An Efficient Zero-One Formulation of the Multilevel Lot-Sizing Problem

Mark A. McKnew, Cem Saydam, B. Jay Coleman

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a zero-one linear formulation of the multilevel lot-sizing problem for materials requirement planning systems without capacity constraints. The model is an efficient statement of the problem and has a structure that is particularly convenient for research work. In addition, it is demonstrated that the relaxed linear programming solution to this formulation will always be integer. The results of a rather large computational history are reported along with a variable reduction methodology that allows for the solution of reasonably sized research problems.
Original languageAmerican English
Pages (from-to)280-295
JournalDecision Sciences
Volume22
Issue number2
StatePublished - Mar 1991

Keywords

  • Studies
  • Statistical analysis
  • Mathematical models
  • Linear programming
  • Production planning
  • Material requirements plannign
  • Operations research

Disciplines

  • Economics
  • Applied Mathematics
  • Operations and Supply Chain Management
  • Econometrics

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