Discrete lot sizing and scheduling problem under batch processing constraints in the semiconductor manufacturing

Jun Ho Lee, Sun Hoon Kim, Young Hoon Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Highly advanced technology products are manufactured on the series of equipment having various characteristics and requirements. The deposition process of organic light emitting diode, for example, is performed in chambers for a long manufacturing time, while various product devices belonging to the same family can be processed in sequence before the preventive maintenance schedule or the refill of chemical gas required. The deposition process plays as a bottleneck, and its productivity of the schedule is critical to the upstream low-temperature poly silicon process and the downstream encapsulation and module processes as well. The batch family scheduling problem is formulated using the mixed-integer programming (MIP) in consideration of the family setups, lot sizing, supplementary mask tools requirements, and material exhaustion requirements. It is shown that the planning and scheduling decisions can be made simultaneously in an integrated model, and that it can be implemented in the actual manufacturing line. Through the optimized model analysis, the capacity can be enhanced by 20∼30 % without losing the throughput and demand satisfaction as well.

Original languageEnglish
Pages (from-to)383-396
Number of pages14
JournalInternational Journal of Advanced Manufacturing Technology
Volume69
Issue number1-4
DOIs
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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