The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Neural Network Models for the Estimation of Product Costs: An Application in the Automotive Industry
|
|
Author(s): Sergio Cavalieri (Universita degli Studi di Bergamo, Italy), Paolo Maccarrone (Politecnico di Milano, Italy)and Roberto Pinto (Universita degli Studi di Bergamo, Italy)
Copyright: 2006
Pages: 22
Source title:
Artificial Neural Networks in Finance and Manufacturing
Source Author(s)/Editor(s): Joarder Kamruzzaman (Monash University, Australia), Rezaul Begg (Victoria University, Australia)and Ruhul Sarker (University of New South Wales, Australia)
DOI: 10.4018/978-1-59140-670-9.ch012
Purchase
|
Abstract
The estimation of the production cost per unit of a product during its design phase can be extremely difficult, especially if information about previous similar products is missing. On the other hand, most of the costs that will be sustained during the production activity are implicitly determined mainly in the design phase, depending on the choice of characteristics and performance of the new product. Hence, the earlier the information about costs becomes available, the better the trade-off between costs and product performances can be managed. These considerations have led to the development of different design rules and techniques, such as Design to Cost, which
Related Content
|
Vinod Kumar, Himanshu Prajapati, Sasikala Ponnusamy.
© 2023.
18 pages.
|
|
Sougatamoy Biswas.
© 2023.
14 pages.
|
|
Ganga Devi S. V. S..
© 2023.
10 pages.
|
|
Gotam Singh Lalotra, Ashok Sharma, Barun Kumar Bhatti, Suresh Singh.
© 2023.
15 pages.
|
|
Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma.
© 2023.
16 pages.
|
|
R. Soujanya, Ravi Mohan Sharma, Manish Manish Maheshwari, Divya Prakash Shrivastava.
© 2023.
12 pages.
|
|
Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma.
© 2023.
22 pages.
|
|
|