Abstract
We present a simulation study for assessing the impact of pool sequencing rules for job release in a make-to-order general flow shop under the Generic POLCA order release and materials flow control system. Four pool sequencing rules are tested when the workload released to the shop floor is measured: (1) in jobs; and (2) in processing time units. Performance results based on both, the ability to deliver jobs on time and to provide short delivery times, show that a capacity slack rule based on the corrected aggregate workload perform best.
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References
Fernandes, N.O., Carmo-Silva, S.: Generic POLCA - a production and materials flow control mechanism for quick response manufacturing. Int. J. Prod. Econ. 104(1), 74–84 (2006)
Suri, R.: Quick Response Manufacturing: A Company-Wide Approach to Lead Time Reduction. Productivity Press, Boca Raton (1998)
Mortágua, J., Fernandes, N.O., Carmo-Silva, S.: Comparing card-based production control mechanisms in MTO production. In: Proceedings of the 28th European Simulation and Modelling Conference, Porto, Portugal, Eurosis, pp. 303–311 (2014)
Perona, M., Miragliotta, G.: Workload control: a comparison of theoretical and practical issues through a survey in field. In: 11th International Working Seminar on Production Economics, Innsbruck, Austria, pp. 235–248 (2000)
Enns, S.T.: An integrated system for controlling shop loading and work flows. Int. J. Prod. Res. 33(10), 2801–2820 (1995)
Oosterman, B., Land, M., Gaalman, G.: The influence of shop characteristics on workload control. Int. J. Prod. Econ. 68(1), 107–119 (2000)
Breithaupt, J.-W., Land, M., Nyhuis, P.: The workload control concept: theory and practical extensions of load oriented order release. Prod. Plann. Control 13(7), 625–638 (2002)
Germs, R., Riezebos, J.: Workload balancing capability of pull systems in MTO production. Int. J. Prod. Res. 48(8), 2345–2360 (2010)
Farnoush, A., Wiktorsson, M.: POLCA and CONWIP performance in a divergent production line: an automotive case study. J. Manag. Control 24, 159–186 (2013)
Braglia, M., Castellano, D., Frosolini, M.: Optimization of POLCA-controlled production systems with a simulation-driven genetic algorithm. Int. J. Adv. Manuf. Technol. 70, 385–395 (2014)
Thürer, M., Land, M.J., Stevenson, M., Frendendall, L.W., Filho, M.G.: Concerning workload control and order release: the pre-shop pool sequencing decision. Prod. Oper. Manag. 24(7), 1179–1192 (2015)
Thürer, M., Fernandes, N.O., Stevenson, M., Qu, T.: On the backlog-sequencing decision for extending the applicability of ConWIP to high-variety contexts: an assessment by simulation. Int. J. Prod. Res. 55(16), 4695–4711 (2017)
Lödding, H., Piontek, A.: The surprising effectiveness of earliest operation due-date sequencing. Prod. Plann. Control 28, 459–471 (2017)
Acknowledgments
This study had the financial support of COMPETE: POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.
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Carmo-Silva, S., Fernandes, N.O. (2018). Generic POLCA: An Assessment of the Pool Sequencing Decision for Job Release. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_65
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