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TENNIS --- TASK AND PERFORMANCE ANALYSIS

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This study focuses on the aerodynamic model of A Vertical Axis wind turbine.

Vertical Axis Wind Turbine, Performance Analysis, --- Ingénierie, informatique & technologie > Ingénierie aérospatiale

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The increase in Greenhouse Gas (GHG) emissions due to shipping and its impact on
climate change is a concern for the maritime industry. Urgent steps are required to achieve
the International Maritime Organization (IMO) target of 50% GHG reduction by 2050.
The recent boom in digitalization of the shipping industry can be vital to improving
the energy efficiency of vessels. The high frequent operational data obtained from the
onboard sensors can be used to analyse the decrease in ship’s performance over time due
to aging and sufficient measures can be suggested timely to achieve the maximum possible
efficiency.
This master thesis investigates the performance of an intercontinental 14000 TEU
container vessel using high-frequency operational data. The operational data has been ob tained from University of Rostock server. Statistical outliers are removed using ISO19030
standards. Then this data is further filtered for different environmental and operational
conditions using simple filtering techniques and Machine Learning algorithms. Outputs
of both methods are compared with the design data to analyze the vessel’s performance
and the most suitable method is proposed. Moreover, the Energy Efficiency Operational
Indicator (EEOI) of the vessel is investigated over time. Results show that the perfor mance of the vessel is constant over the investigated time period. A good agreement has
also been found between the operational data with the design data.
Furthermore, this study also compares the performance of different machine learning
algorithms; Random Forrest, Decision Tree, Gradient Boosting, Multilayer Perceptron
and Least square methods over the filtered high-frequency data set. Blind testing results
show that the Random Forest algorithm has the best performance

Greenhouse Gas Emissions --- Vessel Performance Analysis --- Big Data Analytics --- Machine Learning --- Ingénierie, informatique & technologie > Ingénierie mécanique

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In an increasingly fast-moving automotive market, it is essential for car dealers to anticipate future consumer behaviour. In order to beat competitors, swift action is required. For this purpose, the management team of Discar Liège wishes to develop its control system by choosing the appropriate performance indicators, which will be decisive in order to make the right decisions. 
In this paper, the different steps followed to obtain a dashboard tree and efficient KPIs are described. Firstly, the control process and indicators currently in use are analysed. Secondly, the stakeholders’ needs and the causes of existing issues in terms of data representativeness are detected. Then, research is carried out in order to develop a control system and dashboards adapted to dealership and automotive world specificities. 
At the end of the study, recommendations to address existing problems are made. A process for producing and delivering dashboards, tailored to the current situation, is also suggested. Lastly, dashboard templates are proposed. 
The suggested KPIs should allow an early detection of the sector developments but must be continuously reviewed in order to be perfectly aligned with the Discar Group’s strategy.

Balanced Scorecard --- Car Dealership --- Control system --- Key Performance Indicators --- Management Dashboards --- Performance Analysis --- Processes --- Strategic Management System --- Strategy Map --- Sciences économiques & de gestion > Comptabilité & audit

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With Internet becoming the destination of choice for many consumers, online retailers cannot afford to become complacent about the impact that delivery management can have on their strategies. When it comes to competing in an increasingly overcrowded online environment, delivery can prove to be an important catalyst as it helps online retailers to provide an outstanding customer experience. This project-thesis focuses on the improvement of the delivery offering proposed by Clarins in order to enhance the customer experience. A better customer experience will normally lead to a better customer satisfaction which in turn will help to cultivate customer loyalty. 
In the first place, a review of the scientific literature is performed in order to prove that last-mile delivery is an important aspect of the e-Commerce business. Afterwards, reports about online customer preferences are gathered. The purpose is to gain insights into what the customers with regard to delivery. Today’s highly experienced and difficult-to-satisfy customers desire more convenient and faster delivery options, more control over the delivery, real time notifications, delivery windows, etc.
A first analysis focuses on the carriers’ performance reports. Obviously, this analysis is conducted to assess the performance of the carriers. It turns out that all the carriers performed relatively well. An interesting finding concerns the responsibility of the customers for the delivery delays. Most of the time they occurred because the customers were absent from home when the delivery person showed up. A benchmark analysis is also carried out to determine where Clarins stands vis-à-vis its main competitors in terms of delivery services. The outcome is rather mixed, in particular with regard to the prices and the variety of the delivery options.
Based on the customer preferences as well as on the analyses, recommendations are made. They include a change of carrier for France and the addition of new delivery options in the other countries. Propositions are also provided for parameters fully controlled by Clarins such as the price of the delivery options, a system of order tracking integrated on the websites. A chapter dedicated to last-mile delivery innovations is also included. Internet devenant la destination de choix pour beaucoup de consommateurs, les commerçants en ligne ne peuvent négliger l’impact de la gestion de la livraison sur leurs stratégies. Dans un environnement en ligne de plus en plus surpeuplé, la livraison s’avère être un catalyseur important puisqu’elle aide les commerçants à offrir une expérience client exceptionnelle. Ce mémoire-projet se concentre sur l’amélioration de l’offre proposée par Clarins en termes de services de livraison. En particulier, l’objectif est d’améliorer l’expérience client. Une meilleure expérience débouchera normalement sur une meilleure satisfaction participant à fidéliser les clients
Tout d’abord, une revue de la littérature scientifique est réalisée afin de prouver que la livraison au dernier kilomètre est un aspect important de l’e-Commerce. Ensuite, des rapports ayant trait aux préférences des consommateurs sont rassemblés. L’objectif est d’avoir un aperçu de ce que les clients attendent en ce qui concerne les services de livraison. Ces derniers exigent des modes de livraison plus pratiques et plus rapides, un meilleur contrôle sur la livraison, des notifications en temps réel, des fenêtres de livraison, etc. 
Deuxièmement, plusieurs analyses sont effectuées. La première se concentre sur les rapports mensuels de performance des transporteurs. Bien évidemment, cette analyse vise à évaluer leur performance qui s’est avérée relativement bonne. Une constatation intéressante concerne la responsabilité des clients pour certains retards de livraison. Ces derniers sont principalement imputés à l’absence du client de son domicile au moment de la livraison. Une analyse comparative est aussi réalisée afin de déterminer où Clarins se situe par rapport à ses principaux concurrents à propos des services de livraison. Le résultat est plutôt mitigé notamment en ce qui concerne les prix et la variété des options de livraison. 
En se basant sur les préférences des consommateurs ainsi que sur les analyses réalisées, des recommandations sont établies. Un changement de transporteur pour la France et un ajout de nouvelles options de livraison dans les autres pays sont notamment proposés. De plus, des suggestions sont fournies pour des paramètres entièrement gérés par Clarins tels que le prix des options de livraison et un système de suivi de commandes intégré sur les sites Internet

Last-mile delivery --- delivery options --- convenience --- carriers’ performance analysis --- benchmark analysis --- last-mile delivery innovations --- customer satisfaction --- customer loyalty --- customer experience --- 3PL --- carrier --- Livraison au dernier kilomètre --- options de livraison --- convenance --- analyse de performance des transporteurs --- analyse comparative --- innovations en matière de livraison au dernier kilomètre --- expérience client --- satisfaction client --- fidélité du client --- 3PL --- transporteur --- Sciences économiques & de gestion > Production, distribution & gestion de la chaîne logistique