Fuzzy Inventory Model with Single Item Under Constant Demand and Time Dependent Holding Cost

The objective of this model is to discuss the inventory model for constant  demand and time dependent holding cost. Mathematical model has been developed for determining the optimal order quantity, the optimal cycle time and optimal total inventory cost in fuzzy environment. For defuzzification, graded unit preference integration method is used. Numerical examples are given to validate the proposed model. Sensitivity analysis is carried out to analyze the effect of changes in the optimal solution with respect to change in various parameters

Machine interference problem with fuzzy environment

Abstract Machine interference is a significant problem in many manufacturing system and client server computing. Machine interference problem involve many parameters like break down rate, service rate, machine production rate, etc. Due to uncontrollable factors parameters in the machine interference problem may be fuzzy. This paper, proposes a methodology for constructing system performance measures, where breakdown rate and service rate are trapezoidal fuzzy numbers. Function principle is used as arithmetic operations of fuzzy trapezoidal numbers. Numerical example is solved successfully to illustrate the validity of the proposed approach. Since the system characteristics being expressed as a fuzzy trapezoidal numbers more information is provided for used by Management. By extending the fuzzy environment, the fuzzy queues can be represented more accurately by using the proposed approach, and the analysis of results for such queuing model will be useful and significant for system designers and practitioners

Contributions to Game Theory and Management. Vol. III. Collected papers presented on the Third International Conference Game Theory and Management.

The collection contains papers accepted for the Third International Conference Game Theory and Management (June 24-26, 2009, St. Petersburg University, St. Petersburg, Russia). The presented papers belong to the field of game theory and its applications to management. The volume may be recommended for researches and post-graduate students of management, economic and applied mathematics departments.