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Materials requirement planning with the use of activity based costing

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the rationalization areas is the material supply process. New tasks of material supply are: integration of supply with the operation of the entire system, especially at the product design stage, effective use of material resources, reduction of the level of supply costs from the point of view of production costs. In the conditions of unit and small batch production the materials requirement needs to be carefully planned and optimized due to the use of many different kinds, types and sizes of materials and dynamic changes of demand over time. In this situation there are needed tools enabling the measurement of production costs for particular tasks on the basis of currently realized processes. One of these tools is activity based costing which is a groundwork for decision making process in the material supply area. Basing on activity based costing, a model of materials requirements planning was developed, which considers minimizing the number of different kinds and sizes of materials by using alternative materials and, consequently, lowering production costs.
Wydawca
Rocznik
Tom
Strony
3--8
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
  • University of Bielsko-Biala Faculty of Mechanical Engineering and Computer Science ul. Willowa 2, 43-309 Bielsko-Biała, Poland
  • University of Bielsko-Biala Faculty of Mechanical Engineering and Computer Science ul. Willowa 2, 43-309 Bielsko-Biała, Poland
  • University of Zilina, Faculty of Mechanical Engineering, Univerzitna 8215/1, 010 26 Zilina, Slovak Republic
Bibliografia
  • [1] I. Kuric. “New methods and trends in product development and planning”, in Proc. of the 1st International Conference on Quality and Innovation in Engineering and Management, 2011, pp. 453-456.
  • [2] J. Matuszek and A. Moczała. “The modelling and simulation method in computer aided co-operation”. Control and Cybernetics, vol. 39, 2010, pp. 117-131.
  • [3] D. Plinta and M. Krajcovic. “Production system designing with the use of digital factory and augmented reality technologies”, in Proc. of the International Conference on Automation Advances in Intelligent Systems and Computing, vol. 350, 2015, pp. 187-196.
  • [4] P. Bubeník, F. Horák. “Knowledge-based systems to support production planning”. Technical gazette, vol. 21/3, 2014, pp. 505-509.
  • [5] K. Dohn, A. Gumiński and A. Pawluś. “Supply processes in a machine-building enterprise concerning metallurgical products – case study”, in Proc. of the 24th International Conference on Metallurgy and Materials, 2015, pp. 1902- 1907.
  • [6] A. Burduk, K. Musial, J. Kochańska, D. Górnicka, A. Stetsenko. „Tabu Search and genetic algorithm for production process scheduling problem”. LOGFORUM, vol.15 (2), 2019, pp. 181-189.
  • [7] A. Saniuk, S. Saniuk and K. Witkowski. “Using activity based costing in the metalworking processes”, in Proc. of the 19th International Metallurgical and Materials Conference, 2011, pp. 1328-1333.
  • [8] R.S. Kaplan and S.R. Anderson. “Time-driven activity-based costing”. Harvard Business School Press, 2004.
  • [9] B. Skołud. “Market oriented approach to the production management on the operational level”, in Proc. of the ModTech International Conference, Advanced Materials Research, 2013, pp. 663-668.
  • [10] M. Baron-Puda. “Methodology of determining optimal quantity and quality of human resources in unit and small batch production environment”. Zarządzanie Przedsiębiorstwem, vol. 3, 2013, pp. 2-14.
  • [11] G. Ćwikła. “Real-time monitoring station for production systems”. Advanced Materials Research, vol.837, 2014, pp. 334-339.
  • [12] A. Gola and A. Świć. “Computer-Aided Machine Tool Selection for Focused Flexibility Manufacturing Systems Using Economical Criteria”. Actual Problems of Economics, vol. 124, no. 10, 2011, pp. 383-389.
  • [13] P.R. Jr. Murphy and D.F. Wood. “Contemporary Logistics”. Pearson, 2011.
  • [14] G.M. Melega, S.A. de Araujo, R. Jans. “Classification and literature review of integrated lot-sizing and cutting stock problems”. European Journal of Operational Research, vol. 271 (1), 2018, pp. 1-19.
  • [15] D. Więcek and D. Więcek. “Production Costs of Machine Elements Estimated in the Design Phase”, Book Series: Advances in Intelligent Systems and Computing, Vol. 637, 2018, pp. 380-391.
  • [16] P. Grznár, M. Gregor, Š. Mozol, M. Krajčovič, L. Dulina, M. Gašo, M. Major. “A System to Determine the Optimal Work-in-Progress Inventory Stored in Interoperation Manufacturing Buffers”. Sustainability, vol. 11(14), 3949, 2019.
  • [17] M. Krajčovič, V. Hančinský, L. Dulina, P. Grznár, M. Gašo, J. Vaculík. “Parameter setting for a genetic algorithm layout planner as a toll of sustainable manufacturing”. Sustainability, vol. 11(7), 2019, pp. 1-26.
  • [18] D. Więcek. “Implementation of artificial intelligence in estimating prime costs of producing machine elements”. Advances in Manufacturing Science and Technology, vol. 37, no. 1, 2013, pp. 43-53.
  • [19] T. Gregor, M. Krajčovič and D. Więcek. “Smart connected Logistics”. Procedia Engineering, vol. 192, pp. 265-270, 2017.
  • [20] L. Gala, J. Basl. “ERP innovation based on requirements of social responsibility measurement and evaluation”. Schriftenreihe Informatik, vol. 41, 2013, pp. 149-156.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-df4afcb0-0b2a-47b4-8460-7ba36312f345
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