Purpose: The purpose of the paper is to identify improvement possibilities in the data processing and information flow relating to product quality in the processes of automotive component production, which might result in the acceleration of decision making on product quality and reduction of defects and related costs. The expected results of the proposed improvement are presented in the paper.
Methodology/Approach: Modelling and simulations of the component production processes with the current and proposed state of information flow were made in the QPR software to test the effect of the changes in the information flows. Subsequently, the results of the simulations of both process models were compared from the perspective of quality.
Findings: Results of the simulations showed the positive effect of the proposed changes reflecting in the lower number of defects compared to the current state. Based on the accurate and timely received information on product quality, needed interventions to the process can be realized to reduce the defects.
Research Limitation/implication: The limitation of the paper is the exact estimation of benefits after the improvement implementation. The expected benefits were defined on the base of test operation.
Originality/Value of paper: The originality of the paper is in the applicability of the proposed solution in organisations operating in the automotive industry or other data-driven manufacturing organisations calling for timely and accurate information access to achieve a high level of quality, effectiveness and efficiency in the production processes.
Anderson, C., 2015. Creating a Data-Driven Organization. Sebastopol: O’Reilly Media.
Berente, N., Vandenbosch, B. and Aubert, B., 2009. Information flows and business process integration. Business Process Management Journal, [e-journal] 15(1), pp.119-141. http://dx.doi.org/10.1108/14637150910931505.
Burstein, M. and Diller, D., 2004. A framework for dynamic information flow in mixed-initiative human/agent organizations. Applied Intelligence, 20(3), pp.283-289.
Durugbo, C., Tiwari, A. and Alcock, J., 2010. Managing Information Flows for Product-Service Systems Delivery. Linkoping: Linkoping University.
Durugbo, C., Tiwari, A. and Alcock, J., 2013. Modelling information flow for organizations: A review of approaches and future challenges. International Journal for Information Management, [e-journal] 33, pp.597-610. https://doi.org/10.1016/j.ijinfomgt.2013.01.009.
Hinton, M., 2011. Introducing Information Management: The Business Approach. New York: Routledge.
ISO, 2015. ISO 9000:2015 Quality management systems: Fundamentals and vocabulary. Geneva: ISO.
Laudon, K. and Laudon, J., 2013. Management Information Systems: Managing the digital firm. London: Pearson Education Limited.
Lengyel, L., 2013. Production data acquisition and analysis management system: An example based on a study of automotive supplier solution. Quality Innovation Prosperity, [e-journal] 17(2), pp.103-110. http://dx.doi.org/10.12776/qip.v17i2.260.
Lucey, T., 2005. Management information systems, London: Thomson Learning.
Nagyová, A. and Palko, M., 2016. Analysis of the causes of nonconforming product in supplier-customer chain. In: M. Majerník, N. Daneshjo and M. Bosák, ed. 2016. Production Management and Engineering Sciences. London: Taylor & Francis. pp.213-218.
Nenadál, J., Noskievi?ová, D., Petříková, R., Plura, J. and Tošenovský, J., 2008. Moderní management jakosti: principy, postupy, metody. Praha: Management Press.
Sadiq, S., Orlowska, M., Sadiq, W. and Foulger, C., 2004. Data flow and validation in workflow modelling. Darlinghurst: ADC.
Segiňáková, S., 2017. Zlepšenie toku informácií pre rozhodovanie o kvalite produktov v organizácii automobilového priemyslu. Kosice: Technická univerzita v Košiciach.
Wang, Y., 2015. Formal Cognitive Models of Data, Information, Knowledge and Intelligence. WSEAS Transactions on Computers, 14(3), pp.770-781.
Zgodavová, K. and Lengyel, L., 2011. Modeling and Simulating Relocation of a Production in SIMPRO-Q Web Based Educational Environment. In: IEEE, 14th International Conference on Interactive Collaborative Learning (ICL). Piešťany, Slovakia, 1-23 September 2011. IEEE. https://doi.org/10.1109/ICL.2011.6059638.
Zgodavová, K., Hudec, O. and Palfy, P., 2017. Culture of quality: insight into foreign organisations in Slovakia. Total Quality Management and Business Excellence, [e-journal] 28(8-9), pp.1-22. https://doi.org/10.1080/14783363.2017.1309120.