Modeling and solving the constrained multi-items lot-sizing problem with time-varying setup cost

Shenghan Zhou, Yuliang Zhou, Xiaorong Zuo, Yiyong Xiao*, Yang Cheng

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

5 Citations (Scopus)

Abstract

The dynamic lot-sizing problem is highly complex and very important for the planning systems of manufacturing enterprises in time-varying environment, where production factors such as the production setup costs, unit storage costs, and production capacities may constantly rise or fall in different planning periods over the entire planning horizon. This paper proposed an extension model of the dynamic multi-product lot-sizing problem considering time-varying production setup cost and with dual constraints on dynamic capacities and resource limits, which carters for the actual situation of modern production and manufacturing systems in time-varying environments. Comparative experiments on synthesized problem instances were conducted by using the AMPL/CPLEX solver, which showed that the new model is efficiently on finding solutions with high qualities and the maximum size of test problems can be more than 500 products.

Original languageEnglish
JournalChaos, Solitons & Fractals
Volume116
Pages (from-to)202-207
Number of pages6
ISSN0960-0779
DOIs
Publication statusPublished - 1 Nov 2018

Keywords

  • Capacity constraints
  • Lot-sizing problem
  • MILP
  • Time-varying environment

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