Application of selected methods and approaches for improvement of processes and their use in practice in companies of wood processing industry in Slovakia

• Autorzy: Simanová Ľubica , Gejdoš Pavol

Identyfikatory

DOI

10.1515/mspe-2019-0026

• Języki publikacji: EN

Abstrakty

EN

The aim of the paper is to point out the principles of process management and selected quality management tools, which are aimed at improving the processes of the wood processing industries of the Slovak Republic. The knowledge from these areas is based on the analysis of the theoretical origins from domestic and foreign sources and supported by the results of the research carried out in the first half of the year 2017. In the processing of the results, classical methods of research work were used such as analysis, synthesis, comparison, descriptive statistics, contingency tables, chi-quadrat test and graphic depiction. Based on the analysis of the research results, there was a slight dependence between the process optimization levels in the timber industry and other process improvement methods such as statistical process control methods and graphical analysis and problem solving tools.

Słowa kluczowe

EN

process; process management; process improving; quality management methods

• Wydawca: STE GROUP
• Czasopismo: Management Systems in Production Engineering
• Rocznik: 2019
• Tom: nr 3 (27)
• Strony: 162--165
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Simanová Ľubica

• Technical University In Zvolen Faculty of Wood Sciences and Technology Department of Economics, Management and Business T. G. Masaryk 2117/24, 960 53 Zvolen, Slovak Republic

autor

Gejdoš Pavol

• Technical university in Zvolen Faculty of Wood Sciences and Technology Department of Economics, Management and Business T. G. Masaryk 2117/24, 960 53 Zvolen, Slovak Republic

Bibliografia

• [1] R. Bayney, Benchmarking in mental health: an introduction for psychiatrists. Adv Psychiatr Treat, 2005, pp. 305-314.
• [2] A. Brun. Critical success factors of six sigma implementation in Italian companies.International Journal of Production Economics, 2010, pp. 1-7.
• [3] J. Cienciala. Process-managed organization: process creation, development and measurability. Prague: Professional Publishing, 2011, pp. 204.
• [4] J. Ellis. All Inclusive Benchmarking. Journal of Nursing Management. 2006, pp. 377-383.
• [5] R. Eschenbach, Controlling. Praha: ASPI, 2004, pp. 814.
• [6] J. Frąś. Total quality management in logistics. Poznań: Wyd. Wyższej Szkoły Logistyki w Poznaniu. 2013, pp. 382.
• [7] D. Gharakhani, H. Rahmati, M. Farrokhi, A. Farahmandian. Total Quality Management and Organizational Performance, American Journal of Industrial Engineering, Vol. 1, No. 3, 2013, pp. 46- 50. DOI: 10.12691/ajie-1-3-2
• [8] M. Grasseová, R. Dubec and R. Horák. Process management in the public sector: theoretical background and practical examples. Brno: Computer Press, 2008, pp. 266.
• [9] G. Jacobson, N. McCoin, R. Lescallette, S. Russ, C Slovis. Kaizen: A method of process improvement in the emergency department. Academy Emergency Medicine 16 (12): 2009, pp. 1341- 1349.
• [10] Z. Lin, Z. Yu, L. Zhang, Performance outcomes of balanced scorecard application in hospital administration in China. China Economic Review 30, 2014, pp. 1-15.
• [11] R. Lueg, Strategy maps: the essential link between the balanced scorecard and action. Journal of Business Strategy 36, 2015. pp. 34-40.
• [12] P. M. Madhani. Six Sigma Deployment in Sales and Marketing: Enhancing Competitive Advantages. IUP J. Bus. Strategy, 2017, p. 40-63.
• [13] K. Marcineková, A. Sujová. The influence of the process control level on the enterprises' roe. Conference: 9th ISC BEM. Book Series: Economics and Finance. No: 34. 2015, pp. 290-295.
• [14] M. Messner, A. Becker, U. Schaeffer, and C. Binder. Legitimacy and Identity in Germanic Management Accounting Research. European Accounting Review, 17, 2008, pp. 129-159.
• [15] Z. Papulová, J. Papula and A. Oborilová, Process Management. A comprehensive view of the process management concept. Bratislava: Kartprint, 2014, pp. 223.
• [16] M. Rimarčík. Statistics for practice. Košice: Médium, 2007, pp. 200.
• [17] S. Shaaban, A.S. Darwish. Production Systems: Successful applications and new challenges part one-Lean, six sigma, inventory, JIT and TOC. Prod. Plan. Control, 2016, pp. 539-540.
• [18] Stat Soft. Inc. (2013). STATISTICA (data analysis software system), version 12. www.statsoft.com
• [19] E. Sujová, H. Čierna. Optimization and improvement of test processes on a production line. In Management systems in production engineering. Vol. 26, 2018, pp. 88-92.
• [20] A. Svozilová. Improving business processes. Prague: Grada, 2011, pp. 232.
• [21] F. Talib. An overview of total quality management: understanding the fundamentals in service organization, International Journal of Advanced Quality Management, Volume 1, Issue 1, 2013, pp. 1-20.
• [22] D. Tlapa, J. Limon, J.L. García-Alcaraz, Y. Baez, C. Sánchez. Six sigma enablers in Mexican manufacturing companies: A proposed model. Ind. Manag. Data Syst. 2016, pp. 926-959.
• [23] W.A.M. Van Lent, R.D. de Beer, W.H van Harten. International benchmarking of specialty hospitals. A series of case studies on comprehensive cancer centres. BMC Health Serv Res.2010, pp 253.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).