This paper assesses the relationship between Social Networking Sites (SNS) and the effect of its excessive use on a user’s spelling capabilities and academic performance by using a single-factor, multi-level between subjects design (One-way ANOVA). The One way Anova was applied to SNS use (independent variable) and spelling and academic performance (dependent variables). Furthermore, the independent variable consists of three levels, a few times a month or never, a few times a week and every day. Out of a possible 107 respondents a total of 56 respondents, distributed across the various groups, completed the test. A spelling test together with the academic records was used as an instrument to measure their spelling capabilities. The findings suggest that students that make excessive use of SNS performed worse in the spelling test than students that do not make use of SNS or make use of SNS a few times a month. In addition, it is established that the SNS use has no effect on spelling. Conclusions from this study are that social networking sites have many various impacts on the youth, some being positive and others negative. Although the end result was that SNS do not “significantly” affect your spelling capabilities it is suggested that further research be carried out on this topic on a larger and more representative sample. / Dissertation (MA)--University of Pretoria, 2014. / tm2015 / Psychology / MA / Unrestricted

Lagerhantering anses vara en betydelsefull aktivitet som företag måste ta sig an, då förbättrade metoder kan ha direkt påverkan på resultatet. Produktallokering inom lagret är en av de vitala delarna inom lagerplanering. Detta arbete är en fallstudie där fallet är ett lager hos ett producerande företag med det övergripande syftet att undersöka hur en optimeringsmodell för lagerhantering kan hjälpa organisationer med dess lagerhantering genom att studera rådande processer och utifrån det skapa en optimeringsmodell för att beräkna optimal lagerallokering. Studien har utförts genom en mixad metod, uppdelad i en kvantitativ- och en kvalitativ fas, då forskning hävdar att nyckeln till framgång för effektiv lagerhantering är att matcha policyn med lagrets layout och de ordertyper som lagret hanterar, för att anpassa optimeringsmodellen utifrån det givna fallets policy, lagerlayout och ordertyper. I den första fasen genomfördes en processkartläggning för att bygga upp för optimeringens utformning. Den andra fasen gick ut om att matematiskt beskriva samma problemuppställning och modellera problemet på insamlad kvantitativ data. I processkartläggningsfasen identifierades de två differentieringskriterierna omsättning i enheten sålda paket och förädling i enheten produktionskostnad. Målet med utförd klassificering var att ta fram vilka unika produkter som bör behandlas differentierat och erhålla tilldelad lagring, vilket var en förbättringsmöjlighet funnen i nulägesbeskrivningen. Totalt togs det fram 93 produkter att placera ut på någon av de 220 lagringsplatserna med målet att minimera körsträckan med truck. Jämförelse av målfunktionsvärden mellan optimaluppsättning enlig modell och dagens uppsättning, påvisade en teoretisk besparing av antal körda meter på 35 %. Studiens resultat har påvisat att matematisk modellering och linjärprogrammering går att använda för lagerallokeringsproblem för att optimera produktallokeringen, där den matematiskmodellen baserats på fallspecifika egenskaper. Modellens resultat förväntas underlätta ett antal av de problem som noterats vid kartläggning av lagerhanteringsprocesserna. / Inventory management is considered to be an important activity that companies need to accomplish as improved methods directly can affect the final result. Product allocation within the warehouse is one of the vital parts of inventory management. This report is a case study where a warehouse of a manufacturing company is considered the case. The overall purpose is to investigate how a optimization model can help organizations with their inventory management, by first studying existing processes and based on that create the model to calculate optimal inventory allocation. The study has been conducted through a mixed method, divided into a quantitative and qualitative phase, as research claims that the key to the success of efficient inventory management is to match the layout of the warehouse case policy, stock layout and order types in order to customize the optimization model. In the first phase, a process mapping was conducted to build the optimization design. The second phase was based on mathematically describing the same problem setup, and then to model the problem with collected data. In the process-mapping phase, two differentiation criteria were identified as units sold packages and the unit production cost. The purpose of the classification was to identify which unique products that should be treated differently and receive assigned storage, which was an improvement opportunity found in the case description. A total of 93 products were placed on one of the 220 storage sites, with the aim of minimizing the mileage by truck. Comparison of target function values ​​between the optimal set-up model and the current set, demonstrated a theoretical saving of the number of driven meters of 35%. The study results have shown that mathematical modeling and linear programming can be used for inventory allocation problems to optimize product allocation, where the mathematical model is based on case-specific properties. The model's results are expected to facilitate a number of the problems noted in mapping inventory management processes.

Die heterogenen musealen Bestände (Text, Bild, gegenständliche Objekte) im Haus der Geschichte der Bundesrepublik Deutschland umfassen derzeit über 365.000 Objektbeschreibungen zeithistorischer Objekte. Auf der Basis des Open Source Indexierungssystems lingo wird eine automatische Indexierung entwickelt, die - aufsetzend auf den existierenden Rahmenbedingungen - normierte Beschreibungsmerkmale generiert und als Indexterme für das Retrieval zur Verfügung stellt. Zielvorstellung ist es, eine einheitliche Suche über die Objektbeschreibungen anhand der sprachlichen und semantischen Vereinheitlichung der Indexterme zu realisieren.

At first, the basics of microeconomics from the perspective of companies, effectiveness and methods of its measurement and the most important information on the distance function this thesis, are shown. It also contains the development of the Malmquist productivity index. The aim of this work is the description of this index and its components. Indicate how these values are calculated and what expressed. Secondary objectives are to introduce different variants of Malmquist indexes and their use. Four models are used for calculating individual components of the Malmquist productivity index. These are the DEA models, Aigner-Chu, Stochastic production frontiers and Stochastic activity analysis. The first three in this work are described in detail. In conclusion is an illustrative example of calculation Malmquist productivity index using DEA models. For the calculation I used the program Lingo.

Goal programming is an approach for solving decision problems. The aim of this doctoral thesis is to show the practical use of this approach for solving real problems. The first chapter brings a brief introduction to multicriteria decision making. The second chapter is devoted to goal programming, its history, theory, criticism and also to its practical applications. The third chapter deals with description of a model for optimisation of white mass production. This model utilises the goal programming principle to deal with measuring deviations of raw materials' composition. A part of this chapter is a presentation of OPTIPROT, an application that implements the mentioned model. In the fourth chapter there are described three mathematical models for timetabling at a department level; two multistage models and one complex model. All three models are formulated utilising goal programming. In this chapter there is also described an application that implements the complex model for timetabling.

The progress in information and communication technologies, together with scientific pro-gress in economics, statistics and operational research, influenced the rapid development of process understanding, and estimation and prediction of customer demand, in real-time revenue management. The aim of this work was the detailed description of the essential principles to be included in the business strategy in order to maximize revenue. Network revenue management models seek to maximize revenue when customers buy products with multiple sources. This concept was applied to the example of the aviation industry and a computing program was developed which could be generalized to other industries. This used a "hub-and-spoke" network and programs MS Excel, LINGO and VBA. The paper also describes the basic steps of revenue management that are repeated todetail the fore-casts and dynamically perform re-optimization of the required decisions, to specify the complete process in detail.

This thesis applies classical optimization problems such as assignment or set-covering problem on logical puzzles or brainteasers. Listed in the first part are mathematical model, description and typical example of each optimization problem used in this thesis. The second part contains these models applied to the particular brainteasers for example Sudoku or Einstein's Puzzle. Exercises are divided into simpler and more complex ones. There is specification, source and a described method of solution stated for each of them. The calculation examples use Lingo or MS Excel or both. The aim is to show the possibility to address logical puzzles and brainteasers with the use of optimization problems, and thus confirm the wide possibilities of using these models. These examples can clarify and diversify the curriculum.

Die heterogenen musealen Bestände (Text, Bild, gegenständliche Objekte) im Haus der Geschichte der Bundesrepublik Deutschland umfassen derzeit über 365.000 Objektbeschreibungen zeithistorischer Objekte. Auf der Basis des Open Source Indexierungssystems lingo wird eine automatische Indexierung entwickelt, die - aufsetzend auf den existierenden Rahmenbedingungen - normierte Beschreibungsmerkmale generiert und als Indexterme für das Retrieval zur Verfügung stellt. Zielvorstellung ist es, eine einheitliche Suche über die Objektbeschreibungen anhand der sprachlichen und semantischen Vereinheitlichung der Indexterme zu realisieren.