Is it possible to control and optimize technology transfer process?

1. Person: De Falco, Stefano
Format: Online-Artikel
Sprache: English
Veröffentlicht: Springer 2012
Schlagworte: Technologietransfer
Performance-Messung
Kostenanalyse
Theorie
Technology transfer
Performance measurement
Cost analysis
Theory
Online Zugang: https://www.econstor.eu/bitstream/10419/78607/1/723736677.pdf
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id
oai_econstor.eu_10419-78607
recordtype
econstor
institution
MPG
collection
ECONSTOR
title
Is it possible to control and optimize technology transfer process?
spellingShingle
Is it possible to control and optimize technology transfer process?
Technologietransfer
Performance-Messung
Kostenanalyse
Theorie
Technology transfer
Performance measurement
Cost analysis
Theory
De Falco, Stefano
title_short
Is it possible to control and optimize technology transfer process?
title_full
Is it possible to control and optimize technology transfer process?
title_fullStr
Is it possible to control and optimize technology transfer process?
title_full_unstemmed
Is it possible to control and optimize technology transfer process?
title_sort
Is it possible to control and optimize technology transfer process?
format
electronic Article
format_phy_str_mv
Article
publisher
Springer
publishDate
2012
language
English
topic
Technologietransfer
Performance-Messung
Kostenanalyse
Theorie
Technology transfer
Performance measurement
Cost analysis
Theory
topic_facet
Technology transfer
Performance measurement
Cost analysis
Theory
author
De Falco, Stefano
description
Is it possible to control and optimize technology transfer process? Engineers and quality practitioners are often faced with the problem of determining the optimal choice of key factor in the tolerance process evaluation regarding the quality of the process to be monitored. To guarantee a prefixed quality level of the monitored process, lower specification limit (LSL) and upper specification limit (USL) for a certain quality characteristic have been determined. These limits, LSL and USL, could be defined as æ - ds and æ + ds, respectively, where d > 0. Here, the key factor d represents the number of standard deviations at which each specification limit is located from the process mean. This paper shows an innovative use of SPC tools in a different field aspect, one in which they are usually employed. Generally, these instruments are used for the control of the industrial process or service, but they could be used in an innovative way to control and to optimize a particular process: the technology transfer process. When determining the key factor level, it is important to consider a trade-off between costs incurred by the supplier, in terms of technology offer, and the user, in terms of technology request, of the process examined. This paper shows how these costs are quantified and integrated; it also shows how a particular mathematical tool, the Lambert W function, is incorporated into this choice optimization problem by deriving a closed-form solution. This proposed model and solution may be appealing to managers and technology transfer operators since the Lambert function is found in a number of standard optimization software. Experimental results are presented and related to a real data set of technology transfer actions developed by the Technology Transfer Office.
url
https://www.econstor.eu/bitstream/10419/78607/1/723736677.pdf
journal
Journal of Innovation and Entrepreneurship
journalStr
Journal of Innovation and Entrepreneurship
Journal of Innovation and Entrepreneurship
issn
2192-5372
up_date
2019-09-23T02:54:22.661Z
_version_
1645433080222056449

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