Serious Gaming of Logistics Management in Pediatric Emergency Medicine

Zhang, Cevin; Härenstam, Karin Pukk; Meijer, Sebastiaan; Darwich, Adam S.

doi:10.17083/ijsg.v7i1.334

Cited by 7 publications

(5 citation statements)

References 40 publications

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“…The authors propose an approach to create a game called "Learn to Lead," which aims to teach leadership skills to young people. Zhang et al (2020) presents the design and evaluation of a serious game aimed at improving logistics management in paediatric emergency medicine. The game, called "Paediatric Logistic Game" uses a DES approach to teach medical professionals how to manage patient flow and resource allocation.…”

Section: Related Workmentioning

confidence: 99%

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

El Raoui,

Quigley,

Aslan

et al. 2023

2023 Winter Simulation Conference (WSC)

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Conventional methods used to elicit risk-taking preferences have demonstrated significant disparities with real-world behaviours, compromising the validity of the data collected. Serious gaming (SG) provides a high potential to bridge this gap. This paper presents a serious game as a novel approach to elicit risk-preference in an industrial manufacturing context, focusing on the game-design and implementation using hybrid simulation modelling. The developed SG serves as a tool for conducting incentivized experiments aimed at assessing human behaviour towards risk, to inform policy recommendations. The game incorporates two influential factors in shaping risk-taking behaviour in a manufacturing environment, namely the social learning and production pressure and use a variety of game mechanics to promote the players' motivation and engagement. A usability study was conducted with 10 participants using the Usability Scale System (SUS) to identify problems in the usability of the game. Results have shown that our game has a good usability. INTRODUCTIONUnderstanding the risk-taking behaviour of workers in manufacturing sites can inform decision-making, help organizations to select the best strategies for improving the safety, and correct the deviant behaviour. This highlights the need for data on human decisions to engage in a risk-taking behaviour.Economists and psychologists have developed a variety of experimental methodologies to elicit individual's attitudes towards risk. The existing elicitation methods differs in their level of complexity. Simple elicitation methods such as Balloon Analogue Risk Task (BART) (Lejuez et al. 2002) has also been used in investigating risk attitudes across various domains (Fecteau et al. 2007;Hunt et al. 2005). Although, the applicability of risk preferences elicited through this method to other domains is uncertain. Questionnaires

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Section: Related Workmentioning

confidence: 99%

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

El Raoui,

Quigley,

Aslan

et al. 2023

2023 Winter Simulation Conference (WSC)

View full text Add to dashboard Cite

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“…It can be used to facilitate learning and training in the areas noted previously. During COVID-19, the patient’s condition, exercise, and other activities can be carried through serious gaming, which is very useful for COVID-19 patients [ 78 , 79 ].…”

Section: Smart Technologies Of Iot Based Healthcare Systems For Covid-19mentioning

confidence: 99%

Application of Internet of Things and Sensors in Healthcare

Al-kahtani

Khan

Taekeun

2022

Sensors

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The Internet of Things (IoT) is an innovative technology with billions of sensors in various IoT applications. Important elements used in the IoT are sensors that collect data for desired analyses. The IoT and sensors are very important in smart cities, smart agriculture, smart education, healthcare systems, and other applications. The healthcare system uses the IoT to meet global health challenges, and the newest example is COVID-19. Demand has increased during COVID-19 for healthcare to reach patients remotely and digitally at their homes. The IoT properly monitors patients using an interconnected network to overcome the issues of healthcare services. The aim of this paper is to discuss different applications, technologies, and challenges related to the healthcare system. Different databases were searched using keywords in Google Scholar, Elsevier, PubMed, ACM, ResearchGate, Scopus, Springer, etc. This paper discusses, highlights, and identifies the applications of IoT healthcare systems to provide research directions to healthcare, academia, and researchers to overcome healthcare system challenges. Hence, the IoT can be beneficial by providing better treatments using the healthcare system efficiently. In this paper, the integration of the IoT with smart technologies not only improves computation, but will also allow the IoT to be pervasive, profitable, and available anytime and anywhere. Finally, some future directions and challenges are discussed, along with useful suggestions that can assist the IoT healthcare system during COVID-19 and in a severe pandemic.

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“…e Internet of ings is a major advance in the history of modern information technology. After the transformation of business processes, the Internet of ings can be fully realized, securely transmitted, and intelligently processed [12,13].…”

Section: Changes In the External Environment Of Logistics Companiesmentioning

confidence: 99%

Intelligent Logistics Enterprise Management Based on the Internet of Things

2022

Mathematical Problems in Engineering

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At this stage, many large domestic logistics companies have problems such as complex processes, low efficiency, and chaotic vehicle management. This usually leads to vehicle failure, material loss, or improper installation of the company’s factory, which affects the company’s interests and damages the company’s reputation. In response to the above problems, this article proposes, designs, and implements an intelligent logistics management system based on the Internet of Things technology through the research of the Internet of Things technology at home and abroad. The specific content is as follows: one is to study the origin and current situation of the Internet of Things technology at home and abroad, to understand related theories and cutting-edge technologies of the Internet of Things; the other is to imitate intelligent logistics companies, study the processes and existing problems of the logistics link, and integrate the management concepts of the Internet of Things. A model of intelligent logistics enterprise management is established with enterprise intelligent technology; the third is to conduct an experiment on the management of an intelligent logistics enterprise and do an experimental data analysis of the management of an intelligent logistics enterprise. Experimental research shows that the data of factors affecting logistics operations in smart logistics companies are low, and smart logistics companies are operating in good condition, and the established data model is suitable for smart logistics enterprise management. The Internet of Things and intelligent logistics management are both emerging concepts, while the intelligent logistics management based on the Internet of Things is still in its infancy, and relevant scholars have little research on the intelligent logistics management based on the Internet of Things. It plays a guiding role for the intelligent logistics management of enterprises and promotes the management of intelligent logistics enterprises.

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Serious Gaming of Logistics Management in Pediatric Emergency Medicine

Cited by 7 publications

References 40 publications

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

Design of a Serious Game for Safety in Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences

Application of Internet of Things and Sensors in Healthcare

Intelligent Logistics Enterprise Management Based on the Internet of Things

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