Abstract
POLCA (i.e. Paired-cell Overlapping Loops of Cards with Authorization) is a card-based decision support system for production control developed to support the adoption of Quick Response Manufacturing. In POLCA, the flow of jobs through the production system is controlled through a combination of release authorisations and production control cards - POLCA cards. In this paper, we discuss a load-based version of the POLCA system (LB-POLCA), which draws on recent insights from the Workload Control literature. In this context, a question arises: what is the load (e.g. in hours) that a POLCA card should represent? Using simulation, we demonstrate that insights from the Workload Control literature cannot be straight transferred to the POLCA system. Results further demonstrate that significant performance improvements for all card acquisition rules considered in this study can be realized when the POLCA card represents the operation time the job imposes to the second station of the pair.
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References
Suri, R.: Quick Response Manufacturing: A Companywide Approach to Reducing Leadtimes. Productivity Press, Cambridge (1998)
Riezebos, J.: Design of POLCA material control systems. Int. J. Prod. Res. 48(5), 1455–1477 (2010)
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 (2016)
Vandaele, N., Van Nieuwenhuyse, I., Claerhout, D., Cremmery, R.: Load-Based POLCA: an integrated material control system for multiproduct, multimachine job shops. Manuf. Serv. Oper. Manage. 10(2), 181–197 (2008)
Suri, R: It’s About Time: The Competitive Advantage of Quick Response Manufacturing. Productivity Press, Cambridge (2010)
Thürer, M., Land, M.J., Stevenson, M.: Card-based workload control for job shops: improving COBACABANA. Int. J. Prod. Econ. 147, 180–188 (2014)
Oosterman, B., Land, M.J., Gaalman, G.: The influence of shop characteristics on workload control. Int. J. Prod. Econ. 68(1), 107–119 (2000)
Lödding, H., Yu, K.-W., Wiendahl, H.-P.: Decentralized WIP-oriented manufacturing control (DEWIP). Prod. Plan. Control 14(1), 42–54 (2003)
Harrod, S., Kanet, J.J.: Applying work flow control in make-to-order shops. Int. J. Prod. Econ. 143, 620–626 (2013)
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. Manage. 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)
Baker, K.R., Kanet, J.J.: Job shop scheduling with modified operation due-dates. J. Oper. Manage. 4(1), 11–22 (1983)
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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Fernandes, N.O., Thürer, M., Stevenson, M., Carmo Silva, S. (2017). Load-Based POLCA: An Assessment of the Load Accounting Approach. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-56538-5_40
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DOI: https://doi.org/10.1007/978-3-319-56538-5_40
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