Use the doe method for tool durability increase

• Autorzy: Dulina Luboslav , Bigošová Eleonóra , Barbušová Miroslava , Gašo Martin , Šeligová Michala

Identyfikatory

DOI

10.2478/cqpi-2019-0075

• Języki publikacji: EN

Abstrakty

EN

Constantly improving, which is one of the principles of quality management is the base for good understanding, behaviour of individual processes, investigating variability and impact on its the process. The aim of every business is to increase profits. Reducing the cost of tools can also contribute to this. Utilising the DOE method to reduce the durability of removable cutting plate, as describe the article, is one of way, how to apply this method in practice. The DOE method enables find factors that are the most relevant to the production process and determine their best values. Using this method, you can set the selected inputs so that, the process achieves the desired results with maximum stability and resilience. The article contains a brief overview of Minitab software by which the collected process data was analysed. The core of the article describes how to solve the problem using the singular phases of the DMAIC cycle. Each of these phases has its own specific aim, which logically defines what activities each step is aimed at. DMAIC is extended variant of the process improvement model based at the Deming circle PDCA. Six sigma methodology is used as a standard procedure for project planning and realisation. At the end of an article is described that by increase durability of removable cutting plate the problems found in the analysis of the current condition that have been validated by a case study in the company have been eliminated.

Słowa kluczowe

EN

DOE; DMAIC; durability; removable cutting plate

PL

metoda DOE; DMAIC; trwałość; wyjmowana płyta tnąca

• Wydawca: De Gruyter
• Czasopismo: Quality Production Improvement - QPI
• Rocznik: 2019
• Tom: Vol. 1, Iss. 1
• Strony: 559--566
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Dulina Luboslav

• University of Žilina, Slovakia

autor

Bigošová Eleonóra

• University of Žilina, Slovakia

autor

Barbušová Miroslava

• University of Žilina, Slovakia

autor

Gašo Martin

• University of Žilina, Slovakia

autor

Šeligová Michala

• University of Žilina, Slovakia

Bibliografia

• 1.Jankalová, M., 2014. Methodical basis of the Business Excellence status assessment. Second World Conference on Business. Economics and Management (BEM), Antalya, Turkey, Book Series: Procedia Social and Behavioral Sciences, 546-551.
• 2.Krajcovic, M., Plinta, D., 2013. Adaptive inventory control system for material items with continuous non-stationary demand. Management and Production Engineering Review, 5(1), 1-20. DOI: 10.2478/mper-2014-0002
• 3.Nenadál, J., Noskievicová, D., Petríková, R., Plura, J., Tosenovsky, J., 2008. Moderní management jakosti. Management Press, Praha. ISBN 978-80-7261-186-7
• 4.Sasik, R., Haluska, M., Madaj, R., Gregor, M., Grznar, P., 2016. Development of the Assembly Set for the Logistic Transport Solution. 55th International Conference of Machine Design Departments (ICMD), Prague, Czech Republic, Springer: Latest methods of construction design, 81-86.
• 5.Ulewicz, R., 2018. Outsorcing quality control in the automotive industry. MATEC Web of Conferences, 183, 03001, EDP Sciences.
• 6.Vaculik, J., Michalek, I., Kolarovszki, P., 2009. Principles of selection, implementation and utilization of RFID in supply chain management. Promet-Traffic & Transportation, 21(1), 41-48.
• 7.Zagorecki, A. T. Johnson, D.E., Ristvej, J., 2013. Data mining and machine learning in the context of disaster and crisis management. International Journal of Emergency Management, 9(4), 351-365.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).