Czasopismo
Tytuł artykułu
Autorzy
Warianty tytułu
Języki publikacji
Abstrakty
Aim: The paper is concerned with two issues. The first one involves the identification of waste types existing in Polish production companies - to this end, one large company was examined. The second aspect of the research attempts to answer the question whether there exists a relationship between the company's departments and waste categories. Design / Research methods: A large company (with over 250 workforce) producing railway rolling stock was analyzed based on a survey. It was substantiated in what context the findings obtained on the basis of the company are reflected in the market evaluation. Statistical tests were used in the evaluation whether relationships were present between the company's individual departments and the type of waste identified. Findings: In the context of waste identification it was found that the crucial faults include waiting (present in 38,1% of all processes), next defects, 22.5% and unnecessary motion 19%. Statistical tests showed that there was no relationship between the types of waste and individual departments - various aspects of work are associated with the same problems. Originality: Although there are numerous studies in literature which indicate the main barriers affecting continuous improvement in foreign companies, the number of studies concerned with the situation in the Polish transport industries is very small - the paper seeks to fill in this gap. The information on the types of waste and their characteristics in diverse departments has a critical impact on choosing the suitable method for company management. (original abstract)
Rocznik
Tom
Numer
Strony
117-128
Opis fizyczny
Twórcy
autor
- Wroclaw School of Banking, Poland
autor
- Wroclaw School of Banking, Poland
Bibliografia
- Arunagiria P., Gnanavelbabu A., (2014) Identification of Major Lean Production Waste in Automobile Industries using Weighted Average Method, 12th GLOBAL CONGRESS ON MANUFACTURING AND MANAGEMENT (GCMM), Procedia Engineering Vol. 97.
- Aziz R. F., Hafez S. M., (2013) Applying lean thinking in construction and performance improvement, Alexandria Engineering Journal, Vol. 52.
- Bednarz K., Siedem marnotrawstw, (2013), źródło internetowe http://www.leancenter.pl/bazawiedzy/siedem-marnotrawstw-eliminacja, data dostępu: 25.11.2016.
- Blikle A. J, (2014) Doktryna Jakości, rzecz o skutecznym zarządzaniu, Helion, Gliwice.
- Fernandez Q., (2015) Performance indicator design and implementation on semi-automated production lines, Overall Equipment Effectiveness (OEE) philosophy adaptation, Master of Science Thesis, Production Engineering and Management, KTH Royal Institute of Technology School of Industrial Engineering and Management, Stockholm.
- GUS - Główny Urząd Statystyczny, Podmioty gospodarcze według rodzajów i miejsc prowadzenia działalności w 2016 r. Warszawa, opracowanie 06.11.2017.
- Imai M, Gemba Kaizen, (2006) MT Biznes, Warszawa.
- Imai M., Kaizen, (2007) Klucz do konkurencyjnego sukcesu Japonii, MT Biznes, Warszawa.
- Jagodziński J., Ostrowski D., (2016) Optymalizacja wybranego procesu produkcyjnego w oparciu o zasadę ciągłego doskonalenia na przykładzie przedsiębiorstwa X, Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie nr 24, t. 2 2016, ss. 201-214.
- Kornicki L, Kubik S., (2010) Identyfikacja marnotrawstwa na hali produkcyjnej, ProdPress.com, Wrocław 2008.
- Kubik S., Just in Timie dla operatorów, ProdPublishing, Wrocław.
- Łazicki A., (2014) Systemy zarządzania przedsiębiorstwem - techniki Lean Management i Kaizen, Wydawnictwo Wiedza i Praktyka sp. z o.o., Warszawa.
- Liker J. K, Meier D. P., (2011) Droga Toyoty, MTBiznes, Warszawa.
- Womack J. P, Jones D. T., Roos D., (2008) Maszyna, która zmieniła świat, ProdPress, Wrocław.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171521645