Introduction to Operations ResearchMethodology; Fundamentals; Techniques: mathematical programming; Techniques: probalistic models;Techniques: advanced topics in mathematical programming. |
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Page 359
... inventory policy , the profit or costs a year hence should be multiplied by a , two years hence , by a2 , etc. Of course , the choice of discounting on a yearly ... inventory level O Q ( t ) = Q - 12.2 ] 359 Deterministic Inventory Models.
... inventory policy , the profit or costs a year hence should be multiplied by a , two years hence , by a2 , etc. Of course , the choice of discounting on a yearly ... inventory level O Q ( t ) = Q - 12.2 ] 359 Deterministic Inventory Models.
Page 395
... Inventory Models The previous sections dealt with inventory systems for single product . models . However , most real inventory systems involve many products with various types of interactions such as joint storage and budget ...
... Inventory Models The previous sections dealt with inventory systems for single product . models . However , most real inventory systems involve many products with various types of interactions such as joint storage and budget ...
Page 396
... inventory models was pre- sented by Iglehart.80 Inventories of product 2 are maintained to provide capability for ... Inventory and Production , Stanford Univ . Press , Stanford , Calif . , 1958 . 2. Buchan , J. , and Koenigsberg , E ...
... inventory models was pre- sented by Iglehart.80 Inventories of product 2 are maintained to provide capability for ... Inventory and Production , Stanford Univ . Press , Stanford , Calif . , 1958 . 2. Buchan , J. , and Koenigsberg , E ...
Contents
Introduction 32 | 3 |
Planning an Operations Research Study | 12 |
Probability Theory 223 | 77 |
Copyright | |
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allocation assigned assumed b₁ b₂ basic feasible solution basic solution calling units coefficient concave function Consider constraints convex convex function convex set corresponding decision variables decision-maker demand denote density function discrete random variable dual problem entering basic variable estimate event example expected value exponential distribution formulation given Hence illustrate integer inventory iteration leaving basic variable linear programming problem Markov chain mathematical matrix maximize minimize mixed strategy node non-basic variables non-negative normal distribution objective function obtained operations research optimal policy optimal solution optimal value original parameter payoff period player Poisson input possible primal problem probability distribution queueing model queueing system queueing theory random numbers sample space server service facility set of equations simplex method simulation slack variables solution procedure solve steady-state Suppose technique Theorem tion total cost variance waiting x₁ zero