Svensk bostadsmarknad har länge präglats av en snedvriden konkurrens med en markant fördel till Sveriges kommunala allmännyttiga bostadsaktiebolag jämte de privata bostadsaktiebolagen. I syfte att utjämna existerande sektoriella diskrepanser och skapa en konkurrensneutral marknad med jämlika villkor för privata respektive kommunala bostadsaktiebolag, infördes per den 1:a januari år 2011, Lag (2010:879) om allmännyttiga bostadsaktiebolag. Lagen innebär för de kommunala bostadsaktiebolagen ett avsteg från den tidigare självkostnadsprincipen mot ett i högre grad affärsmässig agerande enligt vinstdrivande syfte. Denna studie avser utifrån sambandet mellan risk och avkastning inom svenska bostadsaktiebolag, undersöka huruvida svenska kommunala allmännyttiga bostadsaktiebolag efter införandet av lagen uppvisar ett mer affärsmässigt agerande i termer om risk och avkastning på totalt kapital. Studiens teoretiska utgångspunkter tar huvudsakligen ansats i prospektteorin samt den förväntade nyttoteorin, vilka utgör två välrenommerade modeller i syfte att förklara beslutstagande under risk. Den förväntade nyttoteorin antar att individer är rationella nyttomaximerare och därefter agerar antingen riskaversivt, risksökande eller riskneutralt. Prospektteorin hävdar i motsats till den förväntade nyttoteorin att individen kan vara en kombination av riskaversiv, risksökande och riskneutral. Varav individen således inte alltid antas agera rationellt. Författarna har funnit flertalet tidigare forskare vilka genom perspektivet av den strategiska företagsledningen, bevisat stöd för prospektteorin som förklarande modell av beslutstagande under risk på företagsnivå, inom och mellan olika branscher. Därmed ställer författarna följande frågeställning: Uppvisar Sveriges kommunala allmännyttiga bostadsaktiebolag ett i högre grad affärsmässigt riskbeteende efter införandet av Lag (2010:879) om allmännyttiga bostadsaktiebolag? Utifrån sekundärdata insamlad via databasen Retriever Business har ett kvantitativt metodangrepp tillämpats i syfte att besvara studiens framställda hypoteser. Insamlad data består av de svenska bostadsaktiebolagens årliga avkastning på totalt kapital för tidsperioden 2006-2010 samt 2011-2014. Det empiriska materialet har vidare analyserats genom korstabeller, rangkorrelationer samt deskriptiv statistik. Resultatet visade att prospektteorin utgör ett bra alternativ som deskriptiv modell av beslutstagande under risk inom svenska bostadsaktiebolag. Enligt prospektteorin påvisades att svenska bostadsaktiebolags riskbeteende varierar beroende på bolagets branschallokering i förhållande till branschens genomsnittliga prestation, varav den strategiska företagsledningen inom svenska bostadsaktiebolag kan antas vara en sammanslagning av både risksökande och riskaversiva. Därmed motsäger resultatet den förväntade nyttoteorins antaganden om att individen alltid agerar rationellt. Vidare påvisade jämförelse av de kommunala bostadsaktiebolagens riskbeteende före och efter reformen att de kommunala bostadsaktiebolagens riskbeteende inte påverkats i större utsträckning, varför indikationer ges att allmännyttiga bostadsaktiebolag inte agerar i högre grad affärsmässigt efter Lag (2010:879) om allmännyttiga bostadsaktiebolag.

Ces dernières années, la conception de produit vise de plus en plus à remettre le client aucentre du processus de développement. De nouvelles méthodes et outils ont permis de formaliser nonseulement l’identification des besoins et des attentes du client mais également leur transformation enexigences. Cependant, malgré les progrès récemment apparus dans ce domaine, la notion de valeurperçue par le client qui est associée au produit reste faiblement considérée durant le développement duproduit alors que la perception de cette valeur par le client va jouer un rôle clé au moment du choix duproduit.Dans cette thèse, nous proposons une approche normative visant l’intégration de la notion devaleur du produit dans le processus d’établissement des exigences. Un état de l’art présente lesconcepts et les pratiques impliqués dans le déploiement de la fonction de qualité, étroitement liée auprocessus de spécification des exigences basé sur la valeur. Ces concepts sont relatifs aux notionsd’objectifs, de modèles de la valeur, de fonctions d’utilité multi attributs et de hiérarchie et de réseauxd’objectifs.Notre approche se déroule en 4 étapes : (1) identifier et structurer les objectifs à partir del’expression des attentes du client, (2) spécifier les attributs de la valeur perçue par le client etconstruire un modèle de la valeur client, (3) transformer les objectifs en exigences pour construire unmodèle global de la valeur produit et (4) dériver ce modèle global en un modèle de la valeur pourchaque composant du produit. Cette approche permet ainsi de prendre en compte explicitement lavaleur produit perçue par le client en l’intégrant dans les phases de développement, ce qui favorise uneconception proactive dirigée par la valeur.Nous l’illustrons sur un exemple d’avion de ligne développé en Vanguard Studio. Cet exemplea été élaboré par l’ensemble des partenaires au cours du projet Européen IST CRESCENDO et sert decas-test pour ce projet / Recently customer-based product development is becoming a popular paradigm. Customer needsand expectations are identified and transformed into requirements in systematic processes for productdesign with the help of various methods and tools. However, in many cases, these approaches fail tofocus on the perceived value that is crucially important when customers make the decision ofpurchasing a product. The requirements specification derived from these approaches are typicallyvalue-implicit.In this thesis, a prescriptive approach to derive value-based requirements specification is proposedby integrating the concept of value into the house of quality of quality function deployment. Anintegrated set of theories, methods and concepts is introduced in order to mitigate the sevenmethodological problems of house of quality regarding to establishing appropriate value-basedrequirements specification. The foundations of the approach include concepts of objective, valuemodel and consequence model, methods of means-ends objectives network, fundamental objectiveshierarchy, response surface methodology and value-driven design, and theory of multi-attribute utilitytheory. The procedure of the approach is a four-step process: (1) identify and structure objectives frominitial customer statements of expectations, (2) specify attributes and construct customer value model,(3) transform fundamental objectives into engineering characteristics to construct system value model,and (4) derive component value models from system value model. Through this procedure, initialcustomer statements can be reasonably derived into customer value model, system value model andcomponent value model. The benefits of the approach are that it enables (1) reasonably qualifying andquantifying customer value, and performing value modeling and simulation, (2) perceived customervalue being subsequently used reactively for design evaluation, and proactively for value-drivendesign.The approach is applied in the context of a European Community’s R&D project CRESCENDO tohelp constructing airlines’ group value model for commercial aircraft development. This applicationfocuses on the first two-steps of the approach, and the value models are implemented in businesssoftware Vanguard Studio

Made available in DSpace on 2015-03-05T17:04:36Z (GMT). No. of bitstreams: 0 Previous issue date: 20 / Nenhuma / Esta pesquisa propõe um método e um modelo matemático fundamentado na métrica Customer Lifetime Value para analisar conjuntamente as preferências e percepções dos consumidores, a relação destas preferências com o sistema de produção e potenciais ações de melhorias no processo produtivo. O método de pesquisa empregado apresenta três fases, a primeira explora a literatura na busca de elementos relevantes ao objetivo proposto. A segunda fase propõe o modelo matemático e o método de avaliação de melhorias e a terceira fase aplica as propostas em um contexto real. Essa aplicação possibilita a avaliação da validade prática dos resultados para a empresa analisada e a análise de viabilidade de utilização do modelo e do método. Os três pilares de sustentação do modelo são os consumidores de um dado mercado com as suas necessidades e percepções em relação aos bens e serviços, as características atribuídas pela produção e as regras para análise do impacto da adoção de diferentes melhorias no sistema produtivo sobre o v / This research aims to propose a method and a mathematic model based on a metric Customer Lifetime Value to analyze jointly the consumer’s preferences and perceptions, the relation between preferences and productive system and potential improvements on productive process. The applied research method shows three stages: the first one explores the literature to find relevant elements for the proposed objective; the second one aims the mathematic model and the evaluation method of improvements and the last one applies all proposals in a real case. This case study allows to analyze practiced results generated by the model and the method and to evaluate application viability analyses. The model is sustained by three fundamental elements: consumers, with their necessities and perceptions about the products and services desired; characteristics of the productive system; and rules to analyze the impact of adoption of different improvements on the productive on the Customer Lifetime Value. The method focuses on interf

In the field of VLSI circuit optimization, the scaling of semiconductor devices has led to the miniaturization of the feature sizes resulting in a significant increase in the integration density and size of the circuits. At the nanometer level, due to the effects of manufacturing process variations, the design optimization process has transitioned from the deterministic domain to the stochastic domain, and the inter-relationships among the specification parameters like delay, power, reliability, noise and area have become more intricate. New methods are required to examine these metrics in a unified manner, thus necessitating the need for multi-metric optimization. The optimization algorithms need to be accurate and efficient enough to handle large circuits. As the size of an optimization problem increases significantly, the ability to cluster the design metrics or the parameters of the problem for computational efficiency as well as better analysis of possible trade-offs becomes critical. In this dissertation research, several utilitarian methods are investigated for variation aware multi-metric optimization in VLSI circuit design and spatial pattern clustering. A novel algorithm based on the concepts of utility theory and risk minimization is developed for variation aware multi-metric optimization of delay, power and crosstalk noise, through gate sizing. The algorithm can model device and interconnect variations independent of the underlying distributions and works by identifying a deterministic linear equivalent model from a fundamentally stochastic optimization problem. Furthermore, a multi-metric gate sizing optimization framework is developed that is independent of the optimization methodology, and can be implemented using any mathematical programming approach. It is generalized and reconfigurable such that the metrics can be selected, removed, or prioritized for relative importance depending upon the design requirements. In multi-objective optimization, the existence of multiple conflicting objectives makes the clustering problem challenging. Since game theory provides a natural framework for examining conflicting situations, a game theoretic algorithm for multi-objective clustering is introduced in this dissertation research. The problem of multi-metric clustering is formulated as a normal form multi-step game and solved using Nash equilibrium theory. This algorithm has useful applications in several engineering and multi-disciplinary domains which is illustrated by its mapping to the problem of robot team formation in the field in multi-emergency search and rescue. The various algorithms developed in this dissertation achieve significantly better optimization and run times as compared to other methods, ensure high utility levels, are deterministic in nature and hence can be applied to very large designs. The algorithms have been rigorously tested on the appropriate benchmarks and data sets to establish their efficacy as feasible solution methods. Various quantitative sensitivity analysis have been performed to identify the inter-relationships between the various design parameters.

In this thesis we consider two comparative statics questions of changes in risk. The first question concerns situations where an individual faces some risk and has no control over the uncertain environment. In these situations we ask what kind of changes in risk will cause the individual's expected utility to increase. The second comparative statics question concerns situations where an individual faces some risk and has some control over the uncertain environment. In particular, we consider situations where the individual maximizes her expected utility with respect to some control parameter. Here we ask what kind of changes in risk will cause the individual's optimal value of the control parameter to increase. The existing literature has answered these questions for a class of individuals (for example, the class of risk averse individuals). This thesis differs from existing literature as it focuses on a given individual, and thus reveals some of the person-specific factors that affect individual?s responses to changes in risk. The aim of the thesis is to show how an order on distributions, termed single crossing likelihood ratio (SCLR) order, can intuitively answer both questions for a given individual. The main contributions of the thesis are as follows. First, the thesis presents the SCLR order and its main properties. Second, the thesis shows that the SCLR order can answer the above comparative statics questions in an intuitive way. In particular, the thesis shows that the answer to the above questions, with the use of the SCLR order, depends on a risk reference point which can be interpreted as a "certainty equivalent" point. Thus it is demonstrated that individual's responses to changes in risk are affected by her "certainty equivalent" point. Lastly, the results of the thesis can be used to provide an intuitive explanation of related existing results that were obtained for a class of individuals.

Often, design problems are strongly coupled and their concurrent resolution by interacting (though decentralized) stakeholders is required. The ensuing interactions are characterized predominantly by degree of interdependence and level of cooperation. Since tradeoffs, made within and among sub-systems, inherently contribute to system level performance, bridging the associated gaps is crucial. With this in mind, effective collaboration, centered on continued communication, concise coordination, and non-biased achievement of system level objectives, is becoming increasingly important. Thus far, research in distributed and decentralized decision-making has focused primarily on conflict resolution. Game theoretic protocols and negotiation tactics have been used extensively as a means of making the required tradeoffs, often in a manner that emphasizes the maximization of stakeholder payoff over system level performance. More importantly, virtually all of the currently instantiated mechanisms are based upon the a priori assumption of the existence of solutions that are acceptable to all interacting parties. No explicit consideration has been given thus far to ensuring the convergence of stakeholder design activities leading up to the coupled decision and the associated determination of values for uncoupled and coupled design parameters. Consequently, unnecessary and costly iteration is almost certain to result from mismatched and potentially irreconcilable objectives. In this dissertation, an alternative coordination mechanism, centered on sharing key pieces of information throughout the process of determining a solution to a coupled system is presented. Specifically, the focus is on (1) establishing and assessing collaborative design spaces, (2) identifying and exploring regions of acceptable performance, and (3) preserving stakeholder dominion over design sub-system resolution throughout the duration of a given design process. The fundamental goal is to establish a consistent framework for agile collaboration that more accurately represents the mechanics underlying product development and supports interacting stakeholders in achieving their respective objectives in light of system level priorities. This aim is accomplished via improved resource management and design space exploration, augmented awareness of system level implications emanating from sub-system decisions, and increased modularity of decentralized design processes. Stakeholder synergy in design processes is enhanced via stakeholder focalization, based on the systematic communication of decision-critical information content.

The occurrence of catastrophic incidents in the process industry leave a marked legacy of resulting in staggering economic and societal losses incurred by the company, the government and the society. The work described herein is a novel approach proposed to help predict and mitigate potential catastrophes from occurring and for understanding the stakes at risk for better risk informed decision making. The methodology includes societal impact as risk measures along with tangible asset damage monetization. Predicting incidents as leading metrics is pivotal to improving plant processes and, for individual and societal safety in the vicinity of the plant (portfolio). From this study it can be concluded that the comprehensive judgments of all the risks and losses should entail the analysis of the overall results of all possible incident scenarios. Value-at-Risk (VaR) is most suitable as an overall measure for many scenarios and for large number of portfolio assets. FN-curves and F$-curves can be correlated and this is very beneficial for understanding the trends of historical incidents in the U.S. chemical process industry. Analyzing historical databases can provide valuable information on the incident occurrences and their consequences as lagging metrics (or lagging indicators) for the mitigation of the portfolio risks. From this study it can be concluded that there is a strong statistical relationship between the different consequence tiers of the safety pyramid and Heinrich‘s safety pyramid is comparable to data mined from the HSEES database. Furthermore, any chemical plant operation is robust only when a strategic balance is struck between optimal plant operations and, maintaining health, safety and sustaining environment. The balance emerges from choosing the best option amidst several conflicting parameters. Strategies for normative decision making should be utilized for making choices under uncertainty. Hence, decision theory is utilized here for laying the framework for choice making of optimum portfolio option among several competing portfolios. For understanding the strategic interactions of the different contributing representative sets that play a key role in determining the most preferred action for optimum production and safety, the concepts of game theory are utilized and framework has been provided as novel application to chemical process industry.

An ongoing objective in healthcare is the development of tools to improve patient decision-making and surgical outcomes for patients with breast cancer that have undergone or plan to undergo breast reconstruction. In keeping with the bioethical concept of autonomy, these decision models are patient-oriented and expansive, covering a range of different patient decision-makers. In pursuit of these goals, this dissertation contributes to the development of a prototype shared decision support system that will guide patients with breast cancer and their physicians in making decisions about breast reconstruction. This dissertation applies principles in decision analysis to breast reconstruction decision-making. In this dissertation, we examine three important areas of decision-making: (1) the options available to decision-makers, (2) the validity of probabilistic information assessed from reconstructive surgeons, and (3) the feasibility of applying multiattribute utility theory. In addition, it discusses the influences of breast aesthetics and proposes a measure for quantifying such influences. The dissertation concludes with a fictional case study that demonstrates the integration of the findings and application of decision analysis in patient-oriented shared breast reconstruction decision-making. Through the implementation of decision analysis principles, cognitive biases and emotion may be attenuated, clearing the decision-maker’s judgment, and ostensibly leading to good decisions. While good decisions cannot guarantee good outcomes at the individual level, they can be expected to improve outcomes for patients with breast cancer as a whole. And regardless of the outcome, good decisions yield clarity of action and grant the decision-maker a measure of peace in an otherwise uncertain world. / text

This thesis is an investigation of how subjects behave in an individual binary choice decision task with the option to purchase or observe for free additional information before reaching a decision. In part 1 of this thesis, an investigative study is conducted with the intent to sharpen the view to literature concerning corresponding psychology and economics experiments designed to test decision tasks that involve purchasing and observing information from an imperfect message prior to taking a terminal action choice. This investigative study identifies areas of research that warrant further investigation as well as provides enhancements for execution in the subsequent experiment conducted in Part 2 & 3 of this thesis. In Part 2 & 3, I conduct an experiment to test how subjects behave in an individual binary choice decision task with the option to purchase or observe for free additional information before reaching a final decision. I find that subjects’ behaviour over time converges toward optimal decisions prior to observing an imperfect information signal. However, when subjects observe an imperfect information signal prior to their terminal choice there is greater deviation from optimal behaviour. I find in addition to behaviour that is reflective of a risk-neutral BEU maximizer, status quo bias, over-weighing the informational value of the message received and past statistically independent outcomes influencing future choices. The subjects’ willingness to pay (WTP) to use the additional information gathered from an imperfect message service when making a final decision was on average less than the risk neutral BEU willingness to pay benchmark. Moreover, as the informative value of the message increased, causing the BEU valuation to increase, subjects under-estimated the value of the message signal to a greater degree. Although risk attitudes may have influenced the subjects’ WTP decisions, it does not account for the increased conservative WTP behaviour when information became more valuable. Additionally, the findings from this study suggest that individuals adopt different decision rules depending on both personal attributes (i.e. skillset, gender, experience) and on the context and environment in which the decision task is conducted. / SSHRC grant: Social Sciences and Humanities Research Council via Dr. Bram Cadsby Professor Department of Economics, University of Guelph

In this thesis we consider two comparative statics questions of changes in risk. The first question concerns situations where an individual faces some risk and has no control over the uncertain environment. In these situations we ask what kind of changes in risk will cause the individual's expected utility to increase. The second comparative statics question concerns situations where an individual faces some risk and has some control over the uncertain environment. In particular, we consider situations where the individual maximizes her expected utility with respect to some control parameter. Here we ask what kind of changes in risk will cause the individual's optimal value of the control parameter to increase. The existing literature has answered these questions for a class of individuals (for example, the class of risk averse individuals). This thesis differs from existing literature as it focuses on a given individual, and thus reveals some of the person-specific factors that affect individual?s responses to changes in risk. The aim of the thesis is to show how an order on distributions, termed single crossing likelihood ratio (SCLR) order, can intuitively answer both questions for a given individual. The main contributions of the thesis are as follows. First, the thesis presents the SCLR order and its main properties. Second, the thesis shows that the SCLR order can answer the above comparative statics questions in an intuitive way. In particular, the thesis shows that the answer to the above questions, with the use of the SCLR order, depends on a risk reference point which can be interpreted as a "certainty equivalent" point. Thus it is demonstrated that individual's responses to changes in risk are affected by her "certainty equivalent" point. Lastly, the results of the thesis can be used to provide an intuitive explanation of related existing results that were obtained for a class of individuals.