EURO 2024 Copenhagen
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786. A Mathematical Model for the Optimization of a Shoe Injection Machine

Invited abstract in session MC-49: Lot-sizing with industrial applications I, stream Lot Sizing, Lot Scheduling and Production Planning.

Monday, 12:30-14:00
Room: M1 (building: 101)

Authors (first author is the speaker)

1. Eliana Costa e Silva
CIICESI, ESTG, Instituto Politécnico do Porto
2. Adelaide Cerveira
Mathematics Department, UTAD & LIAAD/INESC-TEC
3. Norberto Jorge Gonçalves
Physics Department, University of Trás-os-Montes e Alto Douro
4. Rui Borges Lopes
Dep. of Economics, Management and Industrial Engineering, CIDMA / University of Aveiro
5. Conceição Nogueira
Matemática, Instituto Politécnico de Leiria

Abstract

The present study introduces a novel mathematical model developed to address a challenge posed at the 174th European Study Group with Industry, by a prominent footwear company. The objective is to design a model that optimizes the utilization of shoe injection machines, machines used to produce a diverse range of shoe models and colors of shoes across up to 15 different sizes. The primary goal is to enhance production efficiency throughout the manufacturing process, including the preparation and finishing phases. To tackle this complex optimization problem, an integer programming model has been developed. This model is designed to minimize setup times associated with changes in color, model, and size, thereby streamlining the production process. Moreover, considering the substantial investment involved, the model also takes into consideration the limited availability of molds. In this work, some preliminary findings derived from both academic and real-world instances will be presented. Additionally, ongoing efforts and future enhancements aimed at refining the efficacy of the proposed model will be outlined.
This work has been partially supported by national funds through FCT - Fundação para a Ciência e Tecnologia, under the project UIDB/04728/2020.

Keywords

Status: accepted


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