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4 Approximation of Problem for Geometric Programming
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2.0 dollars/time amount cut Amount of product approximately assumed assumption 1.4 CHAPTER class 1-customers constants constraint for product converted into product convex costs customers cut into product cutting patterns CUTTING STOCK PROBLEMS cutting takes place delivery demand for product Density function deterministic equivalent directed substitution distributed as N(0,1 dollars/time of T/unit du2dUl duct Equivalence of constraint expected values expression extra cutting feasible region fl(ul geometric given global optimum Hessian matrix i=k i=k ij ij ij inventory for product inventory level level for product Master of Science mutually exclusive events necessary conditions objective function optimal Policy no.2 polynomial possible Pr("IIc procedure random variables Remaining inventory riod s.t. Pr safety-level satisfied second period Situation Ila solved spacer variable standardized normal distribution stock for product term Theorem thickness total problem traditional decision model unit of product values