HRM 3400 Chapter Notes - Chapter 12: Cplex, Satisficing, Symantec

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HRM 3400 Chapter 12 Notes Summary
Introduction
The optimization program, which used the C++ programming language and CPLEX
optimization software, helped the company reduce total costs by more than 20 percent.
Some spreadsheet programs, such as Excel, have optimizing features
Optimization software also allows decision makers to explore various alternatives.
A satisficing model is one that finds a goodbut not necessarily the bestsolution to a
problem.
Satisficing is used when modeling the problem properly to get an optimal decision
would be too difficult, complex, or costly.
Satisficing normally does not look at all possible solutions but only at those likely to give
good results.
Consider a decision to select a location for a new manufacturing plant.
To find the optimal (best) location, you must consider all cities in the United States or
the world.
A satisficing approach is to consider only five or ten cities that might satisfy the
opa’s euieets.
Limiting the options might not result in the best decision, but it will likely result in a
good decision, without spending the time and effort to investigate all cities.
Satisficing is a good alternative modeling method because it is sometimes too expensive
to analyze every alternative to find the best solution.
Heuistis, also ko as ules of thu, ae ool aepted guidelies o
procedures that usually find a good solution.
A heuristic that baseball team managers use is to place batters most likely to get on
base at the top of the lineup, followed by the power hitters who can drive them in to
score.
A eaple of a heuisti used i usiess is to ode fou oths’ suppl of ieto
for a particular item when the inventory level drops to 20 units or less; although this
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