On production planning and scheduling in food processing industry: Modelling non-triangular setups andproduct decay

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10 Citations (Scopus)

Abstract

Production planning and scheduling in food processing industry (FPI) requires taking specific characteristics into account. First of all, setups are usually sequence-dependent and may include the so-called non-triangular setup conditions. Secondly, planning problems in FPI must take product decay into consideration. We present an MILP model that handles these characteristics. We study its behaviour and complexity and show that optimal production schedules become significantly different when non-triangular setups and product decay are taken into account. Numerical results are provided for medium size instances, including a comparison with a standard MP-based heuristic.

Original languageEnglish
Pages (from-to)147-154
JournalComputers and Operations Research
Volume76
DOIs
Publication statusPublished - 2016

Keywords

  • Food processing industry
  • Mixed integer programming
  • Non-triangular setups
  • Product decay
  • Sequence-dependent setups

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