The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Decision Making and Support Tools for Design of Machining Systems
|
|
Author(s): A. Dolgui (Ecole Nationale Supérieure des Mines de Saint-Etienne, France), O. Guschinskaya (Ecole Nationale Supérieure des Mines de Saint-Etienne, France), N. Guschinsky (United Institute of Informatics Problems, Belarus)and G. Levin (United Institute of Informatics Problems, Belarus)
Copyright: 2008
Pages: 10
Source title:
Encyclopedia of Decision Making and Decision Support Technologies
Source Author(s)/Editor(s): Frederic Adam (University College Cork, Ireland)and Patrick Humphreys (London School of Economics, UK)
DOI: 10.4018/978-1-59904-843-7.ch018
Purchase
|
Abstract
The design of manufacturing systems is a wide open area for development and application of decision making and decision support technologies. This domain is characterized by the necessity to combine the standard decision making methods, sophisticated operational research techniques, and some specific rules based on expert knowledge to take into account principal technological constraints and criteria. A promising trend in this area deals with the development of integrated software tools (Brown, 2004; Grieves, 2005; Stark, 2005). Their main idea consists in integrating product and manufacturing data into a common database. This enables product designers to consider the manufacturing processes constraints at the early product design stage. At the same time, all data of product design should be used directly for optimizing the corresponding manufacturing system. That is why the core of these software tools is a powerful extendable database, supported by a user friendly software environment. This database normally contains digital models of product and processes. In order to find an optimal manufacturing system configuration, a set of advanced decision making and decision support methods are used for data processing.
Related Content
|
Yu Bin, Xiao Zeyu, Dai Yinglong.
© 2024.
34 pages.
|
|
Liyin Wang, Yuting Cheng, Xueqing Fan, Anna Wang, Hansen Zhao.
© 2024.
21 pages.
|
|
Tao Zhang, Zaifa Xue, Zesheng Huo.
© 2024.
32 pages.
|
|
Dharmesh Dhabliya, Vivek Veeraiah, Sukhvinder Singh Dari, Jambi Ratna Raja Kumar, Ritika Dhabliya, Sabyasachi Pramanik, Ankur Gupta.
© 2024.
22 pages.
|
|
Yi Xu.
© 2024.
37 pages.
|
|
Chunmao Jiang.
© 2024.
22 pages.
|
|
Hatice Kübra Özensel, Burak Efe.
© 2024.
23 pages.
|
|
|