Abstract
There are several areas in the plywood industry where Operations Research techniques have greatly assisted in better decision-making. These have resulted in improved profits, reduction of wood losses and better utilization of resources. Realizing these, some of the plywood manufacturing firms in the developed countries have established separate Operations Research departments or divisions. In the face of limited raw-material resources, raising costs and a competitive environment, the benefits attributable to the use of these techniques are becoming more and more significant.
Zusammenfassung
Es gibt in der Sperrholzindustrie eine Reihe von Gebieten in denen sich die Anwendung von Operations-Research-Methoden zur Herbeiführung besserer Entscheidungen bewährt, zur Erhöhung der Gewwine, zur Verminderung von Holzverlusten und besseren Nutzung der Rohstoffreserven geführt hat. In Erkenntnis dessen, haben sperrholzerzeugende Unternehmen in Industrieländern eigene Operations-Research-Abteilungen eingerichtet. Angesichts begrenzter Rohholz-Ressourcen, steigender kosten und verdrängenden Wettbewerbs, gewinnen die Vorteile, die sich aus der Anwendung von OR-Methoden ergeben immer mehr an Bedeutung.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Literature
Atkins, D.R.; Granot, D.; Raghavendra, B.G. 1984: Application of mathematical programming to the plywood design and manufacturing problem. Manage. Sci. 30:1424–1441
Diaz, R.E. 1974: Bibliography of operations research in forest industries. College of Forestry Resources, Univ. of Washington, Seattle/WA, USA
Dobson, P.O. 1971: How MacMillan Bloedel allocates logs by linear programming. Can. For. Ind. 91:44–45
Field, D.B. 1976: Application of operations research to quantitative decisions in forestry and the forest products industries—a bibliography (4th rev). Yale Univ., School of Forestry and Environmental Studies, USA
Hawkins, B.T.; Clarke, L.N. 1970: Allowances for trim when making plywood. Aust. Timber J. 36:39–43
Hay, D.A. 1983: Tactical timber harvesting planning using a combined dynamic programming and linear programming approach, ORSA/TIMS Conference, Orlando/FL, USA
Holmes, S. 1976: Introduction to operations research as applied to forest products industries. For. Prod. J. 26(1):17–22
Klamecki, B.E. 1978: Opitimization of veneer lathe settings—a nonlinear programming approach. Wood Sci. 10:220–224
Kotak, D.B. 1976: Application of linear programming to plywood manufacture. Interfaces 7(1):56–68
Lembersky, M.R.; Chi, U.H. 1986: Weyerhaeuser decision simulator improves timber profits. Interfaces 16(1) [as quoted in OR/MS Today (1986) 13(1):8]
Pnevmaticos, S.M.; Mann, S.H. 1972: Dynamic programming in tree bucking. For. Prod. J. 22(2):26–30
Raghavendra, B.G.; Nagaraju, S. 1975: Optimizing the trim allowance in plywood manufacture. J. Indian Assoc. Quality & Reliability 2(3):119–124
Raghavendra, B.G. 1979: A survey of operations research applications in wood products industries. Forestry 559, Faculty of Forestry, University of British Columbia, Canada
Raghavendra, B.G. 1982: Some mathematical programming models in the design and manufacture of plywood. Ph. D. Thesis, University of British Columbia, Canada
Resch, H.; Scheurman, H.L. 1977: Computer simulation of the softwood veneer drying operation. For. Prod. J. 27(2):32–35
tobin, L.R.; Bethel, J.S. 1969: Veneer recovery prediction and analysis through computer simulation. Wood Fiber 1:97–107
Wellwood, E.W. 1971: Scheduling and control of a Douglas-fir plywood plant by linear programming, For. Prod. J. 21(11):42–50
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Raghavendra, B.G. Operations research applications in the plywood industry. Holz als Roh-und Werkstoff 45, 383–388 (1987). https://doi.org/10.1007/BF02606003
Issue Date:
DOI: https://doi.org/10.1007/BF02606003