Features of Multinomenclature Deliveries Optimization Taking into Account the Vehicles Choice Ability and Their Cargo Capacity

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MAGAZINE №4 (81) August 2017


CATEGORY  Optimization and mathematical modelling Inventory management


Both the block diagram and the methodological recommendations for the use of the new improved algorithm for optimizing the parameters of the multinomenclature supply strategy taking into account the features of transport support in the format of EOQ models are presented for the first time. The procedures for optimizing the supply strategy for the simulated situation for the first time illustrate their features and specifics, with allowing factoring in the important attributes of the supply chain operation. In particular, they include the factor of cargo capacity of used vehicles, as well as the choice of vehicle types for the orders supply. The factor of profitability, in turn, requires taking the conditions for the expediency of deliveries using several vehicles at once (at discounts on the cost of such deliveries) into account when optimizing. At the same time, the time value of money requires an adequate assessment of the effectiveness of cash flows of the supply chain itself (in particular, taking into account the specificity of the indicator of the return on working capital, depending on the loading of vehicles for the order delivery). The corresponding recommendations are illustrated by the example of EOQ-models of the special type. We are talking about models in which a special efficiency of supply is assumed a priori: the profit will be received at each delivery of goods. At the same time, the proceeds from the delivery can be used both to cover part of the costs for such delivery, and to pay for the delivery of the next order. Accordingly, it is illustrated how in the format of the optimization algorithm it is necessary to take into account the conditions, the fulfillment of which allows to ensure the possibility of making such payments from the proceeds. For the first time drawn attention to the possibility of using the methods of choice at many criteria in situations where the indicators of minimized costs in the analyzed alternatives among themselves slightly differ.

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