Identification of supply chains based on input-output data

Tibor Vadvári, P. Várlaki

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The paper focuses on supply chain modeling issues, namely how subspace identification techniques can be used to characterize the strength of relations between certain system parameters. This might be useful when no knowledge about the internal workings or inner structure of the system is available, thus only blackbox like approaches can be utilized. Here let us show how supply chains can be identified and modeled by deterministic linear state space models and how the accuracy of the identified model reflects the relation between certain system parameters.

Original languageEnglish
Pages (from-to)162-167
Number of pages6
JournalPeriodica Polytechnica Transportation Engineering
Volume43
Issue number3
DOIs
Publication statusPublished - 2015

Fingerprint

Supply Chain
Supply chains
Output
Subspace Identification
State-space Model
Black Box
Linear Space
Linear Model
Internal
Modeling
Model
Knowledge

Keywords

  • Loading system
  • Modeling
  • Subspace identification
  • Supply chain

ASJC Scopus subject areas

  • Mechanical Engineering
  • Aerospace Engineering
  • Automotive Engineering
  • Modelling and Simulation

Cite this

Identification of supply chains based on input-output data. / Vadvári, Tibor; Várlaki, P.

In: Periodica Polytechnica Transportation Engineering, Vol. 43, No. 3, 2015, p. 162-167.

Research output: Contribution to journalArticle

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