The future of any high school student depends mostly on selecting the right place to study after graduating from high school. Most high school graduates are lost in selecting their right path in Kuwait due to increasing number of university or college alternatives. This paper explains development of a decision support tools that helps high school fresh graduates to choose the best university or college in Kuwait based on their preferences. To choose the right university to apply, there are many decisions that should be taken into considerations. These decisions are related to variety of universities/colleges and the students' preferred criteria. Decisions upon which university should be selected depends on a list of criteria's, this makes the problem is a multiple criteria decision making (MCDM) problem. A Decision Support System (DSS), more specifically, a knowledge-driven DSS is developed to consider this problem. Analytic Hierarchy Process (AHP) is a MCDM process that is chosen to provide alternative solutions for the students based on their several criteria's. Microsoft excel is used in applying AHP, and a Website is built to represent the future business. Index Terms-Analytical hierarchy process, decision support system, multi-criteria decision making, university/college selection problem. I. INTRODUCTION Nowadays people face different kinds of selection problems such as; selecting the right car, house, phone, and universities. Most of students are faced to the university selection problem after graduating from high school by deciding where to continue their education. In Kuwait, there are many options of universities/colleges, which put the students in confusion, and they start to wonder where to go, which university, or college fits them the most, and how to take into consideration all the fact that will lead them to the Manuscript

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Health care delivery systems have gone through rapid changes in the last decade. As a result of these changes, researchers have conducted many studies on hospital resource planning, more specifically, on hospital bed planning. In this article, the strategic emphasis is on the primary care bed needs in the state of Oklahoma. Unlike most studies, this study focuses on designing an ideal primary care service delivery system, rather than evaluating the effec tiveness of the current system. The state is parti tioned into a minimum number of primary care ser vice centers satisfying accessibility constraints to assure quality service. A simulation model of the system is used to determine the minimum number of primary care beds needed in the state to provide service at targeted service levels at these centers. The results of the ideal scenario will give health care managers and planners a new perspective and help them in making strategic planning decisions in the future.

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