The lack of a corporate parts numbering system is a serious shortcoming of our company. Data from our Product Lifecycle Management (PLM) systems indicates that our engineers across multiple geographic design locations design an average of 300 parts each day. An enterprise Part Numbering System (PNS) will greatly improve management of the constantly evolving parts portfolio in our company. It will have a far-reaching impact in every aspect of our operations, including supply chain management, inventory management, product code duplication, design duplication effort, design management, change management and the reuse of components. The main purpose of any PNS is to assign a unique number to each of the components we design and manufacture for a specific application. There are three different methods of part numbering systems widely used in the industry.1. Meaningful (or intelligent) part numbers2. Semi-meaningful (or semi-intelligent) codes3. Non-significant (random) part numbers. In this report I analyze the merits and demerits of each method. The method we select cannot be easily changed in the future. Therefore the method we choose will have a lasting impact on our company. Significant Part Numbers The significant part number method is the earliest form of numbering system. In this method each character in the item code has a meaning that describes an aspect of the component such as product line, raw material, color, size, etc. And an engineer can identify component details from the part number. For example, the product code for our hydraulic rotation on the 12AT/50AT series filters will be constructed as shown in Figure 1. Figure 1One of the main advantages of the significant product codes is that it provides all the symbols... in the center of the card.. ...h.ebscohost.com/login.aspx?direct=true&db=edselp&AN=0167541987900020&site=eds-liveBallard, G. (2000). Positive VS Negative Iteration in Design, in Proceedings of the Eighth Annual Conference of the International Group for Lean Construction (IGLC-8). Brighton, United Kingdom 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 Commerce, Volume 31, Number 6, pp.29-30.http://proxy.ulib.csuohio.edu:2050/login?url=http://search.ebscohost.com/login.aspx?direct=true&db =edo&AN=18020280&site=eds-live