We aim to classify alternatives evaluated in multiple criteria among preference ordered classes assuming an underlying additive utility function. We develop a probabilistic classification method by calculating the probability of an alternative being in each class. We assign alternatives to classes based on threshold probabilities. We require the decision maker to place an alternative to a class when no alternatives satisfy the required thresholds. We find new probabilities for unassigned alternatives in the light of new information and repeat the procedure until all alternatives are classified. We implemented our algorithm to classify MBA programs among preference ordered groups. We evaluate our algorithm based on the number of misclassified alternatives and the number of alternatives placed by the decision maker.

This study addresses sorting problems with predefined ordinal classes. We develop a new method based on Support Vector Machine (SVM) model, which is mainly used for nominal binary or multi-class classification processes. In the proposed method, the SVM model is extended to include the preferences of the decision maker and the ordinal relationship between classes in sorting problems. New sets of constraints are added to the SVM model. We demonstrate the performance of the proposed method through several data sets. We compare the results with those of classical SVM model and UTADIS method, a well-known multiple criteria sorting method. We also analyze the effect of feature space mapping by Kernel Trick utilization on the results.

The purpose of this study was to identify those elements of the Baldrige Education Criteria for Performance Excellence that central office leaders, principals, and teachers perceive as having an impact on collective teacher efficacy. The study determined if there was a relationship between the perceptions of central office leaders, principals, and teachers concerning the implementation of the criteria, the difficulty of implementation, and the impact of implementation on collective teacher efficacy. The population for this study included sixty individuals from three school districts from Texas, North Carolina, and New Mexico who have implemented the Baldrige Education Criteria for Performance Excellence for a minimum of five years. The Delphi Technique was used for the study utilizing a questionnaire linked to six of the seven categories of the Baldrige Education Criteria for Performance Excellence. Quantitative data was analyzed using descriptive statistics, which were reported using numerical and graphic techniques. The key findings of this study suggest that the Baldrige Education Criteria for Performance Excellence, which the three study school districts chose as a framework for improving organizational performance, has had a perceived positive impact on collective teacher efficacy. The following conclusions were drawn from the data analysis: ?? Implementation of the Baldrige Criteria requires a long-term commitment, ?? Districts committed to implementation of the criteria develop systematic approaches to management processes, persevere in their deployment, and continually assess performance to determine areas for improvement. ?? The difficulty of implementation of the criteria relates to the effort required to align and deploy systematic approaches throughout the organization. ?? Commitment and implementation begins at the senior leadership level of central office and cascades through the organization to principals and classroom teachers. The extent to which systematic management approaches have been deployed to the classroom teacher level determines the level of impact of implementation on collective efficacy. ?? The Baldrige Education Criteria for Performance Excellence provide a framework for school districts to improve organizational performance from a systems perspective to achieve organizational and student success. ?? The more mature a district??s deployment/implementation of the criteria, the greater the impact on collective teacher efficacy.

Selection of the right machine tools is an important decision for most manufacturing companies. The quality and efficiency of manufacture are affected by the correct adoption of machine and equipment, and it will result in reducing the cost, increasing the production, and enhancing the flexibility for the diverse type of machining parts in this competitive globalized environment. On the contrary, an incorrect selection can retard the productivity of company. This research presents the procedures of AHP method for selecting 4-axis CNC machining centers including searching the literature of selecting machines, consulting experts with abundant experience of machine tool, translating the unstructured and biased commercial specification to the objective and hierarchical evaluation criteria for selecting machines. In order to experiment the applicability of the AHP model as well as to realize the relative importance of the criteria for the mold design and manufacturing company, a company was invited as the survey objective. This method proposed in this research is general in form and can be applied to the selections of other machine tools for other manufacturing industries. Also, it is hoped that the results of this experimental study will provide a reference for the domestic machinery manufacturing company to develop 4-axis CNC machining centers.

The stress and fatigue analysis of roller chain under varied loading is investigated in this study. With the dynamic responses of a gear-cam intermittent mechanism, boundary conditions are set up to the finite element model. The commercial MARC finite element method package is used in this work. Stress distribution is our concern. ASME elliptic equation and AGMA allowable contact stress criteria are employed in the fatigue analysis. Results indicate that the maximum of von Mises stress occurs on the contact surface between pins and plates. Besides, the initial failures on this loading are predicted to happen on the plates according to the fatigue analysis.

The use of architectures for the design, development, and documentation of system-of-systems engineering has become a common practice in recent years. At the same time, acquisition guidance has been recently reformed to move from the bottom-up approach of the Requirements Generation System (RGS) to the top-down approach mandated by the Joint Capabilities Integration and Development System (JCIDS), which requires the use of DoDAF to support acquisition. Defense agencies have had difficulty adjusting to these new policies, and are struggling to determine how to meet new acquisition requirements. This research has developed the Architecture-based Technology Evaluation and Capability Tradeoff (ARCHITECT) Methodology to respond to these challenges and address concerns raised about the defense acquisition process. The methodology integrates existing tools and techniques for systems engineering and system of systems engineering with several new modeling and simulation tools and techniques developed as part of this research to fill gaps noted in prior CBAs. Additional criteria for the methodology were developed by leveraging lessons learned from similar fields, including management science and cognitive psychology. A suppression of enemy air defenses (SEAD) mission is used to demonstrate the application of ARCHITECT and to show the plausibility of the approach. Overall, it is shown that the ARCHITECT methodology results in an improvement over current CBAs in the criteria developed here.

An Architecture Real Options Complexity-Based Valuation Methodology (ARC-VM) is developed for use to aid in the acquisition of military systems-of-systems (SoS). ARC-VM is suitable for acquisition-level decision making, where there is a stated desire for more informed tradeoffs between cost, schedule, and performance during the early phases of design. First, a framework is introduced to measure architecture complexity as it directly relates to military SoS. Development of the framework draws upon a diverse set of disciplines, including Complexity Science, software architecting, measurement theory, and utility theory. Next, a Real Options based valuation strategy is developed using techniques established for financial stock options that have recently been adapted for use in business and engineering decisions. The derived complexity measure provides architects with an objective measure of complexity that focuses on relevant complex system attributes. These attributes are related to the organization and distribution of SoS functionality and the sharing and processing of resources. The use of Real Options provides the necessary conceptual and visual framework to quantifiably and traceably combine measured architecture complexity, time-valued performance levels, as well as programmatic risks and uncertainties. An example suppression of enemy air defenses (SEAD) capability demonstrates the development and utility of the resulting architecture complexity&Real Options based valuation methodology. Different portfolios of candidate system types are used to generate an array of architecture alternatives that are then evaluated using an engagement model. This performance data is combined with both measured architecture complexity and programmatic data to assign an acquisition value to each alternative. This proves useful when selecting alternatives most likely to meet current and future capability needs.

<p>Based on current competitive market, supply chain becomes to be more and more important to overall corporate strategy. Finding good suppliers makes much more senses for the companies nowadays as purchasing is one of the basis parts on the upstream of the supply chain.</p><p>China has been very successful on turning itself into a production powerhouse in just two decades, so how to find and select the convenient suppliers in China is a very important and modern topic.</p><p>The thesis has been starting with the introduction part, where the importance of outsourcing, Chinese current manufacturing capabilities and some other factors will be introduced. Besides, the purpose of this thesis is to study and analysis the criteria and processes are used by PCH International on the selection of suppliers in China. The authors try to understand how foreign companies find the right Chinese suppliers based on a case studying, which is PCH International, an Irish company.</p><p>Within the theoretical framework part, the authors discussed the supplier selection criteria firstly, which are very important and necessary to evaluate suppliers’ performances. Then the thesis was provided with an insight into some common theoretical methods, which followed by the supplier selection processes. Total Cost of Ownership, Data Envelopment Analysis and Mathematical Programming are presented in basic term. The part in the theoretical review was informed about the structure of the supplier selection process, starting with the preparation step, followed by prequalification and evaluation steps and resulting in the final selection of the suppliers.</p><p>In the methodology part, the approach for the research will be presented, it will be divided into four parts, which are choice of topic, choice of method, data collection, research’s validity and reliability.</p><p>The empirical finding part consists of practical information which was provided by the case company mentioned above through questionnaires and interviews. The values of the evaluation criteria are depend on the respective goals.</p><p>For data analysis, the theoretical evaluation models, on the other hand, are not used by this case. The company uses their own methods which are presented in the empirical part as well as in the analytical part of this thesis, the reasons will be describe carefully in this chapter.</p><p>Finally, this thesis ends with a conclusion, which with the answer of the research question.</p>

<p>Recently many academic researchers have become interested in the retailers as part of the distribution channel. Today retailers have grown so influential, that sometimes they take the functions of the wholesalers. The retailers constitute the road for manufacturers to the end market. Therefore, knowing retailers’ decision variables and assortment considerations is important for manufacturers when designing upon their marketing strategies. The study is conducted with focus on the Bulgarian office products retail industry. The purpose of the present research is to get a deeper understanding of retailers’ assortment criteria and analyze how the latter relates to market coverage strategy. Retailers’ assortment criteria concern decision variables such as profitability and sales, economic conditions, assortment considerations, consumer evaluation, marketing, supplier characteristics, competitive considerations, distributive factors, tactical considerations. The meaning underlying the assortment criteria is applied for arguing what market coverage strategy would best serve the Bulgarian retailers of office products. The research is performed employing qualitative method, in particular, in-depth semi- structured interviews providing the possibility for a broad discussion.</p><p>The results of the study revealed some common patterns pertaining to four main inductive categories including product, brand positioning, promotion and distributor’s attributes. The patterns corresponding to the categories were further related to the market coverage strategy alternatives, namely, intensive, selective and exclusive coverage strategy. The results of the study showed that the nature of the product requires considerable effort from the distributors’ side to persuade the retailers to become customers who are aware of the products’ attributes. In other words, the nature of the office products calls for certain knowledge and skills that the retailers have to gain in order to be successful as traders to their own customers and that can be best achieved if selective coverage strategy is employed. Further, the results of the study reveal that manufacturers of office products that would like to position their brands on the high quality dimension should pursue highly selective distribution as this creates a superior product image. The results of the study also show that greater selectivity is suitable since it guarantees that the retailers’ requirements related to promotion are met. Last, the authors suggest that higher degrees of selectivity is the most appropriate way for a manufacturer to follow the performance of distributors and thus, to ensure that the desired by the retailers distributor’s attributes are present.</p>

<p>Safety analysis is a process involving several techniques.The purpose of this thesis is to test and develop methodssuitable for the safety analysis of railway risks and railwaysafety measures. Safety analysis is a process comprisingproblem identification, risk estimation, valuation of safetyand economic analysis. The main steps are described in separatechapters, each of which includes a discussion of the methodsand a review of previous research, followed by the contributionof this author. Although the safety analysis proceduredescribed can be used for analysing railway safety, it has suchgeneral foundations that it can be used wherever safety isimportant and wherever safety measures are evaluated. Itcombines cost benefit analysis with criteria for thedistribution and the absolute levels of risk.</p><p>Risks are estimated with both statistical and risk analysismethods. Historical data on railway accidents are analysed andstatistical models fitted to describe trends in accident ratesand consequences. A risk analysis model is developed usingfault tree and event tree techniques, together with Monte Carlosimulation, to calculate risks for passenger train derailments.The results are compared with the statistical analysis ofhistorical data.</p><p>People's valuation of safety in different contexts isanalysed, with relative values estimated in awillingness-to-pay study. A combination of focus groups andindividual questionnaires is used. Two different methods areused to estimate the value of safety and the results arecompared. Comparisons are also made with other studies.</p><p>Different approaches for safety analysis and methods foreconomic analysis of safety are reviewed. Cost-benefit analysisas a decision criterion is discussed and a study on theeconomic effectsof a traffic control system is presented.</p><p>There are several results of the work. Historical data showsa decrease in the accident rate. The average consequence ofeach accident has not changed over time. The risk analysismodel produces comparable results and enables analysis ofvarious safety measures. The valuation study shows that peopleprefer the prevention of small-scale accidents over theprevention of larger, catastrophic accidents. There are onlysmall differences in the valuation of safety in differentcontexts.</p>