## 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 4

Optimize production operations in I985 2, I2 S2

production targets with minimum cost. United Airlines Schedule shift work at

reservation offices I986 2-9, I2, I7, $6

with ...

Optimize production operations in I985 2, I2 S2

**million**chemical plants to meetproduction targets with minimum cost. United Airlines Schedule shift work at

reservation offices I986 2-9, I2, I7, $6

**million**and airports to meet customer needswith ...

Page 522

Normal Crash Normal Crash Activity Time Time Cost Cost A 5 weeks 3 weeks

S20

weeks S16

Normal Crash Normal Crash Activity Time Time Cost Cost A 5 weeks 3 weeks

S20

**million**S30**million**B 3 weeks 2 weeks S10**million**S20**million**C 4 weeks 2weeks S16

**million**S24**million**D 6 weeks 3 weeks S25**million**S43**million**E 5 ...Page 635

Customer 1 2 3 Start-up cost $3

order 3 planes 2 planes 5 planes Fly-Right now wants to determine how many ...

Customer 1 2 3 Start-up cost $3

**million**$2**million**0 Marginal net revenue $2**million**$3**million**$0.8**million**Capacity used per plane 20% 40% 20% Maximumorder 3 planes 2 planes 5 planes Fly-Right now wants to determine how many ...

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### Common terms and phrases

activity additional algorithm amount analysis apply approach assignment assumed basic variable begin BF solution calculate called changes column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE ﬁrst flow formulation given gives hour identify illustrate increase indicates initial inventory involves iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path 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