ORiON Pub Date : 2022-09-01 DOI: 10.5784/38-1-730

T. Sandrock

引用次数: 0

Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric 评论:一个早期职业生涯的学术导师在统计学的发展-一个指导原则的讨论

ORiON Pub Date : 2022-09-01 DOI: 10.5784/38-1-729

Yoko Chhana

引用次数: 0

Comments: Development of an early career academic supervisor in Statistics - a discussion on a guiding rubric 评论:一个早期职业生涯的学术导师在统计学的发展-一个指导原则的讨论

ORiON Pub Date : 2022-09-01 DOI: 10.5784/38-1-731

Paul Fatti

引用次数: 0

Methods of enhancing the MOO CEM algorithm 改进MOO - CEM算法的方法

ORiON Pub Date : 2022-01-01 DOI: 10.5784/38-2-706

James Bekker

{"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}

引用次数: 0

A mathematical model to select the optimal age group classified freestyle relay teams for a masters swimming competition 游泳大师赛自由泳接力赛最佳年龄组分组的数学模型

ORiON Pub Date : 2022-01-01 DOI: 10.5784/38-2-751

I. Fabris-Rotelli

引用次数: 0

Estimating the dependence parameter in bivariate extreme value statistics through a Bayesian approach 用贝叶斯方法估计二元极值统计中相关参数

ORiON Pub Date : 2022-01-01 DOI: 10.5784/38-2-752

A. Verster

引用次数: 1

A Column generation approach for product targeting optimisation within the banking industry ORiON: Product Targeting Optimisation 银行业产品目标优化的列生成方法ORiON:产品目标优化

ORiON Pub Date : 2022-01-01 DOI: 10.5784/38-2-750

Jean-Pierre van Niekerk

{"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}

引用次数: 0

Quantitatively modelling opinion dynamics during elections 对选举期间的民意动态进行定量建模

ORiON Pub Date : 2022-01-01 DOI: 10.5784/38-2-715

Michael Burke, C. Searle

{"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}

引用次数: 0

Energy Analysis via Value Stream Mapping: A case study of an Automotive Weld Plant 通过价值流图进行能源分析:以汽车焊接厂为例

ORiON Pub Date : 2021-12-01 DOI: 10.5784/37-2-688

Keshav Ramsunder, O. Olanrewaju

{"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}

引用次数: 1

Editorial to Volume 37(1) 第37卷(1)社论

ORiON Pub Date : 2021-06-29 DOI: 10.5784/37-1-703

J. Visagie

引用次数: 0

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