Doctor of Philosophy / The motivation for the research presented in this thesis stems from the recent availability of high frequency limit order book data, relative scarcity of studies employing such data, economic significance of transaction costs management, and a perceived potential of data mining for uncovering patterns and relationships not identified by the traditional top-down modelling approach. We analyse and build computational models for order submissions on the Australian Stock Exchange, an order-driven market with a public electronic limit order book. The focus of the thesis is on the trade implementation problem faced by a trader who wants to transact a buy or sell order of a certain size. We use two approaches to build our models, top-down and bottom-up. The traditional, top-down approach is applied to develop an optimal order submission plan for an order which is too large to be traded immediately without a prohibitive price impact. We present an optimisation framework and some solutions for non-stationary and non-linear price impact and price impact risk. We find that our proposed transaction costs model produces fairly good forecasts of the variance of the execution shortfall. The second, bottom-up, or data mining, approach is employed for trade sign inference, where trade sign is defined as the side which initiates both a trade and the market order that triggered the trade. We are interested in an endogenous component of the order flow, as evidenced by the predictable relationship between trade sign and the variables used to infer it. We want to discover the rules which govern the trade sign, and establish a connection between them and two empirically observed regularities in market order submissions, competition for order execution and transaction cost minimisation. To achieve the above aims we first use exploratory analysis of trade and limit order book data. In particular, we conduct unsupervised clustering with the self-organising map technique. The visualisation of the transformed data reveals that buyer-initiated and seller-initiated trades form two distinct clusters. We then propose a local non-parametric trade sign inference model based on the k-nearest-neighbour classifier. The best k-nearest-neighbour classifier constructed by us requires only three predictor variables and achieves an average out-of-sample accuracy of 71.40% (SD=4.01%)1, across all of the tested stocks. The best set of predictor variables found for the non-parametric model is subsequently used to develop a piecewise linear trade sign model. That model proves superior to the k-nearest-neighbour classifier, and achieves an average out-of-sample classification accuracy of 74.38% (SD=4.25%). The result is statistically significant, after adjusting for multiple comparisons. The overall classification performance of the piecewise linear model indicates a strong dependence between trade sign and the three predictor variables, and provides evidence for the endogenous component in the order flow. Moreover, the rules for trade sign classification derived from the structure of the piecewise linear model reflect the two regularities observed in market order submissions, competition for order execution and transaction cost minimisation, and offer new insights into the relationship between them. The obtained results confirm the applicability and relevance of data mining for the analysis and modelling of stock market order submissions.

Doctor of Philosophy / The motivation for the research presented in this thesis stems from the recent availability of high frequency limit order book data, relative scarcity of studies employing such data, economic significance of transaction costs management, and a perceived potential of data mining for uncovering patterns and relationships not identified by the traditional top-down modelling approach. We analyse and build computational models for order submissions on the Australian Stock Exchange, an order-driven market with a public electronic limit order book. The focus of the thesis is on the trade implementation problem faced by a trader who wants to transact a buy or sell order of a certain size. We use two approaches to build our models, top-down and bottom-up. The traditional, top-down approach is applied to develop an optimal order submission plan for an order which is too large to be traded immediately without a prohibitive price impact. We present an optimisation framework and some solutions for non-stationary and non-linear price impact and price impact risk. We find that our proposed transaction costs model produces fairly good forecasts of the variance of the execution shortfall. The second, bottom-up, or data mining, approach is employed for trade sign inference, where trade sign is defined as the side which initiates both a trade and the market order that triggered the trade. We are interested in an endogenous component of the order flow, as evidenced by the predictable relationship between trade sign and the variables used to infer it. We want to discover the rules which govern the trade sign, and establish a connection between them and two empirically observed regularities in market order submissions, competition for order execution and transaction cost minimisation. To achieve the above aims we first use exploratory analysis of trade and limit order book data. In particular, we conduct unsupervised clustering with the self-organising map technique. The visualisation of the transformed data reveals that buyer-initiated and seller-initiated trades form two distinct clusters. We then propose a local non-parametric trade sign inference model based on the k-nearest-neighbour classifier. The best k-nearest-neighbour classifier constructed by us requires only three predictor variables and achieves an average out-of-sample accuracy of 71.40% (SD=4.01%)1, across all of the tested stocks. The best set of predictor variables found for the non-parametric model is subsequently used to develop a piecewise linear trade sign model. That model proves superior to the k-nearest-neighbour classifier, and achieves an average out-of-sample classification accuracy of 74.38% (SD=4.25%). The result is statistically significant, after adjusting for multiple comparisons. The overall classification performance of the piecewise linear model indicates a strong dependence between trade sign and the three predictor variables, and provides evidence for the endogenous component in the order flow. Moreover, the rules for trade sign classification derived from the structure of the piecewise linear model reflect the two regularities observed in market order submissions, competition for order execution and transaction cost minimisation, and offer new insights into the relationship between them. The obtained results confirm the applicability and relevance of data mining for the analysis and modelling of stock market order submissions.

There is a gap in the research regarding applications of Lean tools in the wood fiber supply chain. A Value Stream Map (VSM) tool that focused on identifying Lean waste in logistic operations was developed and applied to three case study firms: a paper mill, a sawmill, and a logger. Using the VSM tool an absence of structured methods to select and assess suppliers was found, which promotes a fluctuating environment for suppliers. Therefore, a tool that implements a hierarchy system to categorize suppliers was developed, verified and validated. Through the use of the VSM implementation the author found a lack of information sharing between supply chain stakeholders, which causes a reactive environment for the industry. Improvements in wood flow planning, tract allocation, truck scheduling, and communication were projected as a future state of the system. The annual potential savings by implementing the projected improvements in the total cost were as follows for the paper mill, the sawmill, and the logger respectively: $306,232, $312,085, $756,504. As a result of the findings obtained through the VSMs, a supplier selection model was designed. The tool was implemented into software for the wood industry. The tool was then verified and validated. The verification process consisted of comparing the output through previously known results and was performed through seven interviews with different stakeholders. The appropriate application of the supplier selection tool improves the way in which companies in the wood industry select and assess their suppliers and guarantee that the best alternatives are selected. / Master of Science / In the wood fiber supply chain, integration between different parties within a supply chain has proven to be a difficult task. An innovative lean-logistics tool value-streamed map (VSM) was developed to evaluate the current and future state of a supply chain Once the tool was developed it was used to map the wood fiber supply chain, determine and measure key performance metrics, calculate the cost of logistics operations, and identify potential sources of waste. Three case studies representing common wood fiber supply chains were conducted to develop three current VSMs for selected value streams. The lack of communication between supply chain partners was determined to be the most significant source of waste in all three cases. Lack of communication could lead to idle equipment, unnecessary waiting times, excessive inventories, overproduction, and excessive transportation and movement. As a result of the findings obtained through the VSMs, which revealed the absence of structured methods to select and assess suppliers, a supplier selection model was designed. The tool was implemented into software for the wood industry. The tool was then verified and validated. The verification process consisted of comparing the output through previously known results and was performed through seven interviews with different stakeholders. The appropriate application of the supplier selection tool improves the way in which companies in the wood industry select and assess their suppliers and guarantee that the best alternatives are selected, thus increasing the chance of a successful relationship and increasing the value that the company gets from its supplier base.

Forward osmosis (FO) is an emerging technology for water treatment due to their ability to draw freshwater using an osmotic pressure gradient across a semi-permeable membrane. However, the lack of draw agents that could both produce reasonable flux and be separated from the draw solution at a low cost stand in the way of widespread implementation. This study had two objectives: evaluate the performance of three materials — peptone, carboxymethyl cellulose (CMC), and magnetite nanoparticles (Fe3O4 NPs) — as potential draw agents, and to use multi-criteria decision matrices to systematically prioritize known draw agents from literature for research investigation. Peptone showed water flux and reverse solute flux values comparable to other organic draw agents. CMC’s high viscosity made it impractical to use and is not recommended as a draw agent. Fe3O4 NPs showed average low fluxes (e.g., 2.14 LMH) but discrete occurrences of high flux values (e.g., 14 LMH) were observed during FO tests. This result indicates that these nanoparticles have potential as draw agents but further work is needed to optimize the characteristics of the nanoparticle suspension. Separation of the nanoparticles from the product water using coagulation was shown to be theoretically possible if only electrostatic and van der Waals forces are taken into account, not steric repulsion. If coagulation is to be considered for separation, research efforts on development of nanoparticle suspensions as FO draw agents should focus on development of electrostatically stabilized nanoparticles. A combination of Fe3O4 NP and peptone showed a higher flux than Fe3O4 NPs alone, but did not produce additive or synergistic flux. This warrants further research to investigate more combinations of draw agents to achieve higher flux than that obtained by individual draw agents. Potential draw agents were prioritized by conducting a literature review of draw agents, extracting data on evaluation criteria for draw agents developed over the past five years, using these data to rank the draw agents using the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS). The evaluation criteria used in the ranking matrices were water flux, reverse solute flux, replenishment cost, regeneration cost, and regeneration efficacy. The results showed that the top five ranked draw agents were P-2SO3-2Na, TPHMP-Na, PEI-600P-Na, NaCl, and NH4-CO2. The impact of the assumption made during the multi-criteria decision analysis process was evaluated through sensitivity analyses altering criterion weighting and including more criteria. This ranking system provided recommendations for future research and development on draw agents by highlighting research gaps.

Low Impact Development (LID) is a sustainable stormwater management approach that aims to control runoff close to its source, mimicking the natural hydrological processes such as infiltration and storage. It is being adopted by many cities, where its implementation is rapidly evolving. The LID practices are small-scale measures; therefore, they need to be widely implemented to impact significantly. The selection of LIDs depends on the land use and characteristics of the area of interest. This study focuses on residential LIDs. First, a systematic and bibliometric literature review is conducted on the residential LIDs articles published up to the year 2020; a total of 94 papers were found in the Web of Science. This review resulted that LID implementation in residential areas still needs to be investigated. To assist the City, engineers, and policy-makers in implementing the suitable LIDs for detached houses, a multi-criteria decision analysis framework incorporating a hydrological model is developed in this study. The commonly used LIDs were identified, which are rain gardens, permeable pavement, rain barrels, soakaways. Seven criteria were selected – runoff depth reduction rate, peak runoff reduction rate, installation cost, maintenance cost, retrofit cost, life cycle, and aesthetical view. For the properties of the single-detached house and LIDs, the standards of Credit Valley Conservation (CVC) and Toronto and Region Conservation Authority (TRCA) were followed. The proposed decision-making framework also was applied to a case study. This framework is still in the preliminary stage, thus holds the potential to convert into a tool that will be handy enough for the homeowners and consume less time. / Thesis / Master of Applied Science (MASc)

Cette thèse vise à contribuer à la compréhension des cycle de vie d’une opération humanitaire (HOLC). Gestion de la chaîne d'approvisionnement humanitaire (HSCM) dans un contexte de mise en perspective et dans l’objectif de proposer un modèle décisionnel qui s'applique aux phases de HOLC lors d’une situation réelle. Cela inclut la mise en oeuvre du modèle proposé pour concevoir et développer un outil d'aide à la décision afin d'améliorer les performances de la logistique humanitaire tant dans les opérations de secours nationaux qu’internationaux.Cette recherche est divisée en trois phases. La première partie vise à présenter le sens de l'étude ; la zone de recherche prise en compte pour la gestion de la chaîne d'approvisionnement (SCM) doit être clairement définie. La première phase consiste à clarifier et définir le HSCM HL, la gestion de la chaîne d'approvisionnement commerciale (CSCM) et le SCM, ainsi que la relation entre ces différents éléments. La gestion du cycle de vie du projet (PLCM) et les différentes approches sont également présentés. La compréhension de la différence entre la gestion du cycle de vie du projet (PLM) et la PLCM est également nécessaire, cela ne peut être abordé dans la phase de cycle de vie de l'opération humanitaire. De plus, les modèles Multiple-Criteria Decision Making (MCDM) et l’aide à la décision concernant le HL sont analysés pour établir le fossé existant en matière de recherche. Les approches MCDM qui mettent en oeuvre le système d'aide à la décision (DSS) et la manière dont le MAS a été utilisé dans le contexte HSCM sont étudiées.La deuxième phase consiste en la proposition d’un modèle décisionnel fondé sur l’approche MCDM à l'appui de la décision du décideur avant qu'il/elle prenne des mesures. Ce modèle prévoit le classement des alternatives concernant l'entrepôt, le fournisseur et le transport au cours des phases de HOLC. Le modèle décisionnel proposé est réalisée en 3 scénarios. I. La décision en 4phases HOLC – opération de secours internationale de la Croix-Rouge Française (CRF). II. La décision en3phases HOLC – opération nationale dela Croix-Rouge thaïlandaise (TRC). III. La décision au niveau de la phase de réponse HOLC – opération internationale du TRC dans quatre pays. Dans cette phase, le scénario I et II sont réalisés étape par étape au travers de calculs numériques et formules mathématiques. Le scénario III sera présenté dans la troisième phase. Pour établir trois scénarios, les données internes recueillies lors des entretiens avec le chef de la logistique de la Croix-Rouge Française, et le vice-président de la fondation de la Coix-Rouge thaïlandaise, seront utilisées. Les données externes proviennent de chercheurs qui sont des experts dans le domaine HL ou le champ du HSCM, de la littérature, et de sources issues des organismes humanitaires (documents d’ateliers, rapports, informations publiées sur leurs sites officiels).Dans la troisième phase, une application Internet multi-critères (decision support system MCDSS WB) mettant en oeuvre le modèle proposé est élaborée. Afin d'atteindre une décision appropriée en temps réel, le WB-MCDSS est développé sur la base d’un protocole client-serveur et est simple à utiliser. Le dernier mais non le moindre ; une application de validation du modèle est réalisée à l'aide de l'approche de l'analyse de sensibilité. / This thesis aims to contribute to the understanding of HOLC in context of the HSCM and to propose a decision model which applies to the phases of HOLC the decision making regarding a real situation . This include the implementation of the proposed model to design and develop a decision support tool in order to improve the performance of humanitarian logistics in both national and international relief operations.This research is divided into three phases; the first phase is to clarify and define HL among HSCM, commercial supply chain management (CSCM) and SCM and their relationship. Project Life Cycle Management (PLCM) approaches are also presented. The difference between project life cycle management (PLM) and PLCM is also required to distinguish a clear understanding which can be addressed in the phase of humanitarian operation life cycle. Additionally, the literature of Multiple-Criteria Decision Making (MCDM) models and existing decision aid system for HL are analyzed to establish the research gap. The MCDM approaches which implement the decision support system (DSS) and lastly how DSS has been used in the HSCM context.The second phase is to propose a decision model based on MCDM approaches to support the decision of the decision maker before he/she takes action. This model provides the ranking alternatives to warehouse, supplier and transportation over the phases of HOLC. The proposed decision model is conducted in 3 scenarios; I. The decision in 4-phase HOLC, international relief operation of French Red Cross (FRC). II. The decision on 3-phase HOLC, national operation by the Thai Red Cross (TRC). III. The decision on response phase HOLC, international operation by the FRC in four countries. In this phase, the scenario I and II are performed step by step though numerical calculation and mathematical formulas. The scenario III will be presented in the third phase.In the third phase, an application of web-based multi-criteria decision support system (WB-MCDSS) which implement the proposed model is developed. The web-based multi-criteria decision support system is developed based on the integration of analytical hierarchy process (AHP) and TOPSIS approaches. In order to achieve an appropriate decision in a real time response, the WB-MCDSS is developed based on server-client protocol and is simple to operate. Last but not least, a validation application of the model is performed using the sensitivity analysis approach.

The city of Brno has always been a center of Moravian wine. The new draft of wine center responds to this reality and represents the grandeur of wineries in its full glory. Respect for nature, love for traditions and love for order/system are the main aspects of the design. The proposal is essentially open to the public, however, the necessary modesty is preserved. Conversely taciturnity of production part of buliding holds the secrets of the deep traditions of Viticulture and Enology. Designed buildings are used for production, wine storage, administration associated with the production, tasting and selling wine, conferences, accommodation and, finally, wellness and other activities. The size of the building is the result of an optimal design that does not interfere with nearby historical buildings. The emphasis is on minimizing costs both during construction and during operation. Flor plan shape resembling the letter L is oriented towards the west courtyard. This raises a unique viticultural area court with a wide staircase. The amphitheater can be used for seasonal exhibitions, pilgrimages or feast of local entertainment. The yard is connected with the street Hlinky, which paraphrases the historic entrance portals into winecellars. The northern part of the building bites into the ground and connects the original winecellars with new facilities. Small narrow windows reflects the desired taciturnity, just as it was with winecellars in South Moravia for centuries.

Τα σύγχρονα πληροφοριακά συστήματα μάθησης τα οποία υποστηρίζουν εξ’ αποστάσεως εκπαίδευση, επιτρέπουν τη συστηματική διαχείριση του εκπαιδευτικού υλικού και υποστηρίζουν τις εκπαιδευτικές διαδικασίες των μαθημάτων. Τα συστήματα αυτά έχουν λειτουργικότητες όπως: η ανάρτηση ψηφιακού υλικού, η διεξαγωγή συζητήσεων, η ανάρτηση ασκήσεων-εργασιών, η πραγματοποίηση εξετάσεων και πολλές άλλες. Στόχος της συγκεκριμένης εργασίας είναι η διερεύνηση του χώρου των συστημάτων μάθησης τα οποία υποστηρίζουν εξ’ αποστάσεως εκπαίδευση καθώς επίσης και η παρουσίαση και η εφαρμογή μεθόδου αξιολόγησης τους, αξιολογώντας τα συστήματα σύμφωνα με μια λίστα λειτουργικών απαιτήσεων. Στο 1ο κεφάλαιο της διπλωματικής εργασίας γίνεται μια περιγραφή των βασικών εννοιών της εξ’αποστάσεως εκπαίδευσης καθώς επίσης και έννοιες που αφορούν τα συστήματα υποστήριξης μάθησης όπως:CBT, VLE, LMS, LCMS, CMS, Mobile Learning. Στο 2ο κεφάλαιο γίνεται μια επισκόπηση του χώρου των Συστημάτων Μάθησης Learning Course Management Systems (LCMS). Συγκεκριμένα γίνεται μία καταγραφή των χαρακτηριστικών των πιο δημοφιλών συστημάτων τόσο των εμπορικών όσο και των συστημάτων ανοικτού κώδικα με τη χρήση ενός κοινού template όπου καταγράφονται τα εξής στοιχεία: Κατασκευαστής, Σύντομη περιγραφή Λογισμικού, Πλεονεκτήματα (Δυνατά Σημεία ), Μειονεκτήματα (Αδυναμίες, Ελλείψεις), Πελατολόγιο, Τρέχουσα Έκδοση έτσι ώστε να μπορεί κάποιος εύκολα να τα συγκρίνει και να τα αξιολογήσει. Στο 3ο κεφάλαιο πραγματοποιείται ανάλυση απαιτήσεων ενός σύγχρονου συστήματος μάθησης έτσι ώστε να μπορεί να εφαρμοστεί η μεθοδολογία αξιολόγησης σε μια λίστα από χαρακτηριστικά-απαιτήσεις για τα συστήματα που παρουσιάζονται στο κεφάλαιο 2. Στο 4ο κεφάλαιο παρουσιάζεται η μεθοδολογία Αξιολόγησης των συστημάτων μάθησης η οποία στηρίζεται στη θεωρία της ασαφούς λογικής. Η συγκεκριμένη μεθοδολογία εφαρμόστηκε σαν μελέτη περίπτωσης για την αξιολόγηση συστημάτων εκπαιδευτικών δραστηριοτήτων προκειμένου να βρεθεί το πλέον κατάλληλο σύστημα για τις ανάγκες του Ελληνικού Ανοικτού Πανεπιστημίου. Τέλος στο κεφάλαιο 5 πραγματοποιείται η εφαρμογή της μεθοδολογίας αξιολόγησης μεταξύ των συστημάτων μάθησης και παρουσιάζονται τα αποτελέσματα- συμπεράσματα που εξάγονται από την εφαρμογή της μεθόδου ενώ στο τελευταίο κεφάλαιο (6ο ) παρουσιάζονται τα συμπεράσματα της εργασίας. / Modern learning information systems are designed to support distance education and have many features to support learning sequence such as: management of educational material, tools for uploading projects in several kinds (documents, multimedia files), many kinds of quizzes, grades management, forums, reports wiz and many others. The aim of this master thesis is the investigation of available learning course management systems(LCMS), requirements analysis for LCMS and presentation and implementation of an evaluation methodology for LCMS based on a requirements list. In the first chapter of this thesis, we describe the basic concepts and definitions of e-Learning, as well as concepts relating to learning support systems such as: CBT(Computer Based Training), VLE(Virtual Learning Environment), LMS(Learning Management Systems), LCMS(Learning Course Management Systems), CMS (Course Management Systems), Mobile Learning etc. The second chapter contains an investigation in the area of Learning Course Management Systems (LCMS). We used a common template in order to describe the features of the most popular LCMS (either Open Source or Commercial). The template contains features like: Small Description of any LCMS (Software Manufacturer and History, Active Users and Installations, Database Requirements, Web Server, Manufacturer Clients, Current Stable Version), Strengths of the Software, Weaknesses of the Software, Available Mobile Version. This features have been chosen in order to become easy the comparison and after that the evaluation of the systems. The third chapter contains requirements analysis of a modern learning course management system so that the evaluation methodology can be applied to a specified list of features-requirements for the systems presented in chapter 2. In the fourth chapter there is the presentation of the evaluation methodology which uses a multicriteria technical analysis which belongs to the field of methods of Multi-Criteria Group-based Decision Making Techniques, while uses methods of (intuitionistic) fuzzy logic. This method exports the results using a technique TOPSIS(Technique for Order Preference by Similarity to Ideal Solution). In this chapter there is the theoretical description of the methodology which has been implemented as a case study for evaluating learning management systems in order to find the most suitable system for the needs of the Hellenic Open University(HOU). In Chapter 5 we will find the implementation steps of the methodology in order to exclude the most suitable LCMS for HOU and the final results(list of Systems). We will also find the conclusions of the implementation of this method. Finally the last chapter (6th) presents the final conclusions of the whole thesis and the added value this thesis offers in this field of research .