ORiON

A grid-based humanitarian logistics solution

Hennie Kruger — Thu, 30 Jun 2022 19:35:48 +0000

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.

Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric

Inger Fabris-Rotelli — Fri, 01 Jul 2022 00:00:00 +0000

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.

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James Allison — Thu, 30 Jun 2022 00:00:00 +0000

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Yoko Chhana — Fri, 01 Jul 2022 00:00:00 +0000

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Johan du Pisanie — Fri, 01 Jul 2022 00:00:00 +0000

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Paul Fatti — Fri, 01 Jul 2022 00:00:00 +0000

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Janette Larney — Fri, 01 Jul 2022 00:00:00 +0000

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Sollie Millard — Fri, 01 Jul 2022 00:00:00 +0000

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Trudie Sandrock — Fri, 01 Jul 2022 00:00:00 +0000

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Gary Sharp — Fri, 01 Jul 2022 00:00:00 +0000

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Jacques van Appel — Fri, 01 Jul 2022 00:00:00 +0000

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Rejoiner: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric

Inger Fabris-Rotelli — Fri, 01 Jul 2022 00:00:00 +0000

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