## 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 97

(a) All the functional constraints for this problem can be expressed as equality

constraints. To do this, let A, B, C, and D, be the amount invested in investment A,

B, C, and D,

investment ...

(a) All the functional constraints for this problem can be expressed as equality

constraints. To do this, let A, B, C, and D, be the amount invested in investment A,

B, C, and D,

**respectively**, at the beginning of year t for each t where theinvestment ...

Page 393

Five branch plants now have excess product capacity. The unit manufacturing

cost of the first product would be $31, $29, $32, $28, and $29 in Plants 1, 2, 3, 4,

and 5,

Five branch plants now have excess product capacity. The unit manufacturing

cost of the first product would be $31, $29, $32, $28, and $29 in Plants 1, 2, 3, 4,

and 5,

**respectively**. The unit manufacturing cost of the second product would be ...Page 831

Let D1, D2, . . . , be the demand for a product in periods 1, 2. . . . ,

only time that ordering will take place is when Z, = 0, -1, -2, or -3, in which case 2,

2, 4, and 4 units are ordered,

Let D1, D2, . . . , be the demand for a product in periods 1, 2. . . . ,

**respectively**. ...only time that ordering will take place is when Z, = 0, -1, -2, or -3, in which case 2,

2, 4, and 4 units are ordered,

**respectively**, leaving X, = 2, 1, 2, 1,**respectively**.### What people are saying - Write a review

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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