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Title: EXAM SCHEDULING PROBLEM: AN AHP MODEL FOR PARAMETER ESTIMATION


1
EXAM 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
2
Outline
  • The Goal
  • Timetabling Problems
  • Educational Timetabling
  • Invigilator-Exam Scheduling
  • The AHP
  • Conclusions and Future Works

3
GOAL
  • Constructing a valid multi cirteria decison
    model.
  • Robustness
  • Appropriate method
  • Qualitative and quantitative factors

4
Timetabling 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.

5
Educational 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
6
Educational Timetabling
7
Invigilator-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 ? ? ? ?
. . ? ? ? ?
. . ? ? ? ?
?
8
The context diagram of automated invigilator
assignment system
9
Multiobjective 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

10
Constraints
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,

11
Mathematical Model
subject to
C1
C2
C3
C4
C5
12
AHP
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.
13
AHP
  • 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.

14
AHP Model of the Problem
15
Weights of all criteria
16
Sensitivity Analysis
17
Sensitivity Analysis
18
Conclusions 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
19
Future work




20
Future Work





21
An 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
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