Production Planning for Integrated Primary and Secondary Lumber Manufacturing
Keywords:Value-added lumber, production planning, linear programming, optimization
AbstractThis paper describes two linear programming models that were developed for production planning in value-added lumber manufacturing facilities. One model is designed for nonintegrated value-added facilities; the other is designed for value-added facilities integrated with a sawmill. The models were then used to explore the financial benefits for a sawmill to integrate a value-added lumber manufacturing facility at the back end of the mill. Net revenues are compared from the sawmill's point of view for two experimental cases. In Case 1 the sawmill sells its entire lumber production to the market (including to an independent value-added facility). In Case 2, the sawmill sells only the lumber that it is not directed to the value-added facility for further processing. Net revenue for Case 2 exceeds the net revenue of Case 1 by 10%. Results shown demonstrate that production decisions in the value-added facility had a significant influence on production decisions in the sawmill.
Cohen, D. H. 1992. Adding value incrementally. Forest Prod. J. 42(2):40-44.nDirks, J. M., and D. G. Briggs. 1991. Wood products in Washington State: The secondary manufacturing industries. Cintrafor Working Paper No. 30. 103 pp.nDonald, W. S. 1996. Production planning for value added lumber manufacturing. M.Sc. thesís, University of British Columbia, Vancouver, BC.nFaaland, B., and D. G. Briggs. 1984. Log bucking and lumber manufacturing using DP. Management Science 30(2):245-257.nManess, T. C, and D. M. Adams. 1991. The combined optimization of log sawing and bucking strategies. Wood Fiber Sci. 23(2):296-314.nMcKillop W., and S. Hoyer-Nielson. 1968. Planning sawmill production and inventories using linear programming. Forest Prod. J. 18(5):83-88.nMcPhalen, J. C. 1978. A method of evaluating bucking strategies for sawlogs. M.S. thesis, University of British Columbia, Vancouver, BC., Canada.nMendoza, G. A. 1980. Integrating stem conversion and log allocation models for wood utilization planning. Ph.D. dissertation, University of Washington, Seattle, WA.nWellwood, E. W. 1971. Scheduling and control of a Douglas-fir plywood plant aided by linear programming. Forest Prod. J. 21(11):42-50.nWilliams, H. P. 1990. Model building in mathematical programming. John Wiley and Sons, New York, NY.nWilson, G. 1992. Curve sawing increases grade, volume recovery. Forest Industries. September, October 1992.nYaptenco, R. C, and A. E. Wylie. 1970. A quantitative approach to plywood production scheduling. Forest Prod. J. 20(3):54-59.nZheng, Y., F. G. Wagner, P. H. Steele, and J. Zhendong. 1989. Two-dimensional geometric theory for maximizing lumber yield from logs. Wood Fiber Sci. 21(1):91-100.n
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