Bibliographic citations
Lagos, A., (2022). Diseño de un sistema de inventarios para reducir los costos logísticos en la Ferretería Justiniano Soto Villanueva S. R. L. [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/31745
Lagos, A., Diseño de un sistema de inventarios para reducir los costos logísticos en la Ferretería Justiniano Soto Villanueva S. R. L. [Tesis]. PE: Universidad Privada del Norte; 2022. https://hdl.handle.net/11537/31745
@misc{renati/521030,
title = "Diseño de un sistema de inventarios para reducir los costos logísticos en la Ferretería Justiniano Soto Villanueva S. R. L.",
author = "Lagos Malpica, Adrián Martín",
publisher = "Universidad Privada del Norte",
year = "2022"
}
The hardware store Justiniano Soto Villanueva S.R.L. is in charge of the wholesale of construction materials, hardware, equipment, plumbing and heating materials in the city of Cajamarca; and like any company has a qualified group in the administrative and operational part. A problem that this company has is the over-inventory that has been generated over the years for these reasons; an interesting price was taken advantage of by volume or before a price increase, poor organization and communication problems with the sales area about the best-selling products, devaluation of stored products, when the logistics area was specifically observed in the warehouse, a lack of coordination was found in the inventory, the products enter without a measured control, there is a stock that has not rotated in years, generating its expiration and devaluation, when placing orders for new merchandise there is no efficient forecast that can alert us of how is the rotation of the products in the following month, there is no control of merchandise arrival time, the forecast for the merchandise order is uncertain, since they make decisions according to personal criteria and not with a sales projection. Given this, business resource planning by its acronym ERP was implemented to reduce its time based on costs, which was verified with the linear regression
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