Resource planning and management (RPM) of a multi-period, multi-product Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/c821gp25p

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  • Resource Planning and Management (RPM) techniques have been applied in this study of a product-mix and production scheduling linear programming problem of a cooperating food processor. Resource Planning and Management is a graphical portrayal of the interactions between related resources and activities within a system. In this study linear RPM models were developed primarily to determine the effects of incorporating seafood product processing into the already established vegetable processing. The model was extended to also consider the possibility of augmenting two other vegetables as well, making a total of ten major product types processed throughout four sequential three-month periods. The RPM networks were then interpreted as linear programming models with 293 primal structural variables and 387 primal logical variables. The corresponding equations were solved for the maximum profit through the use of *REX, a linear programming software system on the Oregon State University CDC-3300 computer. The study revealed that the addition of shrimp, crab, and peas to the processing cycle increased the optimal before-tax profit by approximately 41%, while the inclusion of cauliflower in the productmix could deteriorate the before-tax profit by as much as 0.34 cents per pound. The conclusions in this study suggest that seafood processing by vegetable processors in Oregon could stabilize their manpower utilization throughout the year. The RPM network components, interrelationships, and postulates are presented and applied to the various phases of the operation, and results of the computer data processing are discussed along with recommendations for future areas of research.
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