For as much as GfK Company is now reorganized, because all management has been changed, all processes are changing as well. One of this process is even process of communication, which until this time wasn't specifically solved itself. Especially due to this, is very hard to describe this process and sort. Object of this work is try to analyse process of extern and intern communication in GfK Company and simultaneously try to offer any suggestion to improve. To deals with all processes of this company isn't able due to extend of this work, and since GfK Company deals with market research and public mind, in this work is concentrated attention to communication by main activity of company. By these processes is communication with respondents and with clients, according to extern communication. In as much as communication with respondent, this work is focused mainly on household panel, because this company has from this most information (as primary data ). Same the internal communication is focused by main process of GfK Company, and that is data transmission and processing. These processes are for company basic, the most interesting and themselves right progress influenced the company as a whole, like a name and prestige and like an income. The work is separated to two main parts. The first part deals with theoretic problems. The main ideas are approached there, that are taking processes, information, communication and systems. The communication is research by social view and by technological view, so how communication is influenced by ICT, and it's positive or negative. The second part is focused to solve the concrete problem of GfK Company. In the first time is introduced the GfK, later are developed processes of internal and external communication. Next parts describe present situation and true using of ICT. According to this information are in conclusion mentioned any suggests and recommends how to improve these processes.

The goal of this dissertation is to study optimization models that integrate location, production, inventory and transportation decisions for industrial products and apply the knowledge gained to develop supply chains for agricultural products (biomass). We estimate unit cost for the whole biomass-to-biofuels’ supply chain which is the per gallon cost for biofuels up till it reaches the markets. The unit cost estimated is the summation of location, production, inventory holding, and transportation costs. In this dissertation, we focus on building mathematical models for designing and managing the biomass-to-biofuels’ supply chains. The computational complexity of the developed models makes it advisable to use heuristic solution procedures. We develop a Lagrangean decomposition heuristic. In our heuristic, we divide the problem into two sub-problems, sub-problem 1 is a transportation problem and sub-problem 2 is a combination of a capacitated facility location and production planning problem. Subproblem 2 is further divided by commodities. The algorithm is tested for a number of different scenarios. We also develop a decision support system (DSS) for the biomass-to-biofuels’ supply chain. In our DSS, the main problem is divided into four easy-to-solve supply chain problems. These problems were determined based on our knowledge of supply chain and discussions with the experts from the biomass and biofuels’ sector. The DSS is coded using visual basic applications (VBA) for Excel and has a simple user interface which assists the user in running different types of supply chain problems and provides results in form of reports which are easy to understand.

One of the most common complications for mothers after childbirth is postpartum depression (PPD). This illness can occur in women who have given birth, who have miscarried or who have had a stillbirth. The American College of Obstetricians and Gynecologists (2010) indicate that PPD affects 1 in 8 women. These statistics are disturbing especially when 51 % of women may not be willing to seek treatment for PPD (Beck & Gable, 2001 ). Therefore, the number of women who are experiencing PPD is of national concern. The literature reveals that there is not a standard or protocol for the assessment of PPD symptoms, education delivery, or referral and treatment. With an absence of a standard or protocol, this devastating disorder will continue to go undiagnosed in thousands of women affecting not only their wellbeing but the wellbeing of their families. Nurses are in an optimal position to help prevent and identify women suffering from PPD. Establishing the nurse's role in assessing, educating and referring women and families suffering from PPD will assist in reducing the prevalence of this illness and identifying afflicted women for early intervention. Implementing a standard of practice in PPD assessment, education, and referral will assist healthcare providers in achieving the Healthy People 2010 objective of reducing mental illness and complications due to pregnancy.

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No description available.

No description available.

No description available.

Design frequently involves a series of trade-offs to obtain the "optimal" solution to a design problem. Green roofs have many different characteristics based on a variety of variables. Designers typically weigh the impacts of these characteristics in an implicit process based on intuition or past experience. But since vegetated roofing is a relatively complex and comparatively new technology to many practitioners, a rational, explicit method to help organize and rank the trade-offs made during the design process is useful. This research comprises the creation of a framework diagramming the decision process involved in the selection of vegetated roofing systems. Through a series of expert interviews and case studies, the available knowledge is captured and organized to determine the critical parameters affecting design decisions. A set of six case study projects in North America is analyzed and six critically important evaluative categories are identified: storm water management, energy consumption, acoustics, structure, compliance with regulatory guidelines and governmental incentives, and cost. These six factors are key decision-making parameters in the selection of vegetated roofing systems and they form the basis of this study. They are addressed in the context of a decision support system for green roof designers. A summation of the total importance of the advantages represented by each alternative is used to determine the most feasible green roof system for a particular project. The decision-making framework developed in this dissertation will ultimately be adaptable to digital processing and a computer-based design assistance tool. / Ph. D.

Failure of pipes in water distribution systems is a common occurrence especially in large cities. The failure of a pipe results in: loss of water; property damage; interruption of service; decreased system performance; and the financial cost of restoring the failed pipe. The cost of replacement and rehabilitation in the United States is estimated at 23 plus billion dollars. It is virtually impossible to replace all vulnerable pipes at the same time. As a result, there is a need for methods that can help in progressive system rehabilitation and replacement subject to budgetary constraints. If delaying is considered a good strategy due to the time value of money then, the timing of preventive maintenance becomes a crucial element for system maintenance and operation. The central under pinning element in the decision process for scheduling preventive maintenance is the deteriorating nature of a pipe under a given surrounding. By planning to replace pipes before they fail, proper planning can be put in place for securing of finances and labor force needed to rehabilitate the pipes. With this approach, service interruptions are minimized as the loss of service time is limited to the time used in replacing the pipe. In this research, a mechanistic model for assessing the stage of deterioration of an underground pipe is developed. The developed model consists of three sub-models namely, the Pipe Load Model (PLM), the Pipe Deterioration Model (PDM), and the Pipe Break Model (PBM). The PLM simulates the loads and stresses exerted on a buried water main. These loads include the earth load, traffic load, internal pressure, expansive soil loads, thermal, and frost loads. The PDM simulates the deterioration of the pipe due to corrosion resulting from the physical characteristics of the pipe environment. The pipe deterioration effect is modeled in two stages. First, the thinning of the pipe wall is modeled using a corrosion model. Second, the localized pit growth is used to determine the residual strength of the pipe based on the fracture toughness and the initial design strength of the pipe. The PBM assesses the vulnerability of a pipe at any time in terms of a critical safety factor. The safety factor is defined as the ratio of residual strength to applied stress. For a conservative estimate the multiplier effect due to thermal and frost loads are considered. For a chosen analysis period, say 50 years, the pipes with safety factors less than the critical safety factor are selected and ordered by their rank. Aided by the prioritized list of failure prone pipes, utilities can organize a replacement schedule that minimizes cost over time. Additionally a physically based regression model for determining the optimal replacement time of pipe is also presented. A methodology for assessing the consequences of accelerated and delayed replacement is also provided. The methodologies developed in this dissertation will enable utilities to formulate future budgetary needs compatible with the intended level of service. An application of the model and results are included in the dissertation. / Ph. D.

TEAMDEC is a Group Decision Support System (GDSS). The development of a GDSS is supported by a broad spectrum of theories and techniques. Two major aspects of GDSS development were considered in TEAMDEC design: HCI and decision-making assistance. These two aspects interact to promote an interactive group decision support system with high quality. Decision guidance using a script-based knowledge representation improves the GDSS's efficiency, effectiveness, and flexibility. The traditional script, however, is relatively inflexible. The proposed application, TEAMDEC, provides a set of solutions to support customization in a script system to enhance the decision guidance utilization. The user interface design plays an important role in the overall system design. Two software development models (lifecycle model and V-model with backtracking) are adopted for TEAMDEC development. The user interface design of TEAMDEC is considered from three perspectives: functional, aesthetic, and structural. Quality is emphasized in the development of the interactive system. It can be measured from two perspectives: those of the user and the designer. The quality measures of TEAMDEC are categorized into external properties and internal properties, corresponding to the two perspectives. / Master of Science