Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
In mid-1992, Japanese consultant Yamada Hitoshi was tasked with modifying the production systems of Japanese companies as the existing configurations at manufacturing plants no longer satisfied unstable demands. He made improvements to the overall production system by dividing the long assembly lines into several short ones called cells or seru. Although of the advantages, it is still unclear about how to manage this new production system, and what variables really promoted the desired benefits. We identify in total 39 articles from 2004– 2020 about the progress of the seru production system, and we observe some possibilities to improve the effectiveness of this type of the production system. The first is the possibility of manufacturing the product in flexible sequence, in which the operations are independent among them. We show through the developed example that the makespan may be different. We noted when converting the in-line production system to one pure seru, the makespan tend to increase. Nevertheless, when analyzing the effectiveness of serus working concomitantly considering splitting the same lot, makespan and the cost may be reduced. And finally, when converting to one of pure serus, the performance may be similar to that obtained when serus working concomitantly.
Wydawca
Czasopismo
Rocznik
Tom
Strony
53--70
Opis fizyczny
Bibliogr. 56 poz., rys., tab., wykr.
Twórcy
autor
- Federal University of Technology, Dept of Production Engineering, Brazil
Bibliografia
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- Chin S.Y. (2013). Virtual cells: evaluation of different lot sizing splitting strategies. International Journal of Manufacturing Research, vol. 8, no. 1, pp. 18–42. DOI: 10.1504/IJMR.2013.051838.
- Deepthi T.V., Ramakotaiah K. and Krishnaveni K. (2019). Research on performance of multi-skilled workers for sustainable production planning in seru production systems. International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 10, pp. 1–13. DOI: 10.35940/ijitee.J9172.0881019.
- Filho A.A. and Florentino H. (2018). Introduction to multiobjective optimization – scalarisation methods. V ERMAC – Regional Meeting on Applied and Computational Mathematics, Brazil.
- Gai Y., Yin Y., Tang J. and Liu S. (2020). Minimizing makespan of a production batch within concurrent systems: seru production perspective. Journal of Management Science and Engineering, in press. DOI: 10.1016/J.JMSE.2020.10.002.
- Ghosh S. and Das M.K. (2008). Non-dominated Rank based Sorting Genetic Algorithms. Fundamenta Informaticae, vol. 83, no. 3, pp. 231–252.
- Gonçalves Filho E.V. and Gorgulho Junior J.H. (2003). A computer simulation for automatic part generation with process flexibility for simulation. Gepros, vol. 2, no. 2, pp. 37–50 (in Portuguese).
- Gong J., Li Q. and Tang J.F. (2009). Improving performance of parts storage through line-cell conversion, Chinese Control and decision conference, China.
- Gorgulho Junior J.H. and Gonçalves Filho E.V. (2007). Performance analysis of distributed physical arrangements operating under parts routing with sequencing flexibility. Revista de Gest ao Industrial, vol. 3, no. 1, pp. 1–12. DOI: 10.3895/S1808-04482007000100001 (in portuguese).
- Han X.Z., Zhang Z. and Yin Y. (2018). Reliability analysis for a divisional seru production system with stochastic capacity. IEEE International Conference on Industrial Engineering and Engineering Management, Thailand.
- Han X., Zhang Z. and Yin Y. (2020). Reliability-oriented multi-resource allocation for seru production system with stochastic capacity. International Journal of Manufacturing Research, vol. 15, no. 4, pp. 371–386. DOI: 10.1504/IJMR.2020.110517.
- Hasegawa K., Fukuta Y. and Saito M. (2009). A study on the workload in seru production. The Japanese Journal of Ergonomics, vol. 45, no. 4, pp. 219–225. DOI: 10.5100/jje.45.219 (in japanese).
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- Kaku I., Gong J., Tang J. and Yin Y. (2009). Modeling and numerical analysis of line-cell conversion problems. International Journal of Production Research, vol. 47, no. 8, pp. 2055–2078. DOI: 10.1080/00207540802275889.
- Liu C.G., Dang F., Li W.J., Lian J., Evans S. and Yin Y. (2015). Production planning of multi-stage multi-option seru production systems with sustainable measures. Journal of Cleaner Production, vol. 105, pp. 285–299. DOI: 10.1016/j.jclepro.2014.03.033.
- Liu C.G., Stecke K.E., Lian J. and Yin Y. (2014). An implementation framework for seru production. International Transactions in Operational Research, vol. 21, no. 1, pp. 1–19. DOI: 10.1111/itor.12014.
- Liu C., Yang N., Li W., Lian J., Evans S. and Yin Y. (2013). Training and assignment of multiskilled workers for implementing seru production systems. The International Journal of Advanced Manufacturing Technology, vol. 69, pp. 937–959. DOI: 10.1007/s00170-013-5027-5.
- Manupati V.K., Deephti V.T., Ramakotaiah K. and Rao S.S. (2015). Reconfiguration of networked seru production systems in an Indian Perspective. International Conference on Industrial Engineering and Operations Management, United Arab Emirates.
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- Ren H. and Wang D.Y. (2019). Analysis of the effect of the line-seru conversion on the waiting time with batch arrival. Mathematical Problems in Engineering, vol. 2019, pp. 1–13. DOI: 10.1155/2019/4036794.
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- Stecke K.E., Yin Y., Kaku I. and Murase Y. (2012). Seru: the organizational extension of JIT for a supertalent factory. International Journal of Strategic Decision Sciences, vol. 3, no. 1, pp. 106–119. DOI: 10.4018/jsds.2012010104.
- Sun W., Li Q., Huo C., Yu Y. and Ma K. (2016). Formulations, features of solution space, and algorithms for line-pure seru system conversion. Mathematical Problems in Engineering, vol. 2016, pp. 1–14. DOI: 10.1155/2016/9748378.
- Sun W., Yu Y., Lou Q., Wang J.W. and Guan Y. (2019). Reducing the total tardiness by seru Production: Model, exact and cooperative coevolution solutions. International Journal of Production Research, vol. 58, no. 21, pp. 6441–6452. DOI: 10.1080/00207543.2019.1680898.
- Van der Zee D.J. and Gaalman G.J.C. (2006). Routing flexibility by sequencing flexibility–exploiting product structure for flexible process plans, Proceedings of the third international conference on group technology/cellular manufacturing, The Netherlands.
- Villa A. and Taurino T., From JIT to seru, for a production as lean as possible. Procedia Engineering, vol. 63, pp. 956–965. DOI: 10.1016/j.proeng.2013.08.172.
- Wang T. and Tang J.F. (2018). Cost and service-levelbased model for a seru production system formation problem with uncertain demand. Journal of Systems Science and Systems Engineering, vol. 27, pp. 519–537. DOI: 10.1007/s11518-018-5379-3.
- Wang Y., Zhang Z. and Yin Y. (2020). Workload-based order acceptance in seru production system. International Journal of Manufacturing Research, vol. 15, no. 3, pp. 234–251. DOI: 10.1504/IJMR.2020.108197.
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- Yin Y., Stecke K. E., Swink M. and Kaku I. (2017). Lessons from seru production on manufacturing competitively in a high cost environment. Journal of Operations Management, vol. 49–51, pp. 67–76. DOI: 10.1016/j.jom.2017.01.003.
- Ying K.C. and Tsai Y.J. (2017). Minimising total cost for training and assigning multiskilled workers in seru production systems. International Journal of Production Research, vol. 55, no. 10, pp. 2978–2989. DOI: 10.1080/00207543.2016.1277594.
- Yilmaz O.F. (2020a). Operational strategies for seru production system: a bi-objective optimisation model and solution methods, in Int. J. Prod. Res., vol. 58, no. 11, pp. 3195–3219.
- Yilmaz O.F. (2020b). Attaining flexibility in seru production system by means of Shojinka: an optimization model and solution approaches. Computers & Operations Research, vol. 119, pp. 104917. DOI: 10.1016/j.cor.2020.104917.
- Yu Y., Sun W., Tang J.F. and Wang J.W. (2017). Linehybrid seru system conversion: Models, complexities, properties, solutions and insights. Computers & Industrial Engineering, vol. 103, pp. 282–299. DOI: 10.1016/j.cie.2016.11.035.
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0535742f-ba86-44bc-bb05-88aa88a48ac3