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An inventory control model using fuzzy logic

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  • Samanta, B.
  • Al-Araimi, S. A.

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  • Samanta, B. & Al-Araimi, S. A., 2001. "An inventory control model using fuzzy logic," International Journal of Production Economics, Elsevier, vol. 73(3), pages 217-226, October.
    • Handle: RePEc:eee:proeco:v:73:y:2001:i:3:p:217-226
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    References listed on IDEAS

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    1. Towill, D. R. & Yoon, S. S., 1982. "Some features common to inventory system and process controller design," Engineering Costs and Production Economics, Elsevier, vol. 6(1), pages 225-236, April.
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    Cited by:

    1. Prasert Aengchuan & Busaba Phruksaphanrat, 2018. "Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS + ANN) and FIS with adaptive neuro-fuzzy inference system (FIS + ANFIS) for inventory control," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 905-923, April.
    2. K A H Kobbacy & S Vadera & M H Rasmy, 2007. "AI and OR in management of operations: history and trends," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 10-28, January.
    3. Mula, J. & Poler, R. & Garcia-Sabater, J.P. & Lario, F.C., 2006. "Models for production planning under uncertainty: A review," International Journal of Production Economics, Elsevier, vol. 103(1), pages 271-285, September.
    4. Van Nyen, Pieter L. M. & Van Ooijen, Henny P. G. & Bertrand, J.W.M.J. Will M., 2004. "Simulation results on the performance of Albin and Whitt's estimation method for waiting times in integrated production-inventory systems," International Journal of Production Economics, Elsevier, vol. 90(2), pages 237-249, July.

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