A company is assembling a team
to carry out a series of operations. There are four members of the
team: A, B, C and D, and
four operations to be carried out. Each team
member can carry out exactly one operation. All four operations must be
carried
out successfully for the overall project to succeed, however
the probability of a particular team member succeeding in a particular
operation varies, as shown in the table below. For example, if
the team
members were assigned to operations in the order ABCD,
then the overall
probability of successful completion of the project is
(0.9)(0.6)(0.85)(0.7) = 0.3213.
If there is any
possible way that the team can be arranged such that the overall
probability of success exceeds 45%, then the manager will
approve the
project. Will the manager approve the project? If yes, what is the
arrangement of the team that gives the highest probability of success?
The formal branch and bound formulation for this problem follows:
Meaning
of a
node in the branch and bound tree: a
person-operation assignment, full or partial.
Node
selection policy: global best value of the
bounding function
Variable
selection policy: choose the next operation in
natural order, 1 to 4.
Bounding
function: for unassigned operations, choose the
best unassigned person
(the one with the highest probability of
success) even if that person is chosen more than once.
Terminating
Rule: when the incumbent solution objective
function value is better
than or equal to the bounding
function values
associated with all of the bud nodes.
Fathoming:
when a bounding function gives a solution in
which
each
operation is assigned to a different person.
The example below will
step through the branch and bound method in order to find a solution to
this problem.
Press the Start button to begin the example.
This animation was made using Alligator Flash Designer 7.
More information about this program is available at
Selteco
Alligator.
You can view the source code for this animation using the trial verson
of Alligator Flash Designer 7 and