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Yasue, N., Mahmoodi, E., Ruiz Zúñiga, E. & Fathi, M. (2025). Analyzing resilient performance of workers with multiple disturbances in production systems. Applied Ergonomics, 122, Article ID 104391.
Open this publication in new window or tab >>Analyzing resilient performance of workers with multiple disturbances in production systems
2025 (English)In: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126, Vol. 122, article id 104391Article in journal (Refereed) Published
Abstract [en]

With the emergence of Industry 5.0 and an increasing focus on human-centric approaches in manufacturing, the analysis of workers in production systems has gathered significant interest among researchers and practitioners. Previous studies have explored the impact of various aspects, such as skills, fatigue, and circadian rhythms, on human performance. However, the cumulative effect of these aspects as disturbances on work performance has yet to be fully elucidated. This study introduces an approach using the Functional Resonance Analysis Method (FRAM) to investigate the impact of multiple disturbances on workers’ performance. Furthermore, this approach explored how the resilience-related skill aspects of workers affect their performance under multiple disturbances. A case study on engine test and repair processes was conducted, employing qualitative data collection and semi-quantitative simulation studies examining the impact of combined disturbances across 4,094 scenarios. The results show that a larger number of compounded variabilities expressed in Common Performance Conditions (CPCs) made it significantly challenging to recover work performance, and CPCs with particularly critical effects were identified. In addition, the FRAM model of skilled workers was shown to sustain higher performance across more scenarios. The approach of this study has demonstrated its ability to provide insights for effectively and safely managing production systems while considering complex disturbances.

Place, publisher, year, edition, pages
Elsevier, 2025
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-24589 (URN)10.1016/j.apergo.2024.104391 (DOI)001328008800001 ()39342914 (PubMedID)
Projects
ACCURATE 4.0
Funder
Knowledge Foundation, 20200181
Note

CC BY 4.0

Received 30 December 2023, Revised 4 September 2024, Accepted 17 September 2024, Available online 28 September 2024

Correspondence to: b1N04 C3 Building C Cluster, Kyoto daigaku-katsura, Nishikyo-ku, Kyoto-shi, Kyoto, 615-8540, Japan. E-mail address: yasue.naruki.85z@st.kyoto-u.ac.jp (N. Yasue).

This paper is based on results from a study supported by the Mazume Research Encouragement Prize. The study is also partially supported by the Knowledge Foundation (KKS), Sweden, through the ACCURATE 4.0 project (grant agreement No. 20200181). The authors would also like to thank the industrial partner of the project, Volvo Penta of Sweden, for their support and collaboration.

Available from: 2024-10-01 Created: 2024-10-01 Last updated: 2024-10-18Bibliographically approved
Mahmoodi, E., Fathi, M., Ghobakhloo, M. & Ng, A. H. C. (2024). A framework for throughput bottleneck analysis using cloud-based cyber-physical systems in Industry 4.0 and smart manufacturing. Paper presented at 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 Lisbon 22 November 2023 through 24 November 2023. Procedia Computer Science, 232, 3121-3130
Open this publication in new window or tab >>A framework for throughput bottleneck analysis using cloud-based cyber-physical systems in Industry 4.0 and smart manufacturing
2024 (English)In: Procedia Computer Science, E-ISSN 1877-0509, Vol. 232, p. 3121-3130Article in journal (Refereed) Published
Abstract [en]

The performance of a production system is primarily evaluated by its throughput, which is constrained by throughput bottlenecks. Thus, bottleneck analysis (BA), encompassing bottleneck identification, diagnosis, prediction, and prescription, is a crucial analytical process contributing to the success of manufacturing industries. Nevertheless, BA requires a substantial quantity of information from the manufacturing system, making it a data-intensive task. Based on the dynamic nature of bottlenecks, the optimal strategy for BA entails making well-informed decisions in real-time and executing necessary modifications accordingly. The efficient implementation of BA requires gathering, storing, analyzing, and illustrating data from the shop floor. Utilizing Industry 4.0 technologies, such as cyber-physical systems and cloud technology, facilitates the execution of data-intensive operations for the successful management of BA in real-world settings. The main objective of this study is to establish a framework for BA through the utilization of Cloud-Based Cyber-Physical Systems (CB-CPSs). First, a literature review was conducted to identify relevant research and current applications of CB-CPSs in BA. Using the results of the review, a CB-CPSs framework was subsequently introduced for BA. The application of the framework was assessed via simulation in a real-world manufacturer of marine engines. The findings indicate that the implementation of CB-CPSs can contribute significantly to throughput improvement. 

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Bottleneck analysis, Cyber-physical systems, Industry 4.0, Simulation
National Category
Production Engineering, Human Work Science and Ergonomics Computer Systems
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23729 (URN)10.1016/j.procs.2024.02.128 (DOI)001196800603017 ()2-s2.0-85189816187 (Scopus ID)
Conference
5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023 Lisbon 22 November 2023 through 24 November 2023
Projects
ACCURATE 4.0
Funder
Knowledge Foundation, 20200181
Note

CC BY-NC-ND 4.0 DEED

© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)

Correspondence Address: E. Mahmoodi; Division of Intelligent Production Systems, School of Engineering Science, University of Skövde, Skövde, 54128, Sweden; email: Ehsan.mahmoodi@his.se

We would like to express our gratitude to the Knowledge Foundation (KKS), Sweden, for their financial support through the ACCURATE 4.0 project, under grant agreement No. 20200181. We also wish to extend our appreciation to our industrial partner, Volvo Penta, Sweden. Their collaboration, expertise, and invaluable insights have significantly contributed to this study.

Available from: 2024-04-18 Created: 2024-04-18 Last updated: 2024-08-15Bibliographically approved
Rabet, R., Ganji, M. & Fathi, M. (2024). A simheuristic approach towards supply chain scheduling: Integrating production, maintenance and distribution. Applied Soft Computing, 153, Article ID 111264.
Open this publication in new window or tab >>A simheuristic approach towards supply chain scheduling: Integrating production, maintenance and distribution
2024 (English)In: Applied Soft Computing, ISSN 1568-4946, E-ISSN 1872-9681, Vol. 153, article id 111264Article in journal (Refereed) Published
Abstract [en]

This study attempts to integrate production, maintenance, and delivery operations among supply chain members. Despite numerous studies in the field of supply chain management, researchers have often overlooked crucial aspects, such as uncertainties in demand and production. For instance, the significant impact of maintenance activities on production flow has been underrepresented in supply chain management literature. This study investigates these gaps in the context of a fertilizer producer case study, which is characterized by seasonal demand and the functional silos syndrome due to old-fashioned management approaches. This study proposes a mathematical model and two multi-objective simheuristics for the Integrated Production, Maintenance, and Distribution Scheduling Problem (IPMDSP) considering demand variation for multiple products and product delivery time-windows using a heterogeneous fleet of vehicles. The IPMDSP is solved using the ϵ-constraint method and simheuristics linking the simulation model to customized and tuned versions of Particle Swarm Optimization (MOPSO) and the Non-dominated Sorting Genetic Algorithm (NSGA-II). The optimization objectives include minimizing maintenance duration, distribution costs, and customer dissatisfaction due to delivery tardiness. The results demonstrate the superiority of the simheuristic empowered by NSGA-II over the MOPSO in solving the IPMDSP. The comparison between the performance of deterministic and stochastic approaches in addressing the problem reveals that neglecting uncertainty caused by maintenance activities can lead to an increase in optimization objectives. Furthermore, the proposed simheuristics achieved significant improvements in minimizing objectives in solving the fertilizer producer case study. 

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Distribution, Heterogeneous vehicles routing problem, Integrated supply chain, Maintenance, Simheuristic, Fertilizers, Fleet operations, Genetic algorithms, Heuristic algorithms, Particle swarm optimization (PSO), Screening, Stochastic systems, Supply chain management, Heterogeneous vehicle routing problem, Heterogeneous vehicles, Integrated maintenance, Integrated production, Production distribution, Production Scheduling, Vehicle Routing Problems
National Category
Production Engineering, Human Work Science and Ergonomics Transport Systems and Logistics Other Civil Engineering
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23563 (URN)10.1016/j.asoc.2024.111264 (DOI)001171094000001 ()2-s2.0-85183117679 (Scopus ID)
Note

© 2024 Elsevier B.V.

Correspondence Address: R. Rabet; Department of Industrial Engineering, Islamic Azad University Science and Research Branch, Tehran, Iran; email: r.rabet@srbiau.ac.ir

Available from: 2024-02-01 Created: 2024-02-01 Last updated: 2024-04-15Bibliographically approved
Nourmohammadi, A., Fathi, M. & Ng, A. H. C. (2024). Balancing and scheduling human-robot collaborated assembly lines with layout and objective consideration. Computers & industrial engineering, 187, Article ID 109775.
Open this publication in new window or tab >>Balancing and scheduling human-robot collaborated assembly lines with layout and objective consideration
2024 (English)In: Computers & industrial engineering, ISSN 0360-8352, E-ISSN 1879-0550, Vol. 187, article id 109775Article in journal (Refereed) Published
Abstract [en]

The recent Industry 4.0 trend, followed by the technological advancement of collaborative robots, has urged many industries to shift towards new types of assembly lines with human-robot collaboration (HRC). This type of manufacturing line, in which human skill is supported by robot agility, demands an integrated balancing and scheduling of tasks and operators among the stations. This study attempts to deal with these joint problems in the straight and U-shaped assembly lines while considering different objectives, namely, the number of stations (Type-1), the cycle time (Type-2), and the cost of stations, operators, and robot energy consumption (Type-rw). The latter type often arises in the real world, where multiple types of humans and robots with different skills and energy levels can perform the assembly tasks collaboratively or in parallel at stations. Additionally, practical constraints, namely robot tool changes, zoning, and technological requirements, are considered in Type-rw. Accordingly, different mixed-integer linear programming (MILP) models for straight and U-shaped layouts are proposed with efficient lower and upper bounds for each objective. The computational results validate the efficiency of the proposed MILP model with bounded objectives while addressing an application case and different test problem sizes. In addition, the analysis of results shows that the U-shaped layout offers greater flexibility than the straight line, leading to more efficient solutions for JIT production, particularly in objective Type-2 followed by Type-rw and Type-1. Moreover, the U-shaped lines featuring a high HRC level can further enhance the achievement of desired objectives compared to the straight lines with no or limited HRC.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Industry 4.0, assembly line balancing, scheduling, human-robot collaboration, line layout, mathematical model
National Category
Robotics Production Engineering, Human Work Science and Ergonomics
Research subject
VF-KDO; Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23413 (URN)10.1016/j.cie.2023.109775 (DOI)001135405700001 ()2-s2.0-85179002846 (Scopus ID)
Funder
VinnovaKnowledge Foundation
Note

CC BY 4.0 DEED

Corresponding author: Email: amir.nourmohammadi@his.se

This study was funded by the Knowledge Foundation (KKS) and Sweden’s Innovation Agency through the VF-KDO, ACCURATE 4.0, and PREFER projects.

Available from: 2023-12-04 Created: 2023-12-04 Last updated: 2024-04-15Bibliographically approved
Nourmohammadi, A., Beldar, P., Fathi, M. & Mahmoodi, E. (2024). Balancing and Scheduling of Sustainable Flexible Transfer Lines. Paper presented at 18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024, Vienna, Austria, August 28-30, 2024. IFAC-PapersOnLine, 58(19), 664-669
Open this publication in new window or tab >>Balancing and Scheduling of Sustainable Flexible Transfer Lines
2024 (English)In: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 58, no 19, p. 664-669Article in journal (Refereed) Published
Abstract [en]

In response to sustainability imperatives, manufacturers adapt production lines for enhanced energy efficiency. This study focuses on flexible transfer lines (FTL), which are renowned for flexibility and efficiency in mass-customized production. This study addresses the pivotal challenges of balancing and scheduling FTL, aiming to optimize cycle time and total energy cost. A novel mixed-integer linear programming model and a multi-objective optimization approach utilizing the epsilon-constraint method are introduced for solving small to medium-sized problems. The findings advance sustainable practices by exploring the impact of varying energy modes on FTL sustainability, offering manufacturers insights into energy-efficient production strategies.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Line Balancing, Scheduling, Flexible Transfer Lines, Sustainability, Multi-objective Optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-24628 (URN)10.1016/j.ifacol.2024.09.224 (DOI)
Conference
18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024, Vienna, Austria, August 28-30, 2024
Projects
ACCURATE 4.0PREFER
Funder
Knowledge Foundation
Note

CC BY-NC-ND 4.0

This study was funded by the Knowledge Foundation (KKS) and Sweden’s Innovation Agency through ACCURATE 4.0 and PREFER projects. The authors thank their industrial partner, VOLVO Group,for their collaborative support during the project.

Available from: 2024-10-20 Created: 2024-10-20 Last updated: 2024-10-23
Fathi, M., Sepehri, A., Ghobakhloo, M., Iranmanesh, M. & Tsenge, M.-L. (2024). Balancing assembly lines with industrial and collaborative robots: Current trends and future research directions. Computers & industrial engineering, 193, Article ID 110254.
Open this publication in new window or tab >>Balancing assembly lines with industrial and collaborative robots: Current trends and future research directions
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2024 (English)In: Computers & industrial engineering, ISSN 0360-8352, E-ISSN 1879-0550, Vol. 193, article id 110254Article, review/survey (Refereed) Published
Abstract [en]

Assembly-line balancing is a significant issue in production systems. Employing industrial robots as the main production resource was a milestone in developing assembly lines, and emerging Industry 4.0 led industries to build collaborative assembly lines by combining robots and human operator skills. Recently, the majority of research on assembly line balancing has contributed to addressing aspects of utilizing robots in assembly lines and how they can increase line performance. Various models and methods are developed, considering different objectives and performance indicators. Despite the increasing number of studies in this area, a thorough literature review is lacking in identifying gaps, shedding light on research directions, and facilitating future development. This study systematically reviews assembly-line balancing studies targeted at assembly lines with industrial and collaborative robots. Studies are classified based on their objectives and reviewed for their solution method, line layout, and other essential specifications. A descriptive analysis is provided to assist researchers and practitioners in linking different properties of assembly lines to the objectives and applied methodologies. The results show that most studies developed models and solution methods that focused on simultaneously optimizing more than one objective. The review reveals that minimizing the cycle time is the most popular objective, and meta-heuristic algorithms are the dominant solution approaches. It is also observed that balancing assembly lines with collaborative robots has received more attention in the last five years with the emergence of Industry 4.0. The review also highlights gaps in the related literature and provides promising insights for future research.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Assembly line balancing, Human-robot collaboration, Systematic literature review, Industrial robot, Collaborative robot
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23892 (URN)10.1016/j.cie.2024.110254 (DOI)001258933900001 ()2-s2.0-85196273150 (Scopus ID)
Projects
ACCURATE 4.0PREFER
Funder
Knowledge Foundation, 20200181Vinnova, 20200181
Note

CC BY 4.0 DEED

Available online 25 May 2024, Version of Record 17 June 2024.

Corresponding author: masood.fathi@his.se; fathi.masood@gmail.com

This research has been a part of a project funded by the Knowledge Foundation (KKS) and Sweden's Innovation Agency via the ACCURATE 4.0 (grant agreement No. 20200181) and PREFER projects, respectively.

Available from: 2024-05-31 Created: 2024-05-31 Last updated: 2024-07-12Bibliographically approved
Ghobakhloo, M., Iranmanesh, M., Fathi, M., Rejeb, A., Foroughi, B. & Nikbin, D. (2024). Beyond Industry 4.0: a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability. Asia-Pacific Journal of Business Administration
Open this publication in new window or tab >>Beyond Industry 4.0: a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability
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2024 (English)In: Asia-Pacific Journal of Business Administration, ISSN 1757-4323, E-ISSN 1757-4331Article, review/survey (Refereed) Epub ahead of print
Abstract [en]

Purpose: The study seeks to understand the possible opportunities that Industry 5.0 might offer for various aspects of inclusive sustainability. The study aims to discuss existing perspectives on the classification of Industry 5.0 technologies and their underlying role in materializing the sustainability values of this agenda. Design/methodology/approach: The study systematically reviewed Industry 5.0 literature based on the PRISMA protocol. The study further employed a detailed content-centric review of eligible documents and conducted evidence mapping to fulfill the research objectives. Findings: The advancement of Industry 5.0 is currently underway, with noteworthy initial contributions enriching its knowledge base. Although a unanimous definition remains lacking, diverse viewpoints emerge concerning the recognition of fundamental technologies and the potential for yielding sustainable outcomes. The expected contribution of Industry 5.0 to sustainability varies significantly depending on the context and the nature of underlying technologies. Practical implications: Industry 5.0 holds the potential for advancing sustainability at both the firm and supply chain levels. It is envisioned to contribute proportionately to the three sustainability dimensions. However, the current discourse primarily dwells in theoretical and conceptual domains, lacking empirical exploration of its practical implications. Originality/value: This study comprehensively explores diverse perspectives on Industry 5.0 technologies and their potential contributions to economic, environmental and social sustainability. Despite its promise, the practical evidence supporting the effectiveness of Industry 5.0 remains limited. Certain conditions are necessary to realize the benefits of Industry 5.0 fully, yet the mechanisms behind these conditions require further investigation. In this regard, the study suggests several potential areas for future research. 

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2024
Keywords
Artificial intelligence, Big data, Blockchain, Digital society, Industry 4.0, Industry 5.0, Internet of things, Sustainability
National Category
Production Engineering, Human Work Science and Ergonomics Business Administration
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23846 (URN)10.1108/APJBA-08-2023-0384 (DOI)001214656700001 ()2-s2.0-85192191322 (Scopus ID)
Note

CC BY 4.0 LEGAL CODE

© 2024, Morteza Ghobakhloo, Mohammad Iranmanesh, Masood Fathi, Abderahman Rejeb, Behzad Foroughi and Davoud Nikbin

Corresponding author: Morteza Ghobakhloo, Division of Industrial Engineering and Management, Uppsala University, Uppsala, Sweden; email: morteza.ghobakhloo@angstrom.uu.se

Available from: 2024-05-16 Created: 2024-05-16 Last updated: 2024-07-05Bibliographically approved
Mahmoodi, E., Fathi, M. & Ng, A. H. C. (2024). Buffer Allocation in Remanufacturing Systems and its Applications in Aircraft Engine Maintenance, Repair, and Overhaul Industries. In: : . Paper presented at 33rd EURO Conference 2024, Technical University of Denmark (DTU), Copenhagen, 30 Jun 2024  to 3 Jul 2024.
Open this publication in new window or tab >>Buffer Allocation in Remanufacturing Systems and its Applications in Aircraft Engine Maintenance, Repair, and Overhaul Industries
2024 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Aircraft engine maintenance, repair, and overhaul (MRO) exemplifies a closed-loop remanufacturing system in which all components are recovered. As a critical process ensuring aircraft safety and reliability, MRO faces significant challenges due to the inherent uncertainty in maintenance workloads and the stochastic nature of the process. Aircraft engines contain life-limited parts, replaced at predetermined intervals, and on-condition parts, which are inspected during each maintenance visit and replaced as needed. The presence of on-condition components introduces additional uncertainty, as the full scope of required maintenance is only known after disassembly and inspection.

Consequently, effective buffer allocation between the disassembly, repair, and reassembly stages is crucial for absorbing this variability. To optimize buffer allocation in this stochastic environment, this study employed discrete-event simulation to model the detailed MRO process. A multi-objective meta-heuristic algorithm was then applied to identify near-optimal buffer allocations that simultaneously maximize engine inter-arrival rates and minimize work-in-process. The results demonstrate that strategically designed buffers, particularly between major process stages, can significantly enhance performance in the face of uncertainty inherent to MRO operations. This simulation-based optimization approach offers valuable insights for managing complex remanufacturing systems such as aircraft engine MRO.

Keywords
Remanufacturing, Buffer allocation, Aircraft engine, Maintenance, Simulation, Multi-Objective Optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-24596 (URN)
Conference
33rd EURO Conference 2024, Technical University of Denmark (DTU), Copenhagen, 30 Jun 2024  to 3 Jul 2024
Available from: 2024-10-07 Created: 2024-10-07 Last updated: 2024-10-14Bibliographically approved
Mahmoodi, E., Fathi, M., Tavana, M., Ghobakhloo, M. & Ng, A. H. C. (2024). Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing. Journal of manufacturing systems, 72, 287-307
Open this publication in new window or tab >>Data-driven simulation-based decision support system for resource allocation in industry 4.0 and smart manufacturing
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2024 (English)In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 72, p. 287-307Article in journal (Refereed) Published
Abstract [en]

Data-driven simulation (DDS) is fundamental to analytical and decision-support technologies in Industry 4.0 and smart manufacturing. This study investigates the potential of DDS for resource allocation (RA) in high-mix, low-volume smart manufacturing systems with mixed automation levels. A DDS-based decision support system (DDS-DSS) is developed by incorporating two RA strategies: simulation-based bottleneck analysis (SB-BA) and simulation-based multi-objective optimization (SB-MOO). To enhance the performance of SB-MOO, a unique meta-learning mechanism featuring memory, dynamic orthogonal array, and learning rate is integrated into the NSGA-II, resulting in a modified version of the NSGA-II with meta-learning (i.e., NSGA-II-ML). The proposed DSS also benefits from a post-optimality analysis that leverages a clustering algorithm to derive actionable insights. A real-life marine engine manufacturing application study is presented to demonstrate the applicability and exhibit efficacy of the proposed DSS and NSGA-II-ML. To this aim, NSGA-II-ML was tested against the original NSGA-II and differential evolution (DE) algorithm across a set of test problems. The results revealed that NSGA-II-ML surpassed the other two in terms of the number of non-dominated solutions and hypervolume, particularly in medium and large-sized problems. Furthermore, NSGA-II-ML achieved a 24% improvement in the best throughput found in the real case problem, outperforming SB-BA, NSGA-II, and DE. The post-optimality analysis led to the extraction of valuable knowledge about the key, influencing decision variables on the throughput.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Resource allocation, High-mix low-volume, Multi-objective optimization, Data-driven simulation, Decision support system, Industry 4.0, Meta-learning
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23465 (URN)10.1016/j.jmsy.2023.11.019 (DOI)001140004800001 ()2-s2.0-85183766753 (Scopus ID)
Projects
ACCURATE 4.0PREFER
Funder
Knowledge FoundationVinnova
Note

CC BY 4.0 DEED

Corresponding author at: Division of Intelligent Production Systems, School of Engineering Science, University of Skövde, 54128 Skövde, Sweden. E-mail address: masood.fathi@his.se (M. Fathi).

This study was funded by the Knowledge Foundation (KKS) and Sweden’s Innovation Agency via the ACCURATE 4.0 (grant agreement No. 20200181) and PREFER projects, respectively.

Available from: 2023-12-13 Created: 2023-12-13 Last updated: 2024-04-15Bibliographically approved
Asadi, S., Allison, J., Iranmanesh, M., Fathi, M., Safaei, M. & Saeed, F. (2024). Determinants of Intention to Use Simulation-Based Learning in Computers and Networking Courses: An ISM and MICMAC Analysis. IEEE transactions on engineering management, 71, 6015-6030
Open this publication in new window or tab >>Determinants of Intention to Use Simulation-Based Learning in Computers and Networking Courses: An ISM and MICMAC Analysis
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2024 (English)In: IEEE transactions on engineering management, ISSN 0018-9391, E-ISSN 1558-0040, Vol. 71, p. 6015-6030Article in journal (Refereed) Published
Abstract [en]

Simulation-based learning (SBL) presents a wide variety of opportunities to practice complex computer and networking skills in higher education, employing various platforms to enhance educational outcomes. The integration of SBL tools in teaching computer networking courses is useful for both instructors and learners. Furthermore, the increasing importance of SBL in higher education highlights the necessity to further explore the factors that affect the adoption of SBL technologies, particularly in the field of computer networking courses. Despite these advantages, minimal effort has been made to examine the factors that impact instructors' intentions to use SBL tools for computers and networking courses. The main objective of this study is to examine the factors that affect instructors' intentions to utilize SBL tools in computer networking courses offered by higher education institutions. By employing Interpretive structural modeling (ISM) and Matriced' Impacts Croise's Multiplication Appliquee a UN Classement (MICMAC) analysis, the research attempts to provide an in-depth understanding of the interdependencies and hierarchical associations among twelve identified factors. Results showed that system quality, self-efficacy, technological knowledge, and information quality have high driving power. This study offers valuable perspectives for higher education institutions and for upcoming empirical studies and aids in comprehending the advantages of using SBL tools in teaching and higher education. 

Place, publisher, year, edition, pages
IEEE, 2024
Keywords
Bibliographies, Computer networks, Computers, Digitalization, Education, Intention to use, Internet, ISM, learning, MICMAC, Reviews, Simulation-based, Systematics, Technology adoption, Interpretive structural models, Learning tool, Simulation-based learning, Systematic, Teaching
National Category
Information Systems Information Systems, Social aspects Learning
Research subject
Virtual Production Development (VPD)
Identifiers
urn:nbn:se:his:diva-23668 (URN)10.1109/TEM.2024.3374517 (DOI)001193906300004 ()2-s2.0-85187409314 (Scopus ID)
Available from: 2024-03-21 Created: 2024-03-21 Last updated: 2024-04-15Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5530-3517

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