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A simheuristic algorithm for video streaming flows optimisation with QoS threshold modelled as a stochastic single-allocation p-hub median problem J. Simul. (IF 1.214) Pub Date : 2021-01-19 Stephanie Alvarez Fernandez; Daniele Ferone; Angel Juan; Daniele Tarchi
ABSTRACT Modern telecommunication networks are comprised of a countless number of nodes exchanging data among them. In particular, multimedia traffic – composed of audio, video, and images – represents a challenging scenario requiring link optimisation techniques. The hub-and-spoke topology is frequently used to design more effective telecommunication networks. This work considers a hub-and-spoke network
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Bringing AI to the edge: A formal M&S specification to deploy effective IoT architectures J. Simul. (IF 1.214) Pub Date : 2021-01-04 Román Cárdenas; Patricia Arroba; José L. Risco Martín
ABSTRACT Internet of Things applications are based on ubiquitous networks of multiple distributed devices, with limited computing resources and power, capable of collecting and storing data from heterogeneous sources in real-time. To avoid network saturation and delays, new architectures are needed to provide real-time Big Data and data analytics capabilities at the edge of the network, where energy
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On perishable inventory in healthcare: Random expiration dates and age discriminated demand J. Simul. (IF 1.214) Pub Date : 2020-12-21 Doraid Dalalah; Udechukwu Ojiako; Maxwell Chipulu
ABSTRACT The aim of the study is to explore how best to mitigate against inventory volatility in perishable inventory, which is characterized by random premature expiration, random demand, irregular supply, age differentiated demand and custom replenishment guidelines. Through the adoption of simulation-optimization along with new settings and replenishment policies, the optimized quantity level of
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Editorial: Special issue on Simulation in Transportation J. Simul. (IF 1.214) Pub Date : 2020-11-26 Gillian Harrison; Enzo Bivona; Rosaldo Rossetti
(2020). Editorial: Special issue on Simulation in Transportation. Journal of Simulation: Vol. 14, Simulation in Transportation, pp. 239-241.
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Mesoscopic discrete-rate-based simulation models for production and logistics planning J. Simul. (IF 1.214) Pub Date : 2020-11-12 Tobias Reggelin; Sebastian Lang; Christian Schauf
ABSTRACT This paper first summarises a survey of logistics and production planning engineers in the automotive industry on the use of simulation models to solve planning tasks in logistics and production conducted by the authors. As a solution for the analysed trade-off between a required quick provision of simulation results and a tolerable inaccuracy of the simulation results, the authors describe
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Using discrete event simulation to explore food wasted in the home J. Simul. (IF 1.214) Pub Date : 2020-11-08 Cansu Kandemir; Christian Reynolds; Quested Tom; Karen Fisher; Rachel Devine; Estelle Herszenhorn; S.C. Lenny Koh; David Evans
ABSTRACT Food waste is an issue of global importance. Households generate more food waste than any other source in high- and middle-income countries. There are many solutions to reduce household food waste, but measurement of the impact of each solution is costly, and therefore usually not undertaken. This is a major barrier to decision makers adopting the most effective solutions. Discrete event simulation
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A simulation model to improve the value of rice supply chain (A case study in East Java – Indonesia) J. Simul. (IF 1.214) Pub Date : 2020-10-25 Erma Suryani; Rully Agus Hendrawan; Isnaini Muhandhis; Rarasmaya Indraswari
ABSTRACT This study aimed to improve the value of the rice supply chain through the use of a system dynamics (SD) model. SD was used since it is able to accommodate internal and external factors that influence the value of the rice supply chain. The simulation results showed that increasing the value of the rice supply chain can be achieved by increasing the quantity and quality of the crop yield and
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From creativity to innovation and the role of competition networks: A cancer inspired two-step evolutionary agent-based model J. Simul. (IF 1.214) Pub Date : 2020-10-21 Afshin Jafari; S. Peyman Shariatpanahi; Mohammad Mahdi Zolfagharzadeh; Mahsa Abdollahyar; Maryam Sadeghipour
ABSTRACT Inspired by the evolutionary dynamics of cancer, an agent-based model for creativity-innovation transition process is proposed. In this analogy, cells are considered as agents (e.g., companies or individual innovators) which are interacting with each other through a competitive interaction network; cancer represents the innovation and the creativity-innovation process is considered to be analogous
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Model credibility revisited: Concepts and considerations for appropriate trust J. Simul. (IF 1.214) Pub Date : 2020-09-17 Levent Yilmaz; Bo Liu
The increasing reliance of modern science in computer simulation demands appropriate trust in simulation models for credible results. Because of its foundations in operations research, model credibility is conventionally viewed from the lens of numerical and transformational accuracy. However, the exploratory use of models in scientific discovery, causal explanation, and strategic decision-making render
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Forecasting the implications of foreign exchange reserve a ccumulation with a microsimulation model J. Simul. (IF 1.214) Pub Date : 2020-09-08 Ramis Khabibullin; Alexey Ponomarenko; Sergei Seleznev
We develop a stock-flow-consistent microsimulation model that comprises all relevant mechanisms of money creation and parametrise it to fit actual data. The model is used to make out-of-sample projections of broad money and credit developments under the commencement/termination of foreign reserve accumulation by the Bank of Russia. We use direct forecasts from the miscrosimulation model as well as
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Tourism, transport, and land use: a dynamic impact assessment for Kaohsiung’s Asia New Bay Area J. Simul. (IF 1.214) Pub Date : 2020-09-06 Chun-Yin Man; Oliver F. Shyr; Yi-Ya Hsu; Simon Shepherd; Han-Liang Lin; Chien-Hung Tu
This paper proposes a hybrid methodology for analysing the causal relations between public transportation development, tourism and land use by combining System Dynamics (SD) with Geographical Information Systems (GIS) and agent-based modelling (ABM). It is applied to illustrate the quantitative and spatial effect of the two phases Light Rail Transit (LRT) development in Asia New Bay Area, Kaohsiung
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An Integrated Simulation-Fuzzy Model for Preventive Maintenance Optimisation in Multi-Product Production Firms J. Simul. (IF 1.214) Pub Date : 2020-09-06 Ali Davari; Maliheh Ganji; Seyed Mojtaba Sajadi
Entrepreneurs’ need to manufacture quality products at a reasonable cost with the goal of enhancing their competitive edge in the market has led to an increase in the development and use of preventive maintenance (PM) systems. Consequently, PM is now recognized as one of the most effective solutions for reducing equipment failure frequency. This paper proposes a hybrid simulation-fuzzy model to address
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Use of simulation in the industry 4.0 context: Creation of a Digital Twin to optimise decision making on non-automated process J. Simul. (IF 1.214) Pub Date : 2020-09-06 Carlos Henrique dos Santos; José Antônio de Queiroz; Fabiano Leal; José Arnaldo Barra Montevechi
The advent of new technologies brings a significant impact on systems management. The Industry 4.0 looks for increasingly automated, integrated, and digitised processes. We highlight the use of simulation as a Digital Twin, a virtual and intelligent copy capable of mirroring real processes and optimise decision making. This paper analyses the applicability of the Discrete Event Simulation as a Digital
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MAS-based evaluation method of production performance for coal export terminals J. Simul. (IF 1.214) Pub Date : 2020-09-06 Benfei Zhu; Qiang Zhou; Yu Tian
Determining how to reasonably evaluate the production performance of bulk cargo terminals has always been a concern of the terminal managers. Aiming at the problem of production performance evaluation of the coal export terminals, this paper presents an evaluation method of production performance based on MAS (multi-agent system). A global simulation model of a typical export coal terminal is built
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Spatial impact of automated driving in urban areas J. Simul. (IF 1.214) Pub Date : 2020-09-06 Martijn F. Legêne; Willem L. Auping; Gonçalo Homem de Almeida Correia; Bart van Arem
Urban form develops in close feedback with different modes of transportation. The introduction and adoption of automated vehicles (AVs) are expected to have an impact on the development of cities as well, as the use of AVs may, for example, lead to more efficient road use and less need for parking spaces. In order to study those impacts, we developed a geospatially disaggregated system dynamics (SD)
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Spatial impact of automated driving in urban areas J. Simul. (IF 1.214) Pub Date : 2020-09-06 Martijn F. Legêne; Willem L. Auping; Gonçalo Homem de Almeida Correia; Bart van Arem
ABSTRACT Urban form develops in close feedback with different modes of transportation. The introduction and adoption of automated vehicles (AVs) are expected to have an impact on the development of cities as well, as the use of AVs may, for example, lead to more efficient road use and less need for parking spaces. In order to study those impacts, we developed a geospatially disaggregated system dynamics
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Tourism, transport, and land use: a dynamic impact assessment for Kaohsiung’s Asia New Bay Area J. Simul. (IF 1.214) Pub Date : 2020-09-06 Chun-Yin Man; Oliver F. Shyr; Yi-Ya Hsu; Simon Shepherd; Han-Liang Lin; Chien-Hung Tu
ABSTRACT This paper proposes a hybrid methodology for analysing the causal relations between public transportation development, tourism and land use by combining System Dynamics (SD) with Geographical Information Systems (GIS) and agent-based modelling (ABM). It is applied to illustrate the quantitative and spatial effect of the two phases Light Rail Transit (LRT) development in Asia New Bay Area,
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FACS: a geospatial agent-based simulator for analysing COVID-19 spread and public health measures on local regions J. Simul. (IF 1.214) Pub Date : 2020-08-20 Imran Mahmood; Hamid Arabnejad; Diana Suleimenova; Isabel Sassoon; Alaa Marshan; Alan Serrano-Rico; Panos Louvieris; Anastasia Anagnostou; Simon J E Taylor; David Bell; Derek Groen
ABSTRACT The recent Covid-19 outbreak has had a tremendous impact on the world, and many countries are struggling to help incoming patients and at the same time, rapidly enact new public health measures such as lock downs. Many of these decisions are guided by the outcomes of so-called Susceptible-Exposed-Infectious-Recovered (SEIR) models that operate on a national level. Here we introduce the Flu
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Simulation-based design of multi-period bus headways under the influence of electronic bus station boards J. Simul. (IF 1.214) Pub Date : 2020-08-18 Jie Yang; Lu Hu; Yangsheng Jiang; Tao Yang
This paper proposes a bi-objective multi-period bus headway setting problem while considering the influence of electronic bus station boards on passengers’ choice behaviour. A non-dominated sorting genetic algorithm II (NSGAII) based local search algorithm is developed to find the approximate Pareto front in terms of two objectives (i.e., expected average travel time of passengers and fleet size).
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Diffusion of competing rumours on social media J. Simul. (IF 1.214) Pub Date : 2020-08-18 Chaitanya Kaligotla; Enver Yücesan; Stephen E. Chick
This paper investigates the dynamics of communication on social media, related to the spread of rumours, by studying the impact of micro-level agent interactions within social media discussions, on macro-level outcomes related to the diffusion of rumours. An agent-based framework is used to model social media discussions, modularly describing heterogeneous agents with differentiating characteristics
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Effect of load bundling on supply Chain inventory management: An evaluation with simulation-based optimisation J. Simul. (IF 1.214) Pub Date : 2020-08-03 Thomas Felberbauer; Klaus Altendorfer; Andreas Josef Peirleitner
In this paper, the effect of load bundling on overall costs, service level, and CO$_2$ emissions is evaluated for a multi-stage, multi-item supply chain. A simulation-based optimisation approach is used to optimize the inventory management parameters reorder point and lot size. The optimisation approach consists of a simulation model and a metaheuristic search procedure, which is a subclass of the
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Simulation of the self-similar least-action walk model J. Simul. (IF 1.214) Pub Date : 2020-08-03 Adán G. Medrano-Chávez; Elizabeth Pérez-Cortés; Miguel Lopez-Guerrero
Simulation of ad hoc networks requires the use of a realistic human mobility model to give credibility to computer-based performance evaluations. To this end, a number of models have appeared in the literature from which the self-similar least-action walk model (SLAW) stands out as an approach mainly intended to incorporate several statistical properties of human motion. Although it is generally accepted
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Simulating the battery price and the car-mix in key electro-mobility markets via model coupling J. Simul. (IF 1.214) Pub Date : 2020-06-28 Jonatan J. Gómez Vilchez; Christian Thiel
ABSTRACT This paper describes the modelling process of soft-linking two system dynamics models of the automotive ecosystem: the Powertrain Technology Transition Market Agent model and the Transport, Energy, Economics, Environment model. The objective of this work is to explore future battery electric and plug-in hybrid electric powertrain deployment in key electro-mobility markets: China, European
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Effects of different types of imperfect advance demand information in production systems J. Simul. (IF 1.214) Pub Date : 2020-06-23 Sara Fischer; Ben Benzaman; Elizabeth Diegel; Mario Soriano Gimenez; David Claudio
One strategy to reduce inventories and increase on-time delivery is to use Advanced Demand Information (ADI) in which customers place their orders ahead of their due date. ADI can be divided into perfect or imperfect information. Under perfect ADI, customers send accurate demand information to the suppliers, specifying exact quantities and due dates. Under imperfect ADI, customer orders’ quantities
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Internal logistics flow simulation: A case study in automotive industry J. Simul. (IF 1.214) Pub Date : 2020-06-23 Marcelus Fabri; Helena Ramalhinho; Miquel Oliver; Juan Carlos Muñoz
This work focuses on internal logistics (IL), which is defined as the flows of materials inside the same business or the same plant. We centre on the IL activities of a car-assembling company. The main objective is to propose simulation models’ concepts that evaluate assembling lines under the IL point of view. We present a real case study based on SEAT S.A., a company in the Volkswagen group. We developed
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Load-balancing scheduling of simulation tasks based on a static-dynamic hybrid algorithm J. Simul. (IF 1.214) Pub Date : 2020-06-16 Xiashuang Wang; Ni Li; Guanghong Gong; Xiao Song; Yanqi Guo
A scheduling algorithm is crucial for running a simulation model so that tasks can be performed efficiently.The traditionally used blade-based parallel engine system cannot be adapted to a new simulation model. This study proposed a combined dynamic priority and static method, that is, a hybrid load-balancing scheduling (HLB) algorithm. The algorithm is given priority according to the operating cycle
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Agent-based model of the Russian banking system: Calibration for maturity, interest rate spread, credit risk, and capital regulation J. Simul. (IF 1.214) Pub Date : 2020-06-07 Maria Ermolova; Andrey Leonidov; Vladimir Nechitailo; Henry Penikas; Nikolay Pilnik; Ekaterina Serebryannikova
The Basel III regulation raised the minimum capital requirements for banks. However, its implementation may not have reduced systemic risks. Academicians investigating optimal banking regulations do not have a consensus on whether to increase or decrease capital requirements. Here, we use the agent-based approach to study capital regulation and its implications on the evolution of the banking system
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Model and simulation analysis for the reliability of the transportation network J. Simul. (IF 1.214) Pub Date : 2020-06-07 Hongyan Dui; Xiaoqian Zheng; Liwei Chen; Zhujun Wang
The reliability of the transportation network is studied by simulating the attack on the important edges. The important edges are deliberately attacked, and the impedance of the attacking edges is set to infinity. Then the influence of the characteristics of single failure edge on network reliability change and the influence of failure edge number on network reliability change are studied. Two test
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A framework for hybrid simulation of transportation networks J. Simul. (IF 1.214) Pub Date : 2020-06-04 Gabriel Gomes
This paper introduces a new approach to hybrid traffic modelling, along with its implementation in software. The software allows modellers to assign traffic models to individual links in a network. Each model is a plugin that implements a series of methods, referred to as the modelling interface. These methods are used by the program to exchange information between adjacent models. Traffic controllers
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From reactive towards anticipatory fishing agents J. Simul. (IF 1.214) Pub Date : 2020-06-02 Jens Koed Madsen; Richard Bailey; Ernesto Carrella; Philipp Koralus
Governing human-environmental ecosystems is a complex problem. Rule-based fisheries models are faced with several challenges. First, for large geographical problems like oceans, they require considerable time to find satisfactory solutions. Second, they tend to be reactive rather than anticipatory. Behavioural assumptions directly impact fishers’ capacity for adaptation and behaviour, which influences
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The effects of pre or post delay variable changes in discrete event simulation and combined DES/system dynamics approaches in modelling supply chain performance J. Simul. (IF 1.214) Pub Date : 2020-05-31 Tarek Al-Hawari; Ahmed Gailan Qasem; Hazem Smadi; Haneen Arauydah; Nader Al Theeb
Discrete Event Simulation (DES) is the main tool used in analyzing supply chains (SCs). In many simulation studies the effect of the modeling approach on SC performance is ignored. Many researches have overlooked the fact that in DES where events are the drivers of variable changes; the modeler has the option to change these variables pre or post delay event occurrence. In SCs this choice is critical
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Climate change adaptation in rural South Africa: Using stakeholder narratives to build system dynamics models in data-scarce environments J. Simul. (IF 1.214) Pub Date : 2020-05-27 Shane A. Carnohan; Jai K. Clifford-Holmes; Hugo Retief; Ursula S. McKnight; Sharon Pollard
The need for innovative systemic approaches for managing water resources that integrate natural and human dimensions is well established. Although systemic, participatory modelling has been shown to support stakeholder involvement and integrated analysis, the uptake within acrimonious, data-scarce contexts – especially in the developing world – is limited. This study details a process designed to address
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Modelling the impact of COVID-19 on elective waiting times J. Simul. (IF 1.214) Pub Date : 2020-05-27 Richard M Wood
ABSTRACT In an early stage of the COVID-19 outbreak, hospitals in England were asked to postpone elective treatments in order to accommodate the expected demand for COVID-19 related admissions. This study aims to forecast the extent to which waiting times could increase as a result of these measures, and estimate the level of effort required to restore performance to pre COVID-19 levels. A time-driven
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A pooled percentile estimator for parallel simulations J. Simul. (IF 1.214) Pub Date : 2020-05-21 Qiong Zhang; Bo Wang; Wei Xie
Percentile is an important risk measure quantifying the stochastic system random behaviours. This paper studies a pooled percentile estimator, which is the sample percentile of detailed simulation outputs after directly pooling independent sample paths together. We derive the asymptotic representation of the pooled percentile estimator and further prove its normality. By comparing with the classical
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Good practices and deficiencies in conceptual modelling: A systematic literature review J. Simul. (IF 1.214) Pub Date : 2020-05-18 Gustavo Teodoro Gabriel; Afonso Teberga Campos; Fabiano Leal; José Arnaldo Barra Montevechi
Conceptual modelling is a continuous and iterative process that is essential for simulation projects. However, it often does not receive due consideration. In this sense, many projects document and/or perform the conceptual modelling without following good practices, which ends up affecting the next stages of the simulation. This work aims to identify the state of the art and patterns of conceptual
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Rapid assessment and review of simulation modelling J. Simul. (IF 1.214) Pub Date : 2020-05-18 Paul Glover; Paul Pearce
ABSTRACT This paper describes a means of rapid assessment and review of simulation modelling through drawing upon the Evidence Framework Approach (EFA). The work described focuses on supporting reviewers of modelling, although the method can also be re-purposed to support modellers in the modelling process. The EFA has been used to review new ideas, several months of work, and several years of work
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Discrete-event simulation and scheduling for Mohs micrographic surgery J. Simul. (IF 1.214) Pub Date : 2020-05-14 Patrick Burns; Sailesh Konda; Michelle Alvarado
Mohs Micrographic Surgery (MMS) is a layer-by-layer, skin-saving surgical method for excising skin cancer. The number of excised layers is stochastic, which creates operational challenges for the clinic. We develop a discrete-event simulation of a MMS surgical clinic to investigate how appointment schedules impact clinic operations. The model simulates the patient flow for a single day with physician
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QTIP: Quick simulation-based adaptation of traffic model per incident parameters J. Simul. (IF 1.214) Pub Date : 2020-05-13 Inon Peled; Raghuveer Kamalakar; Carlos Lima Azevedo; Francisco C. Pereira
Current data-driven traffic prediction models are usually trained with large datasets, e.g., several months of speeds and flows. Such models provide very good fit for ordinary road conditions, but often fail just when they are most needed: when traffic suffers a sudden and significant disruption, e.g., a road incident. In this work, we describe QTIP: a simulation-based framework for quasi-instantaneous
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A multi-agent simulation of investment choice in the P2P lending market with bankruptcy risk J. Simul. (IF 1.214) Pub Date : 2020-05-13 Jiajia Liu; Jichang Dong
A challenge for investors in P2P lending marketplaces is to find an effective allocation of their funds across different loans by assessing the widespread collapse of lending platforms and each loan’s default risk. This paper investigates risk-averse/risk-tolerant/risk-neutral investors’ and borrowers’ transaction behaviours, as well as P2P lending platforms’ operating mechanism. A Heterogeneous Investors
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Discrete Event Systems Specifications Modelling and Simulation of Wireless Networking Applications J. Simul. (IF 1.214) Pub Date : 2020-04-28 Misagh Tavanpour; Baha Uddin Kazi; Gabriel Wainer
We discuss the use of formal discrete-event modelling and simulation for networking applications, in particular, for mobile networks and Wireless Sensor Networks (WSN). We show how one can develop discrete-event model libraries based on the DEVS formalism for mobile networks, allowing tracking the users’ upload status in a given area of coverage, while using a non-cooperative algorithm or Coordinated
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Eliciting agents’ behaviour using scenario-based questionnaire in agent-based dairy supply chain simulation J. Simul. (IF 1.214) Pub Date : 2020-04-26 D.S. Utomo; B.S.S. Onggo; S. Eldridge; A.R. Daud; S. Tejaningsih
A scenario-based questionnaire is a survey method that aims to identify the respondents’ decision rules using their responses to a series of scenarios. It is rarely used in agent-based modelling and simulation (ABMS) with most researchers preferring a survey with closed questions as the data collection method. This is particularly true for ABMS studies in agri-food supply chains. In our paper, we design
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Agent-based simulation for a regional guarantee circle crisis J. Simul. (IF 1.214) Pub Date : 2020-04-19 Ziqiang Tong; Pengxiang Li; Lei Yang; Haonan Wang
In view of the phenomenon of the guarantee network formed by the mutual guarantee of Chinese enterprises. First, the mechanism of crisis formation in regional guarantee circles is analysed through the network contagion effect, then the enterprise and guarantee model are constructed using the agent method. Second, the evolution rules of a regional guarantee circle crisis under different situations are
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How simulation modelling can help reduce the impact of COVID-19 J. Simul. (IF 1.214) Pub Date : 2020-04-15 Christine S.M. Currie; John W. Fowler; Kathy Kotiadis; Thomas Monks; Bhakti Stephan Onggo; Duncan A. Robertson; Antuela A. Tako
ABSTRACT Modelling has been used extensively by all national governments and the World Health Organisation in deciding on the best strategies to pursue in mitigating the effects of COVID-19. Principally these have been epidemiological models aimed at understanding the spread of the disease and the impacts of different interventions. But a global pandemic generates a large number of problems and questions
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Analysis and optimisation of perishable inventory with stocks-sensitive stochastic demand and two-stage pricing:A discrete event simulation study J. Simul. (IF 1.214) Pub Date : 2020-04-13 Yilin Zhang; Haibing Lu; Zhili Zhou; Zhen Yang; Shengjun Xu
This paper studies an important real-life perishable inventory management problem, which has not been properly addressed by the existing research. In the problem setting, a number of agents are renting spaces/shelves from a landlord, the inventory capability of each agent is limited to the rent space, and agents are risk-averse due to their budget. The objective is to maximize the profits of the agents/retailers
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EPCglobal network design using agent-based simulation J. Simul. (IF 1.214) Pub Date : 2020-03-30 Sojung Kim; Sung-Jo Hong
The goal of this study is to introduce a new design approach of the EPCglobal network considering activities of actors in a supply chain via agent-based simulation (ABS). The EPCglobal network provides track and trace services of shipments for internal and external subscribers, based on electronic product code (EPC) data generated from radio frequency identification (RFID) tags. To maintain dependable
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Improving the decision-making qualities of gaming simulations J. Simul. (IF 1.214) Pub Date : 2020-02-16 Bill Roungas; Femke Bekius; Alexander Verbraeck; Sebastiaan Meijer
ABSTRACT Gaming simulations (games) for policy and decision making have been the neglected “sibling” of educational and training games. The latter have experienced a widespread usage by practitioners and researchers, while the former have had limited, yet slowly increasing, adoption by organisations. As a result, various issues developing and using these games remain unaddressed. This includes the
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Bike3S: A tool for bike sharing systems simulation J. Simul. (IF 1.214) Pub Date : 2020-01-30 Alberto Fernández; Holger Billhardt; Sascha Ossowski; Óscar Sánchez
ABSTRACT Vehicle sharing systems are becoming increasingly popular. The effectiveness of such systems depends, among other factors, on different strategic and operational management decisions and policies, like the dimension of the fleet or the distribution of vehicles. It is of foremost importance to be able to anticipate and evaluate the potential effects of such strategies before they can be successfully
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Closing the academic achievement gap: A system dynamics study J. Simul. (IF 1.214) Pub Date : 2020-01-30 John J. Johnson IV; Jose J. Padilla; Saikou Y. Diallo
The academic achievement gap in the United States education system persists despite significant investments and efforts to correct it. Research reveals potential functions – priorities, readiness, expectation and motivation – performed by four stakeholders – students, teachers, schools and parents. A system dynamics simulation is proposed that captures the stakeholders and their functions to facilitate
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The Diffusion of Alternative Fuel Vehicles: A Generalised Model and Future Research Agenda J. Simul. (IF 1.214) Pub Date : 2020-01-10 David R. Keith; Jeroen J.R. Struben; Sergey Naumov
ABSTRACT The rapid decarbonisation of transportation is critical if global efforts to mitigate the worst possible impacts of anthropogenic climate change are to be successful. Transportation is a leading sectoral contributor of greenhouse gas emissions, and demand for transportation continues to grow globally. Alternative fuel vehicles (AFVs) powered by fuels such as electricity, hydrogen, and biofuels
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Can we learn from simplified simulation models? An experimental study on user learning J. Simul. (IF 1.214) Pub Date : 2020-01-09 Antuela A. Tako; Naoum Tsioptsias; Stewart Robinson
Simple models are considered useful for decision making, especially when decisions are made by a group of stakeholders. This paper describes an experimental study that investigates whether the level of model detail affects users’ learning. Our subjects, undergraduate students, were asked to solve a resource utilisation task for an ambulance service problem. They worked in groups under three different
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Near real-time bed modelling feasibility study J. Simul. (IF 1.214) Pub Date : 2019-12-29 Tracey England; Daniel Gartner; Edward Ostler; Paul Harper; Doris Behrens; John Boulton; Dilwyn Bull; Claire Cordeaux; Ian Jenkins; Fiona Lindsay; Rhys Monk; Leanne Watkins
Hospital bed management is crucial to ensure that patients do not have to wait for the right bed for their care. A simulation model has been developed that mimics the bed management rules applied to the Trauma & Orthopaedic wards of a busy Welsh hospital. The model includes forecasting methodologies to predict the number of emergency admissions, split by gender. The model uses near real-time admission
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Deterministic simulation and graphical representation of powered material handling vehicle movements to enhance pedestrian safety at the Ford Motor company J. Simul. (IF 1.214) Pub Date : 2019-12-23 M. Higgins; J. Ladbrook; G. Khalwadekar; M. Osman
A deterministic Material Flow Analysis (MFA) simulation tool has been developed within Microsoft Excel allowing the user to simply and quickly enter relevant material and logistics data. This data is then processed mathematically stepping through time in user-specified intervals assessing stock levels and vehicle status. The monitoring of the material flow in this manner provides data resolution that
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Long-term sustainability of clusters: A dynamic theory of declusterisation J. Simul. (IF 1.214) Pub Date : 2019-12-23 Elisabetta Marafioti; Edoardo Mollona; Fabrizio Perretti
In this paper, we build a System Dynamics simulation model to study the long-term counterintuitive consequences of internationalisation strategies of machinery producers in industrial clusters and proposes an explanation for declusterization. To test this hypothesis, we collected empirical data on declusterization and clusters’ exports towards newly industrialized countries, we formalised our hypotheses
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Simulations for urban taxi sharing system on routes and passengers with numerical experiments J. Simul. (IF 1.214) Pub Date : 2019-12-21 Hongyan Dui; Chi Zhang
Taxi sharing is an emerging transportation arrangement that helps improve the passengers’ travel efficiency and reduce costs. This study analyzes the simulations for an urban taxi sharing system on routes and passengers. Considering the impact of different congestion levels, the relationships between the congestion and cost are analyzed. Under the constraints of the number of passengers and their own
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SEECSSim: A toolkit for parallel and distributed simulations for mobile devices J. Simul. (IF 1.214) Pub Date : 2019-12-20 Fahad Maqbool; Asad Waqar Malik; Syed Meesam Raza Naqvi; Nadeem Ahmed; Gabriele D’Angelo; Imran Mahmood
Increase of the computing power on handheld devices has made these devices attractive for many applications including simulation systems. There are Parallel Discrete-Event Simulation (PDES) frameworks exists but most of these are designed for cluster systems, not suitable for battery operated devices. In this paper, the well- known Rensselaer’s Optimistic Simulation System (ROSS) framework has been
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A framework for evaluating the dynamic impacts of the Brazilian Urban Mobility Policy for transportation socioeconomic systems: A case study in Rio de Janeiro J. Simul. (IF 1.214) Pub Date : 2019-12-14 Wlisses B. Fontoura; Glaydston M. Ribeiro; Gisele De L. D. Chaves
ABSTRACT Transportation planning is necessary to meet the demand of a given region considering the dimensions of urban space and the complexity of the activities developed on it. In addition to planning, the government intervention through policies to provide an adequate flow of people and goods to meet population demand is also important. In Brazil, the Brazilian Urban Mobility Policy (BUMP) aims
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Simulation-based fuzzy-rough nearest neighbour fault classification and prediction for aircraft maintenance J. Simul. (IF 1.214) Pub Date : 2019-11-03 Yinling Liu; Tao Wang; Haiqing Zhang; Vincent Cheutet
This paper addresses the problem of Fault Classification and Prediction (FCP) without sufficient data in aircraft maintenance. An innovative approach based on Agent-Based Simulation System (ABSS) and the Fuzzy-Rough Nearest Neighbour (FRNN) method is proposed. To do so, a framework for integrating the FRNN approach into ABSS is firstly provided. The concept and architecture models of FRNN-ABSS are
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An agent-based model of school choice with information asymmetries J. Simul. (IF 1.214) Pub Date : 2019-10-31 Diego A. Díaz; Ana María Jiménez; Cristián Larroulet
Going from a neighbourhood-based to a choice-based system of school selection can have positive effects on enrolment in higher achievement schools, increasing average student achievement. We develop an Agent-Based model (ABM) that simulates students’ decisions on a heterogeneous agents’ framework with information asymmetries between income levels, allowing to simulate school choice policies and determine
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A simheuristic algorithm for the capacitated location routing problem with stochastic demands J. Simul. (IF 1.214) Pub Date : 2019-10-30 Carlos L. Quintero-Araujo; Daniel Guimarans; Angel A. Juan
The capacitated location routing problem (CLRP) integrates a facility location problem with a multi-depot vehicle routing problem. We consider the CLRP with stochastic demands, whose specific values are only revealed upon reaching each customer. The main goal is to minimise the expected costs of: (i) opening facilities, (ii) using a fleet of vehicles, (iii) executing a routing plan, and (iv) applying
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Highlighting the archetypes of sustainability management by means of simple dynamics models J. Simul. (IF 1.214) Pub Date : 2019-10-20 Ilaria Perissi
In recent months, we are witnessing a global demonstration of people, predominantly young, spreading a clear message: “we must do something against climate change and do it immediately, the way we live is no longer sustainable”. Despite the urgency of the actions most of the people are not expert in sustainability, thus it is not always trivial to identify the effectiveness of any action, promoted
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