Batch assignment of parallelmachines in an automotive safety glass manufacturing facility

Juan Felipe Mora, Rabie Nait-Abdallah, Alvaro J. Lozano, Carlos Montoya, Ricardo Otero-Caicedo

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this paper, optimization algorithms are used to solve a batch assignment problem of parallel processing furnaces in American Glass Products (AGP), a world leader company in the design and manufacturing of curved armored glass for transportation purposes. The problem consists in optimizing the bending process, which is considered to be the bottleneck workstation in the armored glasses production line in AGP. The objective is to maximize the efficiency of the furnaces and minimize the tardiness delivery of orders. Due to the complexity and constraints of the problem, we developed a proper dispatch algorithm and a Tabu search technique. The results are encouraging: The indicators of furnace usage hours and tardiness delivery improved by 32 % and 7 %, respectively compared to the decisions made in the plant during an actual production week. This work was the winner of an operation research challenge between around 100 graduate students. The challenge was organized by Javeriana University and AGP.

Translated title of the contributionAsignación de lotes de máquinas paralelas de procesamiento en una instalación de fabricación de vidrio para seguridad automotriz
Original languageEnglish
Pages (from-to)1-21
Number of pages21
JournalIngenieria y Universidad
Volume24
DOIs
StatePublished - 2020

Keywords

  • Armored glass
  • Batch processing machines problem (BPM)
  • Optimization
  • Tabu search

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