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The re-entrant flow with an unpredictable nature of arrival would apparently harm production plans and sched-ules in flow type of shops. The re-entrant flow with varied arrival frequencies in rotor blade manufacturing is quite complicated and results in disproportionate workloads. Hence, an attempt has been made to study the significant influence of disproportionate workloads and research on an innovative order release method to enhance perfor-mance. The manufacturing process was observed thoroughly to incorporate the uncertain events that cause dis-turbance in the production. A simulation model was developed on a discrete event simulation platform by ana-lysing problem phenomena right from the conceptualization phase. The model has been verified and validated to ensure the accuracy. The model was subjected to 288 experiments representing different scenarios that a flow shop undergoes in reality. The factors considered in the experimentation were re-entrant frequency, re-entrant proportions, order release methods and priority dispatching rules. A refined load release policy for disproportion-ate loads has been proposed to judge its effectiveness in terms of profit computation by comparing it with other relevant policies. Results of the experiment revealed that the order release methods contribute 95.93% to throughput performance, in addition, the use of the new re-entrant method policy in the above scenario was productive in improving the overall shop performance.
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145--155
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Bibliogr. 45 poz., rys., tab.
Twórcy
autor
- Mechanical and Industrial Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal, India, aruna.prabhu@manipal.edu
autor
- Mechanical and Industrial Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal, India, raghu.bhat@manipal.edu
autor
- Humanities and Management Manipal Institute of Technology Manipal Academy of Higher Education Manipal, India, yogesh.pai@manipal.edu
autor
- Mechanical and Industrial Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal, India, a.barboza@manipal.edu
Bibliografia
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- 3 N.O. Fernandes, M. Thürer, T.M. Pinho, P. Torres, and S. Carmo-Silva, “Workload control and optimised order re-lease: an assessment by simulation,” Int J Prod Res, vol. 58, no. 10, pp. 3180-3193, May 2020, doi: 10.1080/00207543.2019.1630769.
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- 5 T. Hutter, S. Haeussler, & H. Missbauer, “Successful imple-mentation of an order release mechanism based on work-load control: a case study of a make-to-stock manufac-turer,” Int J Prod Res, vol. 56, no. 4, pp. 1565-1580, Feb. 2018, doi: 10.1080/00207543.2017.1369598.
- 6 C. Silva, M. Stevenson, & M. Thürer, “A case study of the suc-cessful implementation of workload control: A practitioner-led approach,” Journal of Manufacturing Technology Man-agement, vol. 26, no. 2, pp. 280-296, Mar. 2015, doi: 10.1108/JMTM-10-2013-0144.
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- 11 M. Thürer, M.J. Land, M. Stevenson, & L.D. Fredendall, “On the integration of due date setting and order release con-trol,” Production Planning and Control, vol. 28, no. 5, pp. 420-430, Apr. 2017, doi: 10.1080/09537287.2017.1302102.
- 12 M. Thürer, M. Stevenson, M.J. Land, & L.D. Fredendall, “On the combined effect of due date setting, order release, and output control: an assessment by simulation,” Int J Prod Res, vol. 57, no. 6, pp. 1741 -1755, Mar. 2019, doi: 10.1080/00207543.2018.1504250.
- 13 R. Singh & M. Mathirajan, “Experimental investigation for performance assessment of scheduling policies in semicon-ductor wafer fabrication – a simulation approach,” Interna-tional Journal of Advanced Manufacturing Technology, vol. 99, no. 5-8, pp. 1503-1520, Nov. 2018, doi: 10.1007/s00170-018-2414-y.
- 14 M. Thürer & M. Stevenson, “Bottleneck-oriented order re-lease with shifting bottlenecks: An assessment by simulation,” Int J Prod Econ, vol. 197, pp. 275-282, Mar. 2018, doi: 10.1016/j.ijpe.2018.01.010.
- 15 S. Kim, K. Roscoe Davis, & J.F. Cox, “An investigation of out-put flow control, bottleneck flow control and dynamic flow control mechanisms in various simple lines scenarios,” Pro-duction Planning and Control, vol. 14, no. 1, pp. 15-32, Jan. 2003, doi: 10.1080/0953728021000039416.
- 16 A. Prabhu, K. Raghunandana, & P. Yogesh Pai, “Bottleneck shifting in serial line production: An investigation with dif-ferent order release methods,” in Materials Today: Proceed-ings, Elsevier Ltd, 2022, pp. 1714-1720. doi: 10.1016/j.matpr.2021.11.337.
- 17 D. Corti, A. Pozzetti, & M. Zorzini, “A capacity-driven ap-proach to establish reliable due dates in a MTO environ-ment,” Int J Prod Econ, vol. 104, no. 2, pp. 536-554, Dec. 2006, doi: 10.1016/j.ijpe.2005.03.003.
- 18 M. Thürer & M. Stevenson, “The use of finite loading to guide short-term capacity adjustments in make-to-order job shops: an assessment by simulation,” Int J Prod Res, vol. 58, no. 12, pp. 3554-3569, Jun. 2020, doi: 10.1080/00207543.2019.1630771.
- 19 S.N. Kadipasaoglu, W. Xiang, S.F. Hurley, & B.M. Khumawala, “A study on the efffect of the extent and location of protec-tive capacity in flow systems,” Int. J. Production Economics. Vol. 63, 217-228, 2000.
- 20 M. Thürer, M. Stevenson, C. Silva, M.J. Land, L.D. Fredendall, & S.A. Melnyk, “Lean control for make-to-order companies: Integrating customer enquiry management and order re-lease,” Prod Oper Manag, vol. 23, no. 3, pp. 463-476, 2014, doi: 10.1111/poms.12058.
- 21 P.R. Kumar, “Scheduling Manufacturing Systems of Re-En-trant Lines,” in Stochastic Modeling and Analysis of Manu-facturing Systems, New York, NY: Springer New York, 1994, pp. 325-360. doi: 10.1007/978-1-4612-2670-3_8.
- 22 M. Thürer & M. Stevenson, “Workload control in job shops with re-entrant flows: an assessment by simulation,” Int J Prod Res, vol. 54, no. 17, pp. 5136-5150, Sep. 2016, doi: 10.1080/00207543.2016.1156182.
- 23 S.C. Graves, H.C. Meal, D. Stefek, & A.H. Zeghmi, “Scheduling of Re-Entrant Flow Shops,” 1983.
- 24 Y. Arzi & D. Raviv, “Dispatching in a workstation belonging to a re-entrant production line under sequence-dependent set-up times,” Production Planning and Control, vol. 9, no. 7, pp. 690-699, Jan. 1998, doi: 10.1080/095372898233696.
- 25 J.W. Fowler, G.L. Hogg, & S.J. Mason, “Workload control in the semiconductor industry,” Production Planning and Con-trol, vol. 13, no. 7, pp. 568-578, Oct. 2002, doi: 10.1080/0953728021000026294.
- 26 S.T. Enns & M.P. Costa, “The effectiveness of input control based on aggreǵate versus bottleneck work loads,” Produc-tion Planning and Control, vol. 13, no. 7, pp. 614-624, Oct. 2002, doi: 10.1080/0953728021000026258.
- 27 S. Kim, J.F. Cox, & V.J. Mabin, “An exploratory study of pro-tective inventory in a re-entrant line with protective capac-ity,” Int J Prod Res, vol. 48, no. 14, pp. 4153-4178, Jan. 2010, doi: 10.1080/00207540902991666.
- 28 P. Neuner & S. Haeussler, “Rule based workload control in semiconductor manufacturing revisited,” Int J Prod Res, vol. 59, no. 19, pp. 5972-5991, 2021, doi: 10.1080/00207543.2020.1797208.
- 29 S. Haeussler, P. Neuner, & M. Thürer, “Balancing earliness and tardiness within workload control order release: an as-sessment by simulation,” Flex Serv Manuf J, vol. 35, no. 2, pp. 487-508, Jun. 2023, doi: 10.1007/s10696-021-09440-9.
- 30 F. Costa, K. Kundu, M. Rossini, & A. Portioli-Staudacher, “Comparative study of bottleneck-based release models and load-based ones in a hybrid MTO-MTS flow shop: an as-sessment by simulation,” Operations Management Re-search, vol. 16, no. 1, pp. 33-48, Mar. 2023, doi: 10.1007/s12063-022-00276-6.
- 31 N.O. Fernandes, M. Thürer, & M. Stevenson, “Direct Work-load Control: simplifying continuous order release,” Int J Prod Res, vol. 60, no. 4, pp. 1424-1437, Feb. 2022, doi: 10.1080/00207543.2020.1857451.
- 32 M. Thürer & M. Stevenson, “Order release, dispatching and resource assignment in multiple resource-constrained job shops: an assessment by simulation,” Int J Prod Res, vol. 60, no. 12, pp. 3669-3681, Jun. 2022, doi: 10.1080/00207543.2021.1930240.
- 33 M. Thürer, N.O. Fernandes, S. Haeussler, & M. Stevenson, “Dynamic planned lead times in production planning and control systems: does the lead time syndrome matter?,” Int J Prod Res, vol. 61, no. 4, pp. 1268-1282, Feb. 2023, doi: 10.1080/00207543.2022.2034193.
- 34 P. Bortolotti et al., “A Detailed Wind Turbine Blade Cost Model,” 2019. [Online]. Available: www.nrel.gov/publica-tions.
- 35 R.G. Sargent, “Verification and validation of simulation mod-els,” in Proceedings of the 2010 Winter Simulation Confer-ence, IEEE, Dec. 2010, pp. 166-183. doi: 10.1109/WSC.2010.5679166.
- 36 M. Land & G. Gaalman, “International journal of production economics ELSEVIER Workload control concepts in job shops A critical assessment,” 1996.
- 37 M. Thürer, N.O. Fernandes, M. Stevenson, & T. Qu, “On the backlog-sequencing decision for extending the applicability of ConWIP to high-variety contexts: an assessment by simu-lation,” Int J Prod Res, vol. 55, no. 16, pp. 4695-4711, Aug. 2017, doi: 10.1080/00207543.2017.1281462.
- 38 M. Thürer, M. Stevenson, & C. Silvaa, “Three decades of workload control research: A systematic review of the liter-ature,” International Journal of Production Research, vol. 49, no. 23. pp. 6905-6935, Dec. 01, 2011. doi: 10.1080/00207543.2010.519000.
- 39 M.L. Spearman, D.L. Woodruff, & W.J. Hopp, “CONWIP: A pull alternative to kanban,” Int J Prod Res, vol. 28, no. 5, pp. 879-894, May 1990, doi: 10.1080/00207549008942761.
- 40 M. Thürer, M. Stevenson, C. Silva, & T. Qu, “Drum-buffer-rope and workload control in High-variety flow and job shops with bottlenecks: An assessment by simulation,” Int J Prod Econ, vol. 188, pp. 116-127, Jun. 2017, doi: 10.1016/j.ijpe.2017.03.025.
- 41 M. Thürer, T. Qu, M. Stevenson, C.D. Li, & G.Q. Huang, “De-constructing bottleneck shiftiness: the impact of bottleneck position on order release control in pure flow shops,” Pro-duction Planning and Control, vol. 28, no. 15, pp. 1223-1235, Nov. 2017, doi: 10.1080/09537287.2017.1362486.
- 42 W.G. Gilland, “A simulation study comparing performance of CONWIP and bottleneck-based release rules,” Production Planning and Control, vol. 13, no. 2, pp. 211-219, Mar. 2002, doi: 10.1080/09537280110069784.
- 43 R. Singh & M. Mathirajan, “Investigation of different inputs and a new release policy in the proposed simulation model for wafer fabrication system,” Sādhanā, vol. 44, no. 2, p. 41, Feb. 2019, doi: 10.1007/s12046-018-1006-8.
- 44 M. Thürer & M. Stevenson, “Card-based delivery date prom-ising in pure flow shops with order release control,” Int J Prod Res, vol. 54, no. 22, pp. 6798-6811, Nov. 2016, doi: 10.1080/00207543.2016.1177672.
- 45 C.E. Betterton & J.F. Cox, “Espoused drum-buffer-rope flow control in serial lines: A comparative study of simulation models,” Int J Prod Econ, vol. 117, no. 1, pp. 66-79, Jan. 2009, doi: 10.1016/j.ijpe.2008.08.050.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-38caae28-c717-4c9e-888d-aa383788a371