"title":"The end of the reading room? Simulating the impact of digitisation on the physical access of archival collections","authors":"Cristina Duran Casablancas, M. Holtman, M. Strlič, J. Grau-Bové","doi":"10.1080/17477778.2022.2128911","DOIUrl":"https://doi.org/10.1080/17477778.2022.2128911","url":null,"abstract":"Digitisation has become an essential part of archival and library strategies to enhance access to collections. As the digital content is increasing due to large-scale digitisation projects, it is expected that providing digital access to the analogue collections will eventually reduce the number of archival records accessed in the reading room. In this paper, we investigate this issue using two approaches: system dynamics and agent-based modelling. We first analyse real data in order to identify the dynamic hypothesis of the model. Then, a sensitivity analysis is conducted on two baseline models to identify scenarios that match the real dataset. Although the two approaches suceed to simulate the number of requests in the reading room, the experimental results show that a better fit is obtained in the agent-based model when not only the number of records that have been accessed and digitised is taken into account, but also the number of times that such records have been accessed before digitisation. The proposed model can be used to explore the impact of different digitisation strategies on the decrease in access requests in the archival and library reading rooms.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47750277","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 : 2022-09-29DOI: 10.1080/17477778.2022.2128912
Xiaoming Yang, Yicheng Zhang
{"title":"A simulation study on the configuration of quay cranes in container terminal","authors":"Xiaoming Yang, Yicheng Zhang","doi":"10.1080/17477778.2022.2128912","DOIUrl":"https://doi.org/10.1080/17477778.2022.2128912","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47324356","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 : 2022-09-22DOI: 10.23860/thesis-mccool-guglielmo-emma-2021
Emma McCool-Guglielmo, Nicholas D. Bernardo, Jennifer I. Lather, Gretchen A. Macht
{"title":"IMPACT OF FACILITIES LAYOUT METHODS ON IN-PERSON ELECTIONS: A THEORETICAL EXPLORATION","authors":"Emma McCool-Guglielmo, Nicholas D. Bernardo, Jennifer I. Lather, Gretchen A. Macht","doi":"10.23860/thesis-mccool-guglielmo-emma-2021","DOIUrl":"https://doi.org/10.23860/thesis-mccool-guglielmo-emma-2021","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46671345","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 : 2022-09-14DOI: 10.1080/17477778.2022.2122741
R. A. Williams
{"title":"Towards an agent-based model using a hybrid conceptual modelling approach: A case study of relationship conflict within large enterprise system implementations","authors":"R. A. Williams","doi":"10.1080/17477778.2022.2122741","DOIUrl":"https://doi.org/10.1080/17477778.2022.2122741","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43989744","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 : 2022-09-02DOI: 10.1080/17477778.2022.2115416
Hana Ben Mbarek, N. Aissaoui, A. Jaoua, S. Layeb, Atidel B. Hadj-Alouane
{"title":"A human behavior-based simulation model for resource allocation at a multi-specialty outpatient clinic","authors":"Hana Ben Mbarek, N. Aissaoui, A. Jaoua, S. Layeb, Atidel B. Hadj-Alouane","doi":"10.1080/17477778.2022.2115416","DOIUrl":"https://doi.org/10.1080/17477778.2022.2115416","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49104427","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 : 2022-08-18DOI: 10.1080/17477778.2022.2108736
Naoum Tsioptsias, Antulea A. Tako, S. Robinson
ABSTRACT Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (OR). This paper aims to improve our understanding of “wrong” Discrete Event Simulation (DES) models based on empirical evidence. We interview 22 modellers who describe projects where modelling did not go as expected and explain how they dealt with those situations. This resulted in 54 stories reporting that a model was identified ”wrong” either by the modeller, the client or both. We perform a qualitative text analysis of the stories to identify the factors that define a ”wrong” model as well as potential uses of ”wrong” models. The results show that some models even though considered ”wrong” may still be useful in practice and provide valuable insights to users and modellers. This study offers practical suggestions for users and modellers to consider when dealing with a model that is considered ”wrong”.
{"title":"Are “wrong” models useful? A qualitative study of discrete event simulation modeller stories","authors":"Naoum Tsioptsias, Antulea A. Tako, S. Robinson","doi":"10.1080/17477778.2022.2108736","DOIUrl":"https://doi.org/10.1080/17477778.2022.2108736","url":null,"abstract":"ABSTRACT Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (OR). This paper aims to improve our understanding of “wrong” Discrete Event Simulation (DES) models based on empirical evidence. We interview 22 modellers who describe projects where modelling did not go as expected and explain how they dealt with those situations. This resulted in 54 stories reporting that a model was identified ”wrong” either by the modeller, the client or both. We perform a qualitative text analysis of the stories to identify the factors that define a ”wrong” model as well as potential uses of ”wrong” models. The results show that some models even though considered ”wrong” may still be useful in practice and provide valuable insights to users and modellers. This study offers practical suggestions for users and modellers to consider when dealing with a model that is considered ”wrong”.","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"17 1","pages":"594 - 606"},"PeriodicalIF":2.5,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41760110","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}
{"title":"Integrating scheduling and routing decisions into home health care operation with skill requirements and uncertainties","authors":"Yaping Fu, Feng Ding, Zongyu Mu, Cuihua Sun, Kaizhou Gao","doi":"10.1080/17477778.2022.2108735","DOIUrl":"https://doi.org/10.1080/17477778.2022.2108735","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":"1 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41520476","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 : 2022-07-25DOI: 10.1080/17477778.2022.2102945
J. Ruiz-Meza, Ricardo Sotaquirá, J. Montoya-Torres
{"title":"Effects of tourism planning and marketing strategies on destination brand equity: A system dynamics model","authors":"J. Ruiz-Meza, Ricardo Sotaquirá, J. Montoya-Torres","doi":"10.1080/17477778.2022.2102945","DOIUrl":"https://doi.org/10.1080/17477778.2022.2102945","url":null,"abstract":"","PeriodicalId":51296,"journal":{"name":"Journal of Simulation","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48510440","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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