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Solidworks Enterprise PDM Application for Semi-Intelligent Part Numbering System using Group Technology

Shedge, Bipin T
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416231430

Abstract Details

2014, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
The objective of this thesis is to develop an application in Enterprise PDM for semi-intelligent part numbering schema using Group Technology, for customers of Dassault Systemes Solidworks Corp. Most of the PDM tools in the market do have a part numbering module, but EPDM does not have one. It is easier to have a sequential part numbering schema, but complexities creep into the system as soon as we decide to go for a significant or intelligent part numbering schema. Also, the huge amount of resources involved in designing an intelligent part numbering system is the major reason why most PDM tools don’t prefer to have a part numbering module in them. There is ample research on how sequential part numbering is the perfect approach for companies, but considering the fact that intelligence in part numbers is here to stay for a long time, it is imperative to think of an application that would cater to the needs of the companies, who would like to work with intelligent part numbers. Sequential and intelligent part numbers have their own disadvantages, but working on semi-intelligent part numbers, which give us the best of both worlds, would be the approach that many would prefer. Group Technology deals with item classification and coding techniques to streamline manufacturing processes. These classification and coding techniques in conjunction with semi-intelligent part numbers can turn out to be a novel solution to the problem of unique item identification. This approach should be acceptable to supporters of both sequential and intelligent part numbering. Use of Group Technology adds a different dimension to item identification and in the course of the study proves that this topic needs more research and development to be able to achieve maximum design and manufacturing efficiency in a company. Hopefully, the proposed semi-intelligent part numbering schema fulfills the need of the Dassault Systemes customers interested in this thesis. That would be the scale to measure the success of this project.
Anil Mital, Ph.D. P.E. (Committee Chair)
Raj Manglik, Ph.D. (Committee Member)
David Thompson, Ph.D. (Committee Member)
80 p.
Mechanics
semi-intelligent part numbering system; semi-significant part numbering system; Solidworks Enterprise PDM; part number; Enterprise PDM Application; Group Technology

Recommended Citations

Citations

  • Shedge, B. T. (2014). Solidworks Enterprise PDM Application for Semi-Intelligent Part Numbering System using Group Technology [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416231430

    APA Style (7th edition)

  • Shedge, Bipin. Solidworks Enterprise PDM Application for Semi-Intelligent Part Numbering System using Group Technology. 2014. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416231430.

    MLA Style (8th edition)

  • Shedge, Bipin. "Solidworks Enterprise PDM Application for Semi-Intelligent Part Numbering System using Group Technology." Master's thesis, University of Cincinnati, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416231430

    Chicago Manual of Style (17th edition)

ucin1416231430
3,785
© 2014, some rights reserved.Creative Commons License Solidworks Enterprise PDM Application for Semi-Intelligent Part Numbering System using Group Technology by Bipin T Shedge is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.