A Profit-Maximizing Method for the Partitioning of Embedded Software Features in Motor Vehicles
Type
conference paper
Date Issued
2009-08-06
Author(s)
Baecker, Oliver
Weppner, Harald
Strube, Jochen
Abstract
As the system design of in-car embedded systems becomes more and more modular and motor vehicles get increasingly connected to enterprise systems based on Car-2-X technology, the integration of additional embedded software features becomes technically feasible throughout the product lifecycle. For car manufacturers, this opens up the opportunity to sell additional embedded software features to their customers at a later time, thus generating subsequent revenue in addition to the initial sale. However, due to the competitive environment and customer preferences, it is impossible to apply this concept to the complete feature set. In order to support the decision, which features should be included in a shipped product and which features should be retained to generate subsequent revenue, we propose a profit-maximizing method that identifies two complementary feature bundles. To illustrate our approach, we present a numerical example, which illustrates the partitioning
of embedded software features in motor vehicles
of embedded software features in motor vehicles
Funding(s)
Language
English
Keywords
Embedded systems
C2X
feature partitioning
combinatorial optimization
knapsack problem
HSG Classification
contribution to scientific community
Refereed
Yes
Book title
Proceedings of the Fifteenth Americas Conference on Information Systems (AMCIS 2009)
Publisher
Association for Information Systems
Publisher place
AIS Electronic Library (AISeL)
Start page
1
End page
8
Pages
8
Event Title
15th Americas Conference On Information Systems (AMCIS 2009)
Event Location
San Francisco, CA
Event Date
06.-09.08.2009
Official URL
Subject(s)
Division(s)
Eprints ID
53240
File(s)
Loading...
open.access
Name
A Profit-Maximizing Method for the Partitioning of Embedded Software Features in Motor Vehicles.pdf
Size
74.19 KB
Format
Adobe PDF
Checksum (MD5)
ff9a289fd91b024954bf8a58693bba96