汽车工业
升级
背景(考古学)
个性化
计算机科学
商业模式
服务(商务)
系统工程
风险分析(工程)
工程类
业务
万维网
航空航天工程
古生物学
营销
操作系统
生物
作者
Marc Schindewolf,Jan Willem Wittler,Thomas Kühn,Daniel Grimm,Eric Sax
标识
DOI:10.1109/sose58276.2023.00009
摘要
The automotive industry faces challenges due to the increasing demand for customization and individualization by consumers. With a wide range of equipment levels and feature options, it has become impossible to test all possible configurations for a single vehicle during development and especially for vehicles already in service. As a basis for solving these challenges, integrated approaches for the development of upgradeable vehicles are required. In this context, future upgrade options should be considered and planned already in the design stage to enable sustainable business models for next vehicle generations. This paper proposes a refined variability model that combines two existing approaches to address the challenges faced by the industry. The same model can perform buildability or upgradeability checks and dynamic allocation optimization. The model is evaluated qualitatively by three exemplary use cases.
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