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A new approach on implementing TPM in a mine – A case study

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents selected results of the adaptation of Lean Manufacturing methods to the mining industry conditions. The research was carried out within the framework of R&D project “Adaptation and implementation of Lean in the copper mines.” The article focuses on the key issues related to the Total Productive Maintenance. TPM in a mine according to Authors’ approach should be based on 3 main pillars: improvement of the environment of work, autonomous and planned maintenance and standards in development. In order to adapt TPM method to mining conditions several steps were taken. In the first step failure analysis was conducted. On the basis of its results, a pilot group of machines was selected. To ensure the best environment for implementing the method a holistic approach was applied. Three types of activities were performed in parallel – designing a room for pilot area machines, daily service process optimization and repair standardization. The coherent TPM methodology developed within the framework of Lean Mining project is so universal that it can be successfully implemented in the other mining companies, specializing in the underground and open pit mines and quarries, in order to increase their profitability and introduce continuous improvement approach.
Rocznik
Strony
873--884
Opis fizyczny
Bibliogr. 25 poz., rys., tab., wykr.
Twórcy
autor
  • Wrocław University of Technology, Faculty of Mechanical Engineering, ul. Łukasiewicza 5, Poland
autor
  • Wrocław University of Technology, Faculty of Mechanical Engineering, ul. Łukasiewicza 5, Poland
  • Wrocław University of Technology, Faculty of Mechanical Engineering, ul. Łukasiewicza 5, Poland
  • Wrocław University of Technology, Faculty of Mechanical Engineering, ul. Łukasiewicza 5, Poland
Bibliografia
  • [1] S.M. Bosnjak, N.D. Zrnic, Dynamics, failures, redesigning and environmentally friendly technologies in surface mining systems, Archives of Civil and Mechanical Engineering 12 (3) (2012) 348–359.
  • [2] J. Brzeski, M. Figas, Wprowadzenie do TPM, Inżynieria i utrzymanie ruchu zakładów przemysłowych, 2006, June.
  • [3] E. Chlebus, Techniki komputerowe CAx w inżynierii produkcji, Wydawnictwa Naukowo-Techniczne, 2000 Warszawa.
  • [4] C. Cieśla, K. Piotrowski, S. Rymaszewski, M. Szostak, B. Wroński, Planowanie zależne materiałów w kopalni węgla kamiennego, Wiadomości Górnicze, 2013. p. 757.
  • [5] M. Faccio, M. Gamberi, A. Persona, Kanban number optimisation in a supermarket warehouse feeding a mixed- model assembly system, International Journal of Production Research 51 (10) (2013) 2998.
  • [6] P. Gopalakrishnan, A.K. Banerji, Maintenance and Spare Parts Management, PHI Learning Pvt. Ltd., New Delhi, 2006. p. XV.
  • [7] J. Helman, Analysis of the potentials of adapting elements of Lean methodology to the unstable conditions in the mining industry, AGH Journal of Mining and Geoengineering (2012) 151.
  • [8] B.M. Kariuki, Role of Lean manufacturing on organization competitiveness, Industrial Engineering Letters 3 (10) (2013) 86.
  • [9] A.F. Klippel, C.O. Petter, J.A. Valle Antunes, Lean Management Implementation in Mining Industries, 2008 Dyna, March, part 75, number 154, Medellin, Columbia.
  • [10] R. Król, R. Zimroz, Ł. Stolarczyk, Analiza awaryjności układów hydraulicznych samojezdnych maszyn roboczych stosow- anych w KGHM POLSKA MIEDŹ S.A., Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej, 2009 Nr 128, Nr 36.
  • [11] C.-F. Kuo, M.-J. Wang, Motion generation from MTM semantics, Computers in Industry 60 (2009) 339.
  • [12] K. Dunstan, B. Lavin, R. Sanford, The application of Lean manufacturing in a mining environment, in: International Mine Management Conference, Melbourne, 2006.
  • [13] M. Młyńczak, Problems of automotive spare parts forecast, Logistyka i Transport, Wrocław, 2008. p. 66 (in Polish).
  • [14] S. Nakajima, Introduction to TPM, Productivity Press, Portland, 1988.
  • [15] S. Nakajima, TPM Development Program, Productivity Press, 1989.
  • [16] T. Nowakowski, Metodyka prognozowania niezawodności obiektów mechanicznych, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław, 1999. p. 45.
  • [17] R.A. Pasale, J.S. Bagi, 5S strategy: a workplace improvement lean tool, Journal of Engineering and Technology Research (2013) 100.
  • [18] L. Rivera, D.F. Manotas, How to foresee and measure the real economic impact of a Lean manufacturing implementation, in: A. Azevedo (Ed.), Lecture Notes in Mechanical Engineering: Advances in Sustainable and Competitive Manufacturing Systems. 23rd International Conference on Flexible Automation & Intelligent Manufacturing, Springer International Publishing, Switzerland, 2013 1425–1436.
  • [19] M. Rosienkiewicz, Idea of adaptation value stream mapping method to the conditions of the mining industry, AGH Journal of Mining and Geoengineering (2012) 304.
  • [20] E. Rusiński, S. Dragan, P. Moczko, D. Pietrusiak, Implementation of experimental method of determining modal characteristics of surface mining machinery in the modernization of the excavating unit, Archives of Civil and Mechanical Engineering 12 (4) (2012) 471–476.
  • [21] A. Smalley, Creating Level Pull: A Lean Production-system Improvement Guide for Production-control, Operations, and Engineering Professionals, 2004.
  • [22] P. Sokolski, M. Sokolski, Evaluation of resistance to catastrophic failures of larg-size caterpillar chain links of open-pit mining machinery, Eksploatacja i Niezawodnosc (Maintenance and Reliability), 16 (1) (2014) 80–84.
  • [23] J.P. Womack, Lean Thinking – Banish Waste and Create Wealth in Your Corporation, Simon and Schuster, 2010.
  • [24] J. Żurek, R. Cieślak, M. Suszyński, Practical evaluation of methods of research in assembly time consumption, Archives of Mechnical Technology and Automation 32 (4) (2012) 45–46.
  • [25] Kanban Made Simple: Demystifying and Applying Toyota's Legendary Manufacturing Process, AMACOM Div American Mgmt Assn, 2003.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cdcd38e3-af20-4945-8d2a-1e21e7f0abce
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