Design and Development of Decision Support System for Ranking Rapid Prototyping Techniques and Selecting the Best Technique in Automobile Industry

Journal of Information Technology Management. 2013;5(2):1-22 DOI 10.22059/jitm.2013.36525

 

Journal Homepage

Journal Title: Journal of Information Technology Management

ISSN: 2008-5893 (Print); 2423-5059 (Online)

Publisher: University of Tehran

Society/Institution: Faculty of Management

LCC Subject Category: Bibliography. Library science. Information resources: Information resources (General)

Country of publisher: Iran, Islamic Republic of

Language of fulltext: Persian

Full-text formats available: PDF, HTML

 

AUTHORS

Taghavifard Taghavifard (Assistant Prof. of AllameTabatabaeiĀ“ University, Industrial Engineering, Tehran, Iran)
Pooti Pooti (M.Sc. in Information Technology Management, AllameTabatabaeiĀ“ University, Tehran, Iran)

EDITORIAL INFORMATION

Peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 15 weeks

 

Abstract | Full Text

The development of a number of different rapid prototyping (RP) technologies with wide-ranging capabilities, features and applications has created the problem of selecting an appropriate RP system for engineering educational institutions as well as manufacturing organizations intending to adopt this new technology. This paper presents an RP Decision Support System (RP DSS) for ranking and selecting a rapid prototyping technique. Three phases of the research, identification-design and development-implementation and test, were deployed RP DSS subsystems: data management, model management and user interface. Data management subsystem contains data for 51 different RP systems. Model management subsystem contains the scoring model approach MADM chosen as the analytic model in model base. TOPSIS is modified to treat decision data extended to fuzzy numbers. RP DSS was implemented in automobile industry. The part considered to test is Front Bumper Grille, one part of automobile with important duty of exchanging heat with environment, because of functional test. Based on data entry to RP DSS with expert user, EOSINT P700 was determined as best RP technique in this application.