TY  - CHAP
A1  - Grum, Marcus
A1  - Klippert, Monika
A1  - Albers, Albert
A1  - Gronau, Norbert
A1  - Thim, Christof
T1  - Examining the quality of knowledge transfers
BT  - the draft of an empirical research
T2  - Proceedings of the Design Society
N2  - Already successfully used products or designs, past projects or our own experiences can be the basis for the development of new products. As reference products or existing knowledge, it is reused in the development process and across generations of products. Since further, products are developed in cooperation, the development of new product generations is characterized by knowledge-intensive processes in which information and knowledge are exchanged between different kinds of knowledge carriers. The particular knowledge transfer here describes the identification of knowledge, its transmission from the knowledge carrier to the knowledge receiver, and its application by the knowledge receiver, which includes embodied knowledge of physical products. Initial empirical findings of the quantitative effects regarding the speed of knowledge transfers already have been examined. However, the factors influencing the quality of knowledge transfer to increase the efficiency and effectiveness of knowledge transfer in product development have not yet been examined empirically. Therefore, this paper prepares an experimental setting for the empirical investigation of the quality of knowledge transfers.
KW  - knowledge management
KW  - new product development
KW  - evaluation
Y1  - 2021
U6  - https://doi.org/10.1017/pds.2021.404
SN  - 2732-527X
VL  - 1
SP  - 1431
EP  - 1440
PB  - Cambridge University Press
CY  - Cambridge
ER  - 
TY  - GEN
A1  - Bender, Benedict
A1  - Grum, Marcus
A1  - Gronau, Norbert
A1  - Alfa, Attahiru
A1  - Maharaj, B. T.
T1  - Design of a worldwide simulation system for distributed cyber-physical production networks
T2  - 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
N2  - Modern production infrastructures of globally operating companies usually consist of multiple distributed production sites. While the organization of individual sites consisting of Industry 4.0 components itself is demanding, new questions regarding the organization and allocation of resources emerge considering the total production network. In an attempt to face the challenge of efficient distribution and processing both within and across sites, we aim to provide a hybrid simulation approach as a first step towards optimization. Using hybrid simulation allows us to include real and simulated concepts and thereby benchmark different approaches with reasonable effort. A simulation concept is conceptualized and demonstrated qualitatively using a global multi-site example.
KW  - production networks
KW  - geographical distribution
KW  - task realization strategies
KW  - Industry 4.0
KW  - simulation
KW  - evaluation
Y1  - 2019
SN  - 978-1-7281-3401-7
SN  - 978-1-7281-3402-4
U6  - https://doi.org/10.1109/ICE.2019.8792609
SN  - 2334-315X
PB  - IEEE
CY  - New York
ER  -