TY - GEN
T1 - Inventory Management System for the case study of a Cement Distributor
AU - Soto-DelaVega, Manuel
AU - Vásquez, Jenifer
AU - Eduardo Fuquene-Retamoso, Carlos
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - The present article provides an in-depth analysis of the implementation of an inventory management system within a distributor, structured around three key stages: demand analysis, inventory modeling, and technological tool development. During the initial phase, individual product references underwent scrutiny, with demand projections generated using simple smoothing techniques due to the limited historical data availability, reflecting the company's recent market entry. In the subsequent phase, an Economic Order Quantity (EOQ) model was employed, underscoring its significance as a widely recognized and adaptable approach in the literature. Model parameters were fine-tuned to optimize inventory levels and minimize holding costs, resulting in tangible enhancements in operational efficiency and decision-making processes. Finally, a prototype of a technological tool was crafted in the concluding stage, amalgamating hardware, software, and an intuitive interface. This application facilitates streamlined inventory management, supplemented by the capability to generate insightful reports supporting strategic decision-making endeavors. Collectively, this study furnishes a comprehensive overview of the inventory management system implementation process, furnishing invaluable insights to bolster operational efficiency and competitive prowess within the distributor's market landscape.
AB - The present article provides an in-depth analysis of the implementation of an inventory management system within a distributor, structured around three key stages: demand analysis, inventory modeling, and technological tool development. During the initial phase, individual product references underwent scrutiny, with demand projections generated using simple smoothing techniques due to the limited historical data availability, reflecting the company's recent market entry. In the subsequent phase, an Economic Order Quantity (EOQ) model was employed, underscoring its significance as a widely recognized and adaptable approach in the literature. Model parameters were fine-tuned to optimize inventory levels and minimize holding costs, resulting in tangible enhancements in operational efficiency and decision-making processes. Finally, a prototype of a technological tool was crafted in the concluding stage, amalgamating hardware, software, and an intuitive interface. This application facilitates streamlined inventory management, supplemented by the capability to generate insightful reports supporting strategic decision-making endeavors. Collectively, this study furnishes a comprehensive overview of the inventory management system implementation process, furnishing invaluable insights to bolster operational efficiency and competitive prowess within the distributor's market landscape.
KW - Demand analysis
KW - EOQ model
KW - Inventory management
UR - http://www.scopus.com/inward/record.url?scp=85203827081&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2024.1.1.1817
DO - 10.18687/LACCEI2024.1.1.1817
M3 - Conference contribution
AN - SCOPUS:85203827081
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
Y2 - 17 July 2024 through 19 July 2024
ER -