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2014 | 5 | nr 1 | 3--10
Tytuł artykułu

Design for Manufacturability in Virtual Environment Using Knowledge Engineering

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Design for manufacturing (DFM) strategies help companies to develop new products that are feasible to manufacture. In the early stages of design all engineering activities are initiated in computer aided systems. When the design is finished, the process of manufacturing and production planning begins. Issues often occur at this point because two teams, designers and manufacturers, have been working separately. The resulting question is: 'how can Knowledge Engineering (KE) be used effectively to enhance manufacturability during early design?' Even if the most complex geometrical product can be realized using today's technologies such as rapid prototyping it is only true in unit production. In lot and mass production where CNC machines are used, complex geometry causes a number of difficulties. So it is important to investigate the project carefully in the early design stage from the point of view of whether it will be possible to manufacture. (original abstract)
Rocznik
Tom
5
Numer
Strony
3--10
Opis fizyczny
Twórcy
  • University of Zielona Gora, Poland
  • Slovak University of Technology in Bratislava
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. [Web of Science]
  • [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., Edl M., Dynamic model for transport and logistics management business networks with parameters determined by the overall demand (in Czech), In: Modelov´an´ı a optimalizace podnikov ´ych proces˚u, Západočeská univerzita, Plzeň 2009, pp. 1-9.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171320119

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