201
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Performance analysis for tandem manufacturing lines under variable structure production control method

, &
Pages 2363-2375 | Received 07 Dec 2010, Accepted 15 Feb 2011, Published online: 07 Jul 2011
 

Abstract

In this paper we introduce novel results for the performance of the surplus-based decentralised production control method. The main objective of this production method is to guarantee that the cumulative number of produced products follows the cumulative production demand on the output of any given network. As a starting point of our research a general idea of this method is presented for the case of one manufacturing machine. Then our analysis is extended to a line of N machines. The proposed methodology is reformulated in terms of variable structure control. The production flow process is described by means of difference equations and, in order to analyse the performance, the Lyapunov theory approach is exploited. The results obtained for the production error bounds for each machine in the line and for the buffer content bounds for each intermediate buffer are discussed. Performance and robustness issues of closed-loop flow line models are illustrated by numerical simulations. It is shown that the method can be implemented in enterprise planning tools.

Acknowledgement

The research leading to these results received partial funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement No. INFSO-ICT-223844.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 973.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.