scholarly journals Determining Student Activities via Compromised-Analytic Hierarchy Process and 0-1 Integer Programming to Maximize SETARA Points and Satisfy Chickering Theory

2018 ◽  
pp. 676-682
Author(s):  
E. M. Nazri ◽  
N. A. Yusof ◽  
N. Ahmad N. Ahmad ◽  
M. D. K. Shariffuddin ◽  
S. J. M. Khan
Keyword(s):  
Integer Programming ◽  
Analytic Hierarchy Process ◽  
Student Development ◽  
Performance Indicator ◽  
Development Theory ◽  
Student Body ◽  
Analytic Hierarchy ◽  
Student Activities ◽  
The University ◽  
Hierarchy Process

Prioritizing and making decisions on what student activities to be selected and conducted to fulfill the aspiration of a university requires some understanding on the mission of the university as translated in its strategic plan and the basic theory on student development. For government funded universities in Malaysia, the recent budget cut imposed by the Malaysian government has made the task more difficult. In this paper, we illustrated how 0-1 integer programming (0-1 IP) model was implemented to select which activities among the forty activities proposed by the student body of Universiti Utara Malaysia (UUM) to be implemented for the 2017/2018 academic year. Two different models were constructed. The 0-1 IP model was developed to determine which activities to be selected based on RM50,000 total budget allocated by the UUM management towards fulfilling the SETARA-rating requirements as well as the Chickering’s student development theory. The selection of activities was also based on maximizing the preference of the members of the student body whereby the preference value for each activity was determined using Compromised-Analytic Hierarchy Process. The optimal result obtained using LINGO version 11 revealed that the budget allocated was more than enough to fulfill all the needed requirements. The technique used in this study will be useful and suitable to be implemented by organizations with key performance indicator-oriented programs and having limited budget allocation issues.

scholarly journals Scheduling of Student-development Activities via an Integration of Compromised-AHP and Transportation Model

2019 ◽  
pp. 265-276
Author(s):  
Engku Muhammad Nazri ◽  
Norazura Ahmad ◽  
Mohd Dino Khairri Shariffuddin
Keyword(s):  
Student Development ◽  
Participation Rates ◽  
Optimal Result ◽  
Student Body ◽  
Analytic Hierarchy ◽  
Planning And Scheduling ◽  
Student Activities ◽  
High Participation ◽  
Hierarchy Process ◽  
Academic Year

One of the main challenges to schedule student-development activities in a university is to avoid time conflicts that may affect participation from the students. This can be achieved by having a proper planning and scheduling of student-development activities. In this paper, we demonstrate how Compromised-Analytic Hierarchy Process (C-AHP) and 0-1 Integer Programming (0-1 IP) models were utilized to schedule a set of student activities to be run by the UUM’s Student Body for the 2018/2019 academic year. The C-AHP was used to determine the activity-month preference values, while 0-1 IP models were constructed to schedule a set of student activities that can be executed successfully with high participation rates from the students. Two different 0-1 IP models, which can be viewed as transportation models: Model A and Model B were constructed. Model A was formulated without the month preference to conduct the activities, whereas Model B took consideration on the month preference. For Model A, the optimal result indicated that the activities scheduled were concentrated towards the earlier months of the academic year. On the other hand, the scheduling of activities provided by Model B was better-spread across the months of the academic year. The methods applied in this study will be useful to be implemented by organizations with many subunits in the management of planned activities in order to avoid time conflicts among activities, which in turn will minimize the chances of activity failure.

scholarly journals LECTURERS’ MANAGERIAL COMPETENCIES IMPORTANT FOR STUDENTS AT THE CZECH UNIVERSITY OF LIFE SCIENCES

2018 ◽  
Vol 76 (4) ◽  
pp. 465-482
Author(s):  
Helena Brožová ◽  
Jana Horáková ◽  
Jiří Fiedler
Keyword(s):  
Analytic Hierarchy Process ◽  
Life Sciences ◽  
Educational Process ◽  
Point Of View ◽  
Analytic Hierarchy ◽  
Managerial Competencies ◽  
Good Communication ◽  
Knowledge Competencies ◽  
The University ◽  
Hierarchy Process

This research identifies the lecturers’ competencies which are the most important from the students’ perspective at the Czech University of Life Sciences Prague and compares students’ opinion and their change over the whole study period. It does not deal with the knowledge competencies of lecturers that students cannot objectively evaluate, but with lecturers’ managerial competencies that affect the organization, forms and ways of teaching. The examined competencies are hierarchically organized into three groups of particular competencies comprising of bipolar characteristics. Based on survey of students at the University, the evaluation of importance of managerial competencies using the Analytic Hierarchy Process was performed. The findings show that Innovative education, Good communication skills, Ability of improvisation, and Democratic way of teaching are the most important lecturers’ competencies from students’ point of view. Surprisingly, Oral based presentation is preferred to IT based one. Knowledge of the most important managerial competencies can help lecturers and universities to increase quality of educational process and attractiveness of the university for students. Keywords. Analytic Hierarchy Process, higher educational institutions, lecturer’s managerial competencies, students’ perception.

scholarly journals Fuzzy Analytic Hierarchy Process-Based Multi-Criteria Decision Making for Universities Ranking

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1351
Author(s):  
Rashad Aliyev ◽  
Hasan Temizkan ◽  
Rafig Aliyev
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Performance Indicator ◽  
Real Life ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Life Problems ◽  
Types Of Information ◽  
Hierarchy Process

High competition between universities has been increasing over the years, and stimulates higher education institutions to attain higher positions in the ranking list. Ranking is an important performance indicator of university status evaluation, and therefore plays an essential role in students’ university selection. The ranking of universities has been carried out using different techniques. Main goal of decision processes in real-life problems is to deal with the symmetry or asymmetry of different types of information. We consider that multi-criteria decision making (MCDM) is well applicable to symmetric information modelling. Analytic hierarchy process (AHP) is a well-known technique of MCDM discipline, and is based on pairwise comparisons of criteria/alternatives for alternatives’ evaluation. Unfortunately, the classical AHP method is unable to deal with imprecise, vague, and subjective information used for the decision making process in complex problems. So, introducing a more advanced tool for decision making under such circumstances is inevitable. In this paper, fuzzy analytic hierarchy process (FAHP) is applied for the comparison and ranking of performances of five UK universities, according to four criteria. The criteria used for the evaluation of universities’ performances are teaching, research, citations, and international outlook. It is proven that applying FAHP approach makes the system consistent, and by the calculation of coefficient of variation for all alternatives, it becomes possible to rank them in prioritized order.

Selection of Engineering Management University Internship Projects Based on Fuzzy Analytic Hierarchy Process

2013 ◽  
Vol 787 ◽  
pp. 1002-1005 ◽  
Author(s):  
Jian Yu Zhao ◽  
Yi Zhou ◽  
Xiao Yang Cai
Keyword(s):  
University Students ◽  
Analytic Hierarchy Process ◽  
Fuzzy Comprehensive Evaluation ◽  
Engineering Management ◽  
Fuzzy Analytic Hierarchy Process ◽  
Practical Significance ◽  
Analytic Hierarchy ◽  
The University ◽  
Hierarchy Process ◽  
Selection Of

With the growing development of the society nowadays, the economic growth in China is also increasing fast, which deeply influences the decisions and options that university students make to plan for their future and to seek for the opportunities of the internship. This paper analyzes the attitude and the aims towards to internship for the university students, especially for those who major in engineering management, combining the actual cases analysis, this paper introduces the Fuzzy Comprehensive Evaluation (FCE) and Analytic Hierarchy Process (AHP) to build the combination model named Fuzzy Analytic Hierarchy Process (FAHP). It is applied to better selection of the internship for whom majoring in engineering management. The actual results show that it can solve such multi-factor, multi-level and uncertain decision making problems, which is of practical significance to the university students who are searching for the internship of engineering management.

scholarly journals ISAHP2018 Conference in Hong Kong, July 12-15

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Rozann W. Saaty
Keyword(s):  
Hong Kong ◽  
Analytic Hierarchy Process ◽  
International Symposium ◽  
Graduate School ◽  
Analytic Hierarchy ◽  
The Past ◽  
University Professor ◽  
The Analytic Hierarchy Process ◽  
The University ◽  
Hierarchy Process

This year the International Symposium on the Analytic Hierarchy Process (ISAHP2018) was dedicated to the memory of Thomas Saaty, the father of the Analytic Hierarchy Process, and my husband of 52 years, who passed away on August 17, 2017, at the age of 91 The conference chair was Luis Vargas, Tom’s longtime colleague at the University of Pittsburgh's Joseph M. Katz Graduate School of Business where he held the chair of Distinguished University Professor. Their names are linked on many AHP articles and books that they co-authored during the past 40 years.

scholarly journals Application of Analytic Hierarchy Process (AHP) to Develop the Weighting of Key Performance Indicators on Gas Engine Power Plants

2021 ◽  
Vol 3 (4) ◽  
pp. 18-23
Author(s):  
Dedi Emawan ◽  
Aditya Tirta Pratama ◽  
Henry Nasution
Keyword(s):  
Power Plant ◽  
Analytic Hierarchy Process ◽  
Power Plants ◽  
Performance Indicator ◽  
Group Discussion ◽  
Heat Rate ◽  
Analytic Hierarchy ◽  
Gas Engine ◽  
Hierarchy Process ◽  
Engine Power

Power plants as electricity producers need to be maintained using monitoring performance and continuous improvements. Company management of power plant is difficult to make a decision for the continuous improvement, requires Performance Measurement Tools (PMT) to determine the performance of a gas engine power plant. PMT developed using Key Performance Indicator (KPI) that was defined through Forum Group Discussion (FGD) with different field of expertise in company and based on references and the weighting of KPI criterion that was developed by Analytic Hierarchy Process (AHP). This study has developed the weight of KPI that the weight of each criterion which will be used as a reference is Rank 1 – Power Output (MW) – PO (70.81%), Rank 2 – Heat Rate (Btu/kWh) – HR (14.91%), Operating Ratio (%) – OR (8.06%) and Rank 4 – Capacity Factor (%) – CF (6.22%).

scholarly journals Implementasi Metode Dempster Shafer Analytic Hierarchy Process Untuk Pemilihan Program Studi Calon Mahasiswa

2016 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Menur Wahyu Pangestika ◽  
Oky Dwi Nurhayati ◽  
Suryono Suryono
Keyword(s):  
Analytic Hierarchy Process ◽  
Pairwise Comparison ◽  
Software Selection ◽  
Prospective Students ◽  
Analytic Hierarchy ◽  
Study Program ◽  
Average Value ◽  
The University ◽  
Hierarchy Process ◽  
Selection Of

Methods Dempster Shafer Analytic Hierarchy Process is used to rank or sort information based on a number of criteria. DS/AHP advantage of Pairwise Comparison, Consistency Ratio, and Dempster Rule's of Combination, which is used to generate information systems in the form of a sequence of courses as consideration for the selection of majors for prospective students. The sample used in this study were 29 students of five faculty at the University of Diponegoro. The data used is the standard minimum value of each faculty and the average value of the semester report card 1-5 Mathematics, Indonesian, English, Biology, Chemistry, and Physics. Results of this study was the software selection study program that gives students the value of trust in each department. Testing the validity of the value of the accuracy of the system is done by comparing the majors were chosen with the recommendation majors produced by the system, resulting accuracy of 79.33%.

APPLICATION OF ANALYTIC HIERARCHY PROCESS IN MULTI-OBJECTIVE MIXED INTEGER PROGRAMMING FOR AIRLIFT CAPACITY PLANNING

2006 ◽  
Vol 23 (01) ◽  
pp. 61-76 ◽  
Author(s):  
BARRY STANNARD ◽  
SAJJAD ZAHIR ◽  
EARL S. ROSENBLOOM
Keyword(s):  
Integer Programming ◽  
Analytic Hierarchy Process ◽  
Mixed Integer Programming ◽  
Capacity Planning ◽  
Parallel Machines ◽  
Mixed Integer ◽  
Planning Problem ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Hierarchy Process

The analytic hierarchy process is combined with multi-objective mixed integer programming to determine the optimal allocation of a limited number of aircraft among a group of airlift users with varying levels of priority and length of usage. Canadian Forces airlift planners typically encounter such a capacity planning problem. The solution to this problem requires the constrained assignment of n variable length missions (tasks) integrating hundreds of airlift requests from several users with many priorities to m airframes (parallel machines).

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