|dc.description.abstract||Passenger cars are either imported to or assembled in South Africa, and then
distributed to the customer. An important part of the supply chain is formed
by the auto carrier companies who do this distribution. The basis of this thesis
is a study that was executed in collaboration with a South African auto carrier
company, and the objective was to improve the long-distance auto carrier fleet
management through improved tactical operational policies. These policies
focus on application of the fleet by assigning transportation vehicles to routes,
as well as the business rules that must be followed at pick-up and drop-off
Several rules were developed during this study, which, together with specific
transportation vehicle (carriers) assignments, form operational scenarios.
The quality of each scenario was evaluated using discrete event simulation over
a six month time-span, and considering four decision parameters simultaneously.
These parameters are 1) useful kilometres travelled by the long-distance
carriers, 2) empty kilometres travelled by the same long-distance carriers,
3) the expected number of cars waiting to be transported and 4) the expected
time it takes to deliver a car to its destination.
A high level of uncertainty prevails in these transportation operations,
while fluctuating demand calls for the dynamic allocation and management of
carriers in order to sustain an acceptable service level in a cost-effective manner.
The best tactical policies should maximize the number of cars delivered
on time at the lowest cost. Major constraints considered are staff- and maintenance
While searching for the best of several scenarios, multiple, conflicting criteria
had to be evaluated, as mentioned above. Two multi-criteria decision
analysis (MCDA) methods were used namely SAW and TOPSIS, while the
Mahalanobis distance method was also applied as an evaluation technique.
These methods were used to rank scenarios. Additionally, the application of
Portfolio theory and the efficient frontier was investigated for applicability to
the problem studied. An analogy to the efficient frontier providing an additional
means for scenario selection and evaluation was developed. The result of this study provides the decision maker of the auto carrier company
with a tactical decision aid, consisting of the MCDA and Mahalanobis
scenario rankings, a cost-benefit graph and a fleet portfolio efficient frontier,
to aid long-distance carrier management. Additionally, a sensitivity analysis
was also done for strategic planning concerned with the sufficient long-distance
carrier fleet size.
The first part of this thesis comprises a study of literature in which freight
operations, auto carrier studies and the auto carrier context in South Africa
are investigated. The problem is formulated and a suitable formulation and
solution tool identified. Multi-criteria decision analysis is also investigated in
order to enable scenario evaluation.
The solution development phase consisted of the simulation model concept
development, acquisition of input data, model verification and validation,
scenario construction, simulation execution, and analysis of results.||en