De nombreuses industries ont mené des recherches en vue de choisir la méthode appropriée afin d'améliorer les résultats, notamment Lean manufacturing et Six Sigma. Ce travail de thèse s’intéresse principalement à l’influence de l’implémentation de ces méthodes au sein des entreprises françaises, selon trois critères : financier, opérationnel et innovation. Les résultats de nos recherches montrent que les entreprises, appliquant Lean manufacturing et Six Sigma, sont plus efficacies pour l'amélioration des performances en matières financière et opérationnelle. Par ailleurs, les entreprises qui utilisent juste une partie des pratiques de Lean manufacturing et/ou de Six Sigma ont montré des améliorations limitées. En ce qui concerne le volet innovation, nous avons montré que l’implémentation de Lean manufacturing est suffisante pour avoir une amélioration des performances. En outre, nous avons constaté que les pratiques de Lean manufacturing et Six Sigma, telles que One Piece Flow, Kanban, 5S, etc. contribuent fortement à l’amélioration des performances. Les résultats statistiques montrent également que les facteurs clés, de la réussite de la mise en place de Lean et Six Sigma, peuvent être significativement différents selon la méthode. / Many industries conduct research in order to decide on the appropriate methodology for delivering optimal performance outcomes such as Lean Manufacturing or Six Sigma. Therefore, this research shows the influence of different categories based on the implementation method against three criteria: financial performance, operational performance and innovation performance. Research results indicate that companies implementing Lean Manufacturing and Six Sigma were more effective in improving company performance across financial and operational dynamics. Additionally, it shows companies who implemented Lean Manufacturing only saw improvements in innovation performance. Moreover, we found that Lean Manufacturing and Six Sigma practices such as One Piece Flow, Kanban, 5S, etc, supported increases in companies’ performance. The statistical results also show that the key factors for the success of Lean Manufacturing and Six Sigma implementation could differ depending on the method employed.

This report analyses and describes how the bid/no-bid decisions are made at one ICT service company. The analysis is based on current available research within the area of multi criteria decision analysis to enhance the company’s decision process. It proposes how the bid engagement decision can be structured and evaluated. Through a questionnaire at the ICT company, data from its own bids was collected to identify the factors perceived to be relevant to the bid/no bid decision. It is found that the factors can vary depending on industry, market and potentially bid situation, requiring experts’ assessment of which factors to use for each bid situation. Concluding the study, an initial bid model is proposed, but with reservations due to lack of validation in real life situations. A recommendation to expand the existing bid model with probability distribution based risk estimates is made.

The aim of this work is to create a functional specification of mobile application newly emerging asocial network for generating meetings with friends. Generating will be divided into two phases. In the first phase, we will use a mathematical model which will generate appointments with those friends that the user meets the least. In the second phase, we will use a mathematical model and multi-criteria decision making process for invitation of maximum number of friends to this meeting. Using graph theory, we will develope an algorithm which will optimize the computing system over all its users. And finally, we will define functionality for meeting friends in partner establishments in the city, which will use the principle of finding the shortest path.

The aim of this thesis is by using methods and practices of managerial decision-making process to choose suitable supplier and propose measures to reduce risk. The first section of the theoretical part deals with the different phases of the decision-making process. The second part is devoted to the procurement as one of the corporate functions. The practical part applies the managerial decision-making process on the current situation of a company producing fast moving consumer goods is looking for a new supplier of packaging material. Choice of supplier was performed by using a multi-criteria decision-making, first the decision criteria was defined, followed by a description of the alternatives and their consequences. Evaluation of the alternatives was based on the additive multi-criteria utility function, to determine the weights of the criteria was used method determining weights by preferential arrangements. From five potential vendors was recommended supplier A. The end of the practical part is devoted to proposals of measures to reduce the risk which company may face in the process of selection and also in the process of delivering of the material.

Mobile Ad hoc Networks (MANETs) are re-emerging as a popular networking facility for wireless device users. A growing number of diversified applications are now accessible via wireless devices. The different applications may have different Quality of Service (QoS) requirements, which may better be satisfied by using different routing methods or metric types. Existing ad hoc network routing solutions do not consider various application-level requirements when making a routing decision. They typically make routing decisions based upon limited information acquired at the network layer. Most of the existing routing protocols make use of a single routing metric. Using a single metric type and/or information, only acquired at the network layer may not be able to accommodate different QoS requirements, imposed by diversified user-level applications or application-level data types.The aim of this thesis is to design an efficient routing function for ad hoc networks while at the same time satisfying users‟ and/or applications‟ QoS and security requirements. To achieve this, the thesis investigates and specifies routing requirements that could best support application-level QoS and security requirements in MANETs. It also investigates and critically analyses the state of the art in MANET routing, and the mechanisms used for protecting the routing functions. To overcome the weaknesses and advance the state of the art in MANET routing, this thesis proposes two major solutions. The first solution is the Secure ETX (SETX) routing protocol. It is a secure routing solution that can provide routing functions efficiently in malicious MANET environment. The SETX protocol provides a security mechanism to counter black hole attacks in MANETs on the ETX metric acquisition process. Simulation studies have been carried out and discussed in the thesis. Simulation results show that the SETX protocol can provide a marked improvement in network performances in the presence of black hole attacks, and it can do so with a negligible level of additional overhead.The second solution is a novel routing decision making called the Flexible Routing Decision (FRD) framework. The FRD framework supports routing decision making by using multiple metric types (i.e. multi-criteria routing decision making) and uses a cross-layer approach to support application-level QoS requirements. This allows users to use different routing metrics types, making the most appropriate routing decision for a given application. To accommodate the diversified application-level QoS requirements, multiple routing metric types have been identified and interpreted in the FRD framework design. The FRD framework has overcome some weaknesses exhibited by existing single metric routing decision making, used in MANETs. The performance of a routing decision making of FRD is also evaluated using NS2 simulation package. Simulation results demonstrate that the FRD framework outperforms the existing routing decision making methods.

This thesis deals with specialized information systems for internet service providers. The aim of thesis is to compare specific information system of company Dupeto s.r.o. with an-other external systems. The first part of the thesis deals with the theoretical foundations, which is followed by the analysis of a market of this systems. After making choice of which systems are the propriet ones, the thesis gives a detailed description of these sys-tems. In conclusion there is a recommendation for Dupeto s.r.o. which system is the best for this company. This recommendation was achieved by the means of a multi-criteria de-cision making. This thesis is so helpful mainly for this company but it is helpful for other internet service providers too because it contains the analysis of the systems from various point of views.

Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-04-19T12:45:40Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação Renata Bib VF + Ficha Catalográfica.pdf: 1445099 bytes, checksum: df51246816f60be4bba2d6c27511f10a (MD5) / Made available in DSpace on 2016-04-19T12:45:40Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação Renata Bib VF + Ficha Catalográfica.pdf: 1445099 bytes, checksum: df51246816f60be4bba2d6c27511f10a (MD5) Previous issue date: 2015-08-24 / Diante da necessidade de alinhamento entre a estratégia corporativa, a estratégia de produção e as decisões tomadas no âmbito da função produção, neste trabalho é apresentada uma proposta de modelo de decisão para priorização de projetos na manufatura sob uma ótica multicritério para integrar os aspectos estratégicos relevantes que devem ser priorizados conforme a estratégia de produção. A literatura apresenta procedimentos que permitem a identificação e definição de uma estratégia de produção alinhada com os objetivos da estratégia corporativa e requisitos da manufatura, para que esta possa alcançar os níveis de desempenho requeridos para atender à estratégia corporativa. A partir de procedimentos encontrados na literatura, a proposta deste trabalho busca integrar através de um modelo de apoio multicritério a decisão a priorização de projetos no âmbito da função produção e demais funções de apoio tomando por base as prioridades identificadas na estratégia de manufatura ou de produção da empresa. A motivação para desenvolver um modelo que pudesse ser aplicável em diferentes contextos levou à proposição de um modelo multicritério de apoio a decisão através da estruturação de um framework que pode ser facilmente adaptado para viabilizar sua aplicação em empresas com diferentes particularidades e requisitos de desempenho em relação aos objetivos estratégicos de produção. Para ilustrar a proposta deste trabalho, é apresentado um estudo de caso tomando por base uma indústria de transformação de plástico situada no Agreste pernambucano. Através da aplicação do modelo proposto, os resultados obtidos através do método PROMETHEE II com apoio da metodologia ROC indicam a prioridade entre os projetos para a manufatura e validam o modelo. / Due to the need of alignment amongst the corporate strategy, manufacturing strategy and the decision made within the system’s production function, this work presents a proposal for a decision model for establishing priorities over projects for manufacture considering multiple criteria to integrate strategic aspects, which should be prioritized according to the manufacturing strategy. The literature offers procedures that allow identifying and defining a manufacturing strategy aligned with the objectives defined in the corporate strategy considering manufacture requisites in order to achieve the required performance levels that shall meet the corporate strategy. Based on the procedures found on the literature, this work seeks to integrate through an MCDM model the prioritization of projects for the system’s production function and support functions based on the priorities identified on the manufacturing strategy. The motivation to develop a model that could be suitable for different contexts lead to the proposition of an MCDM model through a framework that can be easily adapted to enable its application in different types of companies regarding its particularities and performance requisites. To illustrate the proposal of this work is presented a case study on a plastic transformation manufacture located in midlands of Pernambuco. Through the case study, it was possible to observe the regional needs for projects and techniques that enable a management, control and improvements in order to achieve higher levels of productivity and quality for example. From the proposed model application, the results obtained by means of the PROMETHEE II method and the ROC technique reflects the priorities amongst the manufacture projects.

This thesis deals with the optimization of structural details for flat single-leaf roofs. In the first part of the thesis, 3 groups of structural details for flat roof (flat roof parapet, gutter at flat roof without overhang of the roof cladding, intersection of the flat roof and vertical supporting structure) are characterized, classified and examined. In every group one of these structural details is designed with use of modern composite material based on secondary raw materials (still in development process). The theory describes the current issue of thermal bridges at constructions and applicable legislative documents. The next part introduces thermal engineering analysis (based on finite element method) of structures with annotated data outputs. The another main part of thesis provides with designed innovative optimization algorithm using multi-criteria decision analysis methods, which is then practically tested on the surveyed construction details. The conclusion summarizes the results and provides with improvements based on completed research.

Bike share system (BSS) has received increasing attention in research for its potential economic and environmental benefits. However, some research has pointed out the negative sustainability impacts of BSS from rebalancing activity, due to its greenhouse gas (GHG) emissions and additional vehicle travels. Additionally, bike and station manufacturing also bring considerable emissions to the system. Therefore, it is important to analyze the current rebalancing efficiency and sustainability of BSSs, and to assist the BSS operators in optimizing the BSS design. Existing studies lack tools to estimate the real-world rebalancing activities and vehicle usage for system sustainability evaluation and improvements. To address this gap, this research first proposed a framework to estimate rebalancing activities and applied a clustering-based method to estimate the rebalancing vehicle use. Applying the framework to the BSSs in Chicago, Boston, and Los Angeles, this study estimated the rebalancing operation and compared the rebalancing efficiencies among the three systems. The analysis results show that 1) only a small proportion of stations and bikes were involved in the daily rebalancing activities; 2) most rebalancing activities were operated during the daytime, while the overnight rebalancing was limited; 3) the system scale, trip demand, and station types are critical for the rebalancing efficiency; and 4) reducing the rebalancing activities at self-rebalance stations could help to improve the rebalancing efficiency and benefits system sustainability. Additionally, the sustainability performance (e.g., carbon emissions) of BSS is not only decided by the rebalance, but also the manufacturing of bikes and stations. It is important to consider all these factors when optimizing a BSS. The existing literature on system improvement for the BSSs lacks an integrated view, and a well-designed integrated model for current BSS improvement is needed. The second part of this thesis built a simulation-based optimization model and generated 2400 scenarios for evaluation. This model aims to minimize the expansion investment, rebalancing mileage, and maximize the system demand and service rate. A Weight Sum Model is applied to solve the multi-criteria decision analysis. The model results show that the best system improvement is to build a new station with a small capacity and initial bikes. The investment and location impacts are discussed to find the tradeoff among expansion strategies. A sensitivity analysis is conducted to evaluate how different weight combinations (refer to different preferences in decision making) impact the preferred station configuration (docks and bikes) and new station locations.

Ces dernières décennies, l'industrie en microélectronique s'est astreinte à suivre la loi de Moore pour améliorer la performance des circuits intégrés (Integrated Circuit, IC). Cependant, il sera sans doute impossible de suivre cette loi dans le futur à cause de limitations physiques apparaissant avec la miniaturisation des transistors en-dessous d'un certain seuil si aucune innovatio n'a lieu. Afin de surmonter ce problème, de nouvelles technologies ont émergées, et parmi elles les circuits 3D (3D-Stacked Integrated Circuit, 3D-SIC) ont été proposés pour maintenir l'évolution de la loi de Moore. Les 3D-SIC peuvent apporter de nombreux avantages dans le design des futurs IC mais au coût d'une complexité de design accrue étant donné leur nature fortement combinatoire, et l'optimisation de plusieurs critères conflictuels. Dans cette thèse, nous présentons une première étude des outils qui pourraient aider dans le design de 3D-SIC, en utilisant l'optimisation multi-objectifs (multiobjective optimization, MOO) et l'aide multicritère à la décision (multi-criteria decision aid, MCDA). Notre étude vise l'une des problématiques principales dans le design de 3D-SIC: le partitionnement avec estimation du floorplanning en tenant compte de plusieurs objectifs. Cette thèse montre que l'utilisation d'un paradigme multicritère peut fournir une analyse pertinente et objective du problème. Cela peut permettre une exploration rapide de l'espace de design et une amélioration des flots de conception actuels étant donné qu'il est possible de fournir des informations qualitatives et quantitatives par rapport à l'espace de design qui ne seraient pas disponibles avec les outils actuels. De même, de par sa flexibilité, la MOO peut tenir compte des multiples degrés de liberté des 3D-SIC, ce qui permet plus de possibilités de design qui ne sont généralement pas prises en compte avec les outils actuels. De plus, les algorithmes développés peuvent montrer des propriétés de robustesse même si le problème est complexe. Enfin, appliquer l'aide multicritère à la décision pourrait permettre aux designers de faire des choix pertinents selon un processus transparent. / In the past decades, the microelectronic industry has been following the Moore's law to improve the performance of integrated circuits (IC). However, it will probably be impossible to follow this law in the future due to physical limitations appearing with the miniaturization of the transistors below a certain threshold without innovation. In order to overcome this problem, new technologies have emerged, and among them the 3D-Stacked Integrated Circuits (3D-SIC) have been proposed to keep the Moore's momentum alive. 3D-SICs can bring numerous advantages in the design of future ICs but at the cost of additional design complexity due to their highly combinatorial nature, and the optimization of several conflicting criteria. In this thesis, we present a first study of tools that can help the design of 3D-SICs, using mutiobjective optimization (MOO) and multi-criteria decision aid (MCDA). Our study has targeted one of the main issues in the design of 3D-SICs: the partitioning with floorplanning estimation under multiple objectives. This thesis shows that the use of a multi-criteria paradigm can provide relevant and objective analysis of the problem. This can allow a quick design space exploration and an improvement of the current design flows as it is possible to provide qualitative and quantitative information about a design space, that would not be available with current tools. Also, with its flexibility, MOO can cope with the multiple degrees of freedom of 3D-SICs, which enables more design possibilities that are usually not taken into account with current tools. In addition, the developed algorithms can show robustness properties even if the problem is complex. Finally, applying multi-criteria decision aid would allow designers to make relevant choices in a transparent process. / Doctorat en Sciences de l'ingénieur / info:eu-repo/semantics/nonPublished