ORiON https://www.ajol.info/index.php/orion <p><em>ORiON</em> 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 <em>ORiON</em>: • Development of New Theory, which may be useful to Operations Research practitioners, or which may lead to the introduction of new methodologies or techniques. • OR Success Stories, which describe demonstrably successful applications of Operations Research within the Southern African context (at the developing / developed economy interface) or similar environments elsewhere. • OR Case Studies, which might not be “success stories,” but which emphasize novel approaches or describe pitfalls in the application of Operations Research. • OR Methodological Reviews, which survey new and potentially useful methodological developments, aimed at Operations Research practitioners especially in Southern Africa. 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">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">http://www.orssa.org.za/wiki/pmwiki.php?n=Main.ORiON</a></p><p><span style="text-decoration: underline;"><strong>Online Submissions:</strong></span> Authors of new submissions are requested to use ORiON's online submission system. It is currently available at <a title="http://www.orssa.org.za/wiki/pmwiki.php?n=ORiON.Submission" href="http://www.orssa.org.za/wiki/pmwiki.php?n=ORiON.Submission" target="_blank">http://www.orssa.org.za/wiki/pmwiki.php?n=ORiON.Submission</a>. Not only does it ease the administrative burden of the editorial team, but authors can track the refereeing process of their submitted papers on the online system. Referees can also register and complete their referees' reports on this online system. Please contact the journal manager, Matin Kidd, if you need any assistance to use this new facility.</p> en-US <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> jaco.visagie@nwu.ac.za (Jaco Visagie) orion.oss.support@gmail.com (Elzanie Bothma) Mon, 06 Sep 2021 12:43:34 +0000 OJS 3.1.2.4 http://blogs.law.harvard.edu/tech/rss 60 Editorial https://www.ajol.info/index.php/orion/article/view/214034 <p>No Abstract.</p> Jaco Visagie Copyright (c) https://www.ajol.info/index.php/orion/article/view/214034 Mon, 06 Sep 2021 00:00:00 +0000 Estimating net ideal cycle time for body-in-white production lines https://www.ajol.info/index.php/orion/article/view/214036 <p>In the automotive industry, a Body-in-White (BIW) refers to the first step, the basic structure, in the production of a vehicle. Once a BIW production line has been built, the (maximum) capacity is fixed and throughput is therefore limited by the equipment specified during the design phase. The main metric used to inform the production line design is the Net Ideal Cycle Time (NICT). Unfortunately the state of practice to estimate the NICT is a basic heuristic that does not account for production variation. In this paper we challenge the current estimation approach by proposing an alternative that assumes actual production to follow a Weibull distribution. The proposed model is derived and estimated from empirical data. The results suggest that BIW production lines have traditionally been designed with too low a capacity, resulting in planned throughput rarely being achieved. On the other hand, increasing the design capacity implies higher initial investment. In this paper it is demonstrated that the higher investment required is offset by reduced losses, resulting in more reliable planning and returns.</p> W.C. Grobler, D.J. Kotze, J.W. Joubert Copyright (c) https://www.ajol.info/index.php/orion/article/view/214036 Mon, 06 Sep 2021 00:00:00 +0000 Vehicle routing decision support for a local retailer https://www.ajol.info/index.php/orion/article/view/214037 <p>One of the most challenging decisions that has to be made routinely by dispatch managers at distribution centres of warehousing and distribution businesses in the retail sector involves the assignment of delivery vehicles to service customers exhibiting demand for retail goods and the subsequent routing of these delivery vehicles to the various customers and back again. Perhaps surprisingly, these dispatch managers do not always use vehicle routing software to schedule goods deliveries to customers, instead often relying on teams of human schedulers who perform this task manually. The reason for not using such software is usually a perception that it may be difficult to integrate the software with existing enterprise resource planning systems already in use. In such cases, estimates of potential costs savings that may be brought about by appropriate software is often required before the dispatch department will risk the significant step towards investing in vehicle routing planning software. Dispatch managers may then employ these cost savings estimates in cost-benefit trade-off analyses. This paper contains a practical case study in which the potential cost savings of a vehicle routing optimisation approach are quantified for a large retail distribution centre in the South African Western Cape in a bid to support its decision as to whether or not to invest in vehicle routing planning software.</p> A.D. Shuttleworth, J.H. van Vuuren Copyright (c) https://www.ajol.info/index.php/orion/article/view/214037 Mon, 06 Sep 2021 00:00:00 +0000