Al-Saleh, K.S., 2011. Productivity Improvement of a Motor Vehicle Inspection Station Using Motion and Time Study Techniques, Journal of King Saud University - Engineering Sciences, 23, 33-41.10.1016/j.jksues.2010.01.001
Almeida, D., Ferreira, J., 2009. Analysis of the Methods Time Measurement (MTM) Methodology through its Application in Manufacturing Companies. 19th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2009), Middlesbrough, UK, DOI: 10.13140/RG.2.1.2826.1927
Akansel, M., Yagmahan, B., Emel, E., 2017. Determination of Standard Times for Process Improvement: A Case Study. Global Journal of Business, Economics and Management: Current Issues, 7, 62, DOI: 10.18844/gjbem.v7i1.140010.18844/gjbem.v7i1.1400
Anvari, F., Edwards, R., Starr, A., 2010. Evaluation of overall equipment effectiveness based on market, Journal of Quality in Maintenance Engineering, 16, 256-270, DOI: 10.1108/1355251101107290710.1108/13552511011072907
Bartnicka, J., Kabiesz, P., Kaźmierczak, J., 2020. Standardization of human activities as the component of a workflow efficiency model – a research experiment from a meat producing plant, Production Engineering Archives, 26(2), 73-77, DOI: 10.30657/pea.2020.26.1510.30657/pea.2020.26.15
Bieda, J., Bieniok, H., 2011. Methods and techniques of testing and standardizing working time, In: Efficient management methods, H. Bieniok (Ed.), Warsaw, Placet (in Polish)
Borkowski, S., Knop, K., Mielczarek, M., 2012. The Use of Six Sigma indicators for Measurement the Process Quality of Products’ Conformity Assessment in the Alternative Control, In: Quality Control as Process Improvement Factor, S. Borkowski, M. Konstanciak (Eds.), Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji, Częstochowa, 116-131.
Brzeziśnki, S., Klimecka-Tatar D., 2016. Effect of the Changes in the Forming Metal Parameters on the Value Streams Flow and the Overall Equipment Effectiveness Coefficient, 25th Anniversary International Conference on Metallurgy and Materials (METAL 2016), Ostrava, Tanger, 1750-1755.
Cimino, A., Longo, F., Mirabelli, G., Papoff, E., 2008. MOST and MTM for work methods optimization: A real case study based on modeling & simulation, International Conference on Harbour, Maritime and Multimodal Logistics Modelling and Simulation, 1, 35-41.
Czerwinska, K., Pacana, A., 2020. Analysis of the internal door technological process, Production Engineering Archives, 26(1), 25-29, DOI: 10.30657/pea.2020.26.0610.30657/pea.2020.26.06
Duran, C., Çetindere, A., Aksu, Y.E., 2015. Productivity Improvement by Work and Time Study Technique for Earth Energy-glass Manufacturing Company, Procedia Economics and Finance, 26, 109-113, DOI: 10.1016/S2212-5671(15)00887-410.1016/S2212-5671(15)00887-4
Fin, J., Vidor, G., Cecconello, I., de Campos Machado, V., 2017. Improvement based on standardized work: an implementation case study, Brazilian Journal of Operations & Production Management, 14, 388, DOI: 10.14488/BJOPM.2017.v14.n3.a1210.14488/BJOPM.2017.v14.n3.a12
Ghongadi, T.D., Babu, S.S., Kulkarni, M.H., 2015. A Case Study on Operator Workload Balancing for Assembly Stations, International Journal of Engineering Sciences & Research Technology, 4(11), 369-375.
Ingaldi, M., Dziuba Sz. T., 2015. Modernity Evaluation of the Machines Used During Production Process of Metal Products, 24th International Conference on Metallurgy and Materials (METAL 2015), Ostrava, Tanger, 1908-1914.
Jagusiak-Kocik, M., Krynke, M., 2016. Analysis of Machines Effectiveness in the Company which Produces Electronic Equipment, Systems Supporting Production Engineering, 3(15), 79-86.
Kardas, E., 2012. Evaluation of Efficiency of Working Time of Equipment in Blast Furnace Department, Journal of Achievements in Materials and Manufacturing Engineering, 55(2), 876-880.
Kardas, E., Brzozova S., Pustejovska P., Jursova S., 2017. The Evaluation of Efficiency of the Use of Machine Working Time in the Industrial Company - Case Study, Management Systems in Production Engineering, 25(4), 241-245, DOI: 10.1515/mspe-2017-003410.1515/mspe-2017-0034
Lan, S., Wang, X., Ma, L., 2009. Optimization of Assembly Line Based on Work Study, Industrial Engineering and Engineering Management, IE&EM ‘09,16th International Conference, 4, 813-816.10.1109/ICIEEM.2009.5344476
Kulkarni, P.P., Kshire, S.S., Chandratre, K.V., 2014. Productivity Improvement through Lean Deployment & Work Study Methods, International Journal of Research in Engineering and Technology, 3(2), 429-434.10.15623/ijret.2014.0302076
Knop, K., 2020. Indicating and analysis the interrelation between terms – visual: management, control, inspection and testing, Production Engineering Archives, 26(3), 110-121, DOI: 10.30657/pea.2020.26.2210.30657/pea.2020.26.22
Knop, K., Ulewicz R., 2019. Assessment of Technology, Technological Resources and Quality in the Manufacturing of Timber Products, 12th International Scientific Conference WoodEMA 2019, Digitalisation and Circular Economy: Forestry and Forestry Based Industry Implications, Union of Scientists of Bulgaria, Sofia, 251-256.
Krynke, M., Knop, K., Mielczarek, K., 2014. Using Overall Equipment Effectiveness Indicator to Measure the Level of Planned Production Time Usage of Sewing Machine, Production Engineering Archives, 5(4), 6-9.10.30657/pea.2014.05.02
Korkmaz, I., Alsu, E., Özceylan, E., Weber, G-W. 2020. Job analysis and time study in logistic activities: a case study in packing and loading processes, Central European Journal of Operations Research, 28, DOI: 10.1007/s10100-019-00624-110.1007/s10100-019-00624-1
Mor, R.S., Bhardwaj, A., Singh, S., Sachdeva, A., 2019. Productivity gains through Standardization-of-Work: Case of Indian manufacturing industry, Journal of Manufacturing Technology Management, 30(6), 899-919, DOI: 10.1108/JMTM-07-2017-015110.1108/JMTM-07-2017-0151
Mor, R.S., Bhardwaj, A. Singh, S., 2018. Benchmarking the interactions among Performance Indicators in Dairy supply chain: An ISM approach, Benchmarking: An International Journal, 25(9), 3858-3881, DOI: 10.1108/BIJ-09-2017-025410.1108/BIJ-09-2017-0254
Nesterak, J., Siudy, J., 2020. Automation of snapshot analysis in a manufacturing enterprise, Knowledge-economy-society. Socio-economic conditions of development of contemporary organizations. Chapter 12. TNOiK Organizer’s House, 163-174 (in Polish)
Pisuchpen, R., Chansangar, W., 2014. Modifying Production Line for Productivity Improvement: A Case Study of Vision Lens Factory, Songklanakarin Journal of Science and Technology, 36(3), 345-357.
Shikdara, A., Sawaqedb, N., 2004. Ergonomics, and occupational health and safety in the oil industry: a managers’ response, Computers & Industrial Engineering, 47, 223-232.10.1016/j.cie.2004.07.004
Stasiak-Betlejewska, R., 2018. The Machines Operation Effectiveness Analysis in Polish Industry Enterprise, Terotechnology 2017, A. Szczotok, J. Pietraszek, N. Radek (Eds.), Materials Research Forum LLC, Millersville.
Stasiak-Betlejewska, R., Ulewicz, R., 2018. The Effectiveness of Selected Machinery and Equipment in the Woodworking Joinery, 9th International Conference on the Path Forward for Wood Products: a Global Perspective, Baton Rouge, USA, WoodEMA, 149-156.
Tippett, L.H.C., 1982. The Making of an Industrial Statistician. The Making of Statisticians, J. Gani (Eds.), New York, NY, Springer.10.1007/978-1-4613-8171-6_13
Ulewicz, R., Mazur, M. 2019. Economic aspects of robotization of production processes by example of a car semi-trailers manufacturer. Manu-fac-turing Technology, 19(6), 1054-1059.10.21062/ujep/417.2019/a/1213-2489/MT/19/6/1054
Ulewicz, R., Ulewicz, M., 2020. Problems in the Implementation of the Lean Concept in the Construction Industries, Proceedings of Advances in Resource-Saving Technologies and Materials in Civil and Environmental Engineering 2019, Z. Blikharskyy, P. Koszelnik, P. Mesaros (Eds.), Springer, Cham, 495-500.10.1007/978-3-030-27011-7_63
Ulewicz, R., Novy, F., 2019. Quality Management Systems in Special Processes, 13th International Scientific Conference on Sustainable, Modern and Safe Transport (TRANSCOM 2019), University of Zilina, Zilina, 113-118.10.1016/j.trpro.2019.07.019