Conference Proceedings (Industrial Engineering)
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Browsing Conference Proceedings (Industrial Engineering) by Author "Bekker, James"
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- ItemDevelopment and demonstration of a customer super-profiling tool to enable efficient targeting in marketing campaigns(South African Institute for Industrial Engineering, 2018) Walters, Marisa; Bekker, JamesENGLISH ABSTRACT: Being part of a competitive generation demands having good marketing policies to attract new customers as well as to retain existing customers. This research outlines a general methodology for segmentation of customers by using the model of Recency, Frequency and Monetary (RFM) to identify types of customers, and then predict their customer profiles, based on demographic and behavioural features. A few previous studies dealt with the question using non-aggregate customer data. We, however, also address the problem by using decision trees, something which has rarely been done before. We applied and demonstrated this tool on a large customer dataset and found useful results.
- ItemDevelopment of a data analystics-driven system for instant, temporary personalised discount offers(South African Institute for Industrial Engineering, 2018) Els, Zandaline; Bekker, JamesThe innovation of targeting customers with personalised discount offers has been incorporated into business strategies in order to ensure a competitive advantage amongst peers along with ensuring customer experience. In this article, a demonstrator model was developed which provides a holistic view of an individual customer’s behaviour in retail outlets. The demonstrator creates instant, temporary personalised discount offers based on the purchasing tendencies of that customer in retail outlets. The model illustrates the utilisation of customer behavioural data and data analytics to identify unique cross-selling and upselling opportunities to ultimately improve customer experience. This article also includes the architecture of the proposed model along with the results from the demonstrator model.
- ItemDevelopment of a demonstrator of big data analytics(South African Institute for Industrial Engineering, 2018) Butler, Rhett Desmond; Bekker, JamesBig Data Analytics is now not only being applied in the fields of science and business, but in healthcare and economic development, by organisations such as the United Nations. The research presented in this article provides a demonstration of developing a Big Data Analytics Demonstrator by integrating selected hardware and software. The components of such an analytics tool are presented, as well as the analysis of results of test data sets. Experience gained when setting up a proprietary data analytics suite is shared, and practical recommendations are made. The goal of this demonstrator is to illustrate that a system could be built to provide meaningful insights into a given dataset, by making use of free-to-use software, commodity hardware and leveraging machine learning to mine the data for these insights.
- ItemManaging customer experience using data analytics in a partnering venture(South African Institute for Industrial Engineering, 2018) Roos, Maryke; Bekker, JamesToday’s technologies are changing the physical, digital and biological worlds. This change impacts the economy and how industries operate. In the light of this, we ask how these changes can be incorporated into customer experience. To investigate this, a demonstrator was developed in which a customer’s activities are simulated on a full-scale partnering platform while the business data are captured and analysed. The focus is on the domain of travel, in which customers use several modes of transportation while engaging with various collaborating enterprises. This paper will discuss the results and findings obtained, showing how customer experience can be managed and improved with the use of data analytics in a partnering venture.
- ItemA real-time scheduling system for a sensorised job shop using cloud-based simulation with mobile device access(South African Institute for Industrial Engineering, 2018) Snyman, Stephan; Bekker, James; Botha, John-PieterScheduling is a challenge that continues to trouble management of the operational phase of the manufacturing life cycle and can be attributed to the complex, dynamic and stochastic nature of a manufacturing system. Computer simulation is often used to assist with scheduling, as it can sufficiently mimic complex, discrete, dynamic, stochastic processes. We propose and develop a prototype real-time simulation scheduling system for a sensorised factory, which is to serve as a decision support tool for real-time rescheduling of machine steps in a job shop.