Skip to page content
USDA Forest Service
  
Treesearch

Research & Development Treesearch

 
Treesearch Home
About Treesearch
Contact Us
Research & Development
Forest Products Lab
International Institute of Tropical Forestry
Northern
Pacific Northwest
Pacific Southwest
Rocky Mountain
Southern Research Station
Help
 

Science.gov - We Participate


USA.gov  Government Made Easy


Global Forest Information Service

US Forest Service
P.O. Box 96090
Washington, D.C.
20090-6090

(202) 205-8333

You are here: Home / Search / Publication Information
Bookmark and Share

Publication Information

View PDF (240 KB)

Title: ROMI 3.1 Least-cost lumber grade mix solver using open source statistical software

Author: Buck, Rebecca A.; Buehlmann, Urs; Thomas, R. Edward.;

Date: 2010

Source: Forest Products Journal. 60(5): 432-439.

Publication Series: Scientific Journal (JRNL)

Description: The least-cost lumber grade mix solution has been a topic of interest to both industry and academia for many years due to its potential to help wood processing operations reduce costs. A least-cost lumber grade mix solver is a rough mill decision support system that describes the lumber grade or grade mix needed to minimize raw material or total production cost (raw materials plus processing cost). Because raw material costs in typical rough mills comprise 40 to 70 percent of total rough mill manufacturing expenses, the least-cost lumber grade mix problem, as it is referred to, is important. An existing second-order polynomial least-cost lumber grade mix model integrated into the US Department of Agriculture (USDA) Forest Service's rough mill simulator, ROMI-3.0, which uses SAS 8.2 for statistical calculations, was used for the research described in this article. For this existing model, the USDA Forest Service purchased a SAS server license to allow free use of the software to least-cost lumber grade mix users via the Internet. Several issues around this rather involved setup necessitated the search for an alternative, local solution for the statistical computations. The open source statistical package R 2.7.2 was tested to see if it is an equivalent replacement for SAS 8.2. Comparisons of the SAS-based and a newly developed R-based least-cost lumber grade mix solver indicate no statistically significant difference between the two decision support systems. Therefore, the new R-based least-cost lumber grade mix solver was incorporated into ROMI-3.0. Thus, rough mill operators now have a new version of ROMI-3.0 with the integrated least-cost lumber grade mix solver at their disposal that does not require their computers to communicate with an outside server.

Publication Notes:

  • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
  • This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
  • Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, shobrla@fs.fed.us if you notice any errors which make this publication unusable.

XML: View XML

Citation:


Buck, Rebecca A.; Buehlmann, Urs; Thomas, R. Edward. 2010. ROMI 3l Least-cost lumber grade mix solver using open source statistical software. Forest Products Journal. 60(5): 432-439.

 


 [ Get Acrobat ]  Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility

USDA logo which links to the department's national site. Forest Service logo which links to the agency's national site.