This article provides commentary on the article titled Development of an early career academic supervisor in Statistics: A discussion on a guiding rubric . The article aims to address the some of the main points raised and provide an overview of a current blueprint of how these can be implemented.
{"title":"Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric","authors":"T. Sandrock","doi":"10.5784/38-1-730","DOIUrl":"https://doi.org/10.5784/38-1-730","url":null,"abstract":"This article provides commentary on the article titled Development of an early career academic supervisor in Statistics: A discussion on a guiding rubric . The article aims to address the some of the main points raised and provide an overview of a current blueprint of how these can be implemented.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77681124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper gives a comprehensive review of the landscape of academic Statistics against the backdrop of Statistics being in crisis in South Africa, with various challenges being identified within this setting. Challenges include the lack of senior researchers to act as mentors to younger academics in undertaking research supervision thus affecting effective and successful supervision of students; the difficulties in retaining students in postgraduate degrees given their high employability and competitive salaries offered by industry, and the need for consistent assessment of doctoral degrees given that the home faculty and assessment criteria across faculties may differ. Apart from highlighting these challenges, the paper seeks to re-think the present approaches in the supervision process for a doctoral degree in Statistics in South Africa. A novel solution is proposed through the construction and use of a guiding rubric to steer doctoral supervision and a research network in the discipline towards a position of strength.
{"title":"Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric","authors":"Yoko Chhana","doi":"10.5784/38-1-729","DOIUrl":"https://doi.org/10.5784/38-1-729","url":null,"abstract":"The paper gives a comprehensive review of the landscape of academic Statistics against the backdrop of Statistics being in crisis in South Africa, with various challenges being identified within this setting. Challenges include the lack of senior researchers to act as mentors to younger academics in undertaking research supervision thus affecting effective and successful supervision of students; the difficulties in retaining students in postgraduate degrees given their high employability and competitive salaries offered by industry, and the need for consistent assessment of doctoral degrees given that the home faculty and assessment criteria across faculties may differ. Apart from highlighting these challenges, the paper seeks to re-think the present approaches in the supervision process for a doctoral degree in Statistics in South Africa. A novel solution is proposed through the construction and use of a guiding rubric to steer doctoral supervision and a research network in the discipline towards a position of strength.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83581598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I have a few comments that I would like to make on this paper, which discusses a very important matter for academic statisticians as well as for the field of Statistics. Firstly, I wish to disagree with the statement that there is a “crisis” in Statistics in light of the increasing demand for statisticians, arising from the emergence of Data Science and more generally from Industry requiring “analytics”/Operations Research to help improve its processes; see [1]. Rather, it presents an opportunity for Statistics. It is not long ago that Statistics was not well known, and statisticians were mostly employed in academia or in government statistical services. As a result, Statistics was generally not seen by students as a career to focus on, and registration numbers were low.
{"title":"Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric","authors":"Paul Fatti","doi":"10.5784/38-1-731","DOIUrl":"https://doi.org/10.5784/38-1-731","url":null,"abstract":"I have a few comments that I would like to make on this paper, which discusses a very important matter for academic statisticians as well as for the field of Statistics. Firstly, I wish to disagree with the statement that there is a “crisis” in Statistics in light of the increasing demand for statisticians, arising from the emergence of Data Science and more generally from Industry requiring “analytics”/Operations Research to help improve its processes; see [1]. Rather, it presents an opportunity for Statistics. It is not long ago that Statistics was not well known, and statisticians were mostly employed in academia or in government statistical services. As a result, Statistics was generally not seen by students as a career to focus on, and registration numbers were low.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"129 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85757284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the increasing need to solve problems faster and with fewer resources, great emphasisis placed on optimisation. Many real-world problems require addressing more than oneobjective that are in conflict, as well as taking into consideration a number of practical restrictionsor constraints. The multi-objective optimisation using the cross-entropy method (MOOCEM) algorithm is one of many algorithms that addresses the need to solve multi-objectiveproblems effectively, but it has a number of limitations. This paper explores methods ofenhancing the MOO CEM algorithm in order to improve the efficiency and increase the functionalityof the algorithm, allowing for it to be applied to additional classes of problems.Three possible methods of enhancement were identified: using the beta distribution to improvesampling, adding functionality to solve constrained problems and, lastly, implementinga non-dominated sorting algorithm to solve problems with more than two objectives. Thenew algorithms incorporating these enhancements were developed and tested on benchmarkproblems. Subsequently, the results were analysed using standard performance indicatorsand compared to results produced by the original MOO CEM algorithm. The findings of thisstudy indicate that using the beta distribution improves sampling and therefore algorithmefficiency. Methods of handling constraints and solving problems with an increased numberof objectives were implemented successfully. Based on these results, a final algorithmimplementing the enhancements is presented.
{"title":"Methods of enhancing the MOO CEM algorithm","authors":"James Bekker","doi":"10.5784/38-2-706","DOIUrl":"https://doi.org/10.5784/38-2-706","url":null,"abstract":"With the increasing need to solve problems faster and with fewer resources, great emphasisis placed on optimisation. Many real-world problems require addressing more than oneobjective that are in conflict, as well as taking into consideration a number of practical restrictionsor constraints. The multi-objective optimisation using the cross-entropy method (MOOCEM) algorithm is one of many algorithms that addresses the need to solve multi-objectiveproblems effectively, but it has a number of limitations. This paper explores methods ofenhancing the MOO CEM algorithm in order to improve the efficiency and increase the functionalityof the algorithm, allowing for it to be applied to additional classes of problems.Three possible methods of enhancement were identified: using the beta distribution to improvesampling, adding functionality to solve constrained problems and, lastly, implementinga non-dominated sorting algorithm to solve problems with more than two objectives. Thenew algorithms incorporating these enhancements were developed and tested on benchmarkproblems. Subsequently, the results were analysed using standard performance indicatorsand compared to results produced by the original MOO CEM algorithm. The findings of thisstudy indicate that using the beta distribution improves sampling and therefore algorithmefficiency. Methods of handling constraints and solving problems with an increased numberof objectives were implemented successfully. Based on these results, a final algorithmimplementing the enhancements is presented.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72510295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study extends the research frontier of relay swim team selection. In particular, theextension is to select the optimum teams for a club competing at a masters competition. Themodel uses an integer optimisation routine to select several teams of different cumulativeages who fall into the age classification categories defined at masters level. Data analysed todemonstrate the method is based on the best times of masters competitors for a swimmingclub in South Africa.
{"title":"A mathematical model to select the optimal age group classified freestyle relay teams for a masters swimming competition","authors":"I. Fabris-Rotelli","doi":"10.5784/38-2-751","DOIUrl":"https://doi.org/10.5784/38-2-751","url":null,"abstract":"This study extends the research frontier of relay swim team selection. In particular, theextension is to select the optimum teams for a club competing at a masters competition. Themodel uses an integer optimisation routine to select several teams of different cumulativeages who fall into the age classification categories defined at masters level. Data analysed todemonstrate the method is based on the best times of masters competitors for a swimmingclub in South Africa.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90191277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating the dependence parameter in bivariate extreme value statistics through a Bayesian approach","authors":"A. Verster","doi":"10.5784/38-2-752","DOIUrl":"https://doi.org/10.5784/38-2-752","url":null,"abstract":"","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85144377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Product targeting optimisation within the financial sector is becoming increasingly complex as optimisation models are being exposed to an abundance of data-driven analytics and insights generated from a host of customer interactions, statistical and machine learning models as well as new operational, business, and channel requirements. However, given the expeditious change in the data environment, it is evident that the product targeting formulation cited throughout the literature has not yet been updated to align with the realistic modeling dynamics required by financial institutions. In this paper, an enhanced product targeting formulation is proposed that incorporates a large set of new modeling constraints and input parameters to try and maximise the economic profit generated by a financial institution. The proposed formulation ensures that the correct product is offered to the desired customers at the best time of day through their preferred communication medium. To solve the foregoing product targeting formulation, a novel column generation approach is presented that is capable of reducing problem complexity and in turn allowing for significantly larger problems to be solved to global optimality within a reasonable time frame.
{"title":"A Column generation approach for product targeting optimisation within the banking industry ORiON: Product Targeting Optimisation","authors":"Jean-Pierre van Niekerk","doi":"10.5784/38-2-750","DOIUrl":"https://doi.org/10.5784/38-2-750","url":null,"abstract":"Product targeting optimisation within the financial sector is becoming increasingly complex as optimisation models are being exposed to an abundance of data-driven analytics and insights generated from a host of customer interactions, statistical and machine learning models as well as new operational, business, and channel requirements. However, given the expeditious change in the data environment, it is evident that the product targeting formulation cited throughout the literature has not yet been updated to align with the realistic modeling dynamics required by financial institutions. In this paper, an enhanced product targeting formulation is proposed that incorporates a large set of new modeling constraints and input parameters to try and maximise the economic profit generated by a financial institution. The proposed formulation ensures that the correct product is offered to the desired customers at the best time of day through their preferred communication medium. To solve the foregoing product targeting formulation, a novel column generation approach is presented that is capable of reducing problem complexity and in turn allowing for significantly larger problems to be solved to global optimality within a reasonable time frame.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85078158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Political advertising has become overwhelmingly focused on online platforms, with ever-improving capabilities of tailored and targeted advertising to individuals. Modelling the effect of political propaganda on a voting population has become more prevalent in opinion dynamics research, which has become further enabled by the applications of computer simulation and data analysis. In this study we explore the effect of propaganda on a voting population. The agent-based model describes a population of voter agents who hold a political opinion using knowledge and emotion as their control variables. These variables are updated through agent interactions and political propaganda. The model is based on the emotion/information/opinion (E/I/O) approach which is applied to a grid-based and network population. Furthermore, the network is programmed to be partially dynamic, in that connections between disagreeing agents can be severed under certain conditions concerning the intimacy of agent relationships. This is performed with the intention of adding more flexibility to the model, whilst making it a more realistic representation of reality. The different network types are shown to produce varying proportions of metastable agent states from identical starting conditions, which can be used to represent real political situations and predict future change.
{"title":"Quantitatively modelling opinion dynamics during elections","authors":"Michael Burke, C. Searle","doi":"10.5784/38-2-715","DOIUrl":"https://doi.org/10.5784/38-2-715","url":null,"abstract":"Political advertising has become overwhelmingly focused on online platforms, with ever-improving capabilities of tailored and targeted advertising to individuals. Modelling the effect of political propaganda on a voting population has become more prevalent in opinion dynamics research, which has become further enabled by the applications of computer simulation and data analysis. In this study we explore the effect of propaganda on a voting population. The agent-based model describes a population of voter agents who hold a political opinion using knowledge and emotion as their control variables. These variables are updated through agent interactions and political propaganda. The model is based on the emotion/information/opinion (E/I/O) approach which is applied to a grid-based and network population. Furthermore, the network is programmed to be partially dynamic, in that connections between disagreeing agents can be severed under certain conditions concerning the intimacy of agent relationships. This is performed with the intention of adding more flexibility to the model, whilst making it a more realistic representation of reality. The different network types are shown to produce varying proportions of metastable agent states from identical starting conditions, which can be used to represent real political situations and predict future change.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"194 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72866197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the past few decades, Lean Manufacturing (LM) has been the pinnacle of strategies applied for cost and waste reduction. However as the search for competitive advantage and production growth continues, there is a growing consciousness towards environmental preservation. With this consideration in mind this research investigates and applies Value Stream Mapping (VSM) techniques to aid in reducing environmental impacts of manufacturing companies. The research is based on empirical observation within the Chassis weld plant of Company X. The observation focuses on the weld operations and utilizes the cross member line of Auxiliary Cross as a point of study. Using various measuring instruments to capture the emissions emitted by the weld and service equipment, data is collected. The data is thereafter visualised via an Environmental Value Stream Map (EVSM) using a 7-step method. It was found that the total lead-time to build an Auxiliary Cross equates to 16.70 minutes and during this process is emitted. It was additionally found that the UPR x LWR stage of the process indicated both the highest cycle time and carbon emissions emitted and provides a starting point for investigation on emission reduction activity. The EVSM aids in the development of a method that allows quick and comprehensive analysis of energy and material flows. The results of this research are important to practitioners and academics as it provides an extension and further capability of Lean Manufacturing tools. Additionally, the EVSM provides a gateway into realising environmental benefits and sustainable manufacturing through Lean Manufacturing.
在过去的几十年里，精益制造(LM)已经成为降低成本和浪费的策略应用的顶峰。然而，随着对竞争优势的追求和生产增长的继续，人们对环境保护的意识日益增强。考虑到这一点，本研究调查并应用价值流映射(VSM)技术来帮助减少制造公司对环境的影响。本研究基于对x公司底盘焊接车间的实证观察，观察的重点是焊接作业，并以辅助十字的交叉构件线为研究点。使用各种测量仪器捕捉焊接和服务设备排放的气体，收集数据。数据随后通过环境价值流图(EVSM)可视化，采用7步方法。据发现，总前置时间，以建立一个辅助十字相当于16.70分钟，并在此过程中排放。研究还发现，该过程的UPR x LWR阶段表明了最高周期时间和碳排放量，为减排活动的研究提供了一个起点。EVSM有助于开发一种方法，可以快速全面地分析能量和物质流。这项研究的结果对实践者和学者都很重要，因为它提供了精益制造工具的扩展和进一步的能力。此外，EVSM提供了一个通过精益生产实现环境效益和可持续生产的门户。
{"title":"Energy Analysis via Value Stream Mapping: A case study of an Automotive Weld Plant","authors":"Keshav Ramsunder, O. Olanrewaju","doi":"10.5784/37-2-688","DOIUrl":"https://doi.org/10.5784/37-2-688","url":null,"abstract":"Over the past few decades, Lean Manufacturing (LM) has been the pinnacle of strategies applied for cost and waste reduction. However as the search for competitive advantage and production growth continues, there is a growing consciousness towards environmental preservation. With this consideration in mind this research investigates and applies Value Stream Mapping (VSM) techniques to aid in reducing environmental impacts of manufacturing companies. The research is based on empirical observation within the Chassis weld plant of Company X. The observation focuses on the weld operations and utilizes the cross member line of Auxiliary Cross as a point of study. Using various measuring instruments to capture the emissions emitted by the weld and service equipment, data is collected. The data is thereafter visualised via an Environmental Value Stream Map (EVSM) using a 7-step method. It was found that the total lead-time to build an Auxiliary Cross equates to 16.70 minutes and during this process is emitted. It was additionally found that the UPR x LWR stage of the process indicated both the highest cycle time and carbon emissions emitted and provides a starting point for investigation on emission reduction activity. The EVSM aids in the development of a method that allows quick and comprehensive analysis of energy and material flows. The results of this research are important to practitioners and academics as it provides an extension and further capability of Lean Manufacturing tools. Additionally, the EVSM provides a gateway into realising environmental benefits and sustainable manufacturing through Lean Manufacturing.","PeriodicalId":30587,"journal":{"name":"ORiON","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91030200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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