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KPI tree - a hierarchical relationship structure of key performance indicators for value streams


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Aikhuele, D. O., Ansah, R. H., Sorooshian, S., 2017. Performance model formation for lean product design and development. International Journal of Mechanical Engineering and Technology, 8(5), 1092–1100. Search in Google Scholar

Ante, G., Facchini, F., Mossa, G., Digiesi, S., 2018a. Developing a key performance indicators tree for lean and smart production systems. IFAC-PapersOnLine, 51(11), 13–18. DOI: 10.1016/j.ifacol.2018.08.227 Open DOISearch in Google Scholar

Ante, G., Facchini, F., Mossa, G., Digiesi, S., 2018b. Developing a key performance indicators tree for lean and smart production systems. IFAC-PapersOnLine, 51(11), 13–18. DOI: 10.1016/j.ifacol.2018.08.227 Open DOISearch in Google Scholar

Beelaerts van Blokland, W., van de Koppel, S., Lodewijks, G., Breen, W., 2019. Method for performance measurement of car companies from a stability-value leverage perspective: The balancing act between investment in R&D, supply chain configuration and value creation. International Journal of Lean Six Sigma, 10(1), 411–434. DOI: 10.1108/IJLSS-03-2017-0024 Open DOISearch in Google Scholar

Braz, R. G. F., Scavarda, L. F., Martins, R. A., 2011. Reviewing and improving performance measurement systems: An action research. International Journal of Production Economics, 133(2), 751–760. DOI: 10.1016/j.ijpe.2011.06.003 Open DOISearch in Google Scholar

Carneiro, J. Q., Carneiro, A. Q., Machado, V. A., Cândido, L. F., Neto, J. de P. B., 2017. Lean Metric System. 25th Annual Conference of the International Group for Lean Construction (IGLC)25th Annual Conference of the International Group for Lean Construction (IGLC), July, 629–636. DOI: 10.24928/2017/0306 Open DOISearch in Google Scholar

Chiarini, A., Vagnoni, E., 2015. World-class manufacturing by Fiat. Comparison with Toyota Production System from a Strategic Management, Management Accounting, Operations Management and Performance Measurement dimension. International Journal of Production Research, 53(2), 590–606. DOI: 10.1080/00207543.2014.958596 Open DOISearch in Google Scholar

Cross, K. F., Lynch, R. L., 1988. The “SMART” way to define and sustain success. National Productivity Review, 8(1. DOI: 10.1002/npr.4040080105 Open DOISearch in Google Scholar

Easterby-Smith, M., Thorpe, R., Jackson, P. R., Jaspersen, L. J., 2018. Management and Business Research (6th editio). SAGE Publications. Search in Google Scholar

Eckerson, W. W., 2009. Performance management strategies: How to Create and Deploy Effective Metrics. In TDWI Best Practices Report. Search in Google Scholar

Fitzgerald, L., Johnston, R., Brignall, TJ., Silvestro, R., Voss, C., 1991. Performance Measurement in Service Businesses. Chartered Institute of Management Accountants. Search in Google Scholar

Hatzigeorgiou, A., Manoliadis, O., 2017. Assessment of performance measurement frameworks supporting the implementation of lean construction. IGLC 2017 - Proceedings of the 25th Annual Conference of the International Group for Lean Construction, II(July), 153–160. DOI: 10.24928/2017/0073 Open DOISearch in Google Scholar

International Standard ISO 22400-1., 2014. ISO 22400-1:2014 Automation systems and integration — Key performance indicators (KPIs) for manufacturing operations management — Part 1: Overview, concepts and terminology. ISO, 1, 19. Search in Google Scholar

International Standard ISO 22400-2., 2014a. ISO 22400-2:2014 Automation systems and integration — Key performance indicators (KPIs) for manufacturing operations management — Part 2: Definitions and descriptions. ISO, 1, 60. Search in Google Scholar

International Standard ISO 22400-2., 2014b. ISO 22400-2:2014 Automation systems and integration — Key performance indicators (KPIs) for manufacturing operations management — Part 2: Definitions and descriptions. ISO, 1, 60. Search in Google Scholar

Jooste, J. L., Botha, L. J., 2018a. Improvements towards the identification and quantification of relationships between key performance indicators. South African Journal of Industrial Engineering, 29(2), 92–101. DOI: 10.7166/29-2-1872 Open DOISearch in Google Scholar

Jooste, J. L., Botha, L. J., 2018b. Improvements towards the identification and quantification of relationships between key performance indicators. South African Journal of Industrial Engineering, 29(2), 92–101. DOI: 10.7166/29-2-1872 Open DOISearch in Google Scholar

Kang, N., Zhao, C., Li, J., Horst, J. A., 2016a. A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems. International Journal of Production Research, 54(21), 6333–6350. DOI: 10.1080/00207543.2015.1136082 Open DOISearch in Google Scholar

Kang, N., Zhao, C., Li, J., Horst, J. A., 2016b. A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems. International Journal of Production Research, 54(21), 6333–6350. DOI: 10.1080/00207543.2015.1136082 Open DOISearch in Google Scholar

Kaplan, R. S., Norton, D. P., 2005. The balanced scorecard: Measures That drive performance. In Harvard Business Review (Vol. 83, Issues 7–8). Harvard Business School Press. Search in Google Scholar

Khaba, S., Bhar, C., 2017. Modeling the key barriers to lean construction using interpretive structural modeling. Journal of Modelling in Management, 12(4), 652–670. DOI: 10.1108/JM2-07-2015-0052 Open DOISearch in Google Scholar

Lu, Y., 2017. Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1–10. DOI: 10.1016/j.jii.2017.04.005 Open DOISearch in Google Scholar

Mejjaouli, S., Babiceanu, R., 2014. Holonic Condition Monitoring and Fault-Recovery System for Sustainable Manufacturing Enterprises. Studies in Computational Intelligence, 544, 31–46. DOI: 10.1007/978-3-319-04735-5-3 Open DOISearch in Google Scholar

Neely, A., Gregory, M., Platts, K., 1995. Performance measurement system design: A literature review and research agenda. International Journal of Operations and Production Management, 15(4), 80–116. DOI: 10.1108/01443579510083622 Open DOISearch in Google Scholar

Nudurupati, S. S., Tebboune, S., Hardman, J., 2016. Contemporary performance measurement and management (PMM) in digital economies. Production Planning Control, 27(3), 226–235. DOI: 10.1080/09537287.2015.1092611 Open DOISearch in Google Scholar

Olivella, J., Gregorio, R., 2015. A case study of an integrated manufacturing performance measurement and meeting system. Journal of Manufacturing Technology Management, 26(4), 515–535. DOI: 10.1108/JMTM-09-2012-0089 Open DOISearch in Google Scholar

Peñaloza, G. A., Formoso, C. T., Saurin, T. A., 2017. Safety performance measurement systems based on Resilience engineering: A literature review. IGLC 2017 - Proceedings of the 25th Annual Conference of the International Group for Lean Construction, II(July), 903–910. DOI: 10.24928/2017/0326 Open DOISearch in Google Scholar

Perera, S., Perera, C., 2019. Performance measurement system for a lean manufacturing setting. Measuring Business Excellence, 23(3), 240–252. DOI: 10.1108/MBE-11-2018-0087 Open DOISearch in Google Scholar

Rodriguez, R. R., Saiz, J. J. A., Bas, A. O., 2009. Quantitative relationships between key performance indicators for supporting decision-making processes. Computers in Industry, 60(2), 104–113. DOI: 10.1016/j.compind.2008.09.002 Open DOISearch in Google Scholar

Roth, N., Deuse, J., Biedermann, H., 2020. A framework for System Excellence assessment of production systems, based on lean thinking, business excellence, and factory physics. International Journal of Production Research, 58(4), 1074–1091. DOI: 10.1080/00207543.2019.1612113 Open DOISearch in Google Scholar

Ruano Pérez, J. L., Rodríguez-Rodríguez, R., Alfaro-Saiz, J. J., Verdecho, M. J., 2018. An ANP-based network to measure the impact of lean production on organisational performance. Journal of Industrial Engineering and Management, 11(2), 222–228. DOI: 10.3926/jiem.2536 Open DOISearch in Google Scholar

Saiz, J. J. A., Bas, A. O., Rodríguez, R. R., 2007. Performance measurement system for enterprise networks. International Journal of Productivity and Performance Management, 56(4), 305–334. DOI: 10.1108/17410400710745324 Open DOISearch in Google Scholar

Saleheen, F., Miraz, M. H., Habib, M. M., Hanafi, Z., 2014. Challenges of warehouse operations: A case study in retail supermarket. International Journal of Supply Chain Management, 3(4), 63–67. Search in Google Scholar

Staedele, A. E., Ensslin, S. R., Forcellini, F. A., 2019. Knowledge building about performance evaluation in lean production: An investigation on international scientific research. Journal of Manufacturing Technology Management, 30(5), 798–820. DOI: 10.1108/JMTM-12-2017-0277 Open DOISearch in Google Scholar

Stricker, N., Echsler, F. M., Lanza, G., 2017. Selecting key performance indicators for production with a linear programming approach. International Journal of Production Research, 55(19), 5537–5549. DOI: 10.1080/00207543.2017.1287444 Open DOISearch in Google Scholar

Susilawati, A., 2021. Productivity enhancement: lean manufacturing performance measurement based multiple indicators of decision making. Production Engineering, 0123456789. DOI: 10.1007/s11740-021-01025-7 Open DOISearch in Google Scholar

Suzaki, K., 2017. Lean - Gestão no chão de fábrica (LeanOp Press, Ed.; 2a). LeanOp. Search in Google Scholar

Womack, J. P., Jones, D. P., Roos, D., 1990. The Machine thad changed the world: Vol. 1a (I. Collier Macmillan Canada, Ed.; 1a). Collier Macmillan Canada, Inc. Search in Google Scholar

Zhu, L., Johnsson, C., Mejvik, J., Varisco, M., Schiraldi, M., 2018. Key performance indicators for manufacturing operations management in the process industry. IEEE International Conference on Industrial Engineering and Engineering Management, 2017-Decem, 969–973. DOI: 10.1109/IEEM.2017.8290036 Open DOISearch in Google Scholar