A cost model for determining an optimal automation level in discrete batch manufacturing
(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:
https://lup.lub.lu.se/record/3403986
- author
- Windmark, Christina LU ; Gabrielson, Per LU ; Andersson, Carin LU and Ståhl, Jan-Eric LU
- organization
- publishing date
- 2012
- 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
- 2024-06-01 19:14:12
@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}}, }