MANAGING EVOLUTION FROM MECHATRONICS TO INTELLIGENT TECHNICAL SYSTEMS

2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Arno Kühn ◽  
Roman Dumitrescu ◽  
Jürgen Gausemeier

Technological change from mechanics to intelligent technical systems leads to a fast evolution of products. This evolution is characterized by manifold product generations and product versions, each of them comprising a bunch of new product features and technical changes. To cope with these changes, companies need to systematically manage product evolution in terms of concerted innovation and adaptation steps. Based on this need, this paper outlines a framework for managing evolution of intelligent technical systems. The need for evolving technical systems is detailed and the main fields of action in managing evolution of intelligent technical systems are introduced. The paper concludes by deriving release planning as a suitable approach and an important discipline for future development of intelligent technical systems.

Author(s):  
Tarık Şahin ◽  
David Inkermann ◽  
Thomas Vietor

Abstract Product development is experiencing a paradigm shift under the impact of highly segmented and rapidly evolving markets. The intention to offer successful products in such turbulent conditions forces companies to provide value comprehensively but rapidly. These attempts conceal a high risk of rising product complexities and development efforts. For this reason, the aim of design should be to maintain or improve value contribution according to customer and market demands with fast response time while reducing internal product disruption and development efforts. A proactive planning of continuous value contribution by introducing new product features, while considering the complexity of product structures and corresponding development efforts, is established in the field of release planning. Here, systematic ways are proposed to support the identification and timing of product features to provide value for customers and markets as well as the consideration and planning of according efforts for their realization. However, the literature highlights a need for more consistent value orientation in release planning. For this reason, this contribution aims to present an outline and further steps for consistent value orientation in release planning in the context of systems engineering. Accordingly, this contribution first discusses the significance of consistent value orientation during release planning activities. On this basis, requirements for consistent value orientation in release planning are presented and the respective current state of existing concepts are discussed. Ultimately, a framework towards consistent value orientation in release planning is presented with a concluding outlook for further research.


2016 ◽  
Vol 75 ◽  
pp. 80-100 ◽  
Author(s):  
Daniele Bacciotti ◽  
Yuri Borgianni ◽  
Federico Rotini

2001 ◽  
Vol 18 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Jurg M. Tholkea ◽  
Erik Jan Hultinkaa* ◽  
Henry S. J. Robbenbb

Modern Italy ◽  
2001 ◽  
Vol 6 (2) ◽  
pp. 141-151
Author(s):  
Fausto Colombo

SummaryThe spread of mobile telephones in Italy is examined as a typical technological phenomenon and is contextualized in the theoretical literature on technological change. A brief introduction is followed by a historical account of the growth of mobile telephony and then by an examination of its current spread and likely future development. After this, two interpretative models are put forward which, it is suggested, may be used both in this particular case and for any form of technologically mediated communication (TMC): the butterfly paradigm (applied to the spread of a technology), and the circuit synergy paradigm (applied to the relative importance of individual factors in the process of diffusion).


2019 ◽  
Vol 27 (3) ◽  
pp. 213-232 ◽  
Author(s):  
Zhicong Kou

An effective data mining method to automatically extract association rules between manufacturing capabilities and product features from the available historical data is essential for efficient and cost-effective product development and production. This article proposes a chaotic gravitational search algorithm–based association rule mining method for discovering the hidden relationship between manufacturing system capabilities and product features. The extracted rules would be utilized to predict capability requirements of various machines for the new product with different features. We use two strategies to incorporate chaos into gravitational search algorithm: one strategy is to embed chaotic map functions into the gravitational constant of gravitational search algorithm; the other is to use sequences generated by chaotic maps to substitute random numbers for different parameters of gravitational search algorithm. In order to improve the applicability of chaotic gravitational search algorithm–based association rule mining, a novel overlapping measure indication is further proposed to eliminate those unuseful rules. The proposed method is relatively simple and easy to implement. The rules generated by chaotic gravitational search algorithm–based association rule mining are accurate, interesting, and comprehensible to the user. The performance comparison indicates that chaotic gravitational search algorithm–based association rule mining outperforms other regular methods (e.g. Apriori) for association rule mining. The experimental results illustrate that chaotic gravitational search algorithm–based association rule mining is capable of discovering important association rules between manufacturing system capabilities and product features. This will help support planners and engineers for the new product design and manufacturing.


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