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2014 | 5 | nr 1 | 11--20
Tytuł artykułu

Adaptive Inventory Control System for Material Items with Continuous Non-Stationary Demand

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes an algorithm of dynamic inventory control system for large numbers of material items with continuous non-stationary demand. It uses principles of pull inventory control systems, statistical inventory analysis and joint replenishment inventory systems. This algorithm was processed in software module (VBA for Excel) and applied in practice. The target of described algorithm is to keep an optimum inventory level and optimum customer service level in terms of inventory control of items with non-stationary demand. (original abstract)
Rocznik
Tom
5
Numer
Strony
11--20
Opis fizyczny
Twórcy
  • University of Žilina, Slovakia
  • University of Bielsko-Biała, Poland
Bibliografia
  • [1] Čambál M., Cibulka V., Logistics in production enterprises (in Slovak), STU, Bratislava 2008.
  • [2] Emmett S., Resource management. Computer Press, Brno 2008.
  • [3] Gregor M., Mičieta B., Bubeník P., Production planning (in Slovak), EDIS, Žilina 2005.
  • [4] Muller M., Essentials of Inventory Management, AMACOM, New York 2011.
  • [5] Więcek D., Introduction to logistics processes in production enterprises (in Polish), Publisher of the University of Bielsko-Biała, Bielsko-Biała 2011.
  • [6] Aksoy Y., Erenguc S., Multi-item inventory models with coordinated replenishments: a survey, International Journal of Operations and Production Management, 8, 63-73, 1988.
  • [7] Ben- Daya M., Hariga M., Comparative study of heuristics for the joint replenishment problem, Omega, International Journal of Management Science, 23, 341-344, 1995.
  • [8] Klein C.M., Ventura J.A., An optimal method for a deterministic joint replenishment inventory policy in discrete time, Journal of Operational Research Society, 46, 649-657, 1995.
  • [9] Wildeman R.E., Frenk J.B.G., Dekker R., An efficient optimal solution method for the joint replenishment problem, European Journal of Operational Research, 99, 433-444, 1997.
  • [10] Viswanathan S., A new optimal algorithm for the joint replenishment problem, Journal of Operational Research Society, 47, 936-944, 1996.
  • [11] Frenk J.B.G., Kleijn M.J., Dekker R., An efficient algorithm for a generalized joint replenishment problem, European Journal of Operational Research, 118, 413-428, 1999.
  • [12] Chan K.C., Cheung B.K.-S., Langevin A., Solving the multi-buyer joint replenishment problem with a modified genetic algorithm, Transportation Research Part B, 37, 291-299, 2003.
  • [13] Hnát J., Gregor M., Economic espects of simulation usage (in Slovak), International Conference InvEnt 2007, Belušské Slatiny, Slovak Productivity Center, Zilina 2007.
  • [14] Plinta D., Optimisation methods in modeling and simulation of production systems, In: Applied computer science - Supporting enterprise management processes, Publisher of the University of Bielsko- Biała, Bielsko-Biala 2009, pp. 81-94.
  • [15] Štefánik A., Furmann R., Computer simulation - aided designing of production and logistics systems (in Slovak), In: Ai magazine - journal about the automotive industry, mechanical engineering and economics, 4, 2, 46- 47, 2011.
  • [16] Štefánik A., Grznár P., Simulation of logistics systems- loss prevention in implementation of innovation system (in Slovak), In: Productivity and Innovation, Slovak Productivity Center, 5, 6, 2006.
  • [17] Krajčovič M., Integrated approach of inventory analysis and reduction, In: Metody i techniki zarządzania, Vol. III, Publisher of the University of Bielsko-Biała, Bielsko-Biała 2009, pp. 159-162.
  • [18] Krajčovič M., Joint replenishment and reorder point systems in purchase order determining, In: Produktywność i Innowacje 1/2007, Publisher of the University of Bielsko-Biała, p. 11-13.
  • [19] Krajčovič M., Plinta D., Comprehensive approach to the inventory control system improvement, In: Management and Production Engineering Review, 3, 3, 34-44, 2012.
  • [20] Prošek M., Edl M., Dynamic model for transport and logistics management business networks with parameters determined by the overall demand (in Czech), In: Modelování a optimalizace podnikových procesů, Západočeská univerzita, Plzeň 2009, pp. 1-9.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171324549

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