Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science

UNDERSTANDing THE PURCHASing PORTFOLIO MODEL – A JUST-IN-SEQUENCE APPROACH INCREASing MANUFACTURing EFFICIENCY


DOI: 10.5937/jaes0-30742 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 19 article 871 pages: 926-933

János Juhász*
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Miskolc, Hungary

Dr. habil. Tamás Bányai
University of Miskolc, Faculty of Mechanical Engineering and Informatics, Miskolc, Hungary

Just-in-sequence supply solutions are highly searched problems of the scheduling the manufacturing and logistics resources. The cost reduction, efficiency and capacity utilization are based on the controlled and designed parameters of the participants' supply processes and services. To increase logistic operations and other services in supply chain’s inventory activities, the optimization of the supply process is unavoidable. The aim of this article to measure the efficiency of the supply chain’s inventory activities in manufacturing technology processes. Based on the results of the application of our ABC-XYZ model approach to defines the importance of product values in the inventory management systems. The case study and computational results validate the matrix model and evaluates its efforts to renewing manufacturing and delivery processes's efficiency in inventory strartegies based on just-in-sequence strategy.

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The described article was carried out as part of the NTP-SZKOLL-20-0022 National Talent Program of the Ministry of Human Capacities.

1. Lage J., M. & Godinho, F. M. (2010). Variations of the kanban system: Literature review and classification. International Journal of Production Economics, Elsevier, vol. 125(1), 13-21, May, DOI: 10.1016/j.ijpe.2010.01.009

2. Kroos, K., & Binder, J. (1997). Just-in-sequence delivery of complex chassis systems. Technische Mitteilungen Krupp (English Edition), 28-35.

3. Cedillo-Campos, M., Morones Ruelas, D., Lizarraga-Lizarraga, G., Gonzalez-Feliu, J., & Garza-Reyes, J. (2017). Decision policy scenarios for just-in-sequence (JIS) deliveries. Journal of Industrial Engineering and Management, 10(4), 581-603, DOI: http://dx.doi.org/10.3926/jiem.2090

4. Behnken, E. (2004). Strategic networks as form of organisation. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 99, No. 12, 731–734, DOI: 10.3139/104.100826.

5. Funke, L., Rottler, R., Tracht, K. (2013). Rationalizing in the production of intermediate goods. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 108, No. 11, 869-871, DOI: 10.3139/104.111042

6. Mochalin, S.M., Tyukina, L.V., Novikova, T.V., Pogulyaeva, I.V., Romanenko, E.V. (2016). Problems of inter-organizational interaction of participants in motor transport cargo shipments. Indian Journal of Science and Technology, Vol. 9, No. 21, 1-7, DOI: 10.17485/ijst/2016/v9i21/95220

7. Sulgan, M., Sosedova, J. (2014). Procurement of materials and components for manufacturing activity. Komunikacie, Vol. 16, No. 2, 58–62.

8. Roters, F. (2000). Just-in-Sequence - The next logical step, Bekleidung Wear, pp. 30–33.

9. Wagner, S.M., Silveira-Camargos, V. (2011). Decision model for the application of just-in-sequence. In: International Journal of Production Research, Vol. 49, No. 19, 5713-5736, DOI: 10.1080/00207543.2010.505216

10. Hüttmeir, A., de Treville, S., van Ackere, A., Monnier, L., Prenninger, J. (2009). Trading off between heijunka and just-in-sequence. International Journal of Production Economics, Vol. 118, No. 2, 501–507, DOI: 10.1016/j.ijpe.2008.12.014.

11. Hillis, D. (2007). The thinking trucks. In: Manufacturing Engineer, Vol. 86, No. 1, 32–35, DOI: 10.1049/me:20070107.

12. Wildemann, H., Faust, P. (2004). Just-in-sequence audits towards partnership-based optimization of processes in the automotive industry. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 99, No. 4, 157–161, DOI: 10.3139/104.100757

13. Wagner, S.M., Silveira-Camargos, V. (2012). Managing risks in just-in-sequence supply networks: Exploratory evidence from automakers. IEEE Transactions on Engineering Management, Vol. 59, No. 1, 5659473, 52-64, DOI: 10.1109/TEM.2010.2087762

14. Plöger, M., Haasis, H.-D. (2008). Equitably taken just-in-sequence supply in production networks. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 103, No. 9, 613–615, DOI: 10.3139/104.101334

15. Piran, F.S., Bortolini, F., Antunes, J. (2015). Strategic positioning, classic manufacturing strategy and manufacturing strategy of hyundai motor company: An analysis. In: Espacios, Vol. 36, No. 3, 5. Nunes, F.D.L.

16. Zacharias, W. (2002). Triaton. Castrum sequence - The control center for just-in-sequence module production in the automotive supply industry. Technische Mitteilungen Krupp, 8+63–66.

17. Boysen N., Emde S. (2019). Scheduling the part supply of mixed-model assembly lines in line-integrated supermarkets. European Journal of Operational Research, Volume 239, Issue 3, 820-829, DOI: https://doi.org/10.1016/j.ejor.2014.05.029

18. Kang, Y.-S., Kim, H., & Lee, Y.-H. (2018). Implementation of an RFID-Based Sequencing-Error-Proofing System for Automotive Manufacturing Logistics. Applied Sciences, 8(1), 109, DOI: 10.3390/app8010109

19. He, C.-P., Zheng, Y., Wang, L.-Y., Ma, D.-Z. (2014). RFID application research for discrete manufacturing. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, Vol. 20, No. 5, 1160-1170, DOI: 10.13196/j.cims.2014.05.hechangpeng.1160.11.20140519

20. Gottsauner, B. (2007). RFID systems in just-in-sequence production. In: AutoTechnology, Vol. 7, 48–51.

21. Cedillo-Campos M. G., Lizarraga-Lizarraga G., C. D. Martner-Peyrelongue (2017). MiF3 method: Modeling intermodal fluidity freight flows. Research in Transportation Economics, Volume 61, 15-24, DOI: https://doi.org/10.1016/j.retrec.2017.01.001

22. Chen, R.-S., Tu, M. (2009). Development of an agent-based system for manufacturing control and coordination with ontology and RFID technology. Expert Systems with Applications, Vol. 36, No. 4, 7581–7593, DOI: 10.1016/j.eswa.2008.09.068

23. Hofmann E., Rüsch M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, Volume 89, 23-34, DOI: https://doi.org/10.1016/j.compind.2017.04.002

24. Borucki, J., Pawlewski, P., Chowanski, W. (2014). Mixing ABS and DES Approach to Modeling of a Delivery Process in the Automotive Industry. Communications in Computer and Information Science, Vol. 430, 133–143, DOI: 10.1007/978-3-319-07767-3_13

25. Taube F., Minner S. (2018). Resequencing mixed-model assembly lines with restoration to customer orders. Omega: The International Journal of Management Science, Volume 78, 99-111, DOI: https://doi.org/10.1016/j.omega.2017.11.006

26. Bányai, T., Illés, B., Gubán, M., Gubán, Á., Schenk, F., & Bányai, Á. (2019). Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach. Sustainability, 11(14), 3850. DOI: 10.3390/su11143850

27. ZHOU, B.-H., PENG, T. (2017). Scheduling methods of just-in-time material replenishment in mixed-model assembly lines. Kongzhi yu Juece/Control and Decision 32(6):976-982, DOI: 10.13195/j.kzyjc.2016.078

28. Rabe, M. (2003). Simulation of supply chains. International Journal of Automotive Technology and Management, Vol. 3, No. 3-4, pp. 368–382.

29. Severino, M.R., Godinho Filho, M. (2019). POLCA system for supply chain management: simulation in the automotive industry. Journal of Intelligent Manufacturing 30, 1271–1289, DOI: https://doi.org/10.1007/s10845-017-1323-5

30. Čujan Z., Fedorko G. (2016). Supplying of Assembly Lines Using Train of Trucks. Open Engineering, vol. 6, no. 1, 426-431, DOI: https://doi.org/10.1515/eng-2016-0057

31. Meissner, S. (2010). Controlling just-in-sequence flow-production. Logistics Research, Vol. 2, No 1, 45–53, DOI: 10.1007/s12159-010-0026-5

32. Tamás, P. (2017). Examining the Possibilities for Efficiency Improvement of SMED Method Using Simulation Modelling. Manufacturing Technology, Vol. 17, No. 4, 592–597, DOI: 10.21062/ujep/x.2017/a/1213-2489/MT/17/4/592.

33. Prístavka M., Krištof K. (2018). Evaluation of Quality Costs in the Production Organization. Manufacturing Technology, Vol. 18, No. 3, 466–476, DOI:10.21062/ujep/123.2018/a/1213-2489/MT/18/3/466.