Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
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Page 989
Com- pare the results ( including the various costs ) with those ob- tained in part ( c ) . ... The placement of each order is estimated to require 1 hour of cler- ical time , with a direct cost of $ 15 per hour plus overhead costs of ...
Com- pare the results ( including the various costs ) with those ob- tained in part ( c ) . ... The placement of each order is estimated to require 1 hour of cler- ical time , with a direct cost of $ 15 per hour plus overhead costs of ...
Page 992
Regular - Time Unit Cost Month Requirement Sarah purchases the circus peanuts from Peter's Peanut Shop . She has been purchasing 100 bags at a time . However , to encourage larger purchases , Peter now is offering her discounts for ...
Regular - Time Unit Cost Month Requirement Sarah purchases the circus peanuts from Peter's Peanut Shop . She has been purchasing 100 bags at a time . However , to encourage larger purchases , Peter now is offering her discounts for ...
Page 998
( b ) Identify the unit cost of underordering and the unit cost of overordering . ( c ) Use the model with these costs to determine how many over- booked reservations to accept . ( d ) Draw a graph of the CDF of demand to show the ...
( b ) Identify the unit cost of underordering and the unit cost of overordering . ( c ) Use the model with these costs to determine how many over- booked reservations to accept . ( d ) Draw a graph of the CDF of demand to show the ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allocation allowable range artificial variables assignment problem augmenting path basic solution Big M method changes coefficients column Consider the following constraint boundary corresponding CPLEX decision variables dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphically identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LP relaxation lution Maximize Maximize Z maximum flow problem Minimize needed node nonbasic variables objective function obtained optimal solution optimality test path Plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices slack variables solve this model Solver spreadsheet step subproblem surplus variables tion transportation problem transportation simplex method weeks Wyndor Glass x₁ zero
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier McGraw-Hill industrial & plant engineering series McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072321695, 9780072321692 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |