Details
| Original language | English |
|---|---|
| Pages (from-to) | 68-72 |
| Number of pages | 5 |
| Journal | Procedia CIRP |
| Volume | 48 |
| Publication status | Published - 27 Jul 2016 |
| Event | 23rd CIRP Conference on Life Cycle Engineering, LCE 2016 - Berlin, Germany Duration: 22 May 2016 → 24 May 2016 |
Abstract
Cost prediction is commonly used when making decisions during the product development process. Oil and gas service companies must consider all life cycle costs for their business models. In addition to capital and operational expenditures, consideration of product utilization is essential. The cost of product failures, maintenance and repairs greatly impact the overall cost model. This paper describes an approach for simulating service availability and corresponding necessary fleet sizes based on existing life cycle cost models. A detailed case study presents the model viability and highlights key leverage points for cost reductions.
Keywords
- Cost, Fleet size, Life Cycle, Service availability, Simulation
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Procedia CIRP, Vol. 48, 27.07.2016, p. 68-72.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Life Cycle Cost Model for Considering Fleet Utilization in Early Conceptual Design Phases
AU - Johannknecht, Florian
AU - Gatzen, Matthias M.
AU - Lachmayer, Roland
PY - 2016/7/27
Y1 - 2016/7/27
N2 - Cost prediction is commonly used when making decisions during the product development process. Oil and gas service companies must consider all life cycle costs for their business models. In addition to capital and operational expenditures, consideration of product utilization is essential. The cost of product failures, maintenance and repairs greatly impact the overall cost model. This paper describes an approach for simulating service availability and corresponding necessary fleet sizes based on existing life cycle cost models. A detailed case study presents the model viability and highlights key leverage points for cost reductions.
AB - Cost prediction is commonly used when making decisions during the product development process. Oil and gas service companies must consider all life cycle costs for their business models. In addition to capital and operational expenditures, consideration of product utilization is essential. The cost of product failures, maintenance and repairs greatly impact the overall cost model. This paper describes an approach for simulating service availability and corresponding necessary fleet sizes based on existing life cycle cost models. A detailed case study presents the model viability and highlights key leverage points for cost reductions.
KW - Cost
KW - Fleet size
KW - Life Cycle
KW - Service availability
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=84986004200&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2016.03.112
DO - 10.1016/j.procir.2016.03.112
M3 - Conference article
AN - SCOPUS:84986004200
VL - 48
SP - 68
EP - 72
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 23rd CIRP Conference on Life Cycle Engineering, LCE 2016
Y2 - 22 May 2016 through 24 May 2016
ER -