Thesis (doctoral)--Uppsala universitet, 1989. / Summary in English. Added t.p. with thesis statement inserted. Includes bibliographical references (p. 198-208).

Thesis--Technische Hochschule Carolo-Wilhelmina zu Braunschweig. / eContent provider-neutral record in process. Description based on print version record. Bibliography: p. 93-97.

Thesis (Ph. D.)--Oregon State University, 2007. / Printout. Includes bibliographical references. Also available on the World Wide Web.

Thesis (Ph. D.)--University of Washington, 2007. / Vita. Includes bibliographical references (leaves 154-162).

Public concern about increasing firm sizes and industrial concentration levels, particularly in the B.C. forest industry, has been mounting over the past decade. The diminished role of the independent, small-scale enterprise has been criticized, focusing interest on the available opportunities for small scale timber and lumber production. However, several hundred small sawmilling operations have been active in the B.C. Interior for many years. To explore the reasons for this diversity in firm sizes, the economies of scale influencing present plant and firm sizes, and the development of those economies, are assessed for the Interior sawmilling industry. The economies faced by the smallest firms are also examined, and compared to those of the largest firms. Small scale sawmilling is closely associated with farming operations in B.C., and is concentrated in those regions supporting a combination of farm and timber land. The detailed study of small scale, portable sawmilling in the Peace River region assesses the structure, conduct, and economic performance of that industry to determine the economic efficiency of firms and the constraints faced by the industry. The small firms competitively produce lumber for an entirely local market, and constitute a unique industry operating on the fringe of the large scale sawmilling industry. The industry contributes only a very small portion of the region's total income; however, many of the sawmilling operations supplement farm revenues, raising them to a profitable level. The only severe threat to industry survival within the next 10 to 15 years is the limited availability, to the firms, of the region's Crown owned timber resource. To allow the industry to operate competitively in the future, small volumes of Crown timber must be offered for sale. Also evident among the existing sawmill owners and interested individuals is a demand for the opportunity to practice long term, private timber production. While forested Crown land suitable to small scale tree farming is available in the region and throughout the province, further study is necessary to define the extent of the demand and to outline the property rights essential to maintaining a competitive industry. / Forestry, Faculty of / Graduate

Thesis (M. For. Sc.)--University of Canterbury, 2008. / Typescript (photocopy). Includes bibliographical references (leaves 46-47). Also available via the World Wide Web.

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1993. / Vita. Abstract. Includes bibliographical references (leaves 145-148). Also available via the Internet.

In the context of forest products, a cutting order is a list of dimension parts along with demanded quantities. The cutting-order problem is to minimize the total cost of filling the cutting order from a given lumber grade (or grades). Lumber of a given grade is supplied to the production line in a random sequence, and each board is cut in a way that maximizes the total value of dimension parts produced, based on a value (or price) specified for each dimension part. Hence, the problem boils down to specifying suitable dimension-part prices for each board to be cut. The method we propose is adapted from Gilmore and Gomory's linear programming approach to the cutting stock problem. The main differences are the use of a random sample to construct the linear program and the use of prices rather than cutting patterns to specify a solution. The primary result of this thesis is that the expected cost of filling an order under the proposed method is approximately equal to the minimum possible expected cost, in the sense that the ratio (expected cost divided by the minimum expected cost) approaches one as the size of the order (e.g., in board feet) and the size of the random sample grow large. A secondary result is a lower bound on the minimum possible expected cost. The actual minimum is usually impractical to calculate, but the lower bound can be used in computer simulations to provide an absolute standard against which to compare costs. It applies only to independent sequences, whereas the convergence property above applies to a large class of dependent sequences, called alpha-mixing sequences. Experimental results (in the form of computer simulations) suggest that the proposed method is capable of attaining nearly minimal expected costs in moderately large orders. The main drawbacks are that the method is computationally expensive and of questionable value in smaller orders. / Graduation date: 2001

Thesis (M.S.)--Oregon State University, 2010. / Printout. Includes bibliographical references (leaves 76-78). Also available on the World Wide Web.

Research Project (M.B.A.) - Simon Fraser University, 2005. / Research Project (Faculty of Business Administration) / Simon Fraser University. EMBA Program. Senior supervisor : Dr. Ed Bukszar.