Research on Automobile Panel Case Retrieval Methodology

2009 ◽  
Vol 16-19 ◽  
pp. 1318-1323
Author(s):  
Xian Liang Zong ◽  
Ping Wang ◽  
Hui Zheng
Keyword(s):  
Process Planning ◽  
Case Based Reasoning ◽  
Retrieval Method ◽  
Stamping Process ◽  
Automobile Panel ◽  
Automotive Panel ◽  
Stamping Process Planning ◽  
Reasoning Technique ◽  
Case Based

CBR (Case-based reasoning) technique is increasingly applied in the process planning and dies intelligent design for stamping parts. In these applications, stamping parts information acts as the problem domain of cases model, while stamping process and die information as the answer domain. The similarity computation and retrieval of stamping parts are essential to the case-based design of stamping process planning and dies. In this paper, that issue is studied targeting automotive panel as the research object, and a retrieval method for similar panel parts based on the automobile panel coding is proposed. The coding structure is designed considering the automobile panel's features, especially the geometry shape features and their relationship. And the corresponding similarity calculation method is put forward. Finally, a case study is used to reveal the effectiveness of this methodology.

Web Development Effort Estimation

2011 ◽  
pp. 26-56 ◽  
Author(s):  
Emilia Mendes ◽  
Silvia Abrahão
Keyword(s):  
Multivariate Regression ◽  
Project Managers ◽  
Case Based Reasoning ◽  
Development Effort ◽  
Web Development ◽  
Effort Estimation ◽  
Estimation Techniques ◽  
Classification And Regression ◽  
Case Based

Effort models and effort estimates help project managers allocate resources, control costs and schedule, and improve current practices, leading to projects that are finished on time and within budget. In the context of Web development and maintenance, these issues are also crucial, and very challenging, given that Web projects have short schedules and a highly fluidic scope. Therefore, the objective of this chapter is to introduce the concepts related to Web effort estimation and effort estimation techniques. In addition, this chapter also details and compares, by means of a case study, three effort estimation techniques, chosen for this chapter because they have been to date the ones mostly used for Web effort estimation: Multivariate regression, Case-based reasoning, and Classification and Regression Trees. The case study uses data on industrial Web projects from Spanish Web companies.

Improved similarity measure in case-based reasoning: a case study of construction cost estimation

2019 ◽  
Vol 27 (2) ◽  
pp. 561-578 ◽  
Author(s):  
Won-Gil Hyung ◽  
Sangyong Kim ◽  
Jung-Kyu Jo
Keyword(s):  
Cost Estimation ◽  
Hybrid Approach ◽  
Optimal Solution ◽  
Case Based Reasoning ◽  
Optimization Approach ◽  
Cost Information ◽  
Planning Stage ◽  
Content Type ◽  
Case Based

Purpose Applied a hybrid approach using genetic algorithms (GAs) for a case-based retrieval process in order to increase the overall improved cost accuracy for a case-based library. The paper aims to discuss this issue. Design/methodology/approach A weight optimization approach using case-based reasoning (CBR) with proposed GAs for developing the CBR model. GAs are used to investigate optimized weight generation with an application to real project cases. Findings The proposed CBR model can reduce errors consistently, and be potentially useful in the early financial planning stage. The authors suggest the developed CBR model can provide decision-makers with accurate cost information for assessing and comparing multiple alternatives in order to obtain the optimal solution while controlling cost. Originality/value The system can operate with more accuracy or less cost, and CBR can be used to better understand the effects of factor interaction and variation during the developed system’s process.

Web Effort Estimation Using Case-Based Reasoning

2008 ◽  
pp. 158-202
Author(s):  
Emilia Mendes
Keyword(s):  
Prediction Accuracy ◽  
Early Stage ◽  
Real Data ◽  
Project Managers ◽  
Case Based Reasoning ◽  
Effort Estimation ◽  
Software Projects ◽  
Software Practitioners ◽  
Case Based

Software practitioners recognise the importance of realistic effort estimates to the successful management of software projects, the Web being no exception. Having realistic estimates at an early stage in a project’s life cycle allow project managers and development organisations to manage resources effectively. Several techniques have been proposed to date to help organisations estimate effort for new projects. One of these is a machine-learning technique called case-based reasoning. This chapter presents a case study that details step by step, using real data from completed industrial Web projects, how to obtain effort estimates using case-based reasoning, and how to assess the prediction accuracy of this technique. The reason to describe the use of case-based reasoning for effort estimation is motivated by its previous use with promising results in Web effort estimation studies.

On a Case-Based Reasoning Technique Based on Similarity Methods and its Use in Engineering Design

1997 ◽  
Author(s):  
Stephan Rudolph
Keyword(s):  
Engineering Design ◽  
Similarity Measures ◽  
Case Based Reasoning ◽  
Incomplete Knowledge ◽  
Future Design ◽  
Dimensionless Groups ◽  
Pi Theorem ◽  
Open Question ◽  
Reasoning Technique ◽  
Case Based

Abstract In the field of case-based reasoning (CBR), the derivation of so-called ‘similarity measures’ is an unresolved open question. In this work dimensional analysis is used to derive appropriate similarity conditions for a CBR technique. For the subclass of all case descriptions consisting of real-valued quantities with physical units, it is shown how the Pi-Theorem can be used to construct similarity conditions from these case descriptions. Within this approach a proof for the correctness of the CBR technique can be derived. The properties of the CBR technique using dimensionless groups indicate that it bears some potential in engineering design, where knowledge in the form of analytical equations is not always available. Often only pointwise and/or incomplete knowledge about the future design object in the form of previous designs, prototypes or simulation results is available and appears in certain cases to be sufficient for the new CBR technique.

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