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

Christina Windmark; Per Gabrielson; Carin Andersson; Jan-Eric Ståhl

doi:10.1016/j.procir.2012.07.014

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

Christina Windmark, Per Gabrielson, Carin Andersson, Jan-Eric Ståhl

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	45th CIRP Conference on Manufacturing Systems 2012
Publisher	Elsevier
Pages	73-78
ISBN (Print)	9781627485128
DOIs	https://doi.org/10.1016/j.procir.2012.07.014
Publication status	Published - 2012
Event	45th CIRP Conference on Manufacturing Systems 2012 - Athens , Greece Duration: 2012 May 16 → 2012 May 18

Publication series

Name	Procedia CIRP
Publisher	Elsevier
Volume	3
ISSN (Print)	2212-8271

Conference

Conference	45th CIRP Conference on Manufacturing Systems 2012
Country/Territory	Greece
City	Athens
Period	2012/05/16 → 2012/05/18

Subject classification (UKÄ)

Materials Engineering

Access to Document

10.1016/j.procir.2012.07.014Licence: CC BY-NC-ND

Cite this

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title = "A cost model for determining an optimal automation level in discrete batch manufacturing",

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.",

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doi = "10.1016/j.procir.2012.07.014",

language = "English",

isbn = "9781627485128",

series = "Procedia CIRP",

publisher = "Elsevier",

pages = "73--78",

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note = "45th CIRP Conference on Manufacturing Systems 2012 ; Conference date: 16-05-2012 Through 18-05-2012",

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Windmark, C, Gabrielson, P, Andersson, C & Ståhl, J-E 2012, A cost model for determining an optimal automation level in discrete batch manufacturing. in 45th CIRP Conference on Manufacturing Systems 2012. Procedia CIRP, vol. 3, Elsevier, pp. 73-78, 45th CIRP Conference on Manufacturing Systems 2012, Athens , Greece, 2012/05/16. https://doi.org/10.1016/j.procir.2012.07.014

TY - GEN

T1 - A cost model for determining an optimal automation level in discrete batch manufacturing

AU - Windmark, Christina

AU - Gabrielson, Per

AU - Andersson, Carin

AU - Ståhl, Jan-Eric

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84879194082

U2 - 10.1016/j.procir.2012.07.014

DO - 10.1016/j.procir.2012.07.014

M3 - Paper in conference proceeding

SN - 9781627485128

T3 - Procedia CIRP

SP - 73

EP - 78

BT - 45th CIRP Conference on Manufacturing Systems 2012

PB - Elsevier

T2 - 45th CIRP Conference on Manufacturing Systems 2012

Y2 - 16 May 2012 through 18 May 2012

ER -

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

Abstract

Publication series

Conference

Subject classification (UKÄ)

Access to Document

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Performance-based costing as decision support for development of discrete part production: Linking performance, production costs and sustainability

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