Title
Collaborative model to reduce stock breaks in the peruvian retail sector by applying the s&op methodology
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Springer
Abstract
The retail sector is a growing industry, however with serious problems associated with inventories such as stock breakage. This article proposes a collaborative model applying the S&OP methodology to reduce stock breakages in a Peruvian company in the retail sector through a purchasing plan designed by the interaction and participation of different actors in charge of the process. The results of the model are measured by the percentage of stock breaks, the demand forecast error and the increase in sales. In the diagnosis of the problem two factors were identified that cause the stock breaks. The first is caused by the delay that exists in the replenishment of inventories, due to the bad programming of delivery of products between the distribution center and the stores. The second is related to the insufficient amount of purchases caused by not properly categorizing the products, poor forecast and not having safety inventory policies. A simulation resulted in a 17% stock breakage reduction, a 17% forecast error decrease, and a 15% sales increase.
Start page
532
End page
538
Volume
1253 AISC
Language
English
OCDE Knowledge area
Negocios, Administración
Ingeniería industrial
Subjects
Scopus EID
2-s2.0-85089621625
Source
Advances in Intelligent Systems and Computing
Resource of which it is part
Advances in Intelligent Systems and Computing
ISSN of the container
21945357
ISBN of the container
9783030553067
Conference
3rd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET 2020 Paris 27 August 2020 through 29 August 2020
Sources of information:
Directorio de Producción Científica
Scopus