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A lean approach for reducing inventory for a Mexican convenience store network

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Sustainable Development Goals

  • SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Publication metrics

Metrics

SciVal
FWCI
0.42
SciVal
Author count
4
SciVal
Paper percentile
48
SciVal
Citations
1
Scopus
Citations

Abstract

The Lean Manufacturing approach for waste elimination can be applied in all sorts of operations. In this work this approach is adapted and applied for the reduction of inventory in the network of convenience stores of the leading Mexican company in this sector. The work describes the efforts devoted to achieve such objective in the store network served by the Distribution Center (DC) of San Martin located in Mexico City (CDMX). The initiatives considered are the increase of store inventory replenishment frequency and the reduction of the delivery time from the DC to the stores. The use of lean tools and mathematical models for defining replenishment frequencies and delivery routes is described. The description of expected results and those of a pilot program are given.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Original language

English

Pages from-to (Number of pages)

Pages 557-563 (7 pages)

Publication milestones

  • Published - 2021

Publication status

Published - 2021

Publisher

IEOM Society

Publication series

  • Publication series name: Proceedings of the International Conference on Industrial Engineering and Operations Management
    ISSN (Electronic): 2169-8767
9781792361241

Publication IDs

  • Scopus: 85114218455

Host publication title

Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021

Related Event

Title

11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021

Event type

Conference

Date

07/03/2021 - 11/03/2021

Location

Virtual, Online