The sales market requires both the highest quality of offered goods and satisfactory prices for the buyer. In addition to the reliability of the important aspects are also the time of order fulfillment, reliability, readiness to act around the clock, and service of sold goods after their sale. In the production and confection of conveyor belts, the priority is a customer who, having strictly defined product requirements, also has individually focused goals. To meet these aspects, you need to look after the product both during its production and after. The products of this industry are specific, so that they can be used, after sales service is often required to be installed at the customer and possible actions to maintain their good condition during operation. The article analyzes selected production processes of transmission belts to identify disturbances. The analysis uses the value stream mapping method. Then, improvement methods were proposed.
If the inline PDF is not rendering correctly, you can download the PDF file here.
Czerska J. (2009). Doskonalenie strumienia wartości. Warszawa: Centrum doradztwa i informacji Difin Sp. z o.o.
Ligarski M. (2018). Methodology of problem analysis in the quality management system with the use of systems approach. Management systems of Production Engineering 26(3).
Marchwiński C. Shook J. and Schroeder A. (2010). Ilustrowany słownik pojęć z zakresu Lean Management. Wrocław: Lean Enterprise Institute Polska.
Michalski K. Szczęśniak. B. (2015). Concept of a model database enabling data storage for purposes of investment attractiveness assessment of degraded post-mining areas. In: 15th International Multidisciplinary Scientific GeoConference SGEM 2015. Informatics geoinformatics and remote sensing 18-24 June 2015 Albena Bulgaria. Conference proceedings. Book 2. Vol.1. Sofia: STEF92 Technology.
Molenda M. Biernot A. Cierna H. (2018). Example of using lean manufacturing tools in assessing and improving the process of car arm rest production. 05-08 September 2018 Zawiercie Poland. Conference proceedings1(1). [B.m.]: Wydaw. PANOVA
Molenda M. Hąbek P. Szczęśniak B. (2016). Zarządzanie jakością w organizacji. Wybrane zagadnienia. Gliwice: Wydawnictwo Politechniki Śląskiej.
Pawłowski E. Pawłowski K. Trzcieliński S. (2010). Metody i narzędzia Lean Manufacturing Poznań: Politechnika Poznańska.
Rother M. Shook J. (1998). Learning to see. Value stream mapping to create value andeliminate muda Brookline.
Sitko J. Mikuš R. Bozek P. (2018). Analysis of device failure in the mechanical production plant. Management systems of Production Engineering 1(1).
Sobańska I. (2013). Lean accounting – integralny element lean management. Warszawa Wolters Kluwer Polska.
Szczęśniak B. Midor K. Zasadzień M. (2015). The transfer of knowledge among employees of Maintenance. In: -Zesz. Nauk. PŚl. Org. Zarz.77.
Szczęśniak B. Midor K. Zasadzień M. (2018). A concept of an IT tool for supporting knowledge transfer among facility maintenance employees as part of intelligent organization. In: Intelligent systems in production engineering and maintenance. Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance ISPEM 2017 Wroclaw Poland 28-29 September 2017. Ed. Anna Burduk Dariusz Mazurkiewicz. Cham: Springer Verlag.
Szczęśniak B. Wolniak R. (2016). Improving the process of car operating costs accounting using a spreadsheet-based tool – a case study. In: 16th International Multidisciplinary Scientific GeoConference. SGEM 2016 30 June-6 July 2016 Albena Bulgaria. Conference proceedings. Book 2 Informatics geoinformatics and remote sensing. Vol. 1 Informatics geoinformatics. Sofia: STEF92 Technology.
Zasadzień M. Szczęśniak B. Skotnicka Zasadzień B. (2017). Implementation of maintenance employees' work time scheduling. In: Proceedings of the Second International Conference on Economic and Business Management. FEBM 2017 Shanghai October 21-23 2017. Eds. Piman Limpaphayom Gordon Huang. [B.m.]: Atlantis Press.
Zasadzień M. Zarnovsky J. (2018). Improvement of selected logistics processes using quality engineering tools. Management Systems Production Engineering 26(1).