Effect of technology multiplier: A framework for analysis of innovation perspectives on production segment allocation

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Effect of technology multiplier: A framework for analysis of innovation perspectives on production segment allocation. / Stamer, Florian; Girke, Roman; Yang, Shun et al.
In: CIRP Journal of Manufacturing Science and Technology, Vol. 55, 12.2024, p. 272-291.

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@article{190d1499d80d44018dd1c3b9ea7be6e9,
title = "Effect of technology multiplier: A framework for analysis of innovation perspectives on production segment allocation",
abstract = "In the realm of production systems, determining the optimal segment allocation remains a central concern. While several existing models address this issue, a significant gap remains as many overlook the critical role of innovation and lack a holistic perspective. This paper presents a model that emphasizes innovation capabilities and introduces the concept of a “Technology Multiplier” underscoring the compounding influence of technology and innovation on production segment allocation decisions. Within this work, we focus on preliminary studies to establish the “Technology Multiplier” concept employing an Analytical Hierarchy Process (AHP) with sensitivity analysis. The validity of our approach is demonstrated through four case studies from three industries, illustrating the relevance of our elaborated metrics for the concept of “Technology Multipliers”. In particular, a leading automotive company uses our findings to reach a more appropriate strategic decision aligned with innovation and production growth, compared to its previous decisions. These results not only demonstrate a robust fit with our proposed metrics but also indicate that our framework lays the foundation for further research on the “Technology Multiplier”, enriching the decision-making process for production segment allocation.",
keywords = "Distributed manufacturing, Integration, Manufacturing network, Production planning, Engineering",
author = "Florian Stamer and Roman Girke and Shun Yang and Chun, {Jung Hoon} and Gisela Lanza",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors",
year = "2024",
month = dec,
doi = "10.1016/j.cirpj.2024.10.002",
language = "English",
volume = "55",
pages = "272--291",
journal = "CIRP Journal of Manufacturing Science and Technology",
issn = "1755-5817",
publisher = "Elsevier B.V.",

}

RIS

TY - JOUR

T1 - Effect of technology multiplier

T2 - A framework for analysis of innovation perspectives on production segment allocation

AU - Stamer, Florian

AU - Girke, Roman

AU - Yang, Shun

AU - Chun, Jung Hoon

AU - Lanza, Gisela

N1 - Publisher Copyright: © 2024 The Authors

PY - 2024/12

Y1 - 2024/12

N2 - In the realm of production systems, determining the optimal segment allocation remains a central concern. While several existing models address this issue, a significant gap remains as many overlook the critical role of innovation and lack a holistic perspective. This paper presents a model that emphasizes innovation capabilities and introduces the concept of a “Technology Multiplier” underscoring the compounding influence of technology and innovation on production segment allocation decisions. Within this work, we focus on preliminary studies to establish the “Technology Multiplier” concept employing an Analytical Hierarchy Process (AHP) with sensitivity analysis. The validity of our approach is demonstrated through four case studies from three industries, illustrating the relevance of our elaborated metrics for the concept of “Technology Multipliers”. In particular, a leading automotive company uses our findings to reach a more appropriate strategic decision aligned with innovation and production growth, compared to its previous decisions. These results not only demonstrate a robust fit with our proposed metrics but also indicate that our framework lays the foundation for further research on the “Technology Multiplier”, enriching the decision-making process for production segment allocation.

AB - In the realm of production systems, determining the optimal segment allocation remains a central concern. While several existing models address this issue, a significant gap remains as many overlook the critical role of innovation and lack a holistic perspective. This paper presents a model that emphasizes innovation capabilities and introduces the concept of a “Technology Multiplier” underscoring the compounding influence of technology and innovation on production segment allocation decisions. Within this work, we focus on preliminary studies to establish the “Technology Multiplier” concept employing an Analytical Hierarchy Process (AHP) with sensitivity analysis. The validity of our approach is demonstrated through four case studies from three industries, illustrating the relevance of our elaborated metrics for the concept of “Technology Multipliers”. In particular, a leading automotive company uses our findings to reach a more appropriate strategic decision aligned with innovation and production growth, compared to its previous decisions. These results not only demonstrate a robust fit with our proposed metrics but also indicate that our framework lays the foundation for further research on the “Technology Multiplier”, enriching the decision-making process for production segment allocation.

KW - Distributed manufacturing

KW - Integration

KW - Manufacturing network

KW - Production planning

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85206911985&partnerID=8YFLogxK

U2 - 10.1016/j.cirpj.2024.10.002

DO - 10.1016/j.cirpj.2024.10.002

M3 - Journal articles

AN - SCOPUS:85206911985

VL - 55

SP - 272

EP - 291

JO - CIRP Journal of Manufacturing Science and Technology

JF - CIRP Journal of Manufacturing Science and Technology

SN - 1755-5817

ER -