Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities
Received: 26 September 2022 | Revised: 13 October 2022 | Accepted: 21 October 2022 | Online: 15 December 2022
Corresponding author: M. Alquraish
Abstract
Manufacturing is an important part of the modern economy. It is characterized by complexity in terms of systems, approaches, and interactions with intrinsic and extrinsic factors. Numerous efforts have been developed to use modeling and simulation tools to improve manufacturing efficiency and productivity and to achieve maximum quality, especially with the different mutations in the factories of today. This paper reviews the conventional and modern tools used in manufacturing system design and production improvement. Challenges that need to be addressed by the simulation community are discussed in depth. Finally, the evolution, advances, current practices, and future opportunities are discussed in the context of the contemporary manufacturing industry.
Keywords:
Industry 4.0, systems, tools, simulation, modeling, mutation, Indystry 5.0, production processesDownloads
References
F. Yu and C. Zheng, "Tools, application areas and challenges of factory simulation in Small and Medium-Sized Enterprises – A Review," Procedia CIRP, vol. 104, pp. 399–404, Jan. 2021. DOI: https://doi.org/10.1016/j.procir.2021.11.067
N. Edh Mirzaei, P. Hilletofth, and R. Pal, "Challenges to competitive manufacturing in high-cost environments: checklist and insights from Swedish manufacturing firms," Operations Management Research, vol. 14, no. 3, pp. 272–292, Dec. 2021. DOI: https://doi.org/10.1007/s12063-021-00193-0
M. Masmali, "Implementation of Lean Manufacturing in a Cement Industry," Engineering, Technology & Applied Science Research, vol. 11, no. 3, pp. 7069–7074, Jun. 2021. DOI: https://doi.org/10.48084/etasr.4087
M. Kumar and M. Mani, "Sustainability Assessment in Manufacturing for Effectiveness: Challenges and Opportunities," Frontiers in Sustainability, vol. 3, Mar. 2022, Art. no. 837016. DOI: https://doi.org/10.3389/frsus.2022.837016
J. Kleineidam, "Fields of Action for Designing Measures to Avoid Food Losses in Logistics Networks," Sustainability, vol. 12, no. 15, Jan. 2020, Art. no. 6093. DOI: https://doi.org/10.3390/su12156093
E. A. Boom Carcamo and R. Penabaena-Niebles, "Opportunities and challenges for the waste management in emerging and frontier countries through industrial symbiosis," Journal of Cleaner Production, vol. 363, Aug. 2022, Art. no. 132607. DOI: https://doi.org/10.1016/j.jclepro.2022.132607
M. B. Ayed, L. Zouari, and M. Abid, "Software In the Loop Simulation for Robot Manipulators," Engineering, Technology & Applied Science Research, vol. 7, no. 5, pp. 2017–2021, Oct. 2017. DOI: https://doi.org/10.48084/etasr.1285
L. Malburg, M.-P. Rieder, R. Seiger, P. Klein, and R. Bergmann, "Object Detection for Smart Factory Processes by Machine Learning," Procedia Computer Science, vol. 184, pp. 581–588, Jan. 2021. DOI: https://doi.org/10.1016/j.procs.2021.04.009
F. Alorifi, S. M. A. Ghaly, M. Y. Shalaby, M. A. Ali, and M. O. Khan, "Analysis and Detection of a Target Gas System Based on TDLAS & LabVIEW," Engineering, Technology & Applied Science Research, vol. 9, no. 3, pp. 4196–4199, Jun. 2019. DOI: https://doi.org/10.48084/etasr.2736
D. Mourtzis, "Simulation in the design and operation of manufacturing systems: state of the art and new trends," International Journal of Production Research, vol. 58, no. 7, pp. 1927–1949, Apr. 2020. DOI: https://doi.org/10.1080/00207543.2019.1636321
D. Mourtzis, M. Doukas, and D. Bernidaki, "Simulation in Manufacturing: Review and Challenges," Procedia CIRP, vol. 25, pp. 213–229, Jan. 2014. DOI: https://doi.org/10.1016/j.procir.2014.10.032
S. Caceres-Gelvez, M. D. Arango-Serna, and J. A. Zapata-Cortes, "Evaluating the performance of a cellular manufacturing system proposal for the sewing department of a sportswear manufacturing company: A simulation approach," Journal of Applied Research and Technology, vol. 20, no. 1, pp. 68–83, Mar. 2022. DOI: https://doi.org/10.22201/icat.24486736e.2022.20.1.1335
A. Gupta, K. Singh, and R. Verma, "A critical study and comparison of manufacturing simulation softwares using analytic hierarchy process," Journal of Engineering Science and Technology, vol. 5, no. 1, pp. 108–129, Mar. 2010.
S. M. Lee and S. Trimi, "Innovation for creating a smart future," Journal of Innovation & Knowledge, vol. 3, no. 1, pp. 1–8, Jan. 2018. DOI: https://doi.org/10.1016/j.jik.2016.11.001
M. Al-Amin, M. Tanjim Hossain, and M. Jahidul Islam, "The Technology Development and Management of Smart Manufacturing System: A Review On Theoretical and Technological Perspectives," European Scientific Journal, vol. 17, no. 43, pp. 170–193, 2021. DOI: https://doi.org/10.19044/esj.2021.v17n43p170
"How Smart, Connected Products Are Transforming Competition." https://hbr.org/2014/11/how-smart-connected-products-are-transforming-competition (accessed Oct. 25, 2022).
M.-H. Hsiao, "A conceptual framework for technology-enabled and technology-dependent user behavior toward device mesh and mesh app," Future Business Journal, vol. 4, no. 1, pp. 130–138, Jun. 2018. DOI: https://doi.org/10.1016/j.fbj.2018.03.003
J. J. Yun, D. Won, and K. Park, "Dynamics from open innovation to evolutionary change," Journal of Open Innovation: Technology, Market, and Complexity, vol. 2, no. 2, Jun. 2016, Art. no. 7. DOI: https://doi.org/10.1186/s40852-016-0033-0
Economic and Social Commission for Latin America and the Caribbean, Globalization and development : 29th session. Brasilia, Brasil: UN, ECLAC, 2002.
B. Roach, N. Goodwin, and J. Nelson, "Consumption and the Consumer Society," in Microeconomics in Context, London, UK: Routledge, 2019. DOI: https://doi.org/10.4324/9780429456893-9
V. Melnyk, F. A. Carrillat, and V. Melnyk, "The Influence of Social Norms on Consumer Behavior: A Meta-Analysis," Journal of Marketing, vol. 86, no. 3, pp. 98–120, May 2022. DOI: https://doi.org/10.1177/00222429211029199
S. Lockie, "Mainstreaming climate change sociology," Environmental Sociology, vol. 8, no. 1, pp. 1–6, Jan. 2022. DOI: https://doi.org/10.1080/23251042.2022.2043529
E. R. Zuniga, M. U. Moris, and A. Syberfeldt, "Integrating simulation-based optimization, lean, and the concepts of industry 4.0," in Winter Simulation Conference, Las Vegas, NV, USA, Dec. 2017, pp. 3828–3839. DOI: https://doi.org/10.1109/WSC.2017.8248094
C. Herrmann, C. Schmidt, D. Kurle, S. Blume, and S. Thiede, "Sustainability in manufacturing and factories of the future," International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 1, no. 4, pp. 283–292, Oct. 2014. DOI: https://doi.org/10.1007/s40684-014-0034-z
S. J. Hu, "Evolving Paradigms of Manufacturing: From Mass Production to Mass Customization and Personalization," Procedia CIRP, vol. 7, pp. 3–8, Jan. 2013. DOI: https://doi.org/10.1016/j.procir.2013.05.002
E. Yildiz, C. Moller, and A. Bilberg, "Demonstration and evaluation of a digital twin-based virtual factory," The International Journal of Advanced Manufacturing Technology, vol. 114, no. 1, pp. 185–203, May 2021.
S. Jain, N. Fong Choong, K. Maung Aye, and M. Luo, "Virtual factory: an integrated approach to manufacturing systems modeling," International Journal of Operations & Production Management, vol. 21, no. 5/6, pp. 594–608, Jan. 2001. DOI: https://doi.org/10.1108/01443570110390354
D. Zuehlke, "SmartFactory—Towards a factory-of-things," Annual Reviews in Control, vol. 34, no. 1, pp. 129–138, Apr. 2010. DOI: https://doi.org/10.1016/j.arcontrol.2010.02.008
J. Cecil, "A Collaborative Manufacturing Approach supporting adoption of IoT Principles in Micro Devices Assembly," Procedia Manufacturing, vol. 26, pp. 1265–1277, Jan. 2018. DOI: https://doi.org/10.1016/j.promfg.2018.07.141
D. T. Matt, V. Modrak, and H. Zsifkovits, Eds., Implementing Industry 4.0 in SMEs: Concepts, Examples and Applications. New York, NY, USA: Springer, 2021. DOI: https://doi.org/10.1007/978-3-030-70516-9
G. Tsaramirsis et al., "A Modern Approach towards an Industry 4.0 Model: From Driving Technologies to Management," Journal of Sensors, vol. 2022, Jun. 2022, Art. no. e5023011. DOI: https://doi.org/10.1155/2022/5023011
S. Paul et al., "Industry 4.0 Applications for Medical/Healthcare Services," Journal of Sensor and Actuator Networks, vol. 10, no. 3, Sep. 2021, Art. no. 43. DOI: https://doi.org/10.3390/jsan10030043
C. Bai, P. Dallasega, G. Orzes, and J. Sarkis, "Industry 4.0 technologies assessment: A sustainability perspective," International Journal of Production Economics, vol. 229, Nov. 2020, Art. no. 107776. DOI: https://doi.org/10.1016/j.ijpe.2020.107776
F. Shrouf, J. Ordieres, and G. Miragliotta, "Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm," in International Conference on Industrial Engineering and Engineering Management, Selangor, Malaysia, Dec. 2014, pp. 697–701. DOI: https://doi.org/10.1109/IEEM.2014.7058728
G. Buchi, M. Cugno, and R. Castagnoli, "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, vol. 150, Jan. 2020, Art. no. 119790. DOI: https://doi.org/10.1016/j.techfore.2019.119790
J. Morgan, M. Halton, Y. Qiao, and J. G. Breslin, "Industry 4.0 smart reconfigurable manufacturing machines," Journal of Manufacturing Systems, vol. 59, pp. 481–506, Apr. 2021. DOI: https://doi.org/10.1016/j.jmsy.2021.03.001
T. C. Ng, S. Y. Lau, M. Ghobakhloo, M. Fathi, and M. S. Liang, "The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review," Sustainability, vol. 14, no. 7, Jan. 2022, Art. no. 4327. DOI: https://doi.org/10.3390/su14074327
F. Orellana and R. Torres, "From legacy-based factories to smart factories level 2 according to the industry 4.0," International Journal of Computer Integrated Manufacturing, vol. 32, no. 4–5, pp. 441–451, May 2019. DOI: https://doi.org/10.1080/0951192X.2019.1609702
J. Guo and M. Martinez-Garcia, "Key technologies towards smart manufacturing based on swarm intelligence and edge computing," Computers & Electrical Engineering, vol. 92, Jun. 2021, Art. no. 107119. DOI: https://doi.org/10.1016/j.compeleceng.2021.107119
I. Castelo-Branco, F. Cruz-Jesus, and T. Oliveira, "Assessing Industry 4.0 readiness in manufacturing: Evidence for the European Union," Computers in Industry, vol. 107, pp. 22–32, May 2019. DOI: https://doi.org/10.1016/j.compind.2019.01.007
R. Contreras-Masse, A. Ochoa-Zezzatti, V. Garcia, J. Mejia, and S. Gonzalez, "Application of IoT with haptics interface in the smart manufacturing industry," International Journal of Combinatorial Optimization Problems and Informatics, vol. 10, no. 2, pp. 57–70, 2019.
S. Kumar, P. Tiwari, and M. Zymbler, "Internet of Things is a revolutionary approach for future technology enhancement: a review," Journal of Big Data, vol. 6, no. 1, Dec. 2019, Art. no. 111. DOI: https://doi.org/10.1186/s40537-019-0268-2
F. Ferracuti, A. Freddi, A. Monteriu, and M. Prist, "An Integrated Simulation Module for Cyber-Physical Automation Systems," Sensors, vol. 16, no. 5, May 2016, Art. no. 645. DOI: https://doi.org/10.3390/s16050645
G. Lazaroiu, M. Andronie, M. Iatagan, M. Geamanu, R. Stefanescu, and I. Dijmarescu, "Deep Learning-Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things," ISPRS International Journal of Geo-Information, vol. 11, no. 5, May 2022, Art. no. 277. DOI: https://doi.org/10.3390/ijgi11050277
K. Zvarikova, M. Rowland, and T. Krulicky, "Sustainable Industry 4.0 Wireless Networks, Smart Factory Performance, and Cognitive Automation in Cyber-Physical System-based Manufacturing," Journal of Self-Governance and Management Economics, vol. 9, no. 4, pp. 7–20, 2021. DOI: https://doi.org/10.22381/jsme9420211
A. Nabavi-Pelesaraei, S. Rafiee, S. S. Mohtasebi, H. Hosseinzadeh-Bandbafha, and K. Chau, "Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production," Science of The Total Environment, vol. 631–632, pp. 1279–1294, Aug. 2018. DOI: https://doi.org/10.1016/j.scitotenv.2018.03.088
R. Senington, F. Baumeister, A. Ng, and J. Oscarsson, "A linked data approach for the connection of manufacturing processes with production simulation models," Procedia CIRP, vol. 70, pp. 440–445, Jan. 2018. DOI: https://doi.org/10.1016/j.procir.2018.03.243
M. Perno, L. Hvam, and A. Haug, "Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers," Computers in Industry, vol. 134, Jan. 2022, Art. no. 103558. DOI: https://doi.org/10.1016/j.compind.2021.103558
A. Barkanyi, T. Chovan, S. Nemeth, and J. Abonyi, "Modelling for Digital Twins—Potential Role of Surrogate Models," Processes, vol. 9, no. 3, Mar. 2021, Art. no. 476. DOI: https://doi.org/10.3390/pr9030476
R. Kazala, S. Luscinski, P. Straczynski, and A. Taneva, "An Enabling Open-Source Technology for Development and Prototyping of Production Systems by Applying Digital Twinning," Processes, vol. 10, no. 1, Jan. 2022, Art. no. 21. DOI: https://doi.org/10.3390/pr10010021
P. Staczek, J. Pizon, W. Danilczuk, and A. Gola, "A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR’s) Operating Environment—A Case Study," Sensors, vol. 21, no. 23, Jan. 2021, Art. no. 7830. DOI: https://doi.org/10.3390/s21237830
E. Yildiz, C. Moller, and A. Bilberg, "Demonstration and evaluation of a digital twin-based virtual factory," The International Journal of Advanced Manufacturing Technology, vol. 114, no. 1, pp. 185–203, May 2021. DOI: https://doi.org/10.1007/s00170-021-06825-w
A. Bamberg, L. Urbas, S. Brocker, M. Bortz, and N. Kockmann, "The Digital Twin – Your Ingenious Companion for Process Engineering and Smart Production," Chemical Engineering & Technology, vol. 44, no. 6, pp. 954–961, 2021. DOI: https://doi.org/10.1002/ceat.202000562
Y.-H. Kuo, F. Pilati, T. Qu, and G. Q. Huang, "Digital twin-enabled smart industrial systems: recent developments and future perspectives," International Journal of Computer Integrated Manufacturing, vol. 34, no. 7–8, pp. 685–689, Aug. 2021. DOI: https://doi.org/10.1080/0951192X.2021.1959710
D. Yang, H. R. Karimi, O. Kaynak, and S. Yin, "Developments of digital twin technologies in industrial, smart city and healthcare sectors: a survey," Complex Engineering Systems, vol. 1, no. 1, Sep. 2021, Art. no. 3. DOI: https://doi.org/10.20517/ces.2021.06
M. Gregor, J. Matuszek, and D. Plinta, "Modelling and simulation of manufacturing processes in managing and planning of machines’ setup," Advances in Manufacturing Science and Technology, vol. 37, no. 1, pp. 7–17, 2013. DOI: https://doi.org/10.2478/amst-2013-0001
R. Domingo, J. Blanco-Fernandez, and J. L. Garcia-Alcaraz, "Complexity in Manufacturing Processes and Systems 2019," Complexity, vol. 2020, Jul. 2020, Art. no. e7286932. DOI: https://doi.org/10.1155/2020/7286932
A. V. Deshmukh, J. J. Talavage, and M. M. Barash, "Complexity in manufacturing systems, Part 1: Analysis of static complexity," IIE Transactions, vol. 30, no. 7, pp. 645–655, Jul. 1998. DOI: https://doi.org/10.1080/07408179808966508
M. K. Chernyakov, M. M. Chernyakova, and K. Ch. Akberov, "Simulation Design of Manufacturing Processes and Production Systems," Advances in Engineering Research, vol. 157, pp. 124–128, 2018. DOI: https://doi.org/10.2991/aime-18.2018.24
M. Lutjen and A. Ait Alla, "Risk-Optimized Design of Production Systems by Use of GRAMOSA," Mathematical Problems in Engineering, vol. 2014, Mar. 2014, Art. no. e934176. DOI: https://doi.org/10.1155/2014/934176
M. Jurkovic, Z. Jurkovic, G. Cukor, M. Brezocnik, and M. Sekulic, "Application of Modeling and Simulation in Reengineering of Manufacturing Processes," Journal of Trends in the Development of Machinery and Associated Technology, vol. 18, no. 1, pp. 63–66, 2014.
Zs. J. Viharos and L. Monostori, "Quality-oriented modelling, simulation and management of production lines," in 37th CIRP International Seminar on Manufacturing Systems, Digital enterprises, production networks, Budapest, Hungary, Dec. 2004, pp. 457–462.
V. Schindlerova, I. Sajdlerova, and D. Lehocka, "Dynamic simulation for optimisation solution of manufacturing processes," MATEC Web of Conferences, vol. 244, 2018, Art. no. 01010. DOI: https://doi.org/10.1051/matecconf/201824401010
A. Blanco, E. Dahlquist, J. Kappen, J. Manninen, C. Negro, and R. Ritala, "Use of modelling and simulation in the pulp and paper industry," Mathematical and Computer Modelling of Dynamical Systems, vol. 15, no. 5, pp. 409–423, Nov. 2009. DOI: https://doi.org/10.1080/13873950903375387
S. Benavent, P. Rosado, F. Romero, and J. V. Abellan, "Control strategies comparison for a multi-stage assembly system using simulation," IOP Conference Series: Materials Science and Engineering, vol. 1193, no. 1, Jul. 2021, Art. no. 012089. DOI: https://doi.org/10.1088/1757-899X/1193/1/012089
N. Daneshjo, V. Rudy, P. Drabik, and P. Malega, "Methods and Procedures Applied to Design of Production Processes and Systems," TEM Journal, vol. 9, no. 4, pp. 1435–1442, Nov. 2020. DOI: https://doi.org/10.18421/TEM94-15
V. A. Dolgov, P. A. Nikishechkin, A. A. Leonov, S. S. Ivashin, and N. V. Dolgov, "Mathematical Modeling of Production Processes of Discrete Machine-Building Enterprises Based on the Interaction of Simulation Systems and Operational Planning Systems," EPJ Web of Conferences, vol. 248, 2021, Art. no. 04014. DOI: https://doi.org/10.1051/epjconf/202124804014
B. Benderskiy, P. Frankovsky, and A. Chernova, "Numerical Simulation of Intrachamber Processes in the Power Plant," Applied Sciences, vol. 11, no. 11, Jan. 2021, Art. no. 4990. DOI: https://doi.org/10.3390/app11114990
E. Gresova and J. Svetlik, "Mathematical Modeling of the Manufacturing Sector’s Dominant Part as a Base for Automation," Applied Sciences, vol. 11, no. 7, Jan. 2021, Art. no. 3295. DOI: https://doi.org/10.3390/app11073295
C. Barbosa and A. Azevedo, "Hybrid Simulation for Complex Manufacturing Value-chain Environments," Procedia Manufacturing, vol. 11, pp. 1404–1412, Jan. 2017. DOI: https://doi.org/10.1016/j.promfg.2017.07.270
D. S. Chang and S. C. Park, "Configuration space–based discrete event system specification formalism for a smart factory with real-time flexibility," Concurrent Engineering, vol. 26, no. 3, pp. 265–275, Sep. 2018. DOI: https://doi.org/10.1177/1063293X18776046
H. Reinhardt, M. Weber, and M. Putz, "A Survey on Automatic Model Generation for Material Flow Simulation in Discrete Manufacturing," Procedia CIRP, vol. 81, pp. 121–126, Jan. 2019. DOI: https://doi.org/10.1016/j.procir.2019.03.022
H. Kanj, W. H. F. Aly, and S. Kanj, "A Novel Dynamic Approach for Risk Analysis and Simulation Using Multi-Agents Model," Applied Sciences, vol. 12, no. 10, Jan. 2022, Art. no. 5062. DOI: https://doi.org/10.3390/app12105062
M. Taleb-Berrouane, F. Khan, and P. Amyotte, "Bayesian Stochastic Petri Nets (BSPN) - A new modelling tool for dynamic safety and reliability analysis," Reliability Engineering & System Safety, vol. 193, Jan. 2020, Art. no. 106587. DOI: https://doi.org/10.1016/j.ress.2019.106587
W. Delaney, Dynamic Models and Discrete Event Simulation. Boca Raton, FL, USA: CRC Press, 2020. DOI: https://doi.org/10.1201/9781003065692
R. Y. Rubinstein and D. P. Kroese, Simulation and the Monte Carlo Method, 3rd Edition. New York, NY, USA: John Wiley & Sons, 2017. DOI: https://doi.org/10.1002/9781118631980
W. D. Kelton and A. M. Law, Simulation Modelling and Analysis, 3rd Revised edition. New York, NY, USA: Mcgraw Hill, 2000.
K. G. Samuel, N.-D. M. Bouare, O. Maiga, and M. K. Traore, "A DEVS-based pivotal modeling formalism and its verification and validation framework," SIMULATION, vol. 96, no. 12, pp. 969–992, Dec. 2020. DOI: https://doi.org/10.1177/0037549720958056
K. H. Kim, Y. R. Seong, T.-G. Kim, and K. H. Park, "Distributed simulation of hierarchical DEVS models: Hierarchical scheduling locally and time warp globally," Transactions of the Society for Computer Simulation International, vol. 13, no. 3, pp. 135–154, 1996.
H. O. Aliyu, O. Maiga, and M. K. Traore, "A framework for discrete events systems enactment," in 29th EUROSIS/IEEE European Simulation & Modelling Conference, Leicester, UK, Oct. 2015, pp. 149–156.
V. Albert and C. Foucher, "Formal Framework for Discrete-Event Simulation," IFAC-PapersOnLine, vol. 50, no. 1, pp. 5812–5817, Jul. 2017. DOI: https://doi.org/10.1016/j.ifacol.2017.08.535
C.-C. Huang, "Discrete event system modeling using SysML and model transformation," Ph.D. dissertation, Georgia Institute of Technology, Atlanta, GA, USA, 2011.
P. Fonseca i Casas, D. Lijia Hu, A. Guasch i Petit, and J. Figueras i Jove, "Simplifying the Verification of Simulation Models through Petri Net to FlexSim Mapping," Applied Sciences, vol. 10, no. 4, Jan. 2020, Art. no. 1395. DOI: https://doi.org/10.3390/app10041395
S. Emami, F. Barzegaran, and A. Divsalar, "A Mathematical Model for Production Planning and Scheduling in a Production System: A Case Study," International Journal of Industrial Engineering and Management Science, vol. 6, no. 2, pp. 1–16, Jul. 2019.
E. De Gentili, A. De Cicco, and J.-F. Santucci, "Devs and Fuzzy logic to model and simulate a manufacturing process," in International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, Vienna, Austria, Nov. 2005, vol. 1, pp. 557–564.
P. Pujo, M. Pedetti, and N. Giambiasi, "Formal DEVS modelling and simulation of a flow-shop relocation method without interrupting the production," Simulation Modelling Practice and Theory, vol. 14, no. 7, pp. 817–842, Oct. 2006. DOI: https://doi.org/10.1016/j.simpat.2006.01.001
C. Frydman, M. Le Goc, L. Torres, and N. Giambiasi, “Knowledge-Based diagnosis in SACHEM using DEVS models," Special Issues of Transaction of Society for Modeling and Simulation International (SCS) on Recent Advances in DEVS Methodology, vol. 18, no. 3, pp. 147–158, 2001.
V. Riccardi, P. Pujo, and C. Frydman, “DEVS Modelling For The Proactive Control By Simulation Of Kanban Production Lines," presented at the The International Workshop on Modeling & Applied Simulation (MAS 2003), Bergeggi, Italy, Jan. 2003.
J.-K. Lee, M.-W. Lee, and S.-D. Chi, "DEVS/HLA-Based Modeling and Simulation for Intelligent Transportation Systems," SIMULATION, vol. 79, no. 8, pp. 423–439, Aug. 2003. DOI: https://doi.org/10.1177/0037549703040233
N. Giambiasi, B. Escude, and S. Ghosh, "GDEVS: A Generalized Discrete Event Specification for Accurate Modeling of Dynamic systems," Transactions of SCSI, vol. 17, no. 3, pp. 120–134, 2000.
M. F. Yegul, F. S. Erenay, S. Striepe, and M. Yavuz, "Improving configuration of complex production lines via simulation-based optimization," Computers & Industrial Engineering, vol. 109, pp. 295–312, Jul. 2017. DOI: https://doi.org/10.1016/j.cie.2017.04.019
P. Grznar et al., "Modeling and Simulation of Processes in a Factory of the Future," Applied Sciences, vol. 10, no. 13, Jan. 2020, Art. no. 4503. DOI: https://doi.org/10.3390/app10134503
S. Robinson, “Simulation model verification and validation: increasing the users’ confidence," in Proceedings of the 29th conference on Winter simulation, USA, Sep. 1997, pp. 53–59. DOI: https://doi.org/10.1145/268437.268448
M. Dornhofer, S. Sack, J. Zenkert, and M. Fathi, "Simulation of Smart Factory Processes Applying Multi-Agent-Systems—A Knowledge Management Perspective," Journal of Manufacturing and Materials Processing, vol. 4, no. 3, Sep. 2020, Art. no. 89. DOI: https://doi.org/10.3390/jmmp4030089
J. P. C. Kleijnen, "Verification and validation of simulation models," European Journal of Operational Research, vol. 82, no. 1, pp. 145–162, Apr. 1995. DOI: https://doi.org/10.1016/0377-2217(94)00016-6
A.-T. Nguyen, S. Reiter, and P. Rigo, "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, vol. 113, pp. 1043–1058, Jan. 2014. DOI: https://doi.org/10.1016/j.apenergy.2013.08.061
C. J. Turner, W. Hutabarat, J. Oyekan, and A. Tiwari, "Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends," IEEE Transactions on Human-Machine Systems, vol. 46, no. 6, pp. 882–894, Sep. 2016. DOI: https://doi.org/10.1109/THMS.2016.2596099
I. J. Akpan and M. Shanker, "A comparative evaluation of the effectiveness of virtual reality, 3D visualization and 2D visual interactive simulation: an exploratory meta-analysis," SIMULATION, vol. 95, no. 2, pp. 145–170, Feb. 2019. DOI: https://doi.org/10.1177/0037549718757039
A. Ismail, H.-L. Truong, and W. Kastner, "Manufacturing process data analysis pipelines: a requirements analysis and survey," Journal of Big Data, vol. 6, no. 1, Jan. 2019, Art. no. 1. DOI: https://doi.org/10.1186/s40537-018-0162-3
J. L. Rubio-Tamayo, M. Gertrudix Barrio, and F. Garcia Garcia, "Immersive Environments and Virtual Reality: Systematic Review and Advances in Communication, Interaction and Simulation," Multimodal Technologies and Interaction, vol. 1, no. 4, Dec. 2017, Art. no. 21. DOI: https://doi.org/10.3390/mti1040021
S. Safikhani, S. Keller, G. Schweiger, and J. Pirker, "Immersive virtual reality for extending the potential of building information modeling in architecture, engineering, and construction sector: systematic review," International Journal of Digital Earth, vol. 15, no. 1, pp. 503–526, Dec. 2022. DOI: https://doi.org/10.1080/17538947.2022.2038291
A. A. Malik, T. Masood, and A. Bilberg, "Virtual reality in manufacturing: immersive and collaborative artificial-reality in design of human-robot workspace," International Journal of Computer Integrated Manufacturing, vol. 33, no. 1, pp. 22–37, Jan. 2020. DOI: https://doi.org/10.1080/0951192X.2019.1690685
T. S. Mujber, T. Szecsi, and M. S. J. Hashmi, "Virtual reality applications in manufacturing process simulation," Journal of Materials Processing Technology, vol. 155–156, pp. 1834–1838, Nov. 2004. DOI: https://doi.org/10.1016/j.jmatprotec.2004.04.401
A. Gurjanov, D. Zakoldaev, A. Shukalov, and I. Zharinov, "Cloud services of digital and smart factories of the Industry 4.0," IOP Conference Series: Materials Science and Engineering, vol. 497, no. 1, Nov. 2019, Art. no. 012042. DOI: https://doi.org/10.1088/1757-899X/497/1/012042
S. J. Mazivila and J. L. M. Santos, "A review on multivariate curve resolution applied to spectroscopic and chromatographic data acquired during the real-time monitoring of evolving multi-component processes: From process analytical chemistry (PAC) to process analytical technology (PAT)," TrAC Trends in Analytical Chemistry, vol. 157, Dec. 2022, Art. no. 116698. DOI: https://doi.org/10.1016/j.trac.2022.116698
M. Glisic, S. Sarfraz, B. Veluri, and D. Ramanujan, "A Systematic Framework for Quantifying Production System-Specific Challenges in Life Cycle Inventory Data Collection," Procedia CIRP, vol. 105, pp. 210–218, Jan. 2022. DOI: https://doi.org/10.1016/j.procir.2022.02.035
R. Kumar et al., "Live Life Cycle Assessment Implementation using Cyber Physical Production System Framework for 3D Printed Products," Procedia CIRP, vol. 105, pp. 284–289, Jan. 2022. DOI: https://doi.org/10.1016/j.procir.2022.02.047
M. Wolf et al., "Real Time Locating Systems for Human Centered Production Planning and Monitoring," IFAC-PapersOnLine, vol. 55, no. 2, pp. 366–371, Jan. 2022. DOI: https://doi.org/10.1016/j.ifacol.2022.04.221
R. Woitsch, A. Sumereder, and D. Falcioni, "Model-based data integration along the product & service life cycle supported by digital twinning," Computers in Industry, vol. 140, Sep. 2022, Art. no. 103648. DOI: https://doi.org/10.1016/j.compind.2022.103648
T. Bauernhansl et al., "Semantic Structuring of Elements and Capabilities in Ultra-flexible Factories," Procedia CIRP, vol. 93, pp. 335–340, Jan. 2020. DOI: https://doi.org/10.1016/j.procir.2020.04.010
C. Chauhan, V. Parida, and A. Dhir, "Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises," Technological Forecasting and Social Change, vol. 177, Apr. 2022, Art. no. 121508. DOI: https://doi.org/10.1016/j.techfore.2022.121508
K. Seemanthini and S. S. Manjunath, "Recognition of trivial humanoid group event using clustering and higher order local auto-correlation techniques," in Cognitive Computing for Human-Robot Interaction, M. Mittal, R. R. Shah, and S. Roy, Eds. Cambridge, MA, United States: Academic Press, 2021, pp. 253–286. DOI: https://doi.org/10.1016/B978-0-323-85769-7.00001-X
Xie B. Xie et al., "A Review on Virtual Reality Skill Training Applications," Frontiers in Virtual Reality, vol. 2, 2021, Art. no. 645153. DOI: https://doi.org/10.3389/frvir.2021.645153
K. Aati, D. Chang, P. Edara, and C. Sun, "Immersive Work Zone Inspection Training using Virtual Reality," Transportation Research Record, vol. 2674, no. 12, pp. 224–232, Dec. 2020. DOI: https://doi.org/10.1177/0361198120953146
M. Cueva, "Simulation Modeling Meets Virtual Reality, Oculus Rift," FlexSim, Feb. 12, 2016. https://www.flexsim.com/fr/g%C3%A9n%C3%A9ral/simulation-modeling-meets-virtual-reality-oculus-rift/ (accessed Oct. 26, 2022).
R. Armstrong, S. de Ribaupierre, and R. Eagleson, "A software system for evaluation and training of spatial reasoning and neuroanatomical knowledge in a virtual environment," Computer Methods and Programs in Biomedicine, vol. 114, no. 1, pp. 29–37, Apr. 2014. DOI: https://doi.org/10.1016/j.cmpb.2014.01.006
S. de Ribaupierre, R. Armstrong, D. Noltie, M. Kramers, and R. Eagleson, "VR and AR simulator for neurosurgical training," in IEEE Virtual Reality (VR), Arles, France, Mar. 2015, pp. 147–148. DOI: https://doi.org/10.1109/VR.2015.7223338
K. Wang and X. Wang, "Simulation Optimization Research on Logistics Distribution Center Picking Operation," in International Conference on Logistics Engineering, Management and Computer Science, Shenyang, China, Dec. 2014, pp. 1202–1205.
T. S. Mujber, "Development of VR-simulator software for manufacturing systems as a decision making and simulation tool," Ph.D. dissertation, Dublin City University, Dublin, Ireland, 2005.
W. B. Nordgren, "Flexible simulation (Flexsim) software: Flexsim simulation environment," in 35th Conference on Winter Simulation: Driving Innovation, New Orleans, Louisiana, Dec. 2003, pp. 197–200.
"Driving Data Security Through IoT in Business Processes," Technology Solutions | AI backed Knowledge Management, IoT, Device Care, May 15, 2019. https://www.kochartech.com/driving-efficiency-and-data-privacy-with-iot-in-bpm/ (accessed Oct. 26, 2022).
L. Malburg, R. Seiger, R. Bergmann, and B. Weber, "Using Physical Factory Simulation Models for Business Process Management Research," in International Conference on Business Process Management, Seville, Spain, Sep. 2020, pp. 95–107. DOI: https://doi.org/10.1007/978-3-030-66498-5_8
P. Klein, L. Malburg, and R. Bergmann, “FTOnto: A Domain Ontology for a Fischertechnik Simulation Production Factory by Reusing Existing Ontologies," in Proceedings of the Conference “Lernen, Wissen, Daten, Analysen" (LWDA) 2019, 2019.
R. L. Sapena, “BT-Industry 4.0 through Fischertechnik and a Digital Twin – HSLU Technik & Architektur: Bachelor- und Master-Arbeiten 2022," B.Sc. thesis, Lucerne University of Applied Sciences, 2020.
"Factory Simulation 24V." https://www.fischertechnik.de/en/service/elearning/simulating/fabrik-simulation-24v (accessed Oct. 26, 2022).
A. L. Ramos, J. V. Ferreira, and J. Barcelo, "Model-Based Systems Engineering: An Emerging Approach for Modern Systems," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 42, no. 1, pp. 101–111, Jan. 2012. DOI: https://doi.org/10.1109/TSMCC.2011.2106495
D. Kaslow, G. Soremekun, H. Kim, and S. Spangelo, "Integrated model-based systems engineering (MBSE) applied to the Simulation of a CubeSat mission," in IEEE Aerospace Conference, Big Sky, MT, USA, Mar. 2014, pp. 1–14. DOI: https://doi.org/10.1109/AERO.2014.6836317
B. A. Mousavi, C. Heavey, R. Azzouz, H. Ehm, C. Millauer, and R. Knobloch, "Use of Model-Based System Engineering methodology and tools for disruption analysis of supply chains: A case in semiconductor manufacturing," Journal of Industrial Information Integration, vol. 28, Jul. 2022, Art. no. 100335. DOI: https://doi.org/10.1016/j.jii.2022.100335
A. Akundi and V. Lopez, "A Review on Application of Model Based Systems Engineering to Manufacturing and Production Engineering Systems," Procedia Computer Science, vol. 185, pp. 101–108, Jan. 2021. DOI: https://doi.org/10.1016/j.procs.2021.05.011
A. Wortmann, B. Combemale, and O. Barais, "A Systematic Mapping Study on Modeling for Industry 4.0," in 20th International Conference on Model Driven Engineering Languages and Systems, Austin, TX, USA, Sep. 2017, pp. 281–291. DOI: https://doi.org/10.1109/MODELS.2017.14
G. Styles and R. Kalawsky, “Research Top Challenges for MBSE in Industry 4.0 and IoT – Workshop Report 291015," Oct. 2015.
Emre E. Yildiz and C. Moller, "Building a virtual factory: an integrated design approach to building smart factories," Journal of Global Operations and Strategic Sourcing, vol. 14, no. 4, pp. 608–635, Jan. 2021. DOI: https://doi.org/10.1108/JGOSS-11-2019-0061
R. Sindhwani, S. Afridi, A. Kumar, A. Banaitis, S. Luthra, and P. L. Singh, "Can industry 5.0 revolutionize the wave of resilience and social value creation? A multi-criteria framework to analyze enablers," Technology in Society, vol. 68, Feb. 2022, Art. no. 101887. DOI: https://doi.org/10.1016/j.techsoc.2022.101887
S. Nahavandi, "Industry 5.0—A Human-Centric Solution," Sustainability, vol. 11, no. 16, Jan. 2019, Art. no. 4371. DOI: https://doi.org/10.3390/su11164371
D. Ivanov, "The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives," International Journal of Production Research, pp. 1–13, Sep. 2022. DOI: https://doi.org/10.1080/00207543.2022.2118892
S. Grabowska, S. Saniuk, and B. Gajdzik, "Industry 5.0: improving humanization and sustainability of Industry 4.0," Scientometrics, vol. 127, no. 6, pp. 3117–3144, Jun. 2022. DOI: https://doi.org/10.1007/s11192-022-04370-1
D. Mourtzis, J. Angelopoulos, and N. Panopoulos, "A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0," Energies, vol. 15, no. 17, Jan. 2022, Art. no. 6276. DOI: https://doi.org/10.3390/en15176276
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