## Introduction to Operations Research, Volume 1-- This classic, field-defining text is the market leader in Operations Research -- and it's now updated and expanded to keep professionals a step ahead -- Features 25 new detailed, hands-on case studies added to the end of problem sections -- plus an expanded look at project planning and control with PERT/CPM -- A new, software-packed CD-ROM contains Excel files for examples in related chapters, numerous Excel templates, plus LINDO and LINGO files, along with MPL/CPLEX Software and MPL/CPLEX files, each showing worked-out examples |

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Page 388

Cost per Unit Distributed Destination (Product) 1 2 3 4 5(0) Supply some 1 41 27

2s 24 0 7s 2 40 29 M 23 0 7s (P"'"') 3 37 30 27 21 0 45 Demand 20 so so 40 7s

...

Cost per Unit Distributed Destination (Product) 1 2 3 4 5(0) Supply some 1 41 27

2s 24 0 7s 2 40 29 M 23 0 7s (P"'"') 3 37 30 27 21 0 45 Demand 20 so so 40 7s

**TABLE**8.28 Parameter**table**for the transportation problem formulation of Option...

Page 389

Cost per Unit Distributed Destination (Product) 1 2 3 4 sto) Supply some 1 41 27

28 24 o 75 2 40 29 M 23 0 75 (P""") 3 37 30 27 21 0 4s Demand 20 30 30 40 75

...

Cost per Unit Distributed Destination (Product) 1 2 3 4 sto) Supply some 1 41 27

28 24 o 75 2 40 29 M 23 0 75 (P""") 3 37 30 27 21 0 4s Demand 20 30 30 40 75

**TABLE**8.28 Parameter**table**for the transportation problem formulation of Option...

Page 729

problem Total Net Votes Won by Politician 1 (in Units of 1,000 Votes) Politician 2

Strategy 1 2 3 1 Politician 1 2 3 and each additional vote (before he learns the ...

**TABLE**14.2 Form of the payoff**table**for politician 1 for the political campaignproblem Total Net Votes Won by Politician 1 (in Units of 1,000 Votes) Politician 2

Strategy 1 2 3 1 Politician 1 2 3 and each additional vote (before he learns the ...

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activity additional algorithm alternative amount analysis apply assignment assumed basic variable begin BF solution calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit waiting weeks