ORiON
https://www.ajol.info/index.php/orion
<p><em>ORiON</em> is the official journal of the <strong><em>Operations Research Society of South Africa (ORSSA)</em></strong> and is <em>published biannually</em>. Papers in the following categories are typically published in ORiON:<br>• Development of new theory, which may be useful to operations research (OR) practitioners, or which may lead to the introduction of new methodologies or techniques.<br>• OR success stories, which describe demonstrably successful applications of OR within the Southern African context (at the developing/developed economy interface) or similar environments elsewhere.<br>• OR case studies, which might not be “success stories,” but which emphasize novel approaches or describe pitfalls in the application of OR.<br>• OR methodological reviews, which survey new and potentially useful methodological developments, aimed at OR practitioners especially in Southern Africa.<br>The above list is by no means exhaustive.</p> <p>More information about the journal can be found at <a title="http://orion.journals.ac.za/pub" href="http://orion.journals.ac.za/pub" target="_blank" rel="noopener">http://orion.journals.ac.za/pub</a> and <a title="http://www.orssa.org.za/wiki/pmwiki.php?n=Main.ORiON" href="http://www.orssa.org.za/wiki/pmwiki.php?n=Main.ORiON" target="_blank" rel="noopener">http://www.orssa.org.za/wiki/pmwiki.php?n=Main.ORiON</a></p> <p><strong>Popular ORiON Publication Topics/Subjects</strong><br>• Arrival processes, queuing theory and applications<br>• Assignment, allocation and timetabling problems<br>• Conflict resolution and multi-criteria decision analysis<br>• Data mining, forecasting, statistical analysis and applications<br>• Decision support and decision making<br>• Demand, logistics and supply chain analysis<br>• Elections, government and development<br>• Financial investments, risk analysis and portfolio optimisation<br>• Graph & network theory and applications<br>• Inventory control theory and management<br>• Knapsack, packing and cutting problems<br>• Metaheuristics (e.g. genetic algorithms, tabu searches, simulated annealing)<br>• Mathematical (linear, nonlinear, integer, goal, dynamic) programming<br>• Natural resource management and conservation ecology<br>• Philosophy, history, marketing and teaching of OR<br>• Production management and project scheduling<br>• Reliability, repairability and availability<br>• Theoretical and computer simulation<br>• Transportation networks, vehicle routing and variations of the travelling salesman problem</p>ORSSAen-USORiON0259-191X<p>The following license applies:</p><p><strong>Attribution CC BY</strong></p><p>This <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">license</a> lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation.</p>A grid-based humanitarian logistics solution
https://www.ajol.info/index.php/orion/article/view/229189
<p>Natural disasters often cause large-scale destruction and many studies focus on the support and evacuation of disaster victims. During a disaster, timely provision of relief items, such as medical supplies, is a critical task and is considered one of the fundamental functions in a humanitarian logistics chain. However, many practical problems and challenges often occur that make the smooth operation of humanitarian logistic functions a difficult and sometimes impossible task. One such problem is the accessibility to disaster areas where roads, railway lines and other transport routes have been demolished and which causes residents or other victims to be cut off from any assistance. In the event that no or little infrastructure exists, humanitarian workers must find new and innovative ways of reaching people in need. In this paper, a grid-based maze that can be solved to find optimal traversable routes in a disaster area is proposed. A matrix maze generation approach is suggested that can be solved by the Lee algorithm to find an optimal route. To illustrate the proposed methodology, a software solution was developed and applied to a real- world case study. The results obtained confirm that the proposed methodology, combined with the Lee algorithm as a solution strategy, delivers useful and accurate results that humanitarian workers may utilise to assist with the evacuation of victims and the transportation of relief items. </p>T. OlivierH. Kruger
Copyright (c) 0
2022-08-032022-08-033811–281–28Development of an early career academic supervisor in Statistics - A discussion towards a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229193
<p>This discussion paper delves into the current state of academic Statistics in South Africa, specifically the development of an early career academic supervisor in Statistics. The discussions held by the authors on this topic since 2020 have resulted in clear need for action by early career academics in Statistics. This discussion paper motivates a solution involving a guiding rubric for the doctoral thesis coupled with an active early career supervisor network across South Africa.</p>I. Fabris-RotelliM.J. von MaltitzA. SmitS. DasD. RobertsG. MaribeD. MaposaF.M. Correa
Copyright (c) 0
2022-08-032022-08-0338129–5129–51Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229195
<p>No Abstract.</p>J.S. AllisonL. SantanaM. Smuts
Copyright (c) 0
2022-08-032022-08-0338153–5553–55Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229197
<p>No Abstract.</p>Y. Chhana
Copyright (c) 2022
2022-08-032022-08-0338157–5957–59Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229210
<p>This article provides commentary on the article titled Development of an early career academic supervisor in Statistics: A discussion on a guiding rubric. The article aims to address the some of the main points raised and provide an overview of a current blueprint of how these can be implemented.</p>J du Pisanie
Copyright (c) 0
2022-08-032022-08-0338161–6461–64Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229211
<p>No Abstract.</p>L.P. Fatti
Copyright (c) 0
2022-08-032022-08-0338165–6765–67Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229212
<p>No Abstract.</p>J. LarneyM. Gericke
Copyright (c) 0
2022-08-032022-08-0338169–7269–72Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229213
<p>No Abstract.</p>S.M. MillardF.H.J. Kanfer
Copyright (c) 0
2022-08-032022-08-0338173–7673–76Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229214
<p>No Abstract.</p>T. SandrockJ. Nienkemper-SwanepoelD.W. Uys
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2022-08-032022-08-0338177–8277–82Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229215
<p>No Abstract.</p>Gary Sharp
Copyright (c) 0
2022-08-032022-08-0338183–8683–86Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric
https://www.ajol.info/index.php/orion/article/view/229216
<p>No Abstract.</p>J. van Appel
Copyright (c) 0
2022-08-032022-08-0338187–8987–89