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Article
Publication date: 15 November 2022

Matthew Powers and Brian O'Flynn

Rapid sensitivity analysis and near-optimal decision-making in contested environments are valuable requirements when providing military logistics support. Port of…

Abstract

Purpose

Rapid sensitivity analysis and near-optimal decision-making in contested environments are valuable requirements when providing military logistics support. Port of debarkation denial motivates maneuver from strategic operational locations, further complicating logistics support. Simulations enable rapid concept design, experiment and testing that meet these complicated logistic support demands. However, simulation model analyses are time consuming as output data complexity grows with simulation input. This paper proposes a methodology that leverages the benefits of simulation-based insight and the computational speed of approximate dynamic programming (ADP).

Design/methodology/approach

This paper describes a simulated contested logistics environment and demonstrates how output data informs the parameters required for the ADP dialect of reinforcement learning (aka Q-learning). Q-learning output includes a near-optimal policy that prescribes decisions for each state modeled in the simulation. This paper's methods conform to DoD simulation modeling practices complemented with AI-enabled decision-making.

Findings

This study demonstrates simulation output data as a means of state–space reduction to mitigate the curse of dimensionality. Furthermore, massive amounts of simulation output data become unwieldy. This work demonstrates how Q-learning parameters reflect simulation inputs so that simulation model behavior can compare to near-optimal policies.

Originality/value

Fast computation is attractive for sensitivity analysis while divorcing evaluation from scenario-based limitations. The United States military is eager to embrace emerging AI analytic techniques to inform decision-making but is hesitant to abandon simulation modeling. This paper proposes Q-learning as an aid to overcome cognitive limitations in a way that satisfies the desire to wield AI-enabled decision-making combined with modeling and simulation.

Details

Journal of Defense Analytics and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2399-6439

Keywords

Article
Publication date: 18 November 2022

Norman Haussmann, Robin Mease, Martin Zang, Steven Stroka, Hendrik Hensel and Markus Clemens

Magneto-quasi-static fields emanated by inductive charging systems can be potentially harmful to the human body. Recent projects, such as TALAKO and MILAS, use the…

Abstract

Purpose

Magneto-quasi-static fields emanated by inductive charging systems can be potentially harmful to the human body. Recent projects, such as TALAKO and MILAS, use the technique of wireless power transfer (WPT) to charge batteries of electrically powered vehicles. To ensure the safety of passengers, the exposing magnetic flux density needs to be measured in situ and compared to reference limit values. However, in the design phase of these systems, numerical simulations of the emanated magnetic flux density are inevitable. This study aims to present a tool along with a workflow, based on the Scaled-Frequency Finite Difference Time-Domain and Co-Simulation Scalar Potential Finite Difference schemes, to determine body-internal magnetic flux densities, electric field strengths and induced voltages into cardiac pacemakers. The simulations should be time efficient, with lower computational costs and minimal human workload.

Design/methodology/approach

The numerical assessment of the human exposure to magneto-quasi-static fields is computationally expensive, especially when considering high-resolution discretization models of vehicles and WPT systems. Incorporating human body models into the simulation further enhances the number of mesh cells by multiple millions. Hence, the number of simulations including all components and human models needs to be limited while efficient numerical schemes need to be applied.

Findings

This work presents and compares four exposure scenarios using the presented numerical methods. By efficiently combining numerical methods, the simulation time can be reduced by a factor of 3.5 and the required storage space by almost a factor of 4.

Originality/value

This work presents and discusses an efficient way to determine the exposure of human beings in the vicinity of wireless power transfer systems that saves computer simulation resources and human workload.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0332-1649

Keywords

Article
Publication date: 24 November 2022

Tobias Endress, Anton Pussep and Markus Schief

This study aims to investigate an integrated approach that stimulates engagement and interaction in the online learning environment. A simulation game was developed to…

Abstract

Purpose

This study aims to investigate an integrated approach that stimulates engagement and interaction in the online learning environment. A simulation game was developed to support the specific learning objectives (LOs) of the lecture and give students the opportunity to apply relevant practical skills (management and group decision-making). The simulation is designed to engage students, facilitate group work in teams and actively apply the knowledge from the lectures.

Design/methodology/approach

Qualitative research methods and a pilot version of the simulation game in an actual classroom setting were used. The primary LO was to apply decision-making in groups and experience the consequences of decisions on business success. The students were assigned randomly to five groups representing different competing companies.

Findings

This study revealed that a simulation game with a reduced scope can facilitate interaction and participation in online lectures. It demonstrated that it is possible to obtain the main benefits of simulation-based learning with a simple game that consists of few decision variables and requires minimal training.

Research limitations/implications

There are limitations to this pilot study, some of which need to be address in future research. One limitation is the small number of participants (21). Another limitation is that all participants were from a class at an Asian university. While adding to existing research that focused primarily on Anglo-America and Europe, this study’s approach should be evaluated with more subjects from varying cultural backgrounds to validate the findings. The evaluation could be improved with more participants but also additional questions to measure how and why this study’s approach benefits learning success. E.g. it should be explored what component of decision-making or group learning was most significant. With this, it would also be interesting to explore incremental learning and learning across groups along the study duration.

Practical implications

The simulation game can be used in business education. Students enjoyed the interaction with their peers and the instructor. The students stated that it was a good learning experience for them and they made good learning progress.

Originality/value

The prototype demonstrated the general feasibility and the smooth handling of the practical application and integration in online lectures. The aim to develop a serious simulation game for online classes was achieved. It was possible to obtain the main benefits of simulation-based learning with a simple game that consists of few decision variables and therefore requires minimal training and time.

Details

Journal of International Education in Business, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-469X

Keywords

Abstract

Purpose

To advance the learning of professional practices in teacher education and medical education, this conceptual paper aims to introduce the idea of representational scaffolding for digital simulations in higher education.

Design/methodology/approach

This study outlines the ideas of core practices in two important fields of higher education, namely, teacher and medical education. To facilitate future professionals’ learning of relevant practices, using digital simulations for the approximation of practice offers multiple options for selecting and adjusting representations of practice situations. Adjusting the demands of the learning task in simulations by selecting and modifying representations of practice to match relevant learner characteristics can be characterized as representational scaffolding. Building on research on problem-solving and scientific reasoning, this article identifies leverage points for employing representational scaffolding.

Findings

The four suggested sets of representational scaffolds that target relevant features of practice situations in simulations are: informational complexity, typicality, required agency and situation dynamics. Representational scaffolds might be implemented in a strategy for approximating practice that involves the media design, sequencing and adaptation of representational scaffolding.

Originality/value

The outlined conceptualization of representational scaffolding can systematize the design and adaptation of digital simulations in higher education and might contribute to the advancement of future professionals’ learning to further engage in professional practices. This conceptual paper offers a necessary foundation and terminology for approaching related future research.

Article
Publication date: 2 November 2022

Feng Bai and Yi Wang

The purpose of this paper is to establish an intelligent framework to generate the data representatives in snapshot simulation in order to construct the online…

Abstract

Purpose

The purpose of this paper is to establish an intelligent framework to generate the data representatives in snapshot simulation in order to construct the online reduced-order model based on the generated data information. It could greatly reduce the computational time in snapshot simulation and accelerate the computational efficiency in the real-time computation of reduced-order modeling.

Design/methodology/approach

The snapshot simulation, which generates the data to construct reduced-order models (ROMs), usually is computationally demanding. In order to accelerate the snapshot generation, this paper presents a discrete element interpolaiton method (DEIM)-embedded hybrid simulation approach, in which the entire snapshot simulation is partitioned into multiple intervals of equal length. One of the three models: the full order model (FOM), local ROM, or local ROM-DEIM which represents a hierarchy of model approximations, fidelities and computational costs, will be adopted in each interval.

Findings

The outcome of the proposed snapshot simulation is an efficient ROM-DEIM applicable to various online simulations. Compared with the traditional FOM and the hybrid method without DEIM, the proposed method is able to accelerate the snapshot simulation by 54.4%–63.91% and 10.5%–27.85%, respectively. In the online simulation, ROM-DEIM only takes 4.81%–8.56% of the computational time of FOM, while preserving excellent accuracy (with relative error <1%).

Originality/value

1. A DEIM-embedded hybrid snapshot simulation methodology is proposed to accelerate snapshot data generation and reduced-order model (ROM)-DEIM development. 2. The simulation alternates among FOM, ROM and ROM-DEIM to adaptively generate snapshot data of salient subspace representation while minimizing computational load. 3. The DEIM-embedded hybrid snapshot approach demonstrates excellent accuracy (<1% error) and computational efficiency in both online snapshot simulation and online ROM-DEIM verification simulation.

Details

Engineering Computations, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 12 October 2022

Ali Ahmed, John Olsen and John Page

The overarching objective of this research is to integrate the Lean Six Sigma (LSS) framework with computer simulation to improve the production efficiency of a…

78

Abstract

Purpose

The overarching objective of this research is to integrate the Lean Six Sigma (LSS) framework with computer simulation to improve the production efficiency of a light-emitting diode (LED) manufacturing factory.

Design/methodology/approach

Recently, the idea of taking advantage of the benefits of Six Sigma and simulation models together has led both industry and the academy towards further investigation and implementation of these methodologies. From this perspective, the present research will illustrate the effectiveness of using LSS methodology in a real factory environment by using the combination of three simulation methods which are system dynamics (SD), discrete-event simulation (DES) and agent-based (AB) modelling.

Findings

The hybrid simulation method applied in this research was found to accurately mimic and model the existing real factory environment. The define, measure, analyse, control and improve (DMAIC)-based improvements showed that the applied method is able to improve machine utilization rates while balancing the workload. Moreover, queue lengths for several stations were shortened, and the average processing time was decreased by around 50%. Also, a weekly production increase of 25% was achieved while lowering the cost per unit by around 8%.

Research limitations/implications

While the case study used was for a LED manufacturing system, the proposed framework could be implemented for any other existing production system. The research also meticulously presents the steps carried out for the development of the multi-method simulation model to allow readers to replicate the model and tailor it for their own case studies and projects. The hybrid model enables managers to navigate the trade-off decisions they often face when choosing advanced production output ahead of continuous improvement practices. The adoption of methodologies outlined in this paper would attain improvements in terms of queue lengths, utilization, reduced costs and improved quality and efficiency of a real, small factory. The findings suggest improvements and create awareness among practitioners for the utilization of quality tools that will provide direct benefits to their companies. Although the multi-method simulation is effective, a limitation of the current study is the lack of micro details within each station. Furthermore, the results are all based on one specific case study which is not enough to suggest and generalized findings.

Originality/value

This research combines the use of the three main hybrid simulation paradigms (SD, DES and AB) in a unified framework DMAIC methodology. Choosing the right models in DMAIC is important, challenging and urgently necessary. Also, this paper shows empirical evidence on its effectiveness.

Details

International Journal of Lean Six Sigma, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 14 September 2010

Sung J. Shim and Arun Kumar

Using computer simulation, this paper seeks to model the emergency care process in a hospital and evaluate the effects of some proposed changes to improve patient wait…

1859

Abstract

Purpose

Using computer simulation, this paper seeks to model the emergency care process in a hospital and evaluate the effects of some proposed changes to improve patient wait times in the process.

Design/methodology/approach

The paper is based upon a case study conducted at the hospital and uses historical data provided by the hospital to simulate the emergency care process.

Findings

The simulation results demonstrate that the changes proposed can shorten patient wait times in the emergency care process. The proposed changes involve adding another payment station and a new short‐stay ward in the process. Based upon the results, the paper supports the implementation of the changes proposed.

Research limitations/implications

A couple of limitations are recognized in this paper. First, the simulation does not consider varying the capacity of resources and locations involved in the emergency care process. Second, the simulation does not consider patients by clinical disciplines in which they are treated.

Practical implications

The simulation results show that computer simulation can be an effective decision support tool in modelling the emergency care process and evaluating the effects of changes in the process. The results would be helpful to those who are considering reengineering and improving emergency care or other similar processes in hospitals.

Originality/value

Based upon a case study using real‐world data, this paper extends the line of studies on computer simulation in healthcare by considering not only patient wait times in the emergency care process but also some ways to improve patient wait times and their effects on the process.

Details

Business Process Management Journal, vol. 16 no. 5
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 1 February 1994

A.J. Faria and John R. Dickinson

Compared with other methods of instruction, whether in managementtraining programmes or in university courses, simulation gaming isrelatively new. Readings, lectures…

3322

Abstract

Compared with other methods of instruction, whether in management training programmes or in university courses, simulation gaming is relatively new. Readings, lectures, cases, role playing and other instructional techniques were in use long before the appearance of business games. Though recent in comparative terms, however, simulation games have been in existence for nearly 40 years. Examines the use of simulation games for sales management training, describes a newly developed sales management simulation and illustrates its use in a sales‐training programme.

Details

Journal of Management Development, vol. 13 no. 1
Type: Research Article
ISSN: 0262-1711

Keywords

Article
Publication date: 1 December 1998

John B. Washbush and Jerry Gosen

Total enterprise simulations are often used and included as graded elements by instructors in business degree capstone “policy courses” under the assumption that their use…

756

Abstract

Total enterprise simulations are often used and included as graded elements by instructors in business degree capstone “policy courses” under the assumption that their use enriches the learning experience. This suggests a belief that people who perform best in simulations have learned how to play the game better. The studies reported on here attempt to determine and evaluate the relationship between learning and simulation performance. These studies have consistently found that, while simulation‐related learning does occur, there appears to be no direct, positive relationship between the two variables. Suggestions for further research are proposed.

Details

Journal of Workplace Learning, vol. 10 no. 6/7
Type: Research Article
ISSN: 1366-5626

Keywords

Article
Publication date: 1 October 2000

L.P. Baldwin, T. Eldabi, V. Hlupic and Z. Irani

The design of manufacturing systems is a complex and expensive task for both SMEs and large organisations alike. Many problems relating to the design and operation of…

1123

Abstract

The design of manufacturing systems is a complex and expensive task for both SMEs and large organisations alike. Many problems relating to the design and operation of manufacturing systems are too complex to allow for mathematical treatment, and as a result there is increasing recognition of the applicability of simulation in the manufacturing environment. This has in turn resulted in a growth in simulation software products available in the marketplace, and manufacturers of such products are naturally keen to extol the virtues of what they sell. In a rapidly changing workplace, there is some suggestion that simulation tools may not have developed to deal with the new demands, and so it is timely to review what is on offer. This paper presents the results of a survey of European simulation specialists, both working in industry and in an academic environment, on the use of simulation software. The main purpose of this survey was to determine how satisfied users are with simulation software and to highlight the most positive and negative features. The findings offer an insight into current software, and how this can be further enhanced.

Details

Logistics Information Management, vol. 13 no. 5
Type: Research Article
ISSN: 0957-6053

Keywords

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