Distributing portuguese table wine in the USA : José Maria da Fonseca, starting in Azeitão and managing foreign distribution channels

José Maria da Fonseca is the Portuguese company in which this teaching case in based on. The Case Study is followed by a teaching note, and is intended to support Marketing classes, both in undergraduate or graduate levels. The company, the oldest table wine producer in the country and owned by the same family for seven generations, exports more than 70% of its production. It has clear international roots, exporting since the nineteenth century. Among its main markets there are countries as different as Brazil, Sweden, Canada or the United States of America. The focus of this case study is on the U.S. market. In 2011 the U.S. was the major wine consumer in the world, particularly diverse concerning the population and with State-specific regulations in what comes to distribution. The three-tier distribution system and all the collected taxes increase the complexity of the exports to this market and turn price into a very sensitive element to distribution changes. In order to find the best approach to increase the success in such an overseas market, JMF Marketing Director goes, during the case, through an analysis of the marketing environment, consumer trends and competition. Particularly considering the importance of a Representative in the overseas market, and the key relevance of relationships with the chosen Distributor, students are invited to equate different distribution possibilities and advantages, the resulting prices and the adequateness of the Product Portfolio to the segments, their needs and the competitive environment. This case provides students, mainly those in the Marketing field, with an opportunity to increase their experience on marketing strategy issues in exporting, understanding issues that firms face when formulating an implementing marketing plans, particularly in what comes to distribution and product. Recommendations cover topics such as product line stretching, different disintermediation levels and pricing calculations supported by quantitative and qualitative data. Getting closer to real-life business decisions in export markets, the case readers are given the tools to solve the presented dilemma and recommend the case protagonist the most strategically defensible action possibility

Penjadwalan Mata Pelajaran Menggunakan Algoritma Particle Swarm Optimization (PSO) Pada SMPIT Mufidatul Ilmi

Scheduling has a division of time based on a work sequence arrangement plan in the form of a list or table of activities or an activity plan with a detailed division of implementation time which is very necessary in carrying out institutional/company business processes. It is important to note the complexity of the process in scheduling appropriate subjects from various perspectives, both teachers, students and classrooms. Provision of teacher teaching schedules based on abilities in the field of subjects, suitable time each semester is very important to consider for very complex schedule arrangements, the number of classrooms that can be used in teaching activities is relatively small, and preventing teacher teaching conflicts so that the need for optimization of eye scheduling lesson to be made. Furthermore, at the stage of application development using the Waterfall method. The purpose of this research is to build a lesson scheduling application at SMPIT Mufidatul Ilmi by applying the particle swarm optimization (PSO) algorithm to compile lesson schedules. Particle Swarm Optimization is a population-based algorithm that exploits individuals in search. In PSO the population is called a swarm and individuals are called particles. Each particle moves at a speed adapted from the search area and stores it as the best position ever achieved. Design analysis includes Use Case Diagrams, Activity Diagrams, Class Diagrams, Sequence Diagrams, Entity Relationship Diagrams (ERD). The results of this study provide several primary data (service) features, especially features to provide scheduling results from processing with the PSO algorith