The present paper proposes the results of an experimental campaign targeted to investigate the applicability in real contexts of a new approach for the calculation of the Economic Order Quantity (EOQ) when a multitude of item have to be stored in a limited space. The approach, already presented in the literature in its basic principles, has been modified in order to make it more suitable for real needs. Subsequently, the so obtained algorithm has been tested, in simulated scenarios, with the purpose of identifying the regulation parameters with significant influence on the final results, their best values and the average level of performances the approach is able to guarantee, in terms of total cost of stock and mean saturation of the warehouse. The outcomes of this study confirm the general validity of the approach even if some more deepen investigations are still necessary before a possible implementation in a real stock management application.
Experimental analysis of the applicability of a multi-item constrained EOQ calculation algorithm
MIRANDA, Salvatore;FERA, MARCELLO;IANNONE, RAFFAELE;RIEMMA, Stefano
2014
Abstract
The present paper proposes the results of an experimental campaign targeted to investigate the applicability in real contexts of a new approach for the calculation of the Economic Order Quantity (EOQ) when a multitude of item have to be stored in a limited space. The approach, already presented in the literature in its basic principles, has been modified in order to make it more suitable for real needs. Subsequently, the so obtained algorithm has been tested, in simulated scenarios, with the purpose of identifying the regulation parameters with significant influence on the final results, their best values and the average level of performances the approach is able to guarantee, in terms of total cost of stock and mean saturation of the warehouse. The outcomes of this study confirm the general validity of the approach even if some more deepen investigations are still necessary before a possible implementation in a real stock management application.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.