Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 68-72 |
| Seitenumfang | 5 |
| Fachzeitschrift | Procedia CIRP |
| Jahrgang | 48 |
| Publikationsstatus | Veröffentlicht - 27 Juli 2016 |
| Veranstaltung | 23rd CIRP Conference on Life Cycle Engineering, LCE 2016 - Berlin, Deutschland Dauer: 22 Mai 2016 → 24 Mai 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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: Procedia CIRP, Jahrgang 48, 27.07.2016, S. 68-72.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › 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 -