Probabilistic inventory model with periodic review to improve the logistics cycle management of Lenmex Corporation S.A.C

Abstract

The research presented uses a pre-experimental design to present a probabilistic inventory model to improve the logistics management of the company Lenmex Corporation S.A.C de Trujillo. Through nonrandom sampling using the ABC classification tool, the data was collected through the application of an interview and two surveys of a sample composed of 7 SKUs corresponding to the A and B classification. A global panorama of the current policy was obtained logistics, with which, it was determined that the most suitable inventory management model was the periodic review, which was modified to adapt it to the reality of the company since it has a variable ordering cost. Subsequently, the costs for the year 2017 were calculated based on the projected demand with the Winter method. One of the conclusions reached is that with the proposed inventory management model, significant savings were achieved in total inventory costs equivalent to 41.14% with respect to the costs generated by the current model.