A Scoping Review of Simulation-based Optimization Applied to Flexible Shop Floor

LONCAR, Petra; SCHLEICH, Julien; Van Miegroet, Laurent; BOUVRY, Pascal

doi:10.1109/ICSEC62781.2024.10770633

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A Scoping Review of Simulation-based Optimization Applied to Flexible Shop Floor

LONCAR, Petra; SCHLEICH, Julien; Van Miegroet, Laurent et al.

2024 • In International Computer Science and Engineering Conference, (2024), p. 1-6

Peer reviewed

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https://hdl.handle.net/10993/66861

DOI
10.1109/ICSEC62781.2024.10770633

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Keywords :

discrete-event simulation; flexible flow shop; flexible job shop; lot sizing; simulation-based optimization; 'current; Discrete-event simulations; Flexible flowshop; Flexible job shops; Lot sizing; Optimization approach; Research trends; Scoping review; Shopfloors; Simulation-based optimizations; Computer Networks and Communications; Computer Science Applications; Computer Vision and Pattern Recognition; Information Systems; Software; Information Systems and Management; Renewable Energy, Sustainability and the Environment; Control and Optimization

Abstract :

[en] This scoping review aims to assess the current use of simulation-based optimization approaches to address the complex challenges on the flexible shop floor. The primary focus is to identify emerging research trends and methodologies that drive successful production, while also outlining any existing gaps in the literature. A total of 56 research publications from Scopus, IEEE Xplore and Google Scholar databases were reviewed and analyzed. The research findings indicate that most of the analyzed studies focused on the Genetic Algorithm, an adaptive nature-inspired metaheuristic optimization algorithm, using proprietary licensed discrete-event simulators. This review highlights and proposes new opportunities for future research.

Disciplines :

Computer science

Author, co-author :

LONCAR, Petra ; University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Computer Science > Team Pascal BOUVRY

SCHLEICH, Julien ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > HPC Platform

Van Miegroet, Laurent; Goodyear Innovation Center Luxembourg, Grand-Duchy of Luxembourg, Goodyear SA, Luxembourg

BOUVRY, Pascal ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

External co-authors :

Language :

English

Title :

A Scoping Review of Simulation-based Optimization Applied to Flexible Shop Floor

Publication date :

2024

Event name :

2024 28th International Computer Science and Engineering Conference (ICSEC)

Event place :

Khon Kaen, Tha

Event date :

06-11-2024 => 08-11-2024

Journal title :

International Computer Science and Engineering Conference

ISSN :

2381-5035

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Issue :

2024

Pages :

1-6

Peer reviewed :

Peer reviewed

Additional URL :

http://xplorestaging.ieee.org/ielx8/10770695/10770625/10770633.pdf?arnumber=10770633

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since 16 December 2025

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Bibliography

Law, A. M. and McComas, M. G., "Simulation-based optimization, " Winter Simul. Conf. Proc. (Cat. No. 00CH37165), Orlando, FL, USA, vol. 1, pp. 46-49, 2000.
Kim, H. H. et al., "Tire mixing process scheduling using particle swarm optimization, " Comput. Ind. Eng., vol. 110, pp. 333-343, 2017.
Guo, J. et al., "A GAPN approach for the flexible job-shop scheduling problem with indirect energy and time-of-use electricity pricing, " Processes, vol. 10, no. 5: 832, p. 27, 2022.
Gorria, C. and Lezaun, M., "Optimization of the scheduling of the compound production machines in a tires factory, " Progress in Ind. Math.: Success Stories, SEMA SIMAI Springer Series, vol. 5, Springer, Cham, pp. 115-129, 2021.
Wu, X., Shen, X. and Cui, Q., "Multi-objective flexible flow shop scheduling problem considering variable processing time due to renewable energy, " Sustainability, vol. 10, no. 3: 841, p. 30, 2018.
Dudas, C., Frantzen, M. and Ng, A. H. C., "A synergy of multi-objective optimization and data mining for the analysis of a flexible flow shop, " Robot. and Comput.-Integr. Manuf., vol. 27, issue 4, pp. 687-695, 2011.
Liu, T.-K., Chen, Y.-P. and Chou, J.-H., "Solving distributed and flexible job-shop scheduling problems for a real-world fastener manufacturer, " IEEE Access, vol. 2, pp. 1598-1606, 2014.
Borreguero-Sanchidrian, T. et al., "Flexible job shop scheduling with operators in aeronautical manufacturing: A case study, " IEEE Access, vol. 6, pp. 224-233, 2018.
Wang, Y. and Xie, N., "Flexible flow shop scheduling with interval grey processing time, " Grey Syst.: Theory and Appl., vol. 11, no. 4, pp. 779-795, 2021.
Lin, J. and Chen, C.-M., "Simulation optimization approach for hybrid flow shop scheduling problem in semiconductor back-end manufacturing, " Simul. Model. Pract. and Theory, vol. 51, pp. 100-114, 2015.
Lenstra, J. K. and Vakhania, N., "On the complexity of scheduling unrelated parallel machines with limited preemptions, " Oper. Res. Lett., vol. 51, issue 2, pp. 187-189, 2023.
Dauzere-Peres, S. et al., "The flexible job shop scheduling problem: A review, " Eur. J. of Operat. Res., vol. 314, issue 2, pp. 409-432, 2024.
Wang, H., "Flexible flow shop scheduling: optimum, heuristics and artificial intelligence solutions, " Expert Syst. J. Knowl. Eng., vol. 22, no. 2, pp. 78-85, 2005.
Lee, T.-S. and Loong, Y.-T., "A review of scheduling problem and resolution methods in flexible flow shop, " Int. J. of Ind. Eng.comput., vol. 10, issue 1, pp. 67-88, 2019.
Drexl, A. and Kimms, A., "Lot sizing and scheduling-Survey and extensions, " Eur. J. of Operat. Res., vol. 99, issue 2, pp. 221-235, 1997.
Carson, Y. and Maria, A., "Simulation Optimization: Methods And Applications, " Winter Simul. Conf. Proc., Atlanta, GA, USA, pp. 118-126, 1997.
Amaran, S. et al., "Simulation optimization: A review of algorithms and applications, " Ann. Oper. Res., vol. 240, pp. 351-380, 2016.
Gosavi, A., "Simulation-based optimization: Parametric optimization techniques and reinforcement learning, " Springer New York, NY, 2nd edition, 2014.
Trigueiro de Sousa Junior, W. et al., "Discrete simulation-based optimization methods for industrial engineering problems: A systematic literature review, " Comput. & Ind. Eng., vol. 128, pp. 526-540, 2019.
Malekpour, H., Hafezalkotob, A. and Khalili-Damghani, K., "Product processing prioritization in hybrid flow shop systems supported on Nash bargaining model and simulation-optimization, " Expert Syst. with Appl., vol. 180, 115066, p. 15, 2021.
Istokovic, D., Perinic, M. and Boric, A., "Determining the minimum waiting times in a hybrid flow shop using simulation-optimization approach, " Tech. Gaz., vol. 28, issue 2, pp. 568-575, 2021.
Istokovic, D. et al., "Minimizing total production cost in a hybrid flow shop: A simulation-optimization approach, " Int. J. Simul. Model., vol. 19, issue 4, pp. 559-570, 2020.
Azadeh, A. et al., "An efficient simulation-neural network-genetic algorithm for flexible flow shops with sequence-dependent setup times, job deterioration and learning effects, " Neural Comput. & Applic., vol. 31, pp. 5327-5341, 2019.
Caricato, P., Grieco, A. and Nucci, F., "Simulation and mathematical programming for a multi-objective configuration problem in a hybrid flow shop, " Winter Simul. Conf. Proc., Miami, FL, USA, pp. 1820-1828, 2008.
Aurich, P. et al., "Simulation-based optimization of a four stage hybrid flow shop with sequence-dependent setup times and availability constraints, " Int. Conf. on Model. and Appl. Simul. Proc., MAS 2017, pp. 144-152, 2017.
Lin, J. T. et al., "Simulation optimization with PSO and OCBA for semiconductor back-end assembly, " J. of Ind. and Production Eng., vol. 30, issue 7, pp. 452-460, 2013.
Lin, J. T. and Chen, C.-M., "Simulation optimization with GA and OCBA for semiconductor back-end assembly scheduling, " 2015 Int. Conf. on Ind. Eng. and Oper. Manag. (IEOM), Dubai, United Arab Emirates, pp. 1-8, 2015.
Gheisariha, E. et al., "A simulation-optimization model for solving flexible flow shop scheduling problems with rework and transportation, " Math. and Comput. in Simul., vol. 180, pp. 152-178, 2021.
Laroque, C. et al., "A biased-randomized discrete-event algorithm for the hybrid flow shop problem with time dependencies and priority constraints, " Algorithms, vol. 15, no. 2:54, p. 14, 2022.
Gonzalez-Neira, E. M. et al., "Stochastic flexible flow shop scheduling problem under quantitative and qualitative decision criteria, " Comput. & Ind. Eng., vol. 101, pp. 128-144, 2016.
Krenczyk, D. and Paprocka, I., "Integration of discrete simulation, prediction, and optimization methods for a production line digital twin design, " Materials, vol. 16, no. 6:2339, p. 21, 2023.
Nahhas, A. et al., "Metaheuristic and hybrid simulation-based optimization for solving scheduling problems with major and minor setup times, " Int. Conf. on Model. and Appl. Simul. Proc., MAS 2017, Barcelona, Spain, p. 10, 2017.
Li, X. et al., "A new method coupling simulation and a hybrid metaheuristic to solve a multiobjective hybrid flowshop scheduling problem, " Proc. of the 7th Conf. of the Eur. Society for Fuzzy Logic and Technol. (EUSFLAT-11), pp. 1082-1089, 2011.
Liu, Y. et al., "Agent-based simulation and optimization of hybrid flow shop considering multi-skilled workers and fatigue factors, " Robot. and Comput.-Integr. Manuf., vol. 80, 102478, p. 14, 2023.
Zeng, Q. and Yang, Z., "Integrating simulation and optimization to schedule loading operations in container terminals, " Comput. & Oper. Res., vol. 36, issue 6, pp. 1935-1944, 2009.
Nahhas, A. et al., "Heuristic and metaheuristic simulation-based optimization for solving a hybrid flow shop scheduling problem, " Int. Conf. on Model. and Appl. Simul. Proc., MAS 2016, Cyprus, p. 10, 2016.
Ammouriova, M. et al., "A biased-randomized simheuristic for a hybrid flow shop with stochastic processing times in the semiconductor industry, " Winter Simul. Conf. Proc., Singapore, pp. 1888-1898, 2022.
Aurich, P. et al., "Simulation-based optimization for solving a hybrid flow shop scheduling problem, " Winter Simul. Conf. Proc., Washington, DC, USA, pp. 2809-2819, 2016.
B. Rolf et al., "Scheduling Jobs in a Two-Stage Hybrid Flow Shop with a Simulation-Based Genetic Algorithm and Standard Dispatching Rules, " Winter Simul. Conf. Proc., Orlando, FL, USA, pp. 1584-1595, 2020.
Hsieh, L. Y. and Cheng, C.-B., "Efficient due-date quoting and production scheduling for integrated circuit packaging with reentrant processes, " IEEE Trans. on Compon., Packag. and Manuf. Technol., vol. 8, no. 8, pp. 1487-1495, 2018.
Gahagan, S. M. and Herrmann, J. W., "Finding the optimal production control policy using the production control framework, " Winter Simul. Conf. Proc., Orlando, FL, USA, p. 10, 2005.
Yu, Q., Zhang, C. and Wang, J., "The research of simulation and optimization of multimodal transport system based on intelligent materials on container terminal job scheduling, " Adv. in Comput. Sci., Intell. Syst. and Environ., Adv. in Intell. and Soft Comput., vol. 104, Springer, Berlin, Heidelberg, pp. 479-483, 2011.
Mihoubi, B., Bouzouia, B. and Gaham, M., "Reactive scheduling approach for solving a realistic flexible job shop scheduling problem, " Int. J. of Prod. Res., vol. 59, issue 19, pp. 5790-5808, 2020.
C ervenanska Z. et al., "Multi-criteria optimization in operations scheduling applying selected priority rules, " Appl. Sci., vol. 11, no. 6:2783, p. 24, 2021.
Rahmati, S. H. A., Ahmadi, A. and Karimi, B., "Developing simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem, " Sci. Iran., vol. 25, issue 5, pp. 2788-2806, 2018.
Kulkarni, P. and Venkateswaran, J., "Simulation and optimisation based approach for job shop scheduling problems, " 2016 IEEE Int. Conf. on Ind. Eng. and Eng. Manag. (IEEM), Bali, Indonesia, pp. 360-364, 2016.
Shahbazi, B. and Rahmati, S.H.A., "Developing a flexible manufacturing control system considering mixed uncertain predictive maintenance model: A simulation-based optimization approach, " Oper. Res. Forum, vol. 2, no. 51, p. 43, 2021.
Rahmati, S. H. A., Ahmadi, A. and Karimi, B., "Multi-objective evolutionary simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem, " Swarm and Evol.comput., vol. 40, pp. 255-271, 2018.
Nekouei-Shahraki, M., Abraham, A. and Lotfi, M. M., "Minimizing tardiness in stochastic flexible job shop problem, " Innov. in Bio-Inspired Comput. and Appl., IBICA 2020, Advances in Intell. Systs. and Comput., vol. 1372, Springer, Cham, pp. 86-96, 2021.
Nicoara, E. S., Filip, F. G. and Paraschiv, N., "Simulation-based optimization using genetic algorithms for multi-objective flexible JSSP, " Studies in Informat. and Control, vol. 20, no. 4, pp. 333-344, 2011.
Rahmati, S.H.A., Ahmadi, A. and Govindan, K., "A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem: simulation-based optimization approach, " Ann. Oper. Res., vol. 269, pp. 583-621, 2018.
Gupta, S. et al., "A study on simulation-based optimization of a stochastic flexible job shop scheduling undergoing preventive maintenance with sequence-dependent setup time, " Int. J. Interact. Des. Manuf., p. 18, 2023.
Danielsson, F., Svensson, B. and Reddy, D., "A genetic algorithm with shuffle for job shop scheduling problems, " Proc. of the Modell. and simul. 2015: The Eur. simul. and model. conf., Leicester, United Kingdom, pp. 363-367, 2015.
Amiri, F., Shirazi, B. and Tajdin, A., "Multi-objective simulation optimization for uncertain resource assignment and job sequence in automated flexible job shop, " Appl. Soft Comput., vol. 75, pp. 190-202, 2019.
Ghaedy-Heidary, N. et al., "A simulation optimization framework to solve stochastic flexible job-shop scheduling problems-case: Semiconductor manufacturing, " Comput. & Oper. Res., vol. 163, 106508, p. 22, 2024.
Gupta, S. and Jain, A., "Impact of preventive maintenance and machine breakdown on performance of stochastic flexible job shop scheduling with setup time, " J. of Sci. and Ind. Res., vol. 81, issue 11, pp. 1195-1203, 2022.
Mokhtari, H. and Dadgar, M., "Scheduling optimization of a stochastic flexible job-shop system with time-varying machine failure rate, " Comput. & Oper. Res., vol. 61, pp. 31-45, 2015.
Perez-Rodriguez, R. et al., "Simulation optimization for a flexible jobshop scheduling problem using an estimation of distribution algorithm, " Int. J. Adv. Manuf. Technol., vol. 73, pp. 3-21, 2014.
Wang, G.C., Li, C.P. and Cui, H.Y., "Simulation optimization of multiobjective flexible job shop scheduling, " Appl. Mech. and Mater., vol. 365-366, pp. 602-605, 2013.
Caldeira, R.H. and Gnanavelbabu, A., "A simheuristic approach for the flexible job shop scheduling problem with stochastic processing times, " Simulation, vol. 97, no. 3, pp. 215-236, 2021.
Mihoubi, B. et al., "A rule-based harmony search simulation-optimization approach for intelligent control of a robotic assembly cell, " 3rd Int. Conf. on Control, Eng. and Infor. Tech. (CEIT), Tlemcen, Algeria, pp. 1-6, 2015.
Jiang, T. and Deng, G., "Optimizing the low-carbon flexible job shop scheduling problem considering energy consumption, " IEEE Access, vol. 6, pp. 46346-46355, 2018.
Wang, S. et al., "An estimation of distribution algorithm for the multiobjective flexible job-shop scheduling problem, " 2013 IEEE Symp. on Comput. Intell. in Sched. (CISched), Singapore, pp. 1-8, 2013.
Feng, X., Zhao Z. and Zhang, C., "Simulation optimization framework for online deployment and adjustment of reconfigurable machines in job shops, " 2020 IEEE Int. Conf. on Ind. Eng. and Eng. Manag. (IEEM), Singapore, Singapore, pp. 731-735, 2020.
Gu, X.-L., Huang M. and Liang, X., "A discrete particle swarm optimization algorithm with adaptive inertia weight for solving multiobjective flexible job-shop scheduling problem, " IEEE Access, vol. 8, pp. 33125-33136, 2020.
Xu, M. et al., "Genetic programming with lexicase selection for largescale dynamic flexible job shop scheduling, " IEEE Trans. on Evol.comput., p. 15, 2023.
Zhao, C. et al., "Production control to reduce starvation in a partially flexible production-inventory system, " IEEE Trans. on Autom. Control, vol. 63, no. 2, pp. 477-491, 2018.
Hipp, U. et al., "Simulation-based robust scheduling for smart factories considering improved test strategies, " 2020 Annu. Rel. and Maint. Symp. (RAMS), Palm Springs, CA, USA, pp. 1-7, 2020.
Vieira, M. et al., "Simulation-optimization approach for the decisionsupport on the planning and scheduling of automated assembly lines, " 13th APCA Int. Conf. on Autom. Control and Soft Comput. (CONTROLO), Ponta Delgada, Portugal, pp. 265-269, 2018.
Andersson, M., Ng, A. H. C. and Grimm, H., "Simulation optimization for industrial scheduling using hybrid genetic representation, " Winter Simul. Conf. Proc., Miami, FL, USA, pp. 2004-2011, 2008.
Morito, S., Mizoguchi, K. and Lee, K. H., "Exploration of a minimum tardiness dispatching priority for a flexible manufacturing system-A combined simulation/optimization approach, " Winter Simul. Conf. Proc., Los Angeles, CA, USA, pp. 829-837, 1993.
Kuck, M. et al., "Potential of data-driven simulation-based optimization for adaptive scheduling and control of dynamic manufacturing systems, " Winter Simul. Conf. Proc., Washington, DC, USA, pp. 2820-2831, 2016.
Badr, I. and Gohner, P., "A generic simulation environment for agentbased FMS scheduling, " 2011 9th IEEE Int. Conf. on Ind. Informat., Lisbon, Portugal, pp. 465-470, 2011.
Jaber, M. Y., Peltokorpi, J. and Smunt, T. L., "The lot size problem and the learning curve: A review of mathematical modeling (1950's-2020), " Appl. Math. Model., vol. 105, pp. 832-859, 2022.
Glock, C. H., Grosse, E. H. and Ries, J. M., "The lot sizing problem: A tertiary study, " Int. J. of Prod. Econ., vol. 155, pp. 39-51, 2014.