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Introduction to Modeling
Evolution of Management Science
Introduction to Linear Programming Models
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algorithm allocation arrivals artificial variables assignment assignment problem associated average basic feasible solution basic variables basis cell chapter coefficients column computer output contribution to profit decision variables demand determine developed dollars dynamic programming employed equation example exist feasible region Ferguson Company fertilizer formulation goal constraint goal programming graphical identify implementation inequality initial tableau integer programming inventory investment linear programming problem LP problem management science Manufacturing Math Structure mathematical matrix minimize month MS/OR nitrate nodes nonbasic variable number of units objective function Operations Research optimal solution optimal tableau order quantity overtime plant potash primal problem priority prob probability procedure production queuing random numbers resource Right-hand Side shipped shortest path problem simplex method simulation SLACK VARIABLES solution process solve state-of-nature step stone method surplus variables tion tons total cost VARIABLES VALUES VECTOR warehouse zero