More stringent requirements on nitrogen removal from wastewater are the motivation for this thesis. In order to improve treatment results and enhance cost-efficient operation of wastewater treatment plants, model based control strategies are presented. A Java based simulator for activated sludge processes (JASS) is presented. The graphical user interface, educational experiences and implemented control strategies are discussed. Controlling the addition of an external carbon source is the next topic discussed. A simple model based feedforward controller is derived and evaluated in a simulation study. The controller attenuates process disturbances quickly. Further, two feedforward controllers for adjusting the aeration volume in activated sludge processes are derived. The aim of the volume control strategies was to efficiently dampen the impact of process disturbances without using an excessively high dissolved oxygen concentration. The simulation results are promising and show that the aeration volume may be a feasible control variable. A linearisation method for static input non-linearities is presented. The method gives essentially the same result as the existing standard method, but possesses some implementational advantages. The method is used to linearise the non-linear oxygen transfer function of an activated sludge process in an application study. Multivariable interactions in a process model describing nitrate removal in an activated sludge process are studied using the well known RGA method as well as a relatively novel tool based on Hankel norms. The results of the analysis are compared to conclusions drawn from common process knowledge and are used to design a multivariable control strategy. It was found that process disturbances may be rejected faster using multivariable control. Finally, the operational costs of the denitrification process are investigated and visualised graphically. Cost optimal regions are found by a numerical grid search. Procedures for controlling the denitrification process in a cost-efficient way are described.

This thesis addresses questions of how to incorporate quality of care, represented by disutility-bearing effects such as mortality, morbidity and re-admission, in measuring relative performance of public hospitals. Currently, case-mix funding and performance, measured with costs per case-mix adjusted separation, hold hospitals accountable for costs, but not effects, of care, creating economic incentives for quality of care minimising cost per admission. To allow an appropriate trade-off between the value and cost of quality of care a correspondence is demonstrated between maximising net benefit and minimising costs plus decision makers??? value of disutility events, where effects of care can be represented by disutility events and hospitals face a common comparator. Applying this correspondence to performance measurement, frontier methods specifying disutility events as inputs are illustrated to have distinct advantages over output specifications, allowing estimation of: 1. economic efficiency conditional on the value of avoiding disutility events. 2. technical, scale and congestion sources of net benefit efficiency; 3. best practice peers over potential decision makers??? value of quality; and 4. industry shadow price of avoiding disutility events. The accountability this performance measurement framework provides for effects and cost of quality of care are also illustrated as the basis for moving from case-mix funding towards a funding mechanism based on maximising net benefit. Links to evidence-based medicine in health technology assessment are emphasised in illustrating application of the correspondence to comparison of multiple strategies in the cost-disutility plane, where radial properties as shown to provide distinct advantages over comparison in the cost-effectiveness plane. The identified performance measurement and funding framework allows policy makers to create economic incentives consistent with evidence-based medicine in practice, while avoiding incentives for cream-skimming and cost-shifting. The linear nature of the net benefit correspondence theorem allows simple inclusion of multiple effects of quality, whether expressed as not meeting a standard, functional limitation or disutility directly. In applying the net benefit correspondence theorem to hospitals a clinical activity level is suggested, to allow correspondence conditions to be robustly satisfied in identification of effects with decision analytic methods, adjustment for within DRG risk factors and data linkage to effects beyond separation.

The United States trucking industry underwent deregulation starting in 1980. There was much opposition to the process in fears that trucking companies would be adversely affected by increased competition. There were also many proponents and researchers who proved that the increased competition due to regulatory reform only helped strengthen the industry by forcing firms to become more cost efficient. There has been similar opposition and support for the trucking provisions of NAFTA. Although the provisions have not been fully implemented, the trucking industry is well aware it will only be a matter of time. In early 2002 it was announced that the process to begin implementing the trucking provisions would begin in mid-2002. Many in the industry and other groups have opposed implementing the provisions, concerned that U.S. trucking firms would be subject to competition from Mexican firms, just as they feared trucking firms would be adversely affected by deregulation more than 25 years ago. This thesis analyzes the effects the 2002 announcement of the process to begin implementing the trucking provisions has had on the cost structure of the industry. It uses a translog cost function to determine if firms have become more efficient in the years following the announcement in anticipation of increased competition from Mexican firms after the provisions are fully implemented. The translog cost function is used to determine what effects the NAFTA variable has had on costs and what specific operating characteristics have caused the costs to increase or decrease.

Doctor of Philosophy / During the 1990s, governments, managements and unions have been focused upon improving the cost efficiency of firms. This focus has been strongest for firms in the public sector where improved outcomes can be expected to significantly improve the Gross Domestic Products of whole economies. This case study looks at the cost efficiency of NSW rail passenger services over a 41 year period to 1991/92, long suspected (but hitherto only tentatively demonstrated) as a paradigm of cost inefficiency. The case study focuses upon the use of the total factor productivity (TFP) index, as a datum point for measuring change in productivity in four markets: suburban, internrban, country and interstate passenger services since 1951/52. From this datum, changes over the years in management, technology and other external factors can be identified and assessed. The thesis identifies management quality (the organising element in the firm) as the preeminent factor in determining productivity change, and the role that new technology plays in its impact on failures in management. We establish the linkages between management and innovation, with TFP, pricing efficiency and economic resource use efficiency, to present a rich paradigm for assessing the economic performance of any business firm. Borrowing from systems theory and other management practices such as total quality management, we disaggregated the case firm into its component systems, sub-systems and processes, for separate study in relation to impact on TFP. The database for 41 years of rail behaviour is the richest ever compiled for any railway in Australia, and with enhanced modelling, enables a systematic treatment of the performance through time of State Rail's passenger services.

<p>More stringent requirements on nitrogen removal from wastewater are the motivation for this thesis. In order to improve treatment results and enhance cost-efficient operation of wastewater treatment plants, model based control strategies are presented.</p><p>A Java based simulator for activated sludge processes (JASS) is presented. The graphical user interface, educational experiences and implemented control strategies are discussed.</p><p>Controlling the addition of an external carbon source is the next topic discussed. A simple model based feedforward controller is derived and evaluated in a simulation study. The controller attenuates process disturbances quickly. Further, two feedforward controllers for adjusting the aeration volume in activated sludge processes are derived. The aim of the volume control strategies was to efficiently dampen the impact of process disturbances without using an excessively high dissolved oxygen concentration. The simulation results are promising and show that the aeration volume may be a feasible control variable.</p><p>A linearisation method for static input non-linearities is presented. The method gives essentially the same result as the existing standard method, but possesses some implementational advantages. The method is used to linearise the non-linear oxygen transfer function of an activated sludge process in an application study.</p><p>Multivariable interactions in a process model describing nitrate removal in an activated sludge process are studied using the well known RGA method as well as a relatively novel tool based on Hankel norms. The results of the analysis are compared to conclusions drawn from common process knowledge and are used to design a multivariable control strategy. It was found that process disturbances may be rejected faster using multivariable control.</p><p>Finally, the operational costs of the denitrification process are investigated and visualised graphically. Cost optimal regions are found by a numerical grid search. Procedures for controlling the denitrification process in a cost-efficient way are described.</p>

published_or_final_version / abstract / toc / Transport Policy and Planning / Master / Master of Arts in Transport Policy and Planning

Many control systems of practical importance are multivariable. In such systems, each manipulated variable (input signal) may affect several controlled variables (output signals) causing interaction between the input/output loops. For this reason, control of multivariable systems is typically much more difficult compared to the single-input single-output case. It is therefore of great importance to quantify the degree of interaction so that proper input/output pairings that minimize the impact of the interaction can be formed. For this, dedicated interaction measures can be used. The first part of this thesis treats interaction measures. The commonly used Relative Gain Array (RGA) is compared with the Gramian-based interaction measures the Hankel Interaction Index Array (HIIA) and the Participation Matrix (PM) which consider controllability and observability to quantify the impact each input signal has on each output signal. A similar measure based on the <img src="http://www.diva-portal.org/cgi-bin/mimetex.cgi?%5Cmathcal%20H_2" /> norm is also investigated. Further, bounds on the uncertainty of the HIIA and the PM in case of uncertain models are derived. It is also shown how the link between the PM and the Nyquist diagram can be utilized to numerically calculate such bounds. Input/output pairing strategies based on linear quadratic Gaussian (LQG) control are also suggested. The key idea is to design single-input single-output LQG controllers for each input/output pair and thereafter form closed-loop multivariable systems for each control configuration of interest. The performances of these are compared in terms of output variance. In the second part of the thesis, the activated sludge process, commonly found in the biological wastewater treatment step for nitrogen removal, is considered. Multivariable interactions present in this type of bioreactor are analysed with the tools discussed in the first part of the thesis. Furthermore, cost-efficient operation of the activated sludge process is investigated.

Doctor of Philosophy / During the 1990s, governments, managements and unions have been focused upon improving the cost efficiency of firms. This focus has been strongest for firms in the public sector where improved outcomes can be expected to significantly improve the Gross Domestic Products of whole economies. This case study looks at the cost efficiency of NSW rail passenger services over a 41 year period to 1991/92, long suspected (but hitherto only tentatively demonstrated) as a paradigm of cost inefficiency. The case study focuses upon the use of the total factor productivity (TFP) index, as a datum point for measuring change in productivity in four markets: suburban, internrban, country and interstate passenger services since 1951/52. From this datum, changes over the years in management, technology and other external factors can be identified and assessed. The thesis identifies management quality (the organising element in the firm) as the preeminent factor in determining productivity change, and the role that new technology plays in its impact on failures in management. We establish the linkages between management and innovation, with TFP, pricing efficiency and economic resource use efficiency, to present a rich paradigm for assessing the economic performance of any business firm. Borrowing from systems theory and other management practices such as total quality management, we disaggregated the case firm into its component systems, sub-systems and processes, for separate study in relation to impact on TFP. The database for 41 years of rail behaviour is the richest ever compiled for any railway in Australia, and with enhanced modelling, enables a systematic treatment of the performance through time of State Rail's passenger services.

Orientador: Douglas Tacla / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Civil, Arquitetura e Urbanismo / Made available in DSpace on 2018-08-15T15:02:49Z (GMT). No. of bitstreams: 1 Silva_LuizFernandoMoreirada_M.pdf: 1451507 bytes, checksum: 58e3a59b22897945f6af446c8a495907 (MD5) Previous issue date: 2010 / Resumo: Esta dissertação objetiva discutir a situação atual da logística farmacêutica na Grande São Paulo e analisar uma alternativa para a distribuição de medicamentos destinados às farmácias, sob os aspectos estratégico, tático e operacional. Esta alternativa deverá permitir a redução de custos e melhorar a eficiência desta distribuição urbana com entrega feita por meio de transporte rodoviário. Uma vez aplicada esta alternativa, espera-se uma redução nas taxas de poluição e de tráfego de veículos de entregas, com vantagens em comparação ao método atualmente utilizado pelo mercado farmacêutico. O uso da logística colaborativa no desenho da malha desta estratégia de distribuição fina é facilitado pela grande interação já existente entre as empresas do setor farmacêutico. Esta interação será ainda maior devido à publicação da Lei 11.903/09 e, mais recentemente, à regulamentação da ANVISA RDC 059/09, que torna obrigatória a coleta e troca de informação entre produtores, distribuidores e varejistas. De modo a tornar esta estratégia viável, sua composição de custos deve permitir a inserção de um parceiro de distribuição na malha atual. Este parceiro deverá estar apto a planejar e executar as entregas destinadas à região metropolitana, reduzindo o número de veículos usados na operação em comparação ao método de distribuição regular. Por se tratar de um método de distribuição em grandes centros urbanos por intermédio de um único parceiro, o ganho de escala proporcionado pode tornar viável o uso de uma frota de veículos movida a combustível limpo ou ecológico, como etanol ou eletricidade, permitindo maior redução da poluição gerada pela distribuição urbana. A forma utilizada para desenvolver este trabalho se deu pela análise de uma operação real de distribuição de medicamentos na Grande São Paulo, sua comparação com uma abordagem colaborativa para a distribuição de medicamentos na mesma região e a conclusão com base nos resultados gerados pela simulação e comparação das variáveis que influenciam o tráfego, a emissão de poluentes e os custos envolvidos com a distribuição de medicamentos em áreas urbanas. Após o desenvolvimento destes dois métodos de distribuição, eles foram aplicados às variáveis atribuídas a cada um, a partir de dados e premissas baseadas em operações reais colhidas junto a um operador logístico de distribuição de medicamentos, gerando valores comparáveis e que embasaram uma conclusão e recomendação, a partir deste estudo. Uma das premissas mais importantes deste estudo é que, adicionalmente às variáveis consideradas, esta nova configuração deve provar sua eficiência também no que se refere ao nível de serviço, isto é, a frequência e a pontualidade nas entregas urbanas, mantendo-o, no mínimo, no mesmo nível encontrado atualmente. A conclusão deste trabalho será a comparação de três variáveis entre a configuração atual - em que vários e diferentes transportadores precisam atingir lojas de varejo diariamente, entregando diversos tipos de produtos, e configuração proposta - em que apenas um transportador fará as entregas nas áreas urbanas / Abstract: This dissertation aims to discuss the current situation of pharmaceutical logistics in the São Paulo metro area and analyze an alternative for the distribution of pharmaceutical products for the drugstores and pharmacies located in the metro regions under the aspects strategic, tactic and operational. The alternative for the distribution method presented in this study shall allow a cost reduction and improve the efficiency of the urban distribution using the ground transportation. Once this alternative is applied, it will be expected a reduction in pollution and transit rates generated by this urban deliveries, bringing advantages when in comparison with the current method utilized by the pharmaceutical market. The use of collaborative logistics to design this distribution network strategy is facilitated by the great interaction already existing among the pharmaceutical industry. This interaction will be even bigger due to the issue of a new law n. 11.903/09 and a new rule from the Federal Sanitary Agency (ANVISA), n. 059/09, which states the obligation of exchanging information among industry, logistics providers, wholesalers and retailers. To make the strategy presented in this study feasible, the costs involved in its operation must to allow insert a new partner in current supply chain. This partner must be apt to plan and execute the deliveries in the metro area, reducing the number of vehicles used in this operation in comparison with the current or regular distribution method. Considering this is an urban distribution method for a big city using an unique provider, the scalability can allow the use of a clean fuel fleet, as ethanol or electricity, allowing an even bigger reduction in the pollution generated by this urban distribution piece. The methodology used was the analysis of a real operation for pharmaceutical distribution in the Sao Paulo metro area, its comparison with a collaborative approach and then the conclusion based on the results obtained through the simulation of the two scenarios using the arguments that affect the traffic, pollution and the costs involved in this distribution. The data to simulate the two scenarios were taken from a real operation of pharmaceutical distribution located in the Sao Paulo metro area. One of the most important assumptions is that this model must to prove its efficiency in the service level, assuring at least the same level provided currently. The conclusion will be the comparison between the current methods, where many different carriers need to carry goods to retail stores daily, with the proposed method, where only one carrier will provide the deliveries in the metro area / Mestrado / Transportes / Mestre em Engenharia Civil

This dissertation reports on the factors that contributed to the successful entry strategy of 1time Airline, a low cost carrier, into the South African airline industry as well as its competitive strategies within this context. Research interviews were conducted in November 2005 and research material gathered until end January 2006. Key issues include an evaluation of 1time's business model in relation to other low cost entrants as well as against material sourced through interviews with 1time Airline management, employees and consumers of the airline's product. Porter's Generic Strategies and Five Forces model are used as a framework in evaluating the airline. It is found that Nohria, Joyce and Robertson's "4+2 Formula" is effectively implemented at the airline, but that further implementation of Game Theory in terms of alliances should be investigated for continued success and sustainability.