Abstract | ||
---|---|---|
This paper presents the use of a multi-agent framework for evaluating parameters of new products and estimating cost of product design. Companies often develop many new product projects simultaneously. A limited budget of research and development imposes selection of the most promising projects. The evaluation of new product projects requires cost estimation and involves many agents that analyse the customer requirements and information acquired from an enterprise system, including the fields of sales and marketing, research and development, and manufacturing. The model of estimating product design cost is formulated in terms of a constraint satisfaction problem. The illustrative example presents the use of a fuzzy neural network to identify the relationships and estimate cost of product design. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1007/978-3-319-39387-2_7 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Multi-agent system,Fuzzy neural network,Constraint programming,New product development,Decision support system | Product engineering,Product cost management,Industrial engineering,Computer science,Constraint programming,Cost estimate,Constraint satisfaction problem,Product design specification,Product design,New product development | Conference |
Volume | ISSN | Citations |
616 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 18 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marcin Relich | 1 | 29 | 5.70 |
Pawel Pawlewski | 2 | 67 | 21.03 |