An integrated intelligent inventory control system for a marble plant

In this study, a multiple product inventory problem is analyzed for a marble plant located in Ankara, Turkey, which has high inventory levels. Inventory control problem is one of the most crucial problems for all sectors. Problem is evaluated within the fuzzy approach and an integrated intelligent inventory control system is developed for the plant. By the use of the proposed system which help the decision maker to choose the most appropriate product from the inventory. By this way, it is possible to decrease the inventory levels and costs, and also increase the productivity, production efficiency and customer response.

[1]  I. Turksen.  Approximate reasoning for production planning , 1988 .

[2]  Mitsuo Gen,et al.  An application of fuzzy set theory to inventory control models , 1997 .

[3]  Pierpaolo Pontrandolfo,et al.  A fuzzy echelon approach for inventory management in supply chains , 2003, Eur. J. Oper. Res..

[4]  Graham K. Rand,et al.  Decision Systems for Inventory Management and Production Planning , 1979 .

[5]  K. S. Park,et al.  Fuzzy-set theoretic interpretation of economic order quantity , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  Kunhiraman Nair,et al.  Fuzzy models for single-period inventory problem , 2002, Fuzzy Sets Syst..

[7]  Nasir Ghiaseddin,et al.  Expert systems for inventory control management , 1989 .

[8]  Mahmut Parlar,et al.  EXPIM: a knowledge-based expert system for production/inventory modelling , 1989 .

[9]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[10]  N C Proudlove,et al.  Intelligent management systems in operations: a review , 1998, J. Oper. Res. Soc..

[11]  David Stockton,et al.  Identifying Economic Order Quantities Using Genetic Algorithms , 1993 .

[12]  B. Samanta,et al.  An inventory control model using fuzzy logic , 2001 .

[13]  I. Burhan Türksen,et al.  An expert system prototype for inventory capacity planning: An approximate reasoning approach , 1991, Int. J. Approx. Reason..

[14]  James T. Luxhoj,et al.  A prototype knowledge-based system (KBS) for selection of inventory control policies , 1993 .