Identification and ranking of similar parts in agile manufacturing

Shekhar Iyer, Rakesh Nagi

Research output: Contribution to conferencePaperpeer-review


This paper addresses the problem of identifying existing parts that are similar, in one or many characteristics, to a new part at the design stage. The environment is an agile enterprise where manufacturing partners share product related data to come-up with new, customized, high quality products at minimal lead-times. The proposed method is based on the principles of Group Technology (GT), and on the definition of the neighborhood of similarity of critical design attributes. A two-step procedure is proposed: (1) A search procedure, which acquires and processes the designer's search intent to retrieve similar parts. (2) A sorting procedure, which ranks these parts in order of their similarity to the candidate part. Both procedures are based on GT codes, while the second can employ more detailed critical design information. This information is assumed available in the product databases of distributed partners, and can be generated via an existing GT design processor. The approach employs a systematic procedure to combine independent similarity indexes to a unique measure for sorting. A software system using object oriented technology has been developed to implement the procedure.

Original languageEnglish (US)
Number of pages9
StatePublished - 1995
Externally publishedYes
EventProceedings of the 1995 4th Industrial Engineering Research Conference - Nashville, TN, USA
Duration: May 24 1995May 25 1995


OtherProceedings of the 1995 4th Industrial Engineering Research Conference
CityNashville, TN, USA

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering


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