Simulation Modelling Practice and Theory最新文献

{"title":"How resilient is your emergency department to inflow surges? A novel multidimensional framework for resilience enhancement","authors":"Eman Ouda,&nbsp;Andrei Sleptchenko,&nbsp;Mecit Can Emre Simsekler","doi":"10.1016/j.simpat.2025.103105","DOIUrl":"10.1016/j.simpat.2025.103105","url":null,"abstract":"<div><div>Emergency Departments (EDs) encounter numerous operational challenges, uncertainties, and sudden surges in patient arrivals, often resulting in overcrowding. This overcrowding can impact patient outcomes, staff satisfaction, and the overall functionality of the system. Therefore, it is crucial to strengthen the resilience of these departments in the face of such uncertainties. In this study, we aim to identify the key factors contributing to ED overcrowding and develop a comprehensive hierarchical multidimensional resilience model. This model categorizes the components of three crowding assessment tools: NEDOCS, EDWIN, and READI, into two main categories, recoverability and resistance. The proposed approach demonstrates promising results as we apply it to examine three case studies using Discrete Event Simulation (DES). The subsequent phase involves providing strategic recommendations to improve the ED’s performance and serves as a valuable tool for proactive system failure prevention. These recommendations encompass augmenting available resources and optimizing patient pathways, all aimed at enhancing the ED’s ability to operate effectively. Our findings underscore the accuracy of the DES model in predicting the ED system’s performance under various conditions, ranging from normal patient influx scenarios to high patient influx scenarios. This generalizable hierarchical resilience model aids decision-makers in comprehending system factors for better resource allocation and management decisions.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"142 ","pages":"Article 103105"},"PeriodicalIF":3.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using blockchain technology in the computer simulation of logistics processes","authors":"Gabriel Fedorko ,&nbsp;Martin Kostovčík ,&nbsp;Nikoleta Mikušová ,&nbsp;Hana Neradilová ,&nbsp;Vieroslav Molnár ,&nbsp;Martin Ďuriška","doi":"10.1016/j.simpat.2025.103104","DOIUrl":"10.1016/j.simpat.2025.103104","url":null,"abstract":"<div><div>Blockchain became known to the public in connection with the development of cryptocurrencies. However, blockchain and blockchain technology have much greater possibilities for use within various areas. One of these areas is computer simulation in supply chain and logistics. Integrating the simulation model into the blockchain can present the connection between logistics and blockchain applications. The base of the study was a simulation model of a production line modelled on the logistics principle. The primary goal of this study is to use the blockchain to record, store and verify the authenticity of the simulation model of the logistics process associated with supply in the production process. It is a solution with significant application possibilities through active work with the simulation model and its frequent supply chain and logistics modifications. At the same time, this functionality could be directly integrated into simulation tools in the future. The study confirmed that the simulation model and the results of simulation experiments can be securely written and stored in the blockchain, ensuring their validity, verifiability and trustworthiness. The obtained results in the form of verification of the recording of the simulation model in the blockchain, the use of the blockchain for the validation of the simulation model and the possibility of its download create a prerequisite for its application extension to the field of computer simulation for logistics and application fields of logistics.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"142 ","pages":"Article 103104"},"PeriodicalIF":3.5,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental and numerical modal analysis of an unmanned aerial vehicle's composite wing","authors":"Maciej Milewski ,&nbsp;Jakub Wróbel ,&nbsp;Artur Kierzkowski ,&nbsp;David Vališ","doi":"10.1016/j.simpat.2025.103106","DOIUrl":"10.1016/j.simpat.2025.103106","url":null,"abstract":"<div><div>This paper investigates the structural dynamics of a UAV composite wing through FEM simulations and experimental modal analysis, aiming to replace traditional experimental testing in UAV structural evaluations. The simulations, performed with Ansys Composite Prep/Post (ACP), model each composite layer with specific fiber orientations, material properties, and thickness. Experimental tests, utilizing a shaker for excitation and an accelerometer for response measurement, were conducted on the aircraft in the frequency range of 0 to 1100 Hz, targeting operationally relevant harmonic frequencies. A comparative analysis between simulation and experimental results identifies sources of discrepancies, particularly in critical low-frequency modes essential for UAV performance. The study highlights how simplifications in the FEM model, such as excluding control surfaces and assuming material homogeneity, impact simulation accuracy. The paper concludes by outlining directions for further research, stressing the need to refine FEM models and enhance composite material representations to improve UAV reliability and simulation accuracy.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"142 ","pages":"Article 103106"},"PeriodicalIF":3.5,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation modeling and analysis of the inpatient surgical department in a university hospital","authors":"Lien Wang ,&nbsp;Erik Demeulemeester","doi":"10.1016/j.simpat.2025.103103","DOIUrl":"10.1016/j.simpat.2025.103103","url":null,"abstract":"<div><div>In hospitals, the operating rooms (ORs) are not only the most expensive resource but also the largest source of revenues. However, efficiently scheduling ORs is challenging especially for an inpatient surgical department where complex and long surgeries from different surgical disciplines are often performed in combination with surgeries on emergency patients. Simulation is a potentially useful and flexible approach for addressing such complicated, stochastic and dynamic healthcare systems. This paper aims to develop a versatile decision model that provides an accurate analysis to help the decision-making of the hospital in efficiently planning OR capacity and scheduling surgeries. Based on the data collection from a University hospital, we build a discrete event simulation model for this department that considers many realistic characteristics of the hospital. Model verification and validation are performed and the result confirms that the model could reproduce various performance measures at the hospital. Finally, experiment design and result analysis are conducted to investigate the effect of different capacity and demand scenarios. Our simulation-based approach allows operating room managers to test potential changes in operating room management without disrupting the ongoing workflow.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"142 ","pages":"Article 103103"},"PeriodicalIF":3.5,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative analysis of hypervisor efficiency and energy consumption in heterogeneous multi-VM environments with varied server workloads","authors":"Mohammad A. Altahat,&nbsp;Khaldoon Mhaidat,&nbsp;Osama Al-Khaleel","doi":"10.1016/j.simpat.2025.103102","DOIUrl":"10.1016/j.simpat.2025.103102","url":null,"abstract":"<div><div>Maximizing resource utilization and throughput is critical in modern data centers. Virtualization enables multiple virtual machines (VMs) to run on a single host via a hypervisor, but its impact on performance and energy efficiency remains a key consideration. This study evaluates the power consumption and throughput of various hypervisors under different workloads to assist system administrators in optimizing configurations. Experimental results show that Xen has the highest power consumption (86.1 Wh, Varmail), while KVM is the most efficient (60.5 Wh). Xen achieves the highest throughput (8579 ops/s), significantly outperforming KVM (17<span><math><mo>×</mo></math></span>) and vSphere (5<span><math><mo>×</mo></math></span>). Additionally, CentOS VMs exhibit higher throughput on Xen, while Ubuntu VMs perform better on vSphere ESXi. This analysis provides valuable insights for selecting the best operating system, hypervisor, and workload setup, helping to strike a balance between performance and energy efficiency.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"141 ","pages":"Article 103102"},"PeriodicalIF":3.5,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of torsional social force model for pedestrian dynamics in corner navigation: Insights from empirical observations","authors":"Lin Luo ,&nbsp;Cheng Chen ,&nbsp;Tianyu Qin ,&nbsp;Qi Huang ,&nbsp;Xiaobo Liu","doi":"10.1016/j.simpat.2025.103101","DOIUrl":"10.1016/j.simpat.2025.103101","url":null,"abstract":"<div><div>Empirical observations show that both corridor width and departure position—defined by the distance from the inner corner—significantly affect pedestrian turning dynamics, such as turning position, speed, and angular speed. However, these factors are often overlooked in existing models. To address this gap, we developed an improved Torsional Social Force Model (TSFM) based on controlled experiments. Experiments involved individual and group navigation in angled corridor with widths of 1.5, 2.0, 2.5, and 3.0 m, with participants departing from various positions. Data from individual navigation in a 2.0 m corridor were used for model development, while data from other widths and group navigation validated the model. The TSFM represents pedestrians as spherocylinders, where movement is driven by force components and turning by torque components. Unlike traditional models with fixed turning axes and constant angular speeds, the TSFM integrates spatially variable turning start and end positions, angular speed and speed profiles, and turning axis distributions into its forces and torque calculations. Validation results show the TSFM significantly outperforms classic social force models (SFMs). It reduces the trajectory mean squared error from 0.45 m² to 0.03 m², and decreases travel time errors from &gt;15 % to &lt;5 %. Averaged speed error decreases from 25.9 % to 8.0 %, and angular speed error from 11.2 % to 4.1 %. The TSFM demonstrates superior accuracy in capturing turning dynamics during corner navigation.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"141 ","pages":"Article 103101"},"PeriodicalIF":3.5,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Petri Net-based framework for modeling and simulation of resource scheduling policies in Edge Cloud Continuum","authors":"Christoforos Vardakis,&nbsp;Ioannis Dimolitsas,&nbsp;Dimitrios Spatharakis,&nbsp;Dimitrios Dechouniotis,&nbsp;Anastasios Zafeiropoulos,&nbsp;Symeon Papavassiliou","doi":"10.1016/j.simpat.2025.103098","DOIUrl":"10.1016/j.simpat.2025.103098","url":null,"abstract":"<div><div>The emergence of new technologies of 5G/6G networks and the Internet of Things (IoT) drives the transition from traditional Cloud Computing systems to the Edge Cloud Continuum — an interconnected distributed computing environment. Deploying modern applications in such a complex setting poses significant challenges for efficient dynamic resource management. Besides their several benefits, current orchestration platforms disregard aspects such as the dynamic behavior of applications’ demands, heterogeneity of the infrastructure’s resources, and the overall complexity when dealing with interdependent resource allocation decision parameters. The Digital Twin concept envisions assisting application deployments not only by providing offline simulations for experimental assessment in multi-cluster settings but also by actively guiding the orchestration process. In this paper, we aim to provide a modeling and simulation framework to optimize the performance of the underlying infrastructure in terms of resilience and sustainability. We investigate the application of automata theory to model such systems by analyzing their possible states, specifically, using Petri Nets, a mathematical framework for representing discrete event systems, as the primary modeling tool. Therefore, a comprehensive modeling approach is presented to simulate the resource scheduling decisions of an established multi-cluster framework, namely Karmada. Moreover, through this Petri Net modeling approach, we can efficiently optimize the performance of the orchestration process considering the power consumption and workload load balancing of a multi-cluster topology. Extensive evaluation indicates the efficacy of the proposed framework in accurately approximating Karmada’s behavior for various scheduling policies. Also, the proposed framework is capable of assessing the performance of several scheduling policies and guiding the system towards efficient resource management in complex scenarios, exploiting the polynomial complexity of the Petri Net to identify scheduling states.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"141 ","pages":"Article 103098"},"PeriodicalIF":3.5,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing communication policies in cooperative multi-agent reinforcement learning for traffic signal control: A simulation-based study","authors":"Sofiene Abidi,&nbsp;Philippe Mathieu,&nbsp;Antoine Nongaillard","doi":"10.1016/j.simpat.2025.103100","DOIUrl":"10.1016/j.simpat.2025.103100","url":null,"abstract":"<div><div>Traffic signal control (TSC) poses a significant challenge in intelligent transportation systems and has been addressed using multi-agent reinforcement learning (MARL). While centralized approaches are often impractical for large-scale TSC problems, decentralized approaches offer scalability but introduce new challenges, such as partial observability. Communication plays a crucial role in decentralized MARL, as agents must exchange information through messages to understand the system better and achieve effective coordination. Deep MARL has been applied, where multiple interacting agents share a common environment. However, many proposed deep MARL communication policies for TSC allow agents to communicate with all other agents and share global state. This can contribute to system noise and degrade overall performance since real-time global information sharing is impractical due to communication latency. This paper employs simulation-based approaches to assess the effectiveness of diverse information-sharing strategies to enhance overall system performance based on Cooperative Deep Q-Network (Co-DQN). Simulation experiment results suggest that the lack of a suitable sharing policy to provide a representative observation of the real state appears to affect performance more drastically than changes to the underlying traffic patterns.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"141 ","pages":"Article 103100"},"PeriodicalIF":3.5,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A simulation approach with heuristic rules for reliability estimation of two-terminal multi-state networks based on minimal cuts and parallel computations","authors":"Paweł Marcin Kozyra","doi":"10.1016/j.simpat.2025.103095","DOIUrl":"10.1016/j.simpat.2025.103095","url":null,"abstract":"<div><div>Both the system reliability and the resilience evaluation of multi-state flow networks (MFNs) play a crucial role in designing and analyzing these networks. The system reliability at level <span><math><mi>d</mi></math></span> is the probability of successfully transmitting at least <span><math><mi>d</mi></math></span> units of flow. In turn, system resilience allows us to analyze the ability of systems to withstand and bounce back from disruptive events. The paper presents a new simulation approach based on minimal cuts (MCs) and parallel computations to compute the system reliability for all possible non-integer levels. An extension with a time attribute is also considered to investigate the reliability degradation with time. Moreover, it also introduces a novel heuristic that for a given integer <span><math><mi>K</mi></math></span> and a state vector <span><math><mi>x</mi></math></span>, finds an MC for which the capacity under the system state <span><math><mi>x</mi></math></span> is the smallest among MCs containing some of <span><math><mi>K</mi></math></span> coordinates of <span><math><mi>x</mi></math></span> with the smallest capacities. It is also shown how this approach can be used to compute the network resilience at a given time and the system integrated resilience metric is introduced. Numerical experiments are conducted to demonstrate the efficiency and advantages of the presented algorithm.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"141 ","pages":"Article 103095"},"PeriodicalIF":3.5,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"B2RAM: Design and practical implementation of a secured information management framework for dynamic resource allocation using a novel 2-Tier blockchain model","authors":"Tamal Chakraborty ,&nbsp;Abhinav Ashish ,&nbsp;Priyanshu Das ,&nbsp;Satyajeet Jha ,&nbsp;Debanik Saha ,&nbsp;Sumit Kumar Shahi","doi":"10.1016/j.simpat.2025.103096","DOIUrl":"10.1016/j.simpat.2025.103096","url":null,"abstract":"<div><div>Resource allocation problems involve the intricate task of equitably and consistently distributing typically limited resources among competing clients, all while dealing with the issues of fairness, starvation, scalability and deadlock. The effectiveness of these solutions hinges on a secure and transparent underlying information flow model, ensuring timely and synchronized exchange of information about resource usage among the clients. Both centralized and distributed system architectures present their own challenges when devising such information flow strategies for optimal resource allocation. This paper efficiently addresses the constraints inherent in resource allocation and the associated information flows within a hybrid system-of-systems framework. It further integrates both distributed and centralized models while maintaining an optimal trade-off between the computational and communication costs. In this context, a secure and transparent information management framework is proposed, leveraging a novel 2-Tier blockchain model — B2RAM. The first Tier establishes a consortium blockchain within a distributed network, while the second Tier creates multiple private blockchain networks in centralized client–server models. Together, these two tiers establish a distinctive resource allocation policy that engages both cooperative and competitive users, further incorporating a novel dual-token model and resource ranking strategy. Extensive performance evaluation facilitates fine-tuning of B2RAM through parameter configurations and enhancement strategies. This not only refines its performance but also solidifies its superiority over existing models like greedy, Markov, prediction, random, and rank-based approaches. Finally, practical applicability of B2RAM is established through its implementation in Cognitive Radio Networks, where the operational feasibility is ensured through successful test-bed design and execution using a modular system framework.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"141 ","pages":"Article 103096"},"PeriodicalIF":3.5,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}