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This paper aims to present a systematic review of the published literature on building information model (BIM)-based simulation tools used for occupant evacuation over the past 23 years.

A literature review was conducted on BIM-based simulation tools used for occupant evacuation over the past 23 years. The search identified a total of 37 relevant papers, which were reviewed. The paper describes the use of BIM-based simulation tools over the years and identifies the research gaps.

BIM-based simulation tools have undergone progressive development, with constant improvements through the integration of advanced tools and collection of more data. These tools can assist in identifying faults in the building design. The outcomes of the simulation were not entirely accurate, as real-life scenarios vary depending on the various building types and the behavior of their occupants.

This study contributes to the literature through reviewing the capabilities of BIM-based simulation tools and the different simulation methods along with their limitations.

Fire safety engineers and architects can comprehend the utilization of BIM-based simulation tools to enhance the fire evacuation in light of their shortcomings and flaws.

BIM-based simulation tools are becoming more advanced and widely used. There has not been a comprehensive evaluation of the capabilities of the integration of BIM tools and simulation modeling for occupant evacuation. This study guides researchers on the capabilities and efficiencies of integrated solutions for occupant evacuations and their inherent shortcomings. The study identifies future research areas in BIM-based tools for occupant evacuation.

This study aims to explore consumers' vicarious experience of touch, namely, mental simulation for touch, through product pictures as visual stimuli and the use of touch devices as motion stimuli in the context of online fashion shopping.

Participants were randomly exposed to one of the two texture conditions (weak vs strong tactile sensitivity). The responses from the participants who used a laptop as a non-touch device and a touch device were considered in the analysis. A total of 179 responses were analyzed with analysis of variance and the PROCESS procedure for path analysis using SPSS 20.0.

The interaction effects of tactile sensitivity and device types on mental simulation for touch were significant; seeing a less tactile-sensitive product facilitated a greater mental simulation for touch when using a touch device; however, seeing a tactile-sensitive product produced a similar mental simulation for touch, regardless of device types. Furthermore, browsing a less tactile-sensitive product using a touch device increased favorable product attitudes, fully mediated by mental simulation for touch.

This study contributes to the literature on online shopping behaviors of fashion consumers by showing the role of mental simulation for touch that is shaped by the tactile qualities of products and device types. Exploration of this topic can contribute significantly to online fashion retailers because studies on consumers' mental simulation for touch are limited.

This paper aims to understand what kind of fashion product picture can arouse greater embodied mental simulation at two distinct steps of consumers' shopping journey (choice between options and purchase intention).

Two experimental studies were developed. Study 1 (n = 169) investigated consumers' purchase intention, and Study 2 (n = 156) investigated consumers' choice for a T-shirt displayed in an e-commerce store. The authors manipulated the product picture by considering pictures with the presence or absence of a human model wearing the product (flat vs. mannequin vs. human model without a face vs. human model with a face).

Consumers demonstrated greater choice and purchase intention for the picture that aroused greater embodied mental simulation. Different pictures aroused greater embodied mental simulation depending on the consumer journey step (choice between two options or purchase intention). Perceived product attractiveness influenced this finding.

The data on men and women were analyzed together due to the low number of male participants in both studies.

The results suggest that mannequin pictures should be used in situations involving product evaluation (e-commerce categories' pages) and that pictures with human models should be used in situations entailing further analysis of the product (e-commerce product page) to encourage purchase decisions. E-commerce managers also need to use pictures of human models when the product is viewed as less attractive.

This research investigated embodied mental simulation around product pictures at two distinct steps of consumers' shopping journey.

This paper aims to propose a simulation-based performance evaluation model for the drone-based delivery of aid items to disaster-affected areas. The objective of the model is to perform analytical studies, evaluate the performance of drone delivery systems for humanitarian logistics and can support the decision-making on the operational design of the system – on where to locate drone take-off points and on assignment and scheduling of delivery tasks to drones.

This simulation model captures the dynamics and variabilities of the drone-based delivery system, including demand rates, location of demand points, time-dependent parameters and possible failures of drones’ operations. An optimization model integrated with the simulation system can update the optimality of drones’ schedules and delivery assignments.

An extensive set of experiments was performed to evaluate alternative strategies to demonstrate the effectiveness for the proposed optimization/simulation system. In the first set of experiments, the authors use the simulation-based evaluation tool for a case study for Central Florida. The goal of this set of experiments is to show how the proposed system can be used for decision-making and decision-support. The second set of experiments presents a series of numerical studies for a set of randomly generated instances.

The goal is to develop a simulation system that can allow one to evaluate performance of drone-based delivery systems, accounting for the uncertainties through simulations of real-life drone delivery flights. The proposed simulation model captures the variations in different system parameters, including interval of updating the system after receiving new information, demand parameters: the demand rate and their spatial distribution (i.e. their locations), service time parameters: travel times, setup and loading times, payload drop-off times and repair times and drone energy level: battery’s energy is impacted and requires battery change/recharging while flying.

Existing literature points out that conventional educational modes are not sufficiently motivational for students. Concurrently, the contemporary society requires awareness of sustainability within project management. The purpose of this paper is to investigate how the use of simulations in project management education can positively impact students’ awareness of sustainability and enhance their ability to navigate projects in a sustainable way.

Experiment where 26 experienced professionals with different backgrounds engaged in three extensive project management simulations with sustainable aspects and participated in pre- and post-assessments.

Our research shows that simulations have a high potential for enhancing learning on project management with sustainable aspects. We conclude that simulations can significantly contribute to enhancing student awareness of sustainability. This is through directly confronting them with three areas in which sustainability impacts project management, that is the management of environmental, social, and economic aspects; through handling opportunities, complexities, and adaptability; and by assuming responsibility for sustainable development in the simulation case.

We have shown that simulations – as a part of project management education – are highly likely to augment students' capacity to navigate their projects in a sustainable way.

This paper offers results of an empirical study on simulations as a means to create awareness of ability to navigate projects in a sustainable way. The paper provides extensive qualitative statements from participants, and thereby gives the reader insights into the raw data leading to insightful conclusions for the field of project management education.

Higher education institutions are undergoing a change in their teaching–learning practices, with the core goal of giving students the necessary skills and competencies to succeed in a complex and uncertain society. This study aims to evaluate the effectiveness of business simulation as a pedagogical strategy for teaching 21st-century competencies to undergraduate students. The study looks at students’ self-perception on how business simulation impacts future skills such as entrepreneurship, employability and sustainability.

The research incorporates a one-week workshop for undergraduate business students using AnyLogic business simulation. For this study, a 24-item skills-based survey was used as the instrument for eliciting input about students’ self-perceptions. To measure the impact of business simulation on overall student learning, a theoretical framework was developed and tested using SmartPLS version 4 for construct reliability, validity and hypotheses testing.

Based on the students’ feedback, the finding shows that most of the 24 soft skills were facilitated by the business simulation used. The simulation significantly affects the development of entrepreneurial and employable skills. On the contrary, it has little effect on enhancing sustainability skills. In addition, the study suggests that factors like gender and expertise had little overall impact on the results.

The most apparent practical implication of this study is that business schools should focus more on skill development by stressing on experiential teaching methods like business simulation to help students build various skills and become more prepared for the actual world of business.

The research presents fresh empirical data that add to the continuing discussion on active learning in business education and assist educators in avoiding some potential drawbacks of these innovative teaching techniques. With the right direction and criticism throughout the simulation, this learning experience has shown to be useful for everyone involved.

Motivated by recent research indicating that the operational performance of an enterprise can be enhanced by building a supporting data-driven environment in which to operate, this paper presents a simulation framework that enables an examination of the effects of applying smart manufacturing principles to conventional production systems, intending to transition to digital platforms.

To investigate the extent to which conventional production systems can be transformed into novel data-driven environments, the well-known constant work-in-process (CONWIP) production systems and considered production sequencing assignments in flowshops were studied. As a result, a novel data-driven priority heuristic, Net-CONWIP was designed and studied, based on the ability to collect real-time information about customer demand and work-in-process inventory, which was applied as part of a distributed and decentralised production sequencing analysis. Application of heuristics like the Net-CONWIP is only possible through the ability to collect and use real-time data offered by a data-driven system. A four-stage application framework to assist practitioners in applying the proposed model was created.

To assess the robustness of the Net-CONWIP heuristic under the simultaneous effects of different levels of demand, its different levels of variability and the presence of bottlenecks, the performance of Net-CONWIP with conventional CONWIP systems that use first come, first served priority rule was compared. The results show that the Net-CONWIP priority rule significantly reduced customer wait time in all cases relative to FCFS.

Previous research suggests there is considerable value in creating data-driven environments. This study provides a simulation framework that guides the construction of a digital transformation environment. The suggested framework facilitates the inclusion and analysis of relevant smart manufacturing principles in production systems and enables the design and testing of new heuristics that employ real-time data to improve operational performance. An approach that can guide the structuring of data-driven environments in production systems is currently lacking. This paper bridges this gap by proposing a framework to facilitate the design of digital transformation activities, explore their impact on production systems and improve their operational performance.

Metro stations have become a crucial aspect of urban rail transportation, integrating facilities, equipment and pedestrians. Impractical physical layout designs and pedestrian psychology impact the effectiveness of an evacuation during a metro fire. Prior research on emergency evacuation has overlooked the complexity of metro stations and failed to adequately consider the physical heterogeneity of stations and pedestrian psychology. Therefore, this study aims to develop a comprehensive evacuation optimization strategy for metro stations by applying the concept of design for safety (DFS) to an emergency evacuation. This approach offers novel insights into the management of complex systems in metro stations during emergencies.

Physical and social factors affecting evacuations are identified. Moreover, the social force model (SFM) is modified by combining the fire dynamics model (FDM) and considering pedestrians' impatience and panic psychology. Based on the Nanjing South Metro Station, a multiagent-based simulation (MABS) model is developed. Finally, based on DFS, optimization strategies for metro stations are suggested.

The most effective evacuation occurs when the width of the stairs is 3 meters and the transfer corridor is 14 meters. Additionally, a luggage disposal area should be set up. The exit strategy of the fewest evacuees is better than the nearest-exit strategy, and the staff in the metro station should guide pedestrians correctly.

Previous studies rarely consider metro stations as sociotechnical systems or apply DFS to proactively reduce evacuation risks. This study provides a new perspective on the evacuation framework of metro stations, which can guide the designers and managers of metro stations.

The purpose of this study is to create an extended equivalent circuit model for a compound DC motor, consisting completely of electrical parameters and quantities.

The dynamic model of the compound DC motor is obtained by establishing the voltage equations for the armature and excitation circuit and the mechanical equation for the mechanical part. The mechanical parameters in the dynamic model are converted into electrical parameters with an electrical circuit proposed for the mechanical part. By combining the armature and excitation circuits with the electrical circuit created for the mechanical part, the extended equivalent circuit model of the compound DC motor is obtained. Because the proposed extended equivalent model is completely an electrical circuit, simulations can be made in the circuit simulation programme. Simulations of the proposed compound DC motor circuit were carried out, and the accuracy of the proposed circuit was verified by performing experimental studies with an existing compound motor.

When comparing speed and current profiles in experiments and simulations, it is seen that compound DC motor can be modelled with the proposed equivalent circuit including completely electrical elements in a simulation programme for the circuits. The results show that the proposed equivalent circuit satisfies the dynamic model of the compound motor.

In DC machine models, armature and excitation circuits are given as an electrical circuit, and mechanical part of the machine is modelled by only mechanical equations. The originality of this study is converting the dynamic model of an electrical machine consisting of electrical and mechanical equations into a completely electrical circuit. With the proposed method, the dynamic model of many motors can be converted into a completely electrical circuit. In this way, motors can be simulated as an electrical circuit in simulation programmes for the circuits, and the dynamic behaviour of motors can be obtained.

The changing clinical landscape in psychiatry, both before and after the pandemic, has impacted students’ direct contact with psychiatric patients. It is imperative, therefore, that medical education keeps pace with evolving clinical pathways to ensure that clinicians are always appropriately trained not just for common presentations but also for low-prevalence, high-risk situations. Simulated-based training is well established. However, it is not without its limitations, many of which could be overcome with the use of virtual simulation. This study aims to analyse the use of virtual simulation within medical education to train clinicians in psychiatric assessments.

A scoping review was undertaken with a comprehensive literature search of the six most relevant online peer-reviewed databases, including PubMed, PsycINFO, CINAHL, Medline, EMBASE and Cochrane. All published papers in English that discussed simulation in teaching psychiatric assessments were included.

Virtual patients can be used for educational, diagnostic and therapy purposes attributable to advances in speech-recognition technology. Virtual simulations are well received and positively affect clinicians’ knowledge and skill development. Educational faculties should consider using virtual simulation technologies to improve learning outcomes. Further studies should enhance the fidelity and quality of virtual assessment simulation situations, mainly focusing on the virtual patient’s empathy, gesturing and body language to enable this evidence-based tool to be used effectively and efficiently for the benefit of future patient care.

The changing clinical landscape in psychiatry, both before and after the pandemic, has impacted students’ direct contact with psychiatric patients. This scoping review has reviewed the use of virtual simulation-based education to train clinicians for psychiatric assessments. To the best of the authors’ knowledge, this work has not been conducted before.