engleski

Rationalization of Cereal and Oil Crops Delivery Process by Means of Queuing Models

Improved organization and management could save significant financial resources and time in a number of farmer activities. The process of cereal and oil crops delivery into the crop purchase system after harvesting is certainly one of these situations. As a rule, in this period there are long lines of trucks and tractors with trailers at delivery spots, forming queues. By keeping agricultural machinery too long at crop delivery spots, harvesting and other activities are put on hold. Because of such delays, there is a risk of bad weather having a negative impact on the harvest as well. The irritating aspect of waiting is a particular problem. All these issues have necessitated the rationalization of delivery in the crop purchase system. With this aim in mind, this paper presents theoretically and on a hypothetical example the procedure of designing and solving the queuing model with multiple phase system. Its application presupposes that the arrival distribution of vehicles used for cereal and oil crops transport follows the Poisson distribution. It is further assumed that the random variable representing service time has the exponential distribution. The problem under scrutiny here is formulated as a model consisting of several consecutive and independent queuing models, and each of them can have one or more servers. Although the obtained results are of a descriptive character, they will enable managers to comprehend more clearly the queuing problem and take steps that will improve the process of crop delivery and purchase after harvesting. The proposed model is component of decision support system in cereal and oil crops delivery process.

queuing models ; process of crop delivery ; rationalization ; decision support system

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