PRODUCTION PLANNING IN CONDITIONS OF MASS CUSTOMIZATION BASED ON THEORY OF CONSTRAINTS
Janusz MLECZKO
jmleczko@ath.bielsko.pl*University of Bielsko-Biała, Department of Industrial EngineeringWillowa 2, 43-309 Bielsko-Biała (Poland)
Paweł BOBIŃSKI
LiuGong Dressta Machinery, Stalowa Wola (Poland)
Abstract
In accordance with the requirements of the modern market, small and medium-sized enterprises (SMEs) need to offer a wide range of products tailored to the specific and individual requirements. The success of many enterprises, which work in mass production system and use economic effect of scale production slowly is a thing of the past. There are many enterprises, generally small and medium manufacturing in unit and small batch production, for which it is necessary to develop optimal methods of production planning, taking into account the flexible production requirements, matched to the time-varying customer’s demand. The article presents the production planning based on TOC in conditions of mass customization. Presented solutions are used in modern practice.
Keywords:
mass customization, computer aided planning, TOCReferences
Da Silveira, G., Borenstein, D., & Fogliatto, F. S. (2001). Mass customization: Literature review and research directions. Int. J. Production Economics, 72, 1–13. https://doi.org/10.1016/ S0925-5273(00)00079-7
DOI: https://doi.org/10.1016/S0925-5273(00)00079-7
Google Scholar
Fogliatto, F., Da Silveira, G. & Borenstein. D. (2012). The mass customization decade: An updated review of the literature. International Journal of Production Economics, 138, 14–25. https://doi.org/10.1016/ j.ijpe.2012.03.002
DOI: https://doi.org/10.1016/j.ijpe.2012.03.002
Google Scholar
Haug, A., Ladeby, K., & Edwards, K. (2009). From engineer‐ to‐ order to mass customization. Management Research News, 32(7), 633–644. https://doi.org/10.1108/01409170910965233
DOI: https://doi.org/10.1108/01409170910965233
Google Scholar
Kumar, A., (2007). Mass customization: manufacturing issues and taxonomic analyses. Int. J. Flex. Manuf. Syst., 19, 625–629. https://doi.org/10.1007/s10696-008-9049-5
DOI: https://doi.org/10.1007/s10696-008-9049-5
Google Scholar
Luo, X., Tu, Y., Tang, J., & Kwong, C. K., (2008). Optimizing customer’s selection for configurable product in B2C e-commerce application. Computers in Industry, 59, 767–776. https://doi.org/10.1016/j.compind.2008.03.003
DOI: https://doi.org/10.1016/j.compind.2008.03.003
Google Scholar
Mleczko, J., (2014). Manufacturing processes creating with use of dynamic classification in conditions of unit and small-batch production. Bielsko-Biała: Publishing House of University of Bielsko-Biała.
Google Scholar
Peng, D. G., Heim, G. (2011). Impacts of information technology on mass customization capability of manufacturing plants. International Journal of Operations& Production Management, 31(10), 1022–1047. https://doi.org/10.1108/01443571111182173
DOI: https://doi.org/10.1108/01443571111182173
Google Scholar
Tien, J. M., (2011). Manufacturing and services: From mass production to mass customization. Journal of Systems Science and Systems Engineering, 20(2), 129-154. https://doi.org/10.1007/s11518-011-5166-x
DOI: https://doi.org/10.1007/s11518-011-5166-x
Google Scholar
Authors
Janusz MLECZKOjmleczko@ath.bielsko.pl
*University of Bielsko-Biała, Department of Industrial EngineeringWillowa 2, 43-309 Bielsko-Biała Poland
Authors
Paweł BOBIŃSKILiuGong Dressta Machinery, Stalowa Wola Poland
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