ORiON https://orion.journals.ac.za/pub <p><strong>Aims &amp; scope</strong><br>ORiON is the official journal of the Operations Research Society of South Africa (ORSSA) and is published biannually. Papers in the following categories are typically published in ORiON:<br><em>&nbsp;- Development of New Theory</em>, which may be useful to operations research practitioners, or which may lead to the introduction of new methodologies or techniques.<br><em>&nbsp;- OR Success Stories</em>, which describe demonstrably successful applications of operations research within the Southern African context (at the developing/developed economy interface) or similar environments elsewhere.<br><em>&nbsp;- OR Case Studies</em>, which might not be "success stories", but which emphasize novel approaches or describe pitfalls in the application of operations research.<br><em>&nbsp;- OR Methodological Reviews</em>, which survey new and potentially useful methodological developments, aimed at operations research practitioners especially in Southern Africa.</p> <p>The above list is by no means exhaustive.</p> Operations Research Society of South Africa (ORSSA) en-US ORiON 0259-191X <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://orion.journals.ac.za/pub/article/view/713 <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> Hennie Kruger Copyright (c) 2022 ORiON 2022-06-30 2022-06-30 38 1 1 28 10.5784/38-1-713 Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/738 <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> Inger Fabris-Rotelli Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 29 51 10.5784/38-1-738 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/718 <p>Comments</p> James Allison Copyright (c) 2022 ORiON 2022-06-30 2022-06-30 38 1 10.5784/38-1-718 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/729 <p>Comments</p> Yoko Chhana Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-729 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/730 <p>Comments</p> Johan du Pisanie Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-730 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/731 <p>Comments</p> Paul Fatti Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-731 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/732 <p>Comments</p> Janette Larney Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-732 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/733 <p>Comments</p> Sollie Millard Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-733 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/734 <p>Comments</p> Trudie Sandrock Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-734 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/736 <p>Comments</p> Gary Sharp Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-736 Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/737 <p>Comments</p> Jacques van Appel Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-737 Rejoiner: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric https://orion.journals.ac.za/pub/article/view/739 <p>Rejoiner</p> Inger Fabris-Rotelli Copyright (c) 2022 ORiON 2022-07-01 2022-07-01 38 1 10.5784/38-1-739