scholarly journals Deciding Optimum Size to Manage Scheduling for Institution

Author(s):  
Ank Phyu Win

<p>Teaching is essential for all education systems. Shifting the teaching schedule is also necessary to teachers in the university. Excellent time schedule improves the work effectively. To manage the time schedule, the student-teacher ratio is the important role. Student-teacher ratio is the number of students who attend a school or university divided by the number of teachers in the institution [1]. The purpose of this study is to decide the optimum size of teachers to teach in the university. Firstly, the required data are sought from the department of student affairs from University of Computer Studies (Sittway). Daily shift required teachers to teach are determined. They work five consecutive days and have two consecutive days off. Their five days of work can start on any day of the week and the schedule rotates. Then model the linear programming problem and solve this by using Simplex method (minimization case) or by using Excel solver.</p>

NASPA Journal ◽  
2004 ◽  
Vol 41 (2) ◽  
Author(s):  
Richard J. Herdlein

The scholarship of student affairs has neglected to carefully review its contextual past and, in the process, failed to fully integrate historical research into practice. The story of Thyrsa Wealtheow Amos and the history of the Dean of Women’s Program at the University of Pittsburgh,1919–41, helps us to reflect on the true reality of our work in higher education. Although seemingly a time in the distant past, Thyrsa Amos embodied the spirit of student personnel administration that shines ever so bright to thisd ay. The purpose of this research is to provide some of thatcontext and remind us of the values that serve as foundations of the profession.


2017 ◽  
Vol 27 (3) ◽  
pp. 563-573 ◽  
Author(s):  
Rajendran Vidhya ◽  
Rajkumar Irene Hepzibah

AbstractIn a real world situation, whenever ambiguity exists in the modeling of intuitionistic fuzzy numbers (IFNs), interval valued intuitionistic fuzzy numbers (IVIFNs) are often used in order to represent a range of IFNs unstable from the most pessimistic evaluation to the most optimistic one. IVIFNs are a construction which helps us to avoid such a prohibitive complexity. This paper is focused on two types of arithmetic operations on interval valued intuitionistic fuzzy numbers (IVIFNs) to solve the interval valued intuitionistic fuzzy multi-objective linear programming problem with pentagonal intuitionistic fuzzy numbers (PIFNs) by assuming differentαandβcut values in a comparative manner. The objective functions involved in the problem are ranked by the ratio ranking method and the problem is solved by the preemptive optimization method. An illustrative example with MATLAB outputs is presented in order to clarify the potential approach.


2016 ◽  
Vol 33 (06) ◽  
pp. 1650047 ◽  
Author(s):  
Sanjiv Kumar ◽  
Ritika Chopra ◽  
Ratnesh R. Saxena

The aim of this paper is to develop an effective method for solving matrix game with payoffs of trapezoidal fuzzy numbers (TrFNs). The method always assures that players’ gain-floor and loss-ceiling have a common TrFN-type fuzzy value and hereby any matrix game with payoffs of TrFNs has a TrFN-type fuzzy value. The matrix game is first converted to a fuzzy linear programming problem, which is converted to three different optimization problems, which are then solved to get the optimum value of the game. The proposed method has an edge over other method as this focuses only on matrix games with payoff element as symmetric trapezoidal fuzzy number, which might not always be the case. A numerical example is given to illustrate the method.


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