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A cost model for determining an optimal automation level in discrete batch manufacturing

Windmark, Christina LU ; Gabrielson, Per LU ; Andersson, Carin LU and Ståhl, Jan-Eric LU (2012) 45th CIRP Conference on Manufacturing Systems 2012 In Procedia CIRP 3. p.73-78
Abstract
An economic model for determining the optimal automation level for discrete batch manufacturing is presented. The model describes how the costs of parts varies between manufacturing systems of different types at differing automation levels, the part costs often being highly dependent upon the automation level selected. The optimal automation level in a given case can be determined using a relative help variable, one expressing the ratio of the equipment costs to the sum of the salary and the equipment costs per hour. A case study is used for exemplifying use of the model, indicating what broad application it can have.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
45th CIRP Conference on Manufacturing Systems 2012
series title
Procedia CIRP
volume
3
pages
73 - 78
publisher
Elsevier
conference name
45th CIRP Conference on Manufacturing Systems 2012
conference location
Athens, Greece
conference dates
2012-05-16 - 2012-05-18
external identifiers
  • wos:000314630700013
  • scopus:84879194082
ISSN
2212-8271
ISBN
9781627485128
DOI
10.1016/j.procir.2012.07.014
language
English
LU publication?
yes
id
4eb79a6d-6222-4695-8b3c-48e6ef8ab8cb (old id 3403986)
date added to LUP
2016-04-01 14:08:49
date last changed
2022-02-02 00:49:55
@inproceedings{4eb79a6d-6222-4695-8b3c-48e6ef8ab8cb,
  abstract     = {{An economic model for determining the optimal automation level for discrete batch manufacturing is presented. The model describes how the costs of parts varies between manufacturing systems of different types at differing automation levels, the part costs often being highly dependent upon the automation level selected. The optimal automation level in a given case can be determined using a relative help variable, one expressing the ratio of the equipment costs to the sum of the salary and the equipment costs per hour. A case study is used for exemplifying use of the model, indicating what broad application it can have.}},
  author       = {{Windmark, Christina and Gabrielson, Per and Andersson, Carin and Ståhl, Jan-Eric}},
  booktitle    = {{45th CIRP Conference on Manufacturing Systems 2012}},
  isbn         = {{9781627485128}},
  issn         = {{2212-8271}},
  language     = {{eng}},
  pages        = {{73--78}},
  publisher    = {{Elsevier}},
  series       = {{Procedia CIRP}},
  title        = {{A cost model for determining an optimal automation level in discrete batch manufacturing}},
  url          = {{http://dx.doi.org/10.1016/j.procir.2012.07.014}},
  doi          = {{10.1016/j.procir.2012.07.014}},
  volume       = {{3}},
  year         = {{2012}},
}