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Inventory Management: Bi-objective Optimization Models for Mass Customization

  • Instituto Tecnologico de Estudios Superiores de Monterrey
Research Output:
Contribution to journal
Conference article
Peer-review

Open access

Publication metrics

Metrics

SciVal
Author count
2
SciVal
Paper percentile
20

Abstract

In recent years, the problem of establishing the inventory levels in the manufacturing industry has considerably worsened due to the accelerated growth in demand for customized products, this behavior in the customers has created heterogeneous and unstable demands too difficult to forecast generating an increase in inventory levels. In response to this behavior, the strategy that companies have commonly used to offer a wide variety of products to meet this demand is Mass Customization. However, this response has created products with shorter life cycles significantly increasing the risks and costs in inventories due to deterioration, re-manufacturing, and obsolescence. Little attention has been paid to determining inventory levels when a company uses mass customization as its main production strategy. This paper develops two bi-objective optimization models to determine the optimal inventory levels for those industries that, due to the nature of the product, use mass customization to meet the needs of their customers. The performance of the models is compared with the performance offered by the traditional continuous review (Q,R) policy, the results show a significant reduction in total inventory costs while maintaining high levels of customer service level.

Publication Information

Output type

Research Output:
Contribution to journal
Conference article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2767-2772 (6 pages)

Journal (Volume, Issue Number)

IFAC-PapersOnLine (Volume 55, Issue 10)

Publication milestones

  • Published - 2022

Publication status

Published - 2022

ISSN

2405-8963

Publication IDs

  • ORCID: /0000-0001-8723-3613/work/143506863
  • Scopus: 85144552949