Details
Original language | English |
---|---|
Title of host publication | Design Methodology for Future Products |
Subtitle of host publication | Data Driven, Agile and Flexible |
Publisher | Springer International Publishing AG |
Pages | 47-64 |
Number of pages | 18 |
ISBN (electronic) | 9783030783686 |
ISBN (print) | 9783030783679 |
Publication status | Published - 14 Dec 2021 |
Abstract
Hallmarks of modern technical products or systems are an accelerated time-to-market by clear modification cycles, the processing of large amounts of data, an increased flexibility as well as a quick reaction to changes in market situations. The monitoring of technical products is state of the art nowadays. Due to new communication possibilities that have emerged, a multitude of data exist that can be transferred into information and knowledge about products through their life cycle. The developing communication possibilities facilitate new innovative approaches for the application of product life cycle data. New methods of data management and data processing are required for cross-generational process analysis as are software and hardware tools. Furthermore, new methodologies for developing technical products are demanded. This chapter describes the Paradigm of Technical Inheritance, which is based on the idea of developing and modifying a new generation of products or services taking into account the information gathered from the life cycles of the previous generations. The basic principles of this approach are outlined, a process model including data collection, monitoring and analysis methods is presented, and application examples for both a generation-oriented development of a single component and for a complex technical system are given.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Economics, Econometrics and Finance(all)
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Design Methodology for Future Products: Data Driven, Agile and Flexible. Springer International Publishing AG, 2021. p. 47-64.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Technical Inheritance as an Approach to Data-Driven Product Development
AU - Lachmayer, Roland
AU - Mozgova, Iryna
PY - 2021/12/14
Y1 - 2021/12/14
N2 - Hallmarks of modern technical products or systems are an accelerated time-to-market by clear modification cycles, the processing of large amounts of data, an increased flexibility as well as a quick reaction to changes in market situations. The monitoring of technical products is state of the art nowadays. Due to new communication possibilities that have emerged, a multitude of data exist that can be transferred into information and knowledge about products through their life cycle. The developing communication possibilities facilitate new innovative approaches for the application of product life cycle data. New methods of data management and data processing are required for cross-generational process analysis as are software and hardware tools. Furthermore, new methodologies for developing technical products are demanded. This chapter describes the Paradigm of Technical Inheritance, which is based on the idea of developing and modifying a new generation of products or services taking into account the information gathered from the life cycles of the previous generations. The basic principles of this approach are outlined, a process model including data collection, monitoring and analysis methods is presented, and application examples for both a generation-oriented development of a single component and for a complex technical system are given.
AB - Hallmarks of modern technical products or systems are an accelerated time-to-market by clear modification cycles, the processing of large amounts of data, an increased flexibility as well as a quick reaction to changes in market situations. The monitoring of technical products is state of the art nowadays. Due to new communication possibilities that have emerged, a multitude of data exist that can be transferred into information and knowledge about products through their life cycle. The developing communication possibilities facilitate new innovative approaches for the application of product life cycle data. New methods of data management and data processing are required for cross-generational process analysis as are software and hardware tools. Furthermore, new methodologies for developing technical products are demanded. This chapter describes the Paradigm of Technical Inheritance, which is based on the idea of developing and modifying a new generation of products or services taking into account the information gathered from the life cycles of the previous generations. The basic principles of this approach are outlined, a process model including data collection, monitoring and analysis methods is presented, and application examples for both a generation-oriented development of a single component and for a complex technical system are given.
UR - http://www.scopus.com/inward/record.url?scp=85153636340&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78368-6_3
DO - 10.1007/978-3-030-78368-6_3
M3 - Contribution to book/anthology
AN - SCOPUS:85153636340
SN - 9783030783679
SP - 47
EP - 64
BT - Design Methodology for Future Products
PB - Springer International Publishing AG
ER -