Optimal tool replacement and resetting strategies in automated manufacturing systems
A. K. Sheikh
International Journal of Production Research, 1999, vol. 37, issue 4, 917-937
Abstract:
As a result of tool wear in machining processes there is a change in the dimensions of parts produced. To minimize the cost of producing parts out of specifications and to minimize the overall tooling cost, the optimal tool resetting and replacement intervals need to be determined. In this paper, the optimal cost models are proposed for tool replacement and resetting by using renewal functions. The tool life as well as tool reset times are modelled as inverted normal distributions. Numerical solutions are presented for the proposed models. To illustrate the application of the models, a case study of machining a part on a Mazak CNC machine is presented. The dimensional changes of various surfaces of the machined parts are monitored along with the corresponding tool wear as a function of time. The data obtained have demonstrated the validity of the proposed models, their underlying assumptions, and they illustrate the utilization of such an analysis in a flexible manufacturing system, where such CNC machines are the integral part of the system.
Date: 1999
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/002075499191607 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:37:y:1999:i:4:p:917-937
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/002075499191607
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().