TY - GEN
T1 - Collaborative model to reduce stock breaks in the peruvian retail sector by applying the s&op methodology
AU - Paredes-Torres, Franco
AU - Almeyda-Crisostomo, Genesis
AU - Viacava-Campos, Gino
AU - Aderhold, Daniel
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Forecast
KW - Inventories
KW - Processes
KW - Retail
KW - S&OP
UR - https://www.scopus.com/pages/publications/85089621625
U2 - 10.1007/978-3-030-55307-4_81
DO - 10.1007/978-3-030-55307-4_81
M3 - Contribución a la conferencia
AN - SCOPUS:85089621625
SN - 9783030553067
T3 - Advances in Intelligent Systems and Computing
SP - 532
EP - 538
BT - Human Interaction, Emerging Technologies and Future Applications III - Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies
A2 - Ahram, Tareq
A2 - Taiar, Redha
A2 - Langlois, Karine
A2 - Choplin, Arnaud
PB - Springer
T2 - 3rd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET 2020
Y2 - 27 August 2020 through 29 August 2020
ER -