83
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A simulation-based modelling approach for a production line with nested-loop work sequences

, , &
Pages 584-603 | Received 02 Jun 2022, Accepted 23 Jan 2024, Published online: 07 Feb 2024

References

  • Abdulhasan, B. B. (2009). Integrating assembly planning and line balancing using precedence diagram. Engineering and Technology Journal, 27(5), 1017–1025. https://doi.org/10.30684/etj.27.5.15
  • Banks, J., Carson II, J. S., Nelson, B. L., & Nicol, D. M. (2004). Discrete-Event System Simulation (4th ed.). Prentice Hall, Pearson.
  • Barrientos-Ramos, N., Tapia-Cayetano, L., Maradiegue-Tuesta, F., & Raymundo, C. (2020, July 27–31). Lean manufacturing model of waste reduction using standardized work to reduce the defect rate in textile MSEs [paper presentation]. The 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Engineering, Integration, and Alliances for a Sustainable Development” “Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy”, Bogota, DC, Colombia, Virtual Edition.
  • Belil, S., Tchernev, N., & Kemmoé-Tchomté, S. (2019). Simulation based optimization decision support tool for production planning. IFAC PapersOnline, 52(13), 2402–2407. https://doi.org/10.1016/j.ifacol.2019.11.566
  • Bhamu, J., & Sangwan, K. S. (2014). Lean manufacturing: Literature review and research issues. International Journal of Operations & Production Management, 34(7), 876–940. https://doi.org/10.1108/IJOPM-08-2012-0315
  • Büyüksaatçi, S., Tüysüz, F., & Bılen, K. (2015, May 27–29). Balancing and simulation of assembly line in an LCD manufacturing company [ Paper presentation]. The 2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO), Istanbul, Turkey.
  • Dang, Q.-V., & Pham, K. (2016). Design of a footwear assembly line using simulation-based ALNS. Procedia CIRP, 40, 596–601. https://doi.org/10.1016/j.procir.2016.01.140
  • Elkhairi, A., Fedouaki, F., & Alami, S. E. (2019). Barriers and critical success factors for implementing lean manufacturing in SMEs. IFAC PapersOnline, 52(13), 565–570. https://doi.org/10.1016/j.ifacol.2019.11.303
  • Fabri, M., Ramalhinho, H., & Muñoz, J. C. (2022). Internal logistics flow simulation: A case study in automotive industry. Journal of Simulation, 16(2), 204–216.
  • Hengst, M. D., Vreede, G.-J. D., & Maghnouji, R. (2007). Using soft or principles for collaborative simulation: A case study in the Dutch airline industry. The Journal of the Operational Research Society, 58(5), 669–682. https://doi.org/10.1057/palgrave.jors.2602353
  • Hewitt, S. T. (2002). Comparing analytical and discrete-event simulation models of manufacturing systems [ Master’s thesis]. University of Maryland, College Park.
  • Huang, Z., Kim, J., Sadri, A., Dowey, S., & Dargusch, M. S. (2019). Industry 4.0: Development of a multi-agent system for dynamic value stream mapping in SMEs. Journal of Manufacturing Systems, 52(A), 1–12. https://doi.org/10.1016/j.jmsy.2019.05.001
  • Johansson, J. (2009, March 30-31). Analysing discrete event simulation modelling activities applied in manufacturing system design [ Paper presentation]. The 19th CIRP Design Conference – Competitive Design, Cranfield, UK.
  • Kays, H. M. E., Prodhan, S. M., Karia, N., Karim, A. N. M., & Sharif, S. B. (2019). Improvement of operational performance through value stream mapping and Yamazumi chart: A case of Bangladeshi RMG industry. International Journal of Recent Technology and Engineering, 8(4), 11977–11986. https://doi.org/10.35940/ijrte.D9926.118419
  • Kumar, R. N., Mohan, R., & Gobinath, N. (2021). Improvement in production line efficiency of hemming unit using line balancing techniques. Materials Today: Proceedings, 46(2), 1459–1463. https://doi.org/10.1016/j.matpr.2021.03.020
  • Liker, J. K., & Meier, D. (2006). The Toyota Way Fieldbook: A practical Guide for implementing Toyota’s 4Ps. McGraw-Hill.
  • Longo, F., & Mirabelli, G. (2009). Effective design of an assembly line using modelling and simulation. Journal of Simulation, 3(1), 50–60. https://doi.org/10.1057/jos.2008.18
  • Mariz, R. N., Picchi, F. A., & Granja, A. D. (2013, July 29– August 2). Application of standardized work in Franki piles concrete work [ Paper presentation]. The 21th Annual Conference of the International Group for Lean Construction, Fortaleza, Brazil.
  • Mendes, A. R., Ramos, A. L., Simaria, A. S., & Vilarinho, P. M. (2005). Combining heuristic procedures and simulation models for balancing a PC camera assembly line. Computers & Industrial Engineering, 49(3), 413–431. https://doi.org/10.1016/j.cie.2005.07.003
  • Millstein, M. A. (2014). Takt time grouping: A method to implement kanban-flow manufacturing in an unbalanced process with moving constraints [ Doctoral dissertation]. University of Missouri – St. Louis.
  • Monden, Y. (2012). Toyota production system: An integrated approach to just-in-time. CRC Press, Taylor & Francis Group.
  • Nagi, M., Chen, F. F., & Wan, H. (2017). Throughput rate improvement in a multiproduct assembly line using lean and simulation modeling and analysis. Procedia Manufacturing, 11, 593–601. https://doi.org/10.1016/j.promfg.2017.07.153
  • Oksuz, M. K., Buyukozkan, K., & Satoglu, S. I. (2017). U-shaped assembly line worker assignment and balancing problem: A mathematical model and two meta-heuristics. Computers & Industrial Engineering, 112, 246–263. https://doi.org/10.1016/j.cie.2017.08.030
  • Oliveira, R. I., Sousa, S. O., & Campos, F. C. (2019). Lean manufacturing implementation: Bibliometric analysis 2007–2018. International Journal of Advanced Manufacturing Technology, 101(1–4), 979–988. https://doi.org/10.1007/s00170-018-2965-y
  • Pereira, A., Abreu, M. F., Silva, D., Alves, A. C., Oliveira, J. A., Lopes, I., & Figueiredo, M. C. (2016). Reconfigurable standardized work in a lean company – a case study. Procedia CIRP, 52, 239–244. https://doi.org/10.1016/j.procir.2016.07.019
  • Pisuchpen, R., & Chansangar, W. (2014). Modifying production line for productivity improvement: A case study of vision lens factory. Songklanakarin Journal of Science and Technology, 36(3), 345–357.
  • Puvanasvaran, A. P., Hamid, M. N. H. A., & Yoong, S. S. (2018). Cycle time reduction for coil setup process through standard work: Case study in ceramic industry. ARPN Journal of Engineering & Applied Sciences, 13(1), 210–220.
  • Rathod, B., Shinde, P., Raut, D., & Waghmare, G. (2016). Optimization of cycle time by lean manufacturing techniques – line balancing approach. International Journal for Research in Applied Science and Engineering Technology, 4(5), 224–229.
  • Robinson, S., Worthington, C., Burgess, N., & Radnor, Z. J. (2014). Facilitated modelling with discrete-event simulation: Reality or myth? European Journal of Operational Research, 234(1), 231–240. https://doi.org/10.1016/j.ejor.2012.12.024
  • Rossini, M., Audino, F., Costa, F., Cifone, F. D., Kundu, K., & Portioli-Staudacher, A. (2019). Extending lean frontiers: A kaizen case study in an Italian MTO manufacturing company. International Journal of Advanced Manufacturing Technology, 104(5–8), 1869–1888. https://doi.org/10.1007/s00170-019-03990-x
  • Rusli, H. M., Jaffar, A., Muhamud-Kayat, S., & Ali, M. T. (2014, January 7-9). Implementation of lean manufacturing through supplier kaizen framework – A case study [ Paper presentation]. The 2014 International Conference on Industrial Engineering and Operations Management, Bali, Indonesia.
  • Salleh, N. A. M., Kasolang, S., & Jaffar, A. (2012). Simulation of integrated total quality management (TQM) with lean manufacturing (LM) practices in forming process using delmia quest. Procedia Engineering, 41, 1702–1707. https://doi.org/10.1016/j.proeng.2012.07.371
  • Siemens. (2023). Tecnomatix Plant Simulation. Retrieved September 28, 2023, from https://plm.sw.siemens.com/en-US/tecnomatix/products/plant-simulation-software.
  • Sikora, C. G. S., Lopes, T. C., & Magatao, L. (2017). Traveling worker assembly line (re)balancing problem: Model, reduction techniques, and real case studies. European Journal of Operational Research, 259(3), 949–971. https://doi.org/10.1016/j.ejor.2016.11.027
  • Sime, H., Jana, P., & Panghal, D. (2019). Feasibility of using simulation technique for line balancing in apparel industry. Procedia Manufacturing, 30, 300–307. https://doi.org/10.1016/j.promfg.2019.02.043
  • Sly, D. (2018). Integrating 3D product models with assembly line balancing via process consumption. Procedia Manufacturing, 17, 183–189. https://doi.org/10.1016/j.promfg.2018.10.034
  • Soliman, M., Saurin, T. A., & Anzanello, M. J. (2018). The impacts of lean production on the complexity of socio-technical systems. International Journal of Production Economics, 197, 342–357. https://doi.org/10.1016/j.ijpe.2018.01.024
  • Suzumura, K., Watanabe, I., Morita, M., & Arima, Y. (1973). TPS Manual. (M. Warren, Trans.). Japan Management Association.
  • Uriarte, A. G., Moris, M. U., Ng, A. H. C., & Oscarsson, J. (2015, December 6–9). Lean, simulation, and optimization: A win-win combination [Paper presentation]. The 2015 Winter Simulation Conference (WSC),
  • Vijay, S., & Prabha, M. G. (2021). Work standardization and line balancing in a windmill gearbox manufacturing cell: A case study. Materials Today: Proceedings, 46(19), 9721–9729. https://doi.org/10.1016/j.matpr.2020.08.584
  • Wang, J., Chang, Q., Xiao, G., Wang, N., & Li, S. (2011). Data driven production modeling and simulation of complex automobile general assembly plant. Computers in Industry, 62(7), 765–775. https://doi.org/10.1016/j.compind.2011.05.004
  • Yang, T., Fu, H., & Yang, C. (2002). A simulation-based dynamic operator assignment strategy considering machine interference – a case study on integrated circuit chip moulding operations. Production Planning & Control, 3(6), 541–551. https://doi.org/10.1080/0953728021000014945
  • Zhou, W., Li, S., Huang, Y., & Wang, J. (2018). Simulation-based planning of a kind of complex product general assembly line. Procedia CIRP, 76, 25–30. https://doi.org/10.1016/j.procir.2018.01.032
  • Zupan, H., & Herakovic, N. (2015). Production line balancing with discrete event simulation: A case study. IFAC-Papersonline, 48(3), 2305–2311. https://doi.org/10.1016/j.ifacol.2015.06.431

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.