Part Numbering System

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The lack of an enterprise part numbering system is a major deficiency in our company. The data from our Product Lifecycle Management (PLM) systems indicates that our engineers located in various geographical design locations design on an average 300 parts every day. An enterprise Part Numbering System (PNS) will greatly improve the management of the constantly changing portfolio of parts in our company. It will have a far reaching impact in every aspect of our operations including supply chain management, inventory management, part number duplication, design duplication effort, design management, change management and components reuse.
The main purpose of any PNS is assigning a unique number to each of the component we design and manufacture for a specific application. There are three different methods of Part Numbering Systems widely used in the industry.
1. Significant (or Intelligent) Part Numbers
2. Semi-Significant (or Semi-Intelligent) Part Numbers
3. Non-Significant (Random) Part Numbers.
In this report I analyze the merits and demerits of each of the method. The method we select cannot be changed easily in the future. Hence the method we choose will have long lasting impact on our company
Significant Part Numbers
Significant Part Numbers method is the earliest form of numbering system. In this method each character in the part number has a significance describing an aspect of the component such as product line, raw material, color, size etc. And an engineer can identify the details of the component from the part number. For example, the part number for our hydraulic spin on 12AT/50AT Series filters will be constructed shown in figure 1.

Figure 1
One of main advantage of significant part numbers is it provides all sign...

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Ballard, G. (2000). Positive VS negative iteration in design, In Proceedings of the international group for lean construction 8th annual conference (IGLC-8). Brighton, UK http://repository.binus.ac.id/2009-1/content/T0194/T019479288.pdf Arundacahawat, P., Roy, R., & Al-Ashaab, A. (n.d). An analogy based estimation framework for design rework efforts. Journal Of Intelligent Manufacturing, 24(3), 625-639. http://proxy.ulib.csuohio.edu:2050/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=edswsc&AN=000319363100019&site=eds-live Jorgensen, Barbara.( 2005 June). The "greening" of the supply chain. Electronic Business, Volume 31, Number 6, pp.29-30.
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