A multi-item inventory model with shortages and demand dependent on unit cost has been formulated along with storage space and set up cost constraints. In most of the real world situations the cost parameters are imprecise in nature. Hence the cost parameters are imposed here in fuzzy environment. This model is solved by Kuhn-Tucker conditions method. The model is illustrated with numerical example. The model is solved for without shortages as a special case.
Air traffic, worldwide, keeps growing strongly, creating critical capacity situations and traffic congestion. Large delays are suffered by airlines, passengers and airport authorities alike. When a rough estimate is needed, the results of queuing theory can be used to analyse airport runway systems, but when airports are too congested or a more realistic description of the system behaviour is necessary, a simulation approach is a good alternative. This research outlines the limits of the analytical approach and shows how to build a simulation procedure. This procedure is able to measure the performance of an airport runway used only for arrivals, with different traffic mixes and operational variables. The impact of future technological systems is also considered.
A Multi-item inventory model with increasing holding cost, under available limited storage space and total investment cost is considered in this paper. The varying holding cost is considered to be a continuous function of production quantity. A demand dependent on unit cost has been considered and this unit cost is taken in fuzzy environment. The model is solved using Kuhn-Tucker conditions method. The model is illustrated with a numerical example.
A multi-item inventory model without shortages subject to linear and non-linear constraints are considered in this paper.A mathematical model of inventory control problem for determining the minimum total cost is presented. In most of the real world situations the cost parameters,the objective functions and constraints of the decision makers are imprecise in nature. Hence the cost parameters are imposed here 6730 R. Kasthuri and C. V. Seshaiah in fuzzy environment. A demand dependent on unit cost has been considered and this unit cost is taken in fuzzy environment. An analytical solution of the economic production runsize is derived by Kuhn-Tucker conditions method. A numerical example is presented to illustrate the optimal solution of a given model.
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