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An integrated cost model for metal cutting operations based on engagement time and a cost breakdown approach

Ståhl, Jan Eric LU (2017) In International Journal of Manufacturing Research 12(4). p.379-404
Abstract

In all manufacturing processes, it is important to determine the costs and their distribution between different sequential processing steps. A cost equation based directly on the losses during manufacturing, such as rejection rate, stops and waste of workpiece materials, also provides a valuable aid in giving priority to various development activities and investments. The present work concerns how a cost model presented earlier for calculating part costs can be developed to describe part costs as a function of the cutting data and tool life time T selected. This enables a tool life model to be a directly integrated into the cost model by use of tool engagement time. The model presented also takes into account the part costs for scrap... (More)

In all manufacturing processes, it is important to determine the costs and their distribution between different sequential processing steps. A cost equation based directly on the losses during manufacturing, such as rejection rate, stops and waste of workpiece materials, also provides a valuable aid in giving priority to various development activities and investments. The present work concerns how a cost model presented earlier for calculating part costs can be developed to describe part costs as a function of the cutting data and tool life time T selected. This enables a tool life model to be a directly integrated into the cost model by use of tool engagement time. The model presented also takes into account the part costs for scrap incurred in connection with forced tool changes. Examples are also given of how the model developed can be used in the economic evaluation of various cutting tools and workpiece materials.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Colding equation, Cost breakdown approach, Cost model, Cutting data., Metal cutting, Tool life
in
International Journal of Manufacturing Research
volume
12
issue
4
pages
26 pages
publisher
Inderscience
external identifiers
  • scopus:85037809927
ISSN
1750-0591
DOI
10.1504/IJMR.2017.088397
language
English
LU publication?
yes
id
112e2482-add0-4bc4-a051-ac7b07852dab
date added to LUP
2018-01-04 13:31:55
date last changed
2018-01-04 13:31:55
@article{112e2482-add0-4bc4-a051-ac7b07852dab,
  abstract     = {<p>In all manufacturing processes, it is important to determine the costs and their distribution between different sequential processing steps. A cost equation based directly on the losses during manufacturing, such as rejection rate, stops and waste of workpiece materials, also provides a valuable aid in giving priority to various development activities and investments. The present work concerns how a cost model presented earlier for calculating part costs can be developed to describe part costs as a function of the cutting data and tool life time T selected. This enables a tool life model to be a directly integrated into the cost model by use of tool engagement time. The model presented also takes into account the part costs for scrap incurred in connection with forced tool changes. Examples are also given of how the model developed can be used in the economic evaluation of various cutting tools and workpiece materials.</p>},
  author       = {Ståhl, Jan Eric},
  issn         = {1750-0591},
  keyword      = {Colding equation,Cost breakdown approach,Cost model,Cutting data.,Metal cutting,Tool life},
  language     = {eng},
  number       = {4},
  pages        = {379--404},
  publisher    = {Inderscience},
  series       = {International Journal of Manufacturing Research},
  title        = {An integrated cost model for metal cutting operations based on engagement time and a cost breakdown approach},
  url          = {http://dx.doi.org/10.1504/IJMR.2017.088397},
  volume       = {12},
  year         = {2017},
}