THE COST AND LOSS FUNCTION IN THE RESEARCH OF MULTIPURPOSE ASSEMBLIES
Using the example of three multipurpose assemblies (MPA) we have presented the possibility of the cost and loss function appliance for the substantiation of the design and operating parameters as the criterion of optimization. The mentioned objective function of mathematical model is the sum of expenses on the performance of the scheduled amount of automated tasks and the cost of the crop loss related to the failure of meeting deadlines. It is common knowledge that the longer the execution of work lasts (e.g. crop harvesting), the more value it loses. The extremum of the cost and loss function is the minimum of the sum of expenses and the cost of losses which sets the optimal parameters, the mode of the MPA functioning and the work duration. The cost of inputs for the work performance within the objective function includes operating costs of the MPA for the scheduled amounts of work. With the increase of the duration of these works the expenses decrease, however, the cost of losses grows. The sum of the costs of inputs and losses has the extremum that sets the solution optimality. The cost of crop losses depends on the purchase price for the harvested crops and the crop losses intensity for each day of harvesting which we have already developed significant dependencies for. We have suggested the control flow charts for optimizing the MPA parameters and their functioning modes, we have evolved the notion of the objective function and the method of its calculation for different sets of assemblies. Through the example of the multipurpose complex assembly for stubble soil cultivation and simultaneous green manure dropping, we have analyzed the results of the task solution using the cost and loss function which is an effective method of the parameter optimization and the functioning modes of various machine assemblies and facilitates the choice of alternative options