A case-based reasoning approach to cost estimation of new product development

2018 ◽  
Vol 272 ◽  
pp. 40-45 ◽  
Author(s):  
Marcin Relich ◽  
Pawel Pawlewski
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Cost Estimation ◽  
New Product ◽  
Case Based Reasoning ◽  
Case Based

The application of case based reasoning to decision support in new product development

2003 ◽  
Vol 14 (1) ◽  
pp. 36-45 ◽  
Author(s):  
R. Belecheanu ◽  
K.S. Pawar ◽  
R.J. Barson ◽  
B. Bredehorst ◽  
F. Weber
Keyword(s):  
Decision Support ◽  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Case Based Reasoning ◽  
Case Based

scholarly journals A CBR-Based and MAHP-Based Customer Value Prediction Model for New Product Development

2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Yu-Jie Zhao ◽  
Xin-xing Luo ◽  
Li Deng
Keyword(s):  
Product Development ◽  
Prediction Model ◽  
New Product Development ◽  
Customer Value ◽  
Transition Probability ◽  
New Product ◽  
Case Based Reasoning ◽  
Analytic Hierarchy ◽  
Value Prediction ◽  
Customer Needs

In the fierce market environment, the enterprise which wants to meet customer needs and boost its market profit and share must focus on the new product development. To overcome the limitations of previous research, Chan et al. proposed a dynamic decision support system to predict the customer lifetime value (CLV) for new product development. However, to better meet the customer needs, there are still some deficiencies in their model, so this study proposes a CBR-based and MAHP-based customer value prediction model for a new product (C&M-CVPM). CBR (case based reasoning) can reduce experts’ workload and evaluation time, while MAHP (multiplicative analytic hierarchy process) can use actual but average influencing factor’s effectiveness in stimulation, and at same time C&M-CVPM uses dynamic customers’ transition probability which is more close to reality. This study not only introduces the realization of CBR and MAHP, but also elaborates C&M-CVPM’s three main modules. The application of the proposed model is illustrated and confirmed to be sensible and convincing through a stimulation experiment.

scholarly journals Computational Intelligence for Estimating Cost of New Product Development

2016 ◽  
Vol 8 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Marcin Relich
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Computational Intelligence ◽  
Cost Estimation ◽  
Constraint Satisfaction Problem ◽  
New Product ◽  
Neural System ◽  
Multiple Regression Model ◽  
Fuzzy Neural ◽  
Selection Of

AbstractThis paper is concerned with estimating cost of various new product development phases with the use of computational intelligence techniques such as neural networks and fuzzy neural system. Companies tend to develop many new products simultaneously and a limited project budget imposes the selection of the most promising new product development projects. The evaluation of new product projects requires cost estimation. The model of cost estimation contains product design, prototype manufacturing and testing, and it is specified in terms of a constraint satisfaction problem. The illustrative example presents comparative analysis of estimating product development cost using computational intelligence techniques and multiple regression model.

The Architecture for Solving the Cross-Domain Keywords During New Product Development

2012 ◽  
Vol 605-607 ◽  
pp. 497-500
Author(s):  
Yung Chung Tsao ◽  
Kevin Chihcheng Hsu ◽  
Yin Te Tsai
Keyword(s):  
Information Systems ◽  
Product Development ◽  
New Product Development ◽  
Domain Knowledge ◽  
Knowledge Workers ◽  
New Product ◽  
Product Lifecycle Management ◽  
Case Based Reasoning ◽  
Team Members ◽  
Cross Domain

The team-members for the new product development (NPD) are recruited from different departments in the enterprises. So the team-members in the design teams range from novices to experts in NPD. The juniors developer in the design project team lack more successful product-design experiences as their seniority and skills. Therefore, those developers always query and search their problems with the limited terminology via the information systems or websites. So the results of the querying and searching always are limited to the similar domain-knowledge. The new product development (NPD) involves multidisciplinary knowledge such as accumulated experiences of knowledge-workers, and different technical and legal documents. The information systems (IS) facilitating the NPD processes often include document-based knowledge management system (KMS), Product Data Management (PDM), Product Lifecycle Management (PLM) systems etc. With these different systems, novices at various stages of NPD processes often have problems to use the exact and suitable keywords to query the problems from those information systems. The study proposes a case-based reasoning to construct a hierarchical knowledge model to record knowledge-workers’ experiences and to store the information of experiences and the recommendation of experts. The aim of the study is that the proposed architecture can query the information scattered in different information systems by using their individual-domain terminology and retrieve the better fitted results of the querying.

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