Šio darbo tikslas - padėti įmonių vadovams esamoje situacijoje nustatyti, ar Mažeikių mokslo ir technologijų centras (toliau-MTC) reikalingas rajone, padėti parengti tolimesnį veiklos modelį ir MTC kūrimosi/plėtros scenarijų. Tyrimo metu išanalizuoti veikiančių MTC veiklos principai bei panašumai ir skirtumai ES ir Lietuvoje. Atliktas išsamus SVV įmonių Mažeikiuose tyrimas, siekiant pagrįsti, kaip centras keistų rajono įmonių veiklą, keltų verslo, pramonės ir žemės ūkio įmonių konkurencingumą. Studijoje buvo suformuotas visuminis inovacijų skatinimo modelis, kuriame buvo paskirstytos (perskirstytos) funkcijos atskiroms organizacijoms, atsakingoms už verslo plėtrą Mažeikių rajone. Pagrindinė organizacija, kuri galėtų padėti vietos verslui diegti naujausias technologijas savo veiklos vykdymui ir padėtų spręsti problemas buvo išskirta Viešoji įstaiga - “Mažeikių mokslo ir technologijų centras”. Atliktas tyrimas patvirtina autorės iškeltą hipotezę, kad MTC teigiamai įtakos rajono verslo aplinką ir kels vietos įmonių konkurencingumą bei vystys žmogiškuosius išteklius. / The aim of this work is to help company leaders to get a handle in present situation (to answer to the question do we really need science and advanced technology center (SATC) in Mažeikiai) and/or to help the center to prepare further activity model and script of SATC development. During the research it’s been analyzed running SATC activity rules, their advantages and differences in European Union and in Lithuania. It’s been accomplished thorough investigation of small and medium trade companies in Mažeikiai on purpose to motivate the center chances to change movements of region companies, to inspire trade, industry and rural companies competitive abilities. Furthermore present situation has been evaluated. Innovation inducement model has been structured, where functions were distributed to particular organizations responsible for trade development in Mažeikiai region. There is no functioning institution in Mažeikiai region, which could assist local business to apply advanced technologies in their activities. This circumstance has been posted as the main problem. The main organization which could assist in solving this problem is a public institution “Science and technology center of Mažeikiai”. Committed analysis confirms scientific hypothesis of the author, that SATC will positively stimulate trade environment of the region, will facilitate competitive abilities of the local companies and develop human resources.

Anaerobic digester (AD) technology is a form of renewable energy that’s economic feasibility assessment is required site by site. This thesis presents a freely available workbook to determine the financial feasibility of a farm-based AD and to demonstrate its use for the Ontario livestock sector. To assess the profitability of ADs for farmers in Ontario with uncertainty included the theory of real options is used. Investment in an AD is financially feasible only for the largest dairy farms in Ontario under current electricity prices, which are approximately six times greater than the wholesale price. Shifting to a duel fuel continuous system would improve returns, as would the availability of additional substrate material in the form of solid grease waste. The real options approach shows that even higher net returns are necessary, than indicated by more traditional approaches, in order for AD investments to be feasible for Ontario livestock farmers.

No abstract available. / Thesis (MBA)-University of Natal, 2003.

Procurement is the acquisition of goods or services at the best possible total cost of ownership, in the correct quantity, at the correct time, in the correct place for the direct benefit or use of corporations, governments or individuals (Procurement 2005). Electronic procurement is the fulfillment of the procurement function by use of the Internet and new technologies to facilitate a seamless, end-to-end stream of strategic procurement activities enabling improved responsiveness and analysis within the procurement organisation (Wheatley 2003). The aim of the study was to identify the effectiveness and efficiency of the current procurement processes in place at UTi Domestic and to investigate the feasibility of using Electronic Procurement as a possible mechanism for Business Process Re-Engineering within UTi Domestic, to streamline and add value to the overall procurement function. This study was undertaken at UTi domestic in Johannesburg. Questionnaires were used to collect data. In total, twenty-eight procurement staff members and six management members completed separate questionnaires. One hundred percent response rate was achieved for both groups. The procurement staff completed a structured questionnaire while management were asked unstructured questions. Data obtained from the questionnaires were analysed using the Statistical Package for the Social Sciences (SPSS). The findings of the study indicated that the procurement process at UTi Domestic was inefficient and ineffective. The procurement process was in need of redesign. Controversy existed between management and procurement staff over whether e-procurement would be the solution to the procurement problem. The researcher recommended the implementation of an e-procurement solution as a resolution to the procurement problem, based on the value potential of the solution and the ability of the solution to positively satisfy all of the aims of the study. As supported by the literature, e-procurement can make a significant difference to UTi Domestic. / Thesis (MBA)-University of KwaZulu-Natal, Westville, 2006.

The purpose of this research was to investigate the feasibility of installing gasification based combined heat and power plants in the New Zealand wood processing industry. This is in accordance with Objective Four of the BIGAS Consortium. This thesis builds on previous work on Objective Four (Rutherford, 2006) where integration into MDF (Medium Density Fibreboard) was investigated. The previous research identified the most suitable form of combined heat and power was a BIG-GE (Biomass Integrated Gasification Gas Engine) process, due to both lower capital investment and overall breakeven electricity production cost. This technology has therefore been adopted, and the investigation has been carried further in this research to incorporate integration into sawmills and LVL (Laminated Veneer Lumber) plants. It is recognised, however, especially when reviewing overseas successes and failures, that the base economics are only one factor in the feasibility of a plant. The research, therefore, has moved further to investigate New Zealand policy, the power market, lower capital alternatives and novel methods of integration. The conclusion of the study is gasification based combined heat and power plants in the New Zealand wood processing industry can be equal or better in economic terms than other forms of renewable generation, however, the application is very niche. Lower capital cost alternatives, stable and low priced biomass feed and a favourable power market in regards to distributed generation is key to the viability of such a plant. Government policy is favourable towards biomass gasification due to the target of 90% electrical generation by renewable resources by 2025. Distributed generation is also encouraged in the Government’s forward strategy. However, the technology has advanced further overseas due to capital grants and a premium paid for ‘green’ electricity. While the technology may be economic in its own right, active government support would lower the perceived risk increasing the likelihood of an investor taking interest in an initial project.

An increasing number of applications ranging from multi-vehicle systems, large-scale process control systems, transportation systems to smart grids call for the development of cooperative control theory. Meanwhile, when designing the cooperative controller, the state and control constraints, ubiquitously existing in the physical system, have to be respected. Model predictive control (MPC) is one of a few techniques that can explicitly and systematically handle the state and control constraints. This dissertation studies the robust MPC and distributed MPC strategies, respectively. Specifically, the problems we investigate are: the robust MPC for linear or nonlinear systems, distributed MPC for constrained decoupled systems and distributed MPC for constrained nonlinear systems with coupled system dynamics. In the robust MPC controller design, three sub-problems are considered. Firstly, a computationally efficient multi-stage suboptimal MPC strategy is designed by exploiting the j-step admissible sets, where the j-step admissible set is the set of system states that can be steered to the maximum positively invariant set in j control steps. Secondly, for nonlinear systems with control constraints and external disturbances, a novel robust constrained MPC strategy is designed, where the cost function is in a non-squared form. Sufficient conditions for the recursive feasibility and robust stability are established, respectively. Finally, by exploiting the contracting dynamics of a certain type of nonlinear systems, a less conservative robust constrained MPC method is designed. Compared to robust MPC strategies based on Lipschitz continuity, the strategy employed has the following advantages: 1) it can tolerate larger disturbances; and 2) it is feasible for a larger prediction horizon and enlarges the feasible region accordingly. For the distributed MPC of constrained continuous-time nonlinear decoupled systems, the cooperation among each subsystems is realized by incorporating a coupling term in the cost function. To handle the effect of the disturbances, a robust control strategy is designed based on the two-layer invariant set. Provided that the initial state is feasible and the disturbance is bounded by a certain level, the recursive feasibility of the optimization is guaranteed by appropriately tuning the design parameters. Sufficient conditions are given ensuring that the states of each subsystem converge to the robust positively invariant set. Furthermore, a conceptually less conservative algorithm is proposed by exploiting the controllability set instead of the positively invariant set, which allows the adoption of a shorter prediction horizon and tolerates a larger disturbance level. For the distributed MPC of a large-scale system that consists of several dynamically coupled nonlinear systems with decoupled control constraints and disturbances, the dynamic couplings and the disturbances are accommodated through imposing new robustness constraints in the local optimizations. Relationships among, and design procedures for the parameters involved in the proposed distributed MPC are derived to guarantee the recursive feasibility and the robust stability of the overall system. It is shown that, for a given bound on the disturbances, the recursive feasibility is guaranteed if the sampling interval is properly chosen. / Graduate / 0548 / 0544 / 0546 / liuxiaotao1982@gmail.com

The choice of suitable study populations in which to conduct large-scale phase III HIV prevention trials is a fundamental issue for communities, researchers, sponsors and donor organizations. In many developed and developing countries, such trials are feasible only among vulnerable, disadvantaged communities at high-risk of HIV and sexually transmitted infections, where high HIV incidence rates make randomised controlled efficacy trials feasible but where poverty, social exclusion, illiteracy, stigma and powerlessness mean ethical considerations are paramount. In such settings, preliminary feasibility studies are considered essential to inform the design of future phase III efficacy and safety trials. Researchers typically frame their assessment of feasibility within an ‘epidemiological paradigm’, focusing on a limited number of key biomedical outcome parameters to guide decision making. These include HIV, STI and pregnancy incidence; and the feasibility of recruiting and retaining sufficient numbers of subjects from a given study population. This Thesis argues that a more comprehensive assessment of feasibility, which combines epidemiological factors with other key constructs such as ethics and social justice, is critical to the successful conduct of high quality and ethically sound HIV prevention trials among vulnerable at-risk study populations in Africa. This work is based on a combination of epidemiological, applied social science and participatory action-orientated research conducted during a microbicide trial feasibility study and an on-going phase III randomised placebo-controlled efficacy and safety trial of the candidate vaginal microbicide PRO2000/5 Gel (Indevus Pharmaceuticals, USA) that I coordinated as the Clinical Site Principal Investigator in Tanzania from November 2002 until March 2007, and for which I remain a Co-Investigator. All fieldwork was carried out in Mwanza City, in the Lake Victoria basin region of northwest Tanzania, among an occupational cohort of women working in bars, guesthouses, hotels and other food outlets and recreational facilities. Some women in this occupational group are known to periodically engage in transactional and commercial sex to supplement their income and are therefore considered to be at increased risk of HIV and sexually transmitted infections, and to represent a potential study population for future microbicide and other HIV prevention trials.

The appraisal or the feasibility of an engineering venture or an investment relies on the estimation of the analysis parameters, which usually occur in the future. All such estimates have an element of uncertainty which needs to be acknowledged. Traditional methods of engineering economic or discounted cash flow analysis, for example, net present value, benefit/cost ratio, internal rate of return and payback period, do not take into account the uncertainty associated with the analysis parameters. To this end, the present study proposes a number of evaluation methodologies in order to deal with the inherent uncertainty. The present study uses second-order moment thinking to determine the expected value and the variance of feasibility measures, net present value, benefit/cost ratio, internal rate of return and payback period. A venture???s feasibility is defined in this study as the probability of the total benefit exceeding the total cost, the probability of the internal rate of return being greater than a specified interest rate, or the probability of the payback period being less than a specified time period. However, the determination of the variance of these measures requires the estimation of the correlation coefficients between the benefits and costs. The task of estimating correlation coefficients is difficult without making certain assumptions. An examination of the degree of correlation is presented which can be used for guidance in feasibility studies. The present study also gives a theoretical formulation for feasibility for single and multiple ventures and supports this with representative results based on case studies. Such a formulation resolves which combination of ventures is best from a viewpoint of feasibility. Additionally, venture appraisal is modelled as a system with Markov properties. When analysis parameters such as the interest rate, benefits and costs are defined as states, with the associated transition probabilities from one period of time to another, Markov chains can be used to estimate a venture???s feasibility. This provides further insight into the influence of variability in the analysis parameters, and provides the solution to the problem of the determination of the optimal policy, which maximises the expected net present value or the venture's feasibility over its life span. Markov chains provide further insights into the effect of the inter-temporal correlation coefficients on the variance of the net present value. When each state is taken to represent a different value of inter-temporal correlation coefficient, and consequently a different variance, it is possible to evaluate the venture's expected variance and the variance of the variance of the net present value, according to the transition probabilities associated with each state.

Background Hospitals in Iran have mainly been managed in a centralised system and funded historically through annual budgeting with little autonomy at hospital level. The current annual budgeting system is inequitable and is not reflective of hospital activity. Hospital resources are not distributed with regard to efficiency indicators and lobbying and political power of the managers are common issues influencing budget. Evidence suggests that hospitals in Iran will be even further challenged due to the growing and aging population. Reform of funding policy, particularly in hospitals, is now being considered as a critical step to improvement of Iran’s health system. Objectives This is a study of the theoretical and practical aspects of the implementation of casemix funding of hospitals in Iran. It aims to identify the knowledge and attitude of hospital managers and staff about the feasibility of casemix; to investigate availability, reliability and completeness of hospital discharge and financial data; to measure the appropriateness of the Australian Refined Diagnosis Related Groups (AR-DRGs); to build up a basis for further studies on casemix funding of hospitals; and, to assist the efficient use of scarce resources among and between hospital systems. Methods First, a descriptive survey, using an eleven-item questionnaire, was conducted to assess the level of knowledge and attitudes of hospital managers and key staff about casemix funding and its appropriateness. Second, patients’ clinical and demographic information were collected from the discharge system of a single study hospital, to evaluate the accuracy and completeness of these data for adopting casemix in Iran’s hospitals. This information was used to classify patient episodes into DRG classes using the LAETA Grouper and AR-DRGs. Third, DRG cost weights were calculated based on the internationally accepted principles of 'activity-based' cost accounting and cost-modelling, taking into account current realities of hospital accounting structures, availability of data, as well as time and budget constraints. To identify whether there is any association between modelled cost weights and length of stay at the DRG level, two statistical measures, the Pearson correlation coefficient and regression coefficient were calculated using the STATA statistical package. Finally, a total of 465,531 acute inpatient separations, from 35 hospitals, was used to examine the performance of AR-DRGs in the study environment. L3H3; IQR; and 10th- 95th percentile methods were used for excluding extreme cases. The coefficient of variation (CV) and reduction in variance (R2) were used to measure the degree of homogeneity achieved by the classification system and the extent to which the dispersion of lengths of stay could be explained by grouping the cases into the discrete DRG classes. Results The staff survey results showed that 75% and 58% of the participants had not ever heard of the terms casemix and DRGs, respectively. The majority of the participants described casemix and DRGs as a cost allocation and/or funding tool rather than a classification system useful for management and performance measurement. The most common barriers to casemix implementation outlined by the participants included: the lack of good foundation knowledge; difficulty in data access; and lack of or incomplete knowledge of the chief managers and staff about the casemix. The data quality study findings suggest that the accuracy and completeness of the available data in the study hospital is variable and not highly reliable. The grouper identified invalid records of principal diagnosis, age, sex, and length of stay for 4% of total separations. No complication and comorbidity effects were recorded for 93% of cases. Although general practitioners are employed as gate keepers to control coding accuracy, there is no standard quality control to secure the accuracy and consistency of coding either at the physician or coder level. Coders, except in a few cases, have not been formally trained. According to the data study, the estimation of DRG cost weights using a clinical costing approach is almost impossible due to inadequate financial and utilisation information at the patient level, poorly computerised 'feeder systems', and low quality data. In contrast, the cost modelling approach, using Australian service weights resulted in the average DRG cost weight of 2.723 million Iranian Rials (equal to US $295). A regression coefficient of 0.14 (CI = 0.12 − 0.16) suggests that the average cost weight increases by 14% for every one day increase in average length of stay. Classifying a total of 465,531 acute inpatient separations using AR-DRG resulted in 579 DRG classes. Although reduction in variance (R2) for untrimmed data was low (R2 = 0.17) for LOS, trimming by L3H3, IQR, and 10th-95th percentile method improved the value of R2 to 0.53, 0.48, and 0.51, respectively. Low values of R2 for DRGs within several MDCs such as MDC 02, 05, 10, 15, and MDC 20 were identified. Conclusion This study concludes that the implementation of the casemix funding of hospitals in the Iranian health system and in Iranian Social Security Organisation in particular, is quite feasible and that AR-DRGs would provide a useful basis for introducing casemix in the system. However, the effective implementation of casemix in Iran would depend on a number of factors including: active cooperation and contribution of hospital staff at all levels and in all departments in the implementation process and provision of reliable data; updating hospital information systems; improving the quality of costing information; adopting an appropriate classification system, and, finally, adequate scrutiny of health care providers’ behaviours through the regular assessment of hospital performance and quality of care.

Thesis (M.Sc.(Earth Science Practice & Management))--University of Pretoria, 2003. / Abstract in English. Includes bibliographical references.