Optimizing Sao Hill Sawmill product mix through operations research

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dc.contributor.authorDoleib, M
dc.date.accessioned2019-08-15T18:53:52Z
dc.date.accessioned2020-01-07T13:36:08Z
dc.date.available2019-08-15T18:53:52Z
dc.date.available2020-01-07T13:36:08Z
dc.date.issued1981
dc.descriptionAvailable in print formen_US
dc.description.abstractSao Hill Sawmill is a parastatal organization. It has experienced considerable losses during the first three years of its establishment. It is now called upon to improve its efficiency to realize as much profit as possible. This study attempts to find the product mix that would maximize profit. The study consists of a theoretical yield study to determine the possible lumber sixes obtainable from a log, a time study to determine programming model incorporates five anticipated market conditions and two price relationships. The results show how this saw mill should process logs of different sizes so as to maximize profits under each of the five market conditions and the two price relationships. The results also show that the sawmill should avoid silling large lumber sizes unless it is imposed upon it to do that. The stability of the production plans indicated by linear programming was investigated and the prices that should be set for some lumber sizes were derived.en_US
dc.identifier.citationDoleib, M (1981) Optimizing Sao Hill Sawmill product mix through operations research, Masters dissertation, University of Dar es Salaam. Available at (http://41.86.178.3/internetserver3.1.2/detail.aspx)en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/98
dc.language.isoenen_US
dc.publisherUniversity of Dar es Salaamen_US
dc.subjectSawmillsen_US
dc.subjectSao Hill foresten_US
dc.subjectTanzaniaen_US
dc.subjectWood using industriesen_US
dc.subjectOperations researchen_US
dc.titleOptimizing Sao Hill Sawmill product mix through operations researchen_US
dc.typeThesisen_US
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