Optimization of mixed casting processes considering discrete ingot sizes

Yong Kuk Park, Jung Min Yang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Using linear programming (LP), this research devises a simple and comprehensive scheduling methodology for a complicated, yet typical, production situation in real foundries: a combination of expendable-mold casting, permanent-mold casting and automated casting for large-quantity castings. This scheduling technique to determine an optimal casting sequence is successfully applied to the most general case, in which various types of castings with different alloys and masses are simultaneously produced by dissimilar casting processes within a predetermined period. The methodology proves to generate accurate scheduling results that maximize furnace or ingot efficiency. For multivariable and multi-constraint optimization problems per se, it provides an extremely practical solution which is readily implemented in most real-world casting plants. In addition, incorporating ingot adjustment from the reality of discrete ingot size, this LP scheduling can assist the casting industry in strengthening its competence by heightening ingot utilization as well as satisfying due dates.

Original languageEnglish
Pages (from-to)1899-1910
Number of pages12
JournalJournal of Mechanical Science and Technology
Volume23
Issue number7
DOIs
StatePublished - 2009

Keywords

  • Discrete ingot size
  • Expendable-mold and permanent-mold casting
  • Linear programming (LP)
  • Melting furnace
  • Optimization
  • Scheduling

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