On teaching assistant-task assignment problem: A case study

Güler, Mehmet Güray; Keskin, Muhammed Emre; Döyen, Alper; Akyer, Hasan

doi:10.1016/j.cie.2014.10.004

Cited by 13 publications

(8 citation statements)

References 15 publications

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“…Over the last two decades, many other mathematical and heuristic approaches have been proposed, each of them involving specific constraints related to the authors' institution. We mention in particular the work of Wang (2002) in Taiwan, Gunawan et al (2008) in Indonesia, Güler et al (2015) in Turkey, da Cunha Jr and de Souza (2018) in Brazil, and Domenech and Lusa (2016) in Spain.…”

Section: Concise Literature Reviewmentioning

confidence: 97%

“…We observe that as the number of tutors grow, the number of infeasible instances grow as well. Infeasibility is usually caused by the lower and upper limits on the number of tutoring hours per tutor, indicating that there can be an incentive to put constraints (3) in the objective function, as done in other works such as Al-Husain et al (2011) and Güler et al (2015).…”

Section: Experiments With Random Instancesmentioning

confidence: 98%

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Integer Linear Programming for the Tutor Allocation Problem: A Practical Case in a British University

Caselli¹,

Delorme²,

Iori³

2020

Preprint

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In the Tutor Allocation Problem, the objective is to assign a set of tutors to a set of workshops in order to maximize tutors' preferences. The problem is solved every year by many universities, each having its own specific set of constraints. In this work, we study the tutor allocation in the School of Mathematics at the University of Edinburgh, and solve it with an integer linear programming model. We tested the model on the 2019/2020 case, obtaining a significant improvement with respect to the manual assignment in use. Further tests on randomly created instances show that the model can be used to address cases of broad interest. We also provide meaningful insights on how input parameters, such as the number of workshop locations and the length of the tutors' preference list, might affect the performance of the model and the average number of preferences satisfied.

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Section: Concise Literature Reviewmentioning

confidence: 97%

Section: Experiments With Random Instancesmentioning

confidence: 98%

Integer Linear Programming for the Tutor Allocation Problem: A Practical Case in a British University

Caselli¹,

Delorme²,

Iori³

2020

Preprint

View full text Add to dashboard Cite

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“…The human resource allocation as a sub-problem in many real-life problems, such as in healthcare systems (Lanzarone and Matta, 2014), production systems (Nembhard and Bentefouet, 2015), timetabling problem (Güler et al, 2015), tourism and hotel management (Murakami et al, 2011), project management (Kyriklidis et al, 2014), maintenance management (Bennour et al, 2012), and too many others, considered by many scholars. Compared to facility-type resource, managing human-type resource is more challenging (Wibisono et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Recently, many researchers have focused on applying different methods to human resource allocation. In the early researches, in the optimisation of the human resources allocation, exact mathematical methods (Burke et al, 2007;Oussedik, 2007;Azimi et al, 2013;Borba and Ritt, 2014;Vilà and Pereira, 2014;Güler et al, 2015), heuristic and meta-heuristic methods (Moreira et al, 2015;Ammar et al, 2012;Mutlu et al, 2013;Gunawan and Ng, 2011;Wang et al, 2012b;Costa et al, 2012;Wang and Liu, 2010;Ornek and Ozturkm, 2016) and multi-agent-based systems (e Silva and Costa, 2013;Teixeira and Huzita, 2014;González et al, 2015) has been used previously. However, they rarely take to account the information of current and previous state of the operational performance of the organisational units, the knowledge of experts and the interactions between organisational units in the dynamic environment of organisation.…”

Section: Introductionmentioning

confidence: 99%

A model for optimal allocation of human resources based on the operational performance of organisational units by multi-agent systems

Khanizad

Montazer

2021

IJOR

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Optimal allocation of human resources is studied in this research. To solve the problem, a model of negotiation between intelligent agents is used in this study. Organisational units are considered as agents that seek for their benefits and use negotiation for human resources and job distribution. We firstly introduce operational performance level to find out how units can guarantee their performance. As a result, in this research, organisational decision making is managed in two levels by agents. In medium level, agents negotiate each other using optimal function to divide human resources optimally. Therefore, the final agreement will be distributed among the organisation using the special function developed for this reason. Results have shown that organisational units' operational performance is a good criterion for human resources distribution in organisation.

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“…The proposed GP model avoided assigning the same teaching assistant to the same task in consecutive years, that is, sticking a task to the teaching assistant. 6 To sum up, we can see that there are a lot of research on the application of AHP in teaching, and many scholars have analyzed the specific application methods. However, these studies are relatively one-sided and rarely analyze its application in health sports teaching.…”

Section: Introductionmentioning

confidence: 99%

The Development of Public Health Sports in Colleges and Universities Based on the Analytic Hierarchy Process

Xiong

Zhang

2021

Rev Bras Med Esporte

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With the increasing public attention to public health sports in colleges and universities, the development of public health sports urgently needs more scientific methods to be optimized. Based on this, this paper proposes to use AHP to optimize the design of public health sports in colleges and universities. Based on the simple analysis of the development of public health sports in colleges and universities and the application of AHP, this paper takes the healthy development of public health sports in colleges and universities as the guiding ideology, applies the analytic hierarchy process to course selection and student evaluation, gives different weights to the influencing factors of course selection and evaluation, and carries out simulation analysis with an example. The test results show that the application of AHP in public health sports can improve the effect of course selection and realize the diversity of teaching evaluation.

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On teaching assistant-task assignment problem: A case study

Cited by 13 publications

References 15 publications

Integer Linear Programming for the Tutor Allocation Problem: A Practical Case in a British University

Integer Linear Programming for the Tutor Allocation Problem: A Practical Case in a British University

A model for optimal allocation of human resources based on the operational performance of organisational units by multi-agent systems

The Development of Public Health Sports in Colleges and Universities Based on the Analytic Hierarchy Process

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