ERP¡]Enterprise Resource Planning¡^comes from manufacturing industry at first. When the times develope, it hasn¡¦t the only patent in manufacturing industry. It changes the basic IS for all kinds of industries.In the past, the related topics for the researches of the the academic circle surrounded with the topics of ERP selecting and CSF. There are very fewer related researches for how to understand and how to select ERP consultant and Consultant Company.Because the academic and the industry circle recently understand the importance of consultant, consultant for ERP implementing is the success and failure role. Base on these reasons, those cause this research to discuss the topic of ERP consultant and Consultant Company. The purpose of this research is arranging and analysising the crieteria of selecting consultant and Consutant Company by collecting records¡Bexpert interviews and questionnaire. The research uses case studey to help for the case enterprise to select the most suitable ERP consultant by ELECTRE I and provides the rational decision structure and basis for the companies that want to implement ERP. At last , the case has selected JDE from the three consultant companies of Oracle¡BJDE and Proyoung. The result of this research mainly provides feasibility evaluation model. When company considers which consultant and Consultant Company to select, he can refer this crieteria and importance from this research. The company also finds the most suitable Consultant Company by using the methods and procedures from this research.

In this e-commerce era, Enterprise Resource Planning (ERP) has been viewed as the entering cost for conducting the business and establishing contact with others. ERP system is very expensive and enormous complex package software, and applies the best business practice with partial adjustment and integration to suit for the operation of different enterprises. But due to the characteristics of high investement, high complexity and high risk of failure of ERP systems, misfits have been one of important issues for the implementation of ERP systems. Therefore, the selection of an appropriate ERP system has become the key factor leading to the eventual success of an ERP system implementation. And we select an appropriate ERP system by studing a case that uses ELECTRE I as evaluating tool. This paper first identifies a set of evaluating criteria based on the extensive literature review and the considerat5ion of the environment and characteristics of ERP systems. Once the list was generated, an iterative process of personal interview with the consultant, suppliers, users and managers was conducted to modify the evaluating criteria in order to insure the integrity of it. The result of this study is not only can contribute to the understanding of the functionalities of an ERP system, but also can provide a practical guideline for the selection of an ERP system.

Along with the rapid expansion of information technology and the urgent demand of Decision Support System, only in a few years, data warehouse have been converting absolute theory into practical technology. More and more enterprises have been plunging into the data warehouse system for supporting business process and decision. Data warehouse system does transfer big data of enterprise to useful resource or information and will not impact current history data. The data warehouse depends on enterprise various demands and plays the role of Decision Support System. It is the reason that enterprise pays attention and positive investment. This paper identifies as a set of evaluating criteria on the literature review and consults the expert to decide vendor level, design the questionnaire and retrieve weight. At last the paper uses the real case evaluating data warehouse system by ELECTRE I. The result of this study can not only contribute to the understanding of functionalities of a data warehouse system but can provide a practical guideline for selection of a data warehouse system.

The use of goal programming in various real-world areas - including resource allocation, engineering, agriculture and other applications - has increased a lot in the past few years. The aim of this dissertation is to investigate goal programming approaches in determining prices. Various aspects of price determination - such as cosls, existing prices, competitors' prices, volume change due to price change and other aspects are incorporated in the model in order to suggest reasonable and realistic prices. Taking just these factors into account will not completely solve the problem, as there are usually certain goals that the decision maker would like to achieve. For example, the decision maker would probably like to attain an acceptable pre-specified minimum profit level without adjusting current prices too much whilst keeping prices competitive to insure that customers are not lost in the process of change. In this study, a goal programming model is developed for the determining of products' prices with consideration of these goals. The model makes provision for the change in demand due to the change in prices. / Mini-dissertation (M.Com. (Computer Science))--North-West University, Potchefstroom Campus, 2007.

The use of goal programming in various real-world areas - including resource allocation, engineering, agriculture and other applications - has increased a lot in the past few years. The aim of this dissertation is to investigate goal programming approaches in determining prices. Various aspects of price determination - such as cosls, existing prices, competitors' prices, volume change due to price change and other aspects are incorporated in the model in order to suggest reasonable and realistic prices. Taking just these factors into account will not completely solve the problem, as there are usually certain goals that the decision maker would like to achieve. For example, the decision maker would probably like to attain an acceptable pre-specified minimum profit level without adjusting current prices too much whilst keeping prices competitive to insure that customers are not lost in the process of change. In this study, a goal programming model is developed for the determining of products' prices with consideration of these goals. The model makes provision for the change in demand due to the change in prices. / Mini-dissertation (M.Com. (Computer Science))--North-West University, Potchefstroom Campus, 2007.

Telecommunications infrastructure is recognised as the fundamental factor for economic and social development for it is the platform of communication and transaction within and beyond geographical boundaries. It is a necessity for social benefits, growth, connection and competition, more in the rural communities in developing countries. Its acquisition entails great investment, considering the emergence of various technologies and thereby making the selection a critical task. The research described in this thesis is concerned with a comprehensive examination and analytical procedures on the selection of technologies, for rural telecommunications infrastructure. A structured systematic approach is deemed necessary to reduce the time and effort in the decision-making process. A literature review was carried out to explore the knowledge in the areas of Multi-Criteria Decision-Making (MCDM) approaches, with particular focus on the analytical decision processes. The findings indicate that, the Analytic Hierarchy Process (AHP)/AnalyticNetwork Process (ANP) are powerful decision methods capable of modelling such acomplex problem. Primarily, an AHP model is formulated, however, since the problem at hand involves many interactions and dependencies, a more holistic method is required to overcome its shortcomings by allowing for dependencies and feedback within the structure. Hence, the ANP is adopted and its network is established to represent the problem, making way to telecommunications experts to provide their judgements on the elements within the structure. The data collected are used to estimate the relative influence from which the overall synthesise is derived, forming a general ANP model for such a rural telecommunications selection problem. To provide a more wide-ranging investigation regarding selecting a potential rural telecommunications infrastructure, another systematic analysis that utilises a BOCR-based (Benefits, Opportunities, Costs and Risks) ANP was conducted. The obtained results indicate that Microwave technology is the most preferred alternative within the context of the developing countries. Sensitivity analysis was performed to show robustness of the obtained results. This framework provides the structure and the flexibility required for such decisions. It enables decision makers to examine the strengths and weaknesses of the problem, by comparing several technology options, with respect to appropriate gauge for judgement. Moreover, using the ANP, the criteria for such a technology selection task were clearly identified and the problem was structured systematically. A case study was carried out in Libya involving its main telecommunications infrastructure provider to demonstrate how such rural technology selection decisions can be made within a specific developing country's rural area. Based on the results of this case study that were in agreement with the focus group's expectations, it can be concluded that the application of the ANP in the selection of telecommunications technology, is indeed beneficial. In addition, it is believed that telecommunications planners could, by the use of data pertaining to another rural area, utilise the developed model to propose appropriate solutions. If new criteria and/or alternatives emerge to satisfy changing business needs, they can also be included in the ANP model.

Ingeniera Civil Industrial / El presente estudio tiene por objetivo desarrollar e implementar una metodología de priorización de infraestructura hidráulica de riego, de forma que los proyectos de embalses sean estudiados y evaluados en su contexto. Para la elaboración de la herramienta de priorización, se utilizó el método MCDM, el cual corresponde a un enfoque que permite comparar alternativas en base a múltiples atributos y características. Entre los métodos estudiados, se optó por la metodología AHP para determinar los ponderadores, ya que permite incluir, de forma simultánea, características cuantitativas y cualitativas dentro de un mismo modelo. Se desarrolló un modelo con 5 niveles de criterios y subcriterios. En el primer nivel se especifica el objetivo del estudio. En el segundo nivel jerárquico, se consideran los criterios macro, los cuales corresponden a factores de desarrollo y estratégicos. Los criterios de desarrollo están asociados directamente con las características de los proyectos en sí y los criterios estratégicos corresponden a aspectos políticos y administrativos. En el tercer nivel se identifican los factores económico, social y ambiental. El subcriterio económico busca medir las rentabilidades y riesgos del modelo, el subcriterio social incluye los impactos que este tipo de obras tienen sobre las comunidades y el subcriterio ambiental buscar medir el impacto que tienen los embalses en el territorio donde estos se localizan. Este modelo fue aplicado en cuatro proyectos de embalses, a través del cual se obtuvo un Índice Multi-Criterio (IMC), donde a mayor IMC, mayor prioridad tiene el proyecto. Los resultados obtenidos son: en primer lugar el Embalse A, seguido del Embalse C, luego se encuentra el Embalse B y, en último lugar se encuentra el Embalse D. Los resultados muestran que los métodos multicriterio de priorización permiten incluir características cualitativas y cuantitativas de forma simultánea en un modelo. Sin embargo, es necesario perfeccionar este tipo de metodologías en aspectos tales como la selección de criterios, subcriterios e indicadores, de forma que los proyectos de embalses no sean sub o sobre valorados. Adicional a esto, para la correcta aplicación de la metodología multicriterio, es necesario disponer de información actualizada tanto de los proyectos, como de las comunidades y territorio donde estos se localizan.

Signal Replacement decisions are often made based on the experience of the Traffic Engineers. These decisions are made while considering the deployment time of the system, the new technology available, and the performance of the system in the given location. However, there is no set of proper guidelines or methods which can quantify the system replacement decision in large scale projects. This thesis presents a methodology that can be applied to determine optimal migration plans for traffic signal controllers. A Multi-Criteria Decision Making technique has been adopted to evaluate various traffic signal controllers. Various controller manuals were studied and information was obtained from the vendors of the controllers. In addition to that, Geographic Information System (GIS) has been used as a tool to evaluate and identify the areas where the traffic signal controllers have to be replaced first. The study considers the budget constraints and the benefits that can be obtained by the replacement of the controllers. This thesis presents the Methodology adopted for the Migration Plan and a case study implementation on the Northern Virginia Region. Finally it presents the conclusions drawn from the research with insights into the scope for further research. / Master of Science

The aim of this diploma thesis is to devise general evaluation procedure of current accounts for associations and then to compare the theoretical results with the results of the questionnaire survey. The aim of the questionnaire survey is to find out what accounts the associations use and why. The theoretical part of this thesis is focused on the scientific discipline called multi-criteria decision making, its basic terminology, the methods of setting the criterions' weights and selected multi-criteria decision making methods. Finally, the associations are described according to valid legislation. In the practical part, selected accounts for specific clients are evaluated by using three multi-criteria decision making methods and the questionnaire survey is evaluated too. The conclusion is dedicated a comparison of the theoretical evaluation results with the questionnaire survey results and the author's own view of this issue. Familiarization of the author with the associations' activities during a personal meeting with them is the main benefit of this thesis for the author. The finding that the accounts of some of them are not as advantageous as they were before is the benefit for the associations. Some of them decided to visit their bank and change the account to the account recommended by the author.

The increasing global deficit of healthcare resources makes efficiency improvements in the healthcare industry a complete necessity to assure safe and available healthcare for everyone. Digitalization is expected to play a fundamental role in this transition and digital primary healthcare providers have in recent years developed into a substantial part of the Swedishprimary care sector. Several of those have built solutions for automated triage, where the role of a triage officer in traditional primary care is replaced by an automated process, in which an triage algorithm directly refers the patient to the appropriate level of care. Despite the rise of digital healthcare providers and automated primary care triage systems in particular, research on the implications of automating the triage process in primary healthcare is scarce. This study aims to assess the potential of using MCDM models for automated triage in digital primary care, by conducting a single case study at one of the leading digital healthcare providers. The study is separated into two phases. In phase one, interviews are conducted to qualitatively determine what set of factors to include in an automated MCDM triage model.In phase two, the resulting model is simulated to evaluate the performance compared to the traditional triage model in which all patient journeys start with an initial nurse meeting. The study shows that an automated MCDM triage model can improve cost efficiency in terms of clinician salary costs and productivity in terms of fewer consultations per patient, compared to the traditional triage model. However, the traditional triage model is shown to be more efficient in terms of only utilizing doctor resources for patients in absolute need of doctor care. / Det ökande underskottet av sjukvårdsresurser gör effektivitetsförbättringar i sjukvårdsbranschen nödvändigt för att säkerställa säker och tillgänglig sjukvård för alla. Digitalisering förväntas fylla en fundamental roll i denna transformation och digitala vårdgivare i primärvården har under de senaste åren växt till en betydande del av den svenska primärvårdssektorn. Flertalet av dessa har byggt lösningar för automatiserat triage, där triagefunktionärens roll ersätts av en automatiserad process där en triagealgoritm direkt hänvisar patienten till den lämpliga vårdnivån. Trots tillväxten av digitala vårdgivare i primärvården och deras automatiserade triagesystem i primärvården är forskning kring effekterna av att automatisera triageprocessen i primärvården begränsad. Denna studie strävar efter att utvärdera potentialen i att använda MCDM-modeller för automatiserat triage i den digitala primärvården genom en casestudie på en av de ledande digitala vårdgivarna i primärvården. Studien är uppdelad i två delar. I del ett genomförs intervjuer för att kvalitativt fastställa vilka faktorer som bör inkluderas i en automatiserad MCDM-modell för triage. I del två simuleras den resulterande MCDM-modellen för att utvärdera dess resultat jämfört med den traditionella triagemodellen i vilken alla patienter har ett inledande möte med en sjuksköterska. Studien visar att en automatiserad MCDM-modell för triage kan förbättra kostnadseffektiviteten i termer av lönekostnader och produktivitet i termer av färre konsultationer per patient, jämfört med den traditionella triagemodellen. Däremot visar den traditionella triagemodellen högre effektivitet i termer av att enbart utnyttja läkarresurser för patienter i absolut behov av läkarvård.