3 resultados para Multi Criteria Analysis

em Academic Archive On-line (Mid Sweden University


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A public organization has a section for customer service which is responsible of order entry from customers concerning errands within real estate and business equipment, cleaning, transport operations and handicap appliance. According to the co-ordinators in hospitals within the organisation the customers are requesting for staff to talk to physically, meaning a person to speak with face to face. The customers experiencing that it’s sometimes difficult to call customer service or use the web form, which is the only communication paths in the current situation. Proposed changes presented claim that a complement to customer service with local service centers in every hospital. The purpose of this study is to evaluate a change proposition by weigh between efficiency and working environment, this by using multi-criteria analysis. To achieve the goal a decision model is designed in the decision tool DecideIT. The aim of the study is to recommend decision makers to choose one of the options based on as rational grounds as possible. The result of the study showed that the preferred alternative is not to supplement customer service with local service centers. For the most part, the result depending on the survey (represented result from working environment criteria) which showed that the majority of customers do not request a person to speak with face to face at all.

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This thesis deals with control of stock in an inventory, focusing on inventory placement. The purpose of this thesis is to reduce the transport distance within the main stock house while gathering inventory. This will be achieved by reconstructing the inventory placement in consideration with how frequently the inventories get picked and mass of the inventory. In particular, the literature and the data that is collected from the company´s business system have laid the foundation for the thesis. In general, interviews and observations also contributed to the data collection. To fulfill the aim and to produce arbitrary results, two issues have been developed regarding which attributes that should determine the position of the inventory in the stock house and how to obtain a more effective inventory structure? The authors have jointly produced a result of suggestions for future inventory placement in terms of picking frequency and weight. Initially a situation analysis was conducted to identify known problems with the inventory´s placement and storage systems. The problems that were identified were that the inventory placement has no consideration regarding picking frequency. To determine the most frequent picked inventory an ABC analysis was conducted. All of the inventories were spread out throughout the whole stock house. To take in account, the additional criterion, which was weight, a multi-criteria analysis was performed in combination with the ABC analysis. The results of the combined analysis provided that the basis for drawing up concepts for future inventory placement. The proposal includes optimized inventory placements in different zones of the most frequently picked inventory with weight as an additional criterion.

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Nowadays, a lot of interesting and useful and imaginative applications are springing to Android software market. And for guitar fans, some related apps bring great connivence to them, like a guitar tuner can save people from carrying a entity tuner all the time, some apps can simulate a real guitar, and some apps provide some simple lessons allowing people to learn some basic things. But these apps which can teach people, they can't really “monitor ” people, that is, they just give some instructions and hope people would follow them. So my project is to design an app which can detect if users are playing wrong and right real-timely. Guitar chords are always the first for new guitar beginners to learn, and a chord is a set of notes combined together in a regulated way ( get from the music theory having millions of developing ), and 'pitch' is the term for determining if the note different from other notes or noise, so the problem here is to manage the multi-pitch analysis in real time. And it's necessary to know some basics of digital signal processing ( DSP ) because digital signals are always more convenient for computers to analyze compared to analog signals. Then I found an audio processing Java library – TarsosDSP, and try to apply it to my Android project.