Technical Report
 

Automatic bar code data collection, forest products industry

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https://ir.library.oregonstate.edu/concern/technical_reports/2227mv21d

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  • American industry is rapidly putting automatic data collection to work tracking raw materials, work-in-process (WJP), finished goods, labor, and time & attendance. Automatic data collection using bar codes, radio frequency data communications (RFDC), radio frequency identification tags (RFID), electronic data interchange (EDI), and other technologies are responsible for improved inventory accuracy and cost controls, as well as significant new efficiencies in the flow of materials in the production process. Accurate and timely inventory, labor and work-in-process tracking are among the prime benefits of successful factory (i.e. mill, plant, etc.) floor data collection. This monograph will focus on some of the key elements in a bar code data collection system for the forest products industry. The general focus of the monograph will be on the use of bar code data collection and labeling in the "primary production" arena. The specific focus will be in the rough/finished mill environment using bar code for labeling and inventory control. The areas of this application that will be addressed and described in detail are unit labeling and shipping. Although the focus will be on "primary production", there will also be a discussion of how the ideas and concepts presented with the "primary production" application apply to other forest industry facilities (i.e. secondary or value added). There will be some discussion of the specifics of bar code technology (such as Code 39, UCC and UPC standards) as it applies to the above application. However, the monograph will assume some basic level of knowledge about bar codes and will not be a "primer" on the subject. Its main thrust will be on how the technology is applied in the field of wood products production.
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  • File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0 on a Canon DR-9050C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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