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South African Journal of Industrial Engineering

The South African Journal of Industrial Engineering publishes articles with the emphasis on research, development and application within the field of Industrial Engineering. In this way it aims to contribute to the further development of this field of study and to serve as a vehicle for the effective interchange of knowledge, ideas and experience between the research and training oriented institutions and the application oriented industry.
Publisher | South African Institute of Industrial Engineers (SAIIE) |
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Frequency | Bi-annually |
Coverage | Vol 13 Issue 1 2002 - current |
Accreditation(s) |
Department of Higher Education and Training (DHET) SciELO SA Science Citation Index (Web of Science (WoS) Core Collection) |
Language | English |
Journal Status | Active |
Collection(s) |
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Prevision and optimisation of repairable spare parts : a case study in the petroleum industry
This study was motivated by the high costs incurred by an energy company for repairable spare parts for faulty mission-critical items, particularly with those that operate until failure. The objective of this paper is to develop and apply a method for repairable spare part inventory management of run-to-failure equipment. To achieve a robust method that incorporates the data collected from previous failures, such as environmental factors and operating conditions, we propose an optimisation approach based on an accelerated failure time model. Accelerated failure time is used as a reliability regression model with covariates to describe different operational conditions. An algorithm is also developed to consider the repairable nature of the equipment, predicting the number of spare parts based on the expected number of failures in the period and the equipment repair cycle. The proposed method is applied using data from three different power units of electrical submersible pumps, a mission-critical item in oil production. The results show an average reduction of 60.6 per cent in the required number of spare parts, considering an average fill rate of 95.33 per cent. This reduction implies an estimated annual savings of around US$664,720 in inventory costs, considering the analysed units.
Die hoë kostes wat energiemaatskappye op die hals haal vir spaar onderdele vir kritiese items dien as motivering vir hierdie studie. Die doel is om ʼn metode wat die inventarisbestuur van herstelbare spaar onderdele te ontwikkel en toe te pas vir bedryf-tot-faling toerusting. Om ʼn robuuste metode wat vorige falingsdata inkorporeer te ontwikkel word ʼn optimisering benadering wat op ʼn versnelde falingstyd model gebaseer is gebruik. Versnelde falingstyd word gebruik as ʼn betroubaarheid regressie model met kovariate om die verskillende operasionele toestande te beskryf. ʼn Algoritme is ook ontwikkel om die herstelbaarheid van die toerusting in ag te neem en dit voorspel die aantal spaar onderdele op grond van die verwagte aantal falings in die periode en die toerusting herstelsiklus. Die voorgetelde metode is toegepas op data van drie verskillende aandrywingseenhede van elektriese dompelpompe. Die resultate toon dat ʼn gemiddelde vermindering van 60.6 persent in die aantal spaar onderdele wanneer ʼn gemiddelde vulsyfer van 95.33 persent oorweeg is. Die vermindering bewerkstellig ʼn jaarlikse besparing van ongeveer US$664,720 in inventaris onkostes vir die oorweegde pompeenhede.
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An exploratory case study to validate a method for investigating the role of PMOs in knowledge transfer
A conceptual model for the role of a project management office (PMO) in improving the usability of knowledge that is transferred between projects is proposed, and a method to investigate the role of PMOs in knowledge transfer is validated. The case of a PMO in a multinational engineering company was selected, and 24 codes within three themes were identified through qualitative data analysis of a semi-structured interview. Provisional support was found for three propositions related to three variables: the articulability of knowledge, the usability of knowledge, and the role of the PMO. The study fine-tuned a case study protocol for future investigation of the role of PMOs in improving the usability of knowledge that is transferred between projects.
’n Konseptuele model vir die rol van ’n projekkantoor in die verbetering van die bruikbaarheid van inligting wat tussen projekte oorgedra word, word voorgestel, en ’n metode om die rol van projekkantore in die oordrag van kennis te ondersoek is gevalideer. Die geval van ’n projekkantoor in ’n multinasionale ingenieursmaatskappy is gekies, en 24 kodes in drie temas is geïdentifiseer deur kwalitatiewe ontleding van ’n semi-gestruktureerde onderhoud. Voorlopige ondersteuning is gevind vir drie proposisies aangaande drie veranderlikes — naamlik, die artikuleerbaarheid van kennis, die bruikbaarheid van kennis, en die rol van die projekkantoor. Die studie het ’n gevalstudie protokol vir toekomstige ondersoek na die rol van projekkantore in die bruikbaarheid van kennis wat tussen projekte oorgedra word, verfyn.
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The value of a telemetry monitoring system in sustaining the operational performance of industrial information systems
Revolutionary advances in the information and communication technology field pave the way for automation and data exchange in the heavy industry sector. Currently, Industry 4.0 solutions are more readily accepted in factories and in more advanced economies, where good infrastructure is in place to facilitate these solutions. In the context of these heavy industries, wide-area wireless telemetry networks play an important role in facilitating accessibility and allowing for real-time monitoring and data transmission over wide geographical distances. This paper emphasises the value of a new wireless telemetry monitoring and diagnostic system that allows for the development of a detailed troubleshooting methodology when communication disruptions occur. The system was implemented on an existing telemetry system that is used by an energy services company to maintain the operational status of various remote information systems. The network is also used to facilitate various demand-side management projects throughout the Republic of South Africa. The results obtained show that the proposed system can enhance the robustness of existing Industrial Internet of Things infrastructure, and this promotes the adoption of Industry 4.0 concepts in the heavy industry sector.
Revolusionêre vooruitgang in die inligting- en kommunikasietegnologie-veld baan die weg vir outomatisering en data-uitruil in die swaar nywerheidsektor. Tans word oplossings van Industrie 4.0 makliker in fabrieke en in meer gevorderde ekonomieë aanvaar waar goeie infrastruktuur in plek is om hierdie oplossings te fasiliteer. In die konteks van hierdie swaar nywerhede speel wye draadlose telemetrie netwerke ’n belangrike rol om toeganklikheid te vergemaklik en vir intydse monitering en data-oordrag oor wye geografiese afstande voorsiening te maak. Hierdie manuskrip beklemtoon die waarde van ’n nuwe draadlose telemetrie monitering en diagnostiese stelsel om toe te laat dat ’n gedetailleerde probleemoplossingsmetodologie ontwikkel word wanneer kommunikasie-versteurings plaasvind. Die stelsel is geïmplementeer op ’n bestaande telemetrie stelsel wat gebruik word om die operasionele status van verskeie afgeleë inligtingstelsels te handhaaf. Die resultate het getoon dat die voorgestelde stelsel die robuustheid van bestaande ‘Industrial Internet of Things′-infrastruktuur kan verbeter, en dit bevorder die aanvaarding van Industrie 4.0 konsepte in die swaar nywerheidsektor.
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Demand forecasting for high-turnover spare parts in agricultural and construction machines: a case study
Conventional demand forecasting and inventory management models cannot be applied to replacement parts due to their intermittent and seasonal demand. Thus the aim of this study is to compare, in the case of the strategic stocking of high turnover replacement parts, the demand forecast model currently used by construction and agricultural machinery companies with the Box-Jenkins statistical model. The results show that it is important to use a methodology based on statistical techniques in inventory management, and that the proposed model adapts better to high turnover stock control.
Algemene vraagvooruitskattings en voorraadbestuursmodelle kan nie op vervangingsonderdele toegepas word nie as gevolg van hul onderbroke en seisoenale vraag. Die doel van hierdie studie is dus om, in die geval van strategiese voorraad van hoë omsetvervangingsdele, die vraag-voorspellingsmodel wat tans deur konstruksie- en landbou-masjineriemaatskappye en die Box-Jenkins statistiese model gebruik word, te vergelyk. Die resultate het getoon dat dit belangrik is om ‘n metodologie te gebruik gebaseer op statistiese tegnieke in voorraadbestuur, en dat die voorgestelde model beter aangepas is vir hoë omset voorraadbeheer.
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An agent-based simulation of an alternative parking bay choice strategy
Trying to find a parking space in a parking lot is a routine activity for most people in our society. However, in managing the sustained growth rate in the number of vehicle users, the demand on such parking facilities is likely to remain under constant pressure. Both the users and the management of parking lots use various strategies in dealing with the requirement for suitable parking facilities. This paper presents a computational model using an agent-based modelling technique to simulate two commonly used strategies applied to choosing a parking spot under various demand and supply conditions. The model is unique in the current literature, as it is specifically designed to evaluate the effectiveness of the strategies. The analysis of the experimental results shows that, in most conditions, accepting the first available parking spot and then walking to the destination performed better than driving as close as possible to the destination and then searching for an available parking spot.
Om ʼn parkeerplek op te spoor is ʼn roetine aktiwiteit vir die meeste mense in ons samelewing. Die bestuur van die volgehoue groeikoers in die aantal voertuiggebruikers plaas egter die vraag na parkeerfasiliteite onder volgehoue druk. Beide die gebruikers en die bestuur van parkeerterreine gebruik verskeie strategieë om die behoefte aan gepaste parkeerfasiliteite te hanteer. Hierdie artikel bied ʼn berekeningsmodel aan met ʼn agentgebaseerde modelleringstegniek om twee algemene parkeerplek-soek strategieë te simuleer onderhewig aan verskillende vraag en aanbod toestande. Die model is uniek in die beskikbare literatuur omdat dit spesifiek ontwikkel is om die doeltreffendheid van die strategieë te beoordeel. Ontleding van die eksperimentele resultate toon dat, in die meeste gevalle, die aanvaarding van die eerste beskikbare parkeerplek en dan te loop tot by die eindbestemming beter resultate lewer as om tot by die bestemming te ry en dan vir ʼn beskikbare parkeerplek te begin soek.
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The multi-period electric home healthcare routeing and scheduling problem with nonlinear charging
Electric vehicles (EVs) offer ideal opportunities to reduce the negative effects of transport. Demographic changes have led to an increase in the demand for home healthcare services and the transporting of healthcare staff. This paper is an attempt to introduce and address the multi-period electric home healthcare routeing and scheduling problem with nonlinear charging (E-HHCRSP-NL) to handle decisions such as allocating the EVs used by healthcare staff for clients based on their characteristics, determining the EV routes, tracking their charge state, and choosing the most convenient charging locations. The problem is solved using a newly developed hybrid evolutionary variable neighbourhood search algorithm (HE-VNS). The computational results of the newly created instances indicate the effectiveness of the proposed approach.
Elektries aangedrewe voertuie bied verskeie ideale geleenthede om die negatiewe gevolge van vervoer te verminder. Demografiese veranderinge het gelei tot ʼn toename in die vraag vir tuisversorging en die vervoer van gesondheidswerkers. Hierdie artikel poog om die multiperiode tuisversorging roetebepaling- en skeduleringsprobleem met nie-lineêre batterylaai aan te spreek. Die besluite wat geneem word sluit onder andere die allokering van elektries aangedrewe voertuie aan gesondheidswerkers, die bepaling van roetes, die monitor van die voertuie se laaitoestand en die kies van die gerieflikste batterylaai liggings. Die probleem is opgelos met die gebruik van ʼn nuwe hibriede-evolusionêre-veranderlike-buurt-soekalgoritme. Die resultate toon die effektiwiteit van die voorgestelde benadering.
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© Publisher: South African Institute of Industrial Engineers (SAIIE)

© Publisher: South African Institute of Industrial Engineers (SAIIE)