Robust production control against propagation of disruptions

T. Tolio, M. Urgo, J. Váncza

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

In hierarchical production control systems, planning decides on capacities and operations so as to meet demand, while scheduling should guarantee the execution of production plans even in face of uncertainties. The management practice advocates rolling horizon approaches despite the danger of plan nervousness. We propose a novel framework to handle uncertainties closer to the root of their sources, when scheduling local resources. The method keeps the complexity of planning and scheduling at bay and stops the propagation of local disruptions to other resources. The paper presents the theoretical model, the solution technique, and shows their applicability on a case study taken from the tool industry.

Original languageEnglish
Pages (from-to)489-492
Number of pages4
JournalCIRP Annals - Manufacturing Technology
Volume60
Issue number1
DOIs
Publication statusPublished - 2011

Fingerprint

Production control
Scheduling
Planning
Control systems
Industry
Uncertainty

Keywords

  • Production planning
  • Scheduling
  • Stochastic modeling

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Robust production control against propagation of disruptions. / Tolio, T.; Urgo, M.; Váncza, J.

In: CIRP Annals - Manufacturing Technology, Vol. 60, No. 1, 2011, p. 489-492.

Research output: Contribution to journalArticle

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