Generic POLCA: An Assessment of the Pool Sequencing Decision for Job Release

  • Silvio Carmo-Silva
  • Nuno O. Fernandes
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)


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.


Generic POLCA Production control Simulation 



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.


  1. 1.
    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)CrossRefGoogle Scholar
  2. 2.
    Suri, R.: Quick Response Manufacturing: A Company-Wide Approach to Lead Time Reduction. Productivity Press, Boca Raton (1998)Google Scholar
  3. 3.
    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)Google Scholar
  4. 4.
    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)Google Scholar
  5. 5.
    Enns, S.T.: An integrated system for controlling shop loading and work flows. Int. J. Prod. Res. 33(10), 2801–2820 (1995)CrossRefGoogle Scholar
  6. 6.
    Oosterman, B., Land, M., Gaalman, G.: The influence of shop characteristics on workload control. Int. J. Prod. Econ. 68(1), 107–119 (2000)CrossRefGoogle Scholar
  7. 7.
    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)CrossRefGoogle Scholar
  8. 8.
    Germs, R., Riezebos, J.: Workload balancing capability of pull systems in MTO production. Int. J. Prod. Res. 48(8), 2345–2360 (2010)CrossRefGoogle Scholar
  9. 9.
    Farnoush, A., Wiktorsson, M.: POLCA and CONWIP performance in a divergent production line: an automotive case study. J. Manag. Control 24, 159–186 (2013)CrossRefGoogle Scholar
  10. 10.
    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)CrossRefGoogle Scholar
  11. 11.
    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)CrossRefGoogle Scholar
  12. 12.
    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)CrossRefGoogle Scholar
  13. 13.
    Lödding, H., Piontek, A.: The surprising effectiveness of earliest operation due-date sequencing. Prod. Plann. Control 28, 459–471 (2017)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Production and Systems, ALGORITMI Research UnitUniversity of MinhoBragaPortugal
  2. 2.Escola Superior de TecnologiaInstituto Politécnico de Castelo BrancoCastelo BrancoPortugal

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