Inventory Management System for the case study of a Cement Distributor

Manuel Soto-DelaVega, Jenifer Vásquez, Carlos Eduardo Fuquene-Retamoso

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology
Subtitle of host publicationSustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0., LACCEI 2024
PublisherLatin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)9786289520781
DOIs
StatePublished - 2024
Event22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024 - Hybrid, San Jose, Costa Rica
Duration: 17 Jul 202419 Jul 2024

Publication series

NameProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (Electronic)2414-6390

Conference

Conference22nd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2024
Country/TerritoryCosta Rica
CityHybrid, San Jose
Period17/07/2419/07/24

Keywords

  • Demand analysis
  • EOQ model
  • Inventory management

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