Title: EXAM SCHEDULING PROBLEM: AN AHP MODEL FOR PARAMETER ESTIMATION
1EXAM SCHEDULING PROBLEM AN AHP MODEL FOR
PARAMETER ESTIMATION
Zehra KAMISLI ÖZTÜRK Anadolu University, Open
Education Faculty Eskisehir/TURKEY
zkamisli_at_anadolu.edu.tr Assoc.Prof. Dr. Mujgan
SAGIR ÖZDEMIR Eskisehir Osmangazi
University Industrial Engineering
Department Eskisehir/TURKEY msagir_at_ogu.edu.tr
2Outline
- The Goal
- Timetabling Problems
- Educational Timetabling
- Invigilator-Exam Scheduling
- The AHP
- Conclusions and Future Works
3GOAL
- Constructing a valid multi cirteria decison
model. - Robustness
- Appropriate method
- Qualitative and quantitative factors
4Timetabling Problems
- Timetabling problems are a kind of scheduling
problems that deal with allocation of given
resources to objects being placed in space time,
in such a way as to satisfy as nearly as possible
a set of desirable objectives, subject to
constraints.
5Educational Timetabling
The problem of constructing course timetables for
academic institutions consists of allocating
the set of courses offered by the university to
time periods and classrooms in such a way that no
teacher, student or room is used more than once
per period and that room capacities are not
exceeded
6Educational Timetabling
7Invigilator-Exam Assignment
- which invigilators will take part on which exam
Time Slots (TS) Exams Invigilators Invigilators Invigilators Invigilators
Time Slots (TS) Exams S1 S2 S3 . . .
TS1 Exam1 ? ? ? ?
TS1 Exam2 ? ? ? ?
TS2 Exam3 ? ? ? ?
TS2 Exam4 ? ? ? ?
TS2 Exam5 ? ? ? ?
TS3 Exam6 ? ? ? ?
. . ? ? ? ?
. . ? ? ? ?
?
8The context diagram of automated invigilator
assignment system
9Multiobjective Structure
- Simultaneous minimization of
- total assignment cost,
- the total deviation from average exam weights
- the total deviation from average number of exams
in undesired time slots
10Constraints
continue
- Hard Constraints
- One invigilator must be assigned to maximum one
exam at time slot t - required number of invigilators must be assinged
to exactly each exam - Pre assignments must be satisfied
- Soft Constraints (description of user whishes)
balancing of - the total exam weights of each invigilators
- number of exams in undesired time slots,
11Mathematical Model
subject to
C1
C2
C3
C4
C5
12AHP
An Analytic Hierarchy Process (AHP) model is
developed to weigh different criteria of the
problem. AHP has been a popular research and
application tool for multicriteria
decision-making. The AHP was developed by Saaty
Saaty, 1986 Saaty, 1980 and has been
identified as an important approach to
multi-criteria decision making problems of choose
and prioritization. There can be several tangible
and intangible criteria that influence the
decision problems.
13AHP
- In the AHP process decision makers give judgments
about relative importance for each criterion, and
then they specify preferences on each criterion
for each decision alternative. - The first step of AHP is the definition of
decision problem and determination of its
objective. - Then, the decision criteria are defined in the
form of a hierarchy. - To make the pair-wise comparisons, the comparison
matrices of criteria and decision alternatives
are constructed. - By making the comparisons, the weights
(importance) of each criterion are obtained. In
the final step, by hierarchical synthesis, the
weights (priorities) of the alternatives are
obtained.
14AHP Model of the Problem
15Weights of all criteria
16Sensitivity Analysis
17Sensitivity Analysis
18Conclusions and Future Works
Exam scheduling problem is a time consuming task
that is usually solved manually
Considering preferences affect the overall
performance of the system
The parameters of invigilator-exam assignment
problem are evaluated
19Future work
20Future Work
21An integer programming approach to classification
problemsbased on polyhedral conic functions
EXAM SCHEDULING PROBLEM AN AHP MODEL FOR
PARAMETER ESTIMATION
Thank you
Zehra KAMISLI ÖZTÜRK Anadolu University, Open
Education Faculty Eskisehir/TURKEY
zkamisli_at_anadolu.edu.tr Assoc.Prof. Dr. Mujgan
SAGIR ÖZDEMIR Eskisehir Osmangazi
University Industrial Engineering
Department Eskisehir/TURKEY msagir_at_ogu.edu.tr