Browsing by Author "Van Eeden, Joubert"
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- ItemBest practices for demand-driven supply chain management in public healthcare sector : a systematic literature review(Southern African Institute for Industrial Engineering, 2020-08-31) Bvuchete, M.; Grobbelaar, Sara Saartjie; Van Eeden, JoubertENGLISH ABSTRACT: Healthcare supply chains ensure that there is a cost-effective availability of medicines at healthcare facilities. However, it appears that public healthcare supply chains in South Africa are experiencing significant challenges in the management and distribution of the right medicines, at the right time, and at the right cost. This has resulted in poor healthcare outcomes. Moreover, public health supply chains also face major challenges due to rising patient expectations and inefficiencies in supply chain operations. There is recent interest in increasing public health supply chain efficiency and improving patient services. To address these challenges and opportunities, other studies have suggested the transformation of healthcare supply chains from the current pure ‘push’ approach into a ‘pull’ approach, which is driven by actual customer demand (demand-driven supply chain management DDSCM). However, no guidelines exist to support the design of DDSCM in public healthcare supply chains. Therefore, through a systematic literature review, this study aims to distinguish the key success factors for the DDSCM approach from those of other industries, and subsequently develops a framework to guide the design of DDSCM for the public healthcare sector.
- ItemA concept demonstrator for self-organising demand-driven inventory management in pharmaceutical supply chains(South African Institute for Industrial Engineering, 2018) Du Plessis, Marno; Van Vuuren, Jan H.; Van Eeden, JoubertENGLISH ABSTRACT: Perennial stock-outs of essential medicines are commonplace in the pharmaceutical supply chains of developing countries. Stock-outs are mainly attributed to a general lack of collective information sharing in pharmaceutical supply chains. In this paper, a computerised agent-based simulation model concept demonstrator is proposed and demonstrated hypothetically as part of a larger drive to establish the value of leveraging information sharing in pharmaceutical supply chains with a view to enhance decision-making. The objective of this paper is to outline the prerequisite research inputs, design requirements and hypothetical implementation of the aforementioned demonstrator. The work reported on in this paper remains a work in progress.
- ItemDevelopment of a decision support system for assessing alternative agriculture land uses : a case study of the Stellenbosch wine region(South African Institute for Industrial Engineering, 2018) De Villiers, Jeanne-Mari; Bam, Wouter Gideon; Van Eeden, JoubertENGLISH ABSTRACT: The wine industry is accountable for 1.2 percent of the South African GDP. Financial margins of Stellenbosch wine estates have begun to shrink due to factors such as high production costs and increased competition. To be economically sustainable wine estates need to rethink their current business strategy and consider adopting a diversification strategy. This article identifies a holistic set of considerations that decision-makers in this industry need to evaluate when considering pursuing land use alternatives. It also considers how these factors can be used to develop a decision support system (DSS) to guide farmers through the decision-making process.
- ItemForecasting South African containers for international trade : a commodity-based approach(AOSIS OpenJournals, 2011-11) Havenga, Jan H.; Van Eeden, JoubertThe most common approach used internationally for forecasting international trade containers is models based on the correlation between container trade and economic growth. While the strong historical correlation is indisputable, this paper argues that there will be saturation in the propensity to containerise as all the suitable volumes of the underlying commodities shift to containers over time. In addition, the link between freight transport and GDP will decouple as more sustainable approaches to economic development, and therefore freight transport, are necessitated by economic and environmental realities. A commodity-based model, taking into account the underlying drivers of containerisation, is proposed here as a more realistic forecast of container demand. This could have a material impact on how large-scale investment decisions are directed.
- ItemA generic business model and management information system for quick ERP implementation in a project-driven SME(Stellenbosch : Stellenbosch University, 2002-12) Van Eeden, Joubert; Von Leipzig, Konrad; Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering.ENGLISH ABSTRACT: A demand exists in SMEs to implement an ERP system to provide intime transaction and management information to the employees and management respectively. The reason for this study developed from problems experienced in the past with ERP implementations. As a first step, a generic business model for project management in an SME was developed. This business model is based mainly on the PMBOK. Experienced project management consultants provided inputs for the business model. CAE accepted the business model after a few reviews. The business model was implemented in CAE and the employees trained to perform their daily tasks on Omuzik by using the processes suggested by the business model. The five main processes in the project management business model are Initiating, Planning, Executing, Controlling and Closing. The model is complete with inputs to the processes and the resulting outputs from them. The business model was implemented on Omuzik, and comments were included with every business process. Reports for project management were developed to provide in the information requirements of the project managers. The reports developed and deployed aim at providing detail and summary information to assist project managers in performing project control. The reports were developed and implemented and are currently used by the CAE project managers. The project management business model and reports fit into the bigger project for the complete enterprise with great success. The bigger project has completed the templates and is ready for the first fast implementation where the methodology will be tested.
- ItemHospital inventory management : a systematic review of the literature(South African Institute for Industrial Engineering, 2018) Higgo, Matthew Ray; Grobbelaar, Sara Saartjie; Van Eeden, JoubertHospitals and clinics provide an essential service to the populace, assisting people to overcome a range of ailments. In order to do so physicians are reliant on the tools and inventory they have at their disposal. When stock levels appear frighteningly low or even become depleted, physicians begin to order more than the ideal amount causing overstocking and consequently, wastage. This paper performs a systematic literature review in order to identify the causes for the unsatisfactory inventory management currently experienced in South African healthcare facilities.
- ItemIdentification of key target markets for intermodal freight transport solutions in South Africa(Journal of Transport and Supply Chain Management, 2010) Van Eeden, Joubert; Havenga, Jan H.The Accelerated and Shared Growth Initiative for South Africa (AsgiSA) identified South Africa’s freight logistics challenges as among the key binding constraints on the country’s growth aspirations. The research presented here points to the structural imbalance between road and rail freight transport as one of the key contributors to this state of affairs. Most long-distance corridor transport has been captured by road. However, longdistance transport is a market segment that is very suitable for intermodal transportation: rail is utilised for the high-density, long-distance component and road for the feeder and distribution services at the corridor end points. A market segmentation approach is developed to identify the corridors and industries that are natural candidates for such solutions, thereby paving the way for role-players and stakeholders to initiate a dialogue on the development of appropriate solutions
- ItemThe impact of the moratorium on the regulation governing vehicle height restriction : a South African high cube container case(Southern African Institute for Industrial Engineering, 2020) Adams, Tiffany Michelle; Goedhals-Gerber, Leila L.; Van Eeden, JoubertENGLISH ABSTRACT: The South African National Road Traffic Act stipulates a legal vehicle height of 4.3 metres. The standard flat deck trailer fleet used in South Africa, combined with the international standard high cube container stands at 4.5 metres, thus breaching this limit. The complexity of the transport system involves aspects of road infrastructure, transport haulage equipment, road safety, and export economies of scale, leaving this issue unresolved for a decade. A stakeholder analysis, industry survey, analytic hierarchy process method, and semi-structured interviews were conducted to determine the best outcome from a risk and financial perspective. The research outcome indicates that legislation should be adjusted.
- ItemA model for the translation of South African economic activity into shipping container demand(Stellenbosch : Stellenbosch University, 2018-03) Van Eeden, Joubert; Havenga, Jan H.; Schutte, Cornelius Stephanus Lodewyk ; Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering.ENGLISH ABSTRACT: Quay wall container forecasts are often done by broad-stroke methods with large-scale infrastructure decisions then based on these forecasts. This research problem requires an investigation into more accurate long-term forecasting methods. A mixed methods research design was followed, combining quantitative and qualitative data, with the primary objective to establish design requirements for and to develop a content-based quay wall container framework. Secondary objectives were to also establish design requirements for quay wall modelling frameworks for transhipment and empty containers. These secondary objectives originated from exposure to literature and data from the primary research. The aim of this dissertation was to redefine the importance and usefulness of content-based container forecasting techniques. This would enable port planners to base their container volume forecasts on economic activity, i.e. validated demand, and not on the perceived reality of historic containers or other broad indicators. The mixed method design combined literature on container modelling techniques, demand-side and supply-side container shipping factors and the impact of port networks on quay wall container volumes. The literature showed only a few scholars venturing into the field of high granularity container forecasting methods. Those that did propose methods used mostly derivatives of traded commodities like GDP, trade, or population growth as input drivers. Many scholars referred to, but very few used container contents in their modelling, mostly due to data unavailability. Rich secondary datasets received from various parties, i.e. TNPA, SARS, TFR and shipping lines, were all instrumental in understanding the relevant parameters. All datasets contributed in their own way to the development of the final set of parameters. To support this secondary data, primary research was conducted with freight owners, industry associations, LSP’s, shipping companies, port authorities and terminal operators via a survey and focus groups. Feedback from survey respondents and focus groups confirmed the user requirements identified earlier. It also confirmed the importance of the identified requirements and the inputs that were obtained from analysing container content data. Design requirements were consolidated from all the mixed methods research inputs. Key parameters to forecast full container volumes across the quay wall are: • Spatial disaggregation to define outputs per international geographic region and per port; • Rate of containerisation of each commodity; • Commodity port preference; • Physical container types; • Weight of commodity per physical container type. The container modelling frameworks and modelling process for three functional typologies, were developed based on the design requirements. The inputs, parameters, modelling process, forecasting influencers and outputs for each of the defined functional typologies were discussed separately with a confidence level for each of the aspects. The confidence levels provides an indication of the current status of the parameter values and provides guidance towards future improvement areas. The container modelling frameworks went through a verification and validation process. The proposed model is expected to provide a more accurate container forecast to port infrastructure planners. Using these drivers in forecasting models will inform port planners with validated demand towards calculated decisions on initiating port container infrastructure projects at the right moment in time.
- ItemA network maturity mapping tool for demand-driven supply chain management : a case for the public healthcare sector(MDPI, 2021-10-29) Bvuchete, Munyaradzi; Grobbelaar, Sara Saartjie; Van Eeden, JoubertThe healthcare supply chain is a complex adaptive ecosystem that facilitates the delivery of health products to the end patient in a cost-effective way. However, low forecast accuracy and high demand volatility in healthcare supply chains have resulted in an increase in stockouts, operational inefficiencies, poor health outcomes, and a significant increase in supply chain costs. To cope with these challenges, organisations are trying to adopt demand-driven supply chain management (DDSCM) operating practices which have been established in other sectors such as the telecommunications, fruit, and flower industries. However, previous studies have not considered these practices in the healthcare industry, and hence no methodologies exist that support the implementation of these practices in this context. Moreover, current studies present cases where the focus has been on improving and expanding individual organisational performance, but no supply chain network-level studies exist on the healthcare industry. Therefore, this paper provides a network-level analysis when addressing DDSCM in the healthcare industry. A grounded theory-based approach coupled with a conceptual framework analysis process was used to leverage a systematized literature review methodology with the development of a network maturity mapping tool for DDSCM which was validated in the public healthcare sector.
- ItemA performance measurement framework for the South African bulk export wine supply chain(AOSIS Publishing, 2017-09-28) Smit, Johan B.; Van Eeden, Joubert; Van Dyk, Frances E.Background: Many participants in the South African wine industry still exhibit low supply chain maturity in the management of their supply chains. This hampers export performance and ultimately client satisfaction. The development and tracking of appropriate metrics are key steps in improving supply chain performance. Objectives: The purpose of this study was to develop a performance measurement framework for the South African wine industry, focussing on the bulk export segment. Method: The framework was developed using an emergent multi-phased exploratory approach. The approach was implemented in two distinct phases, namely qualitative research followed by quantitative research in each of three iterations to develop and refine the framework. In each iteration, the qualitative research phase consisted of a literature survey, semi-structured and unstructured interviews and case studies, while the quantitative research phase consisted of the development, distribution, completion and analysis of the framework questionnaire, each iteration building on the framework outputs from the previous iteration. Results: The research highlighted that the wine supply chain performance of bulk exports is hindered by the lack of a measurement culture, hampering the identification and prioritisation of interventions. The creation of a performance measurement framework in conjunction with industry, and informed by the Supply Chain Operations Reference framework, creates a platform for the industry to address these challenges. Conclusion: The implementation of this framework will provide performance visibility for cellars in the wine industry. This would enable them to improve their logistics processes and increase their supply chain maturity, ultimately enabling benchmarking against competing supply chains both within South Africa and abroad, such as in Australia, Argentina and Chile.
- ItemA systematic review of 3PLS’ entry into reverse logistics(Southern African Institute for Industrial Engineering, 2018-11-08) Tombido, Locadia Linda; Louw, L.; Van Eeden, JoubertENGLISH ABSTRACT: The concepts of Industry 4.0 and closed loop supply chains are becoming popular as logistics management evolves. Industry 4.0, through its instruments such as cloud manufacturing and the Internet of Things, has been known to improve operations management significantly. At the same time, closed loop supply chains have gained momentum with the increase in environmental sustainability issues. However, closed loop supply chains are often associated with uncertainties in the timing, quality, and quantity of returns. For these and other reasons, most organisations employ third parties to perform most reverse logistics activities. This paper systematically reviews the literature on the entry and use of third parties in reverse logistics with the objective of providing researchers with future research directions for this fast-emerging topic. The results show that there is a need to expand on the literature and on managerial issues such as performance measurement of reverse logistics networks with third parties. The literature also needs to consider how third parties use technological aspects such as Industry 4.0 to manage and operate reverse supply chains successfully.