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Queueing-Inventory System with Two Commodities
No full textA two-commodity inventory system with a single server is considered in this paper. We assume that the capacity of the buffers (to store the two types of commodities) to be finite. Customers (or demands) arrive according to a Poisson Process and the requirement for either type or both type of commodities are modelled using certain probabilities. Customers are lost when their demands are not met due to shortage only at the time of service offerings as opposed to getting lost when the inventory level is zero at the time of arrival. This is to allow the possibility of inventory being replenished prior to offering services to those who arrive when the inventory level is zero. A customer’s demand for both items may be met with only one item should a situation in which there is only one type of inventory is positive and the other is zero at the time of initiating a service occurs. The processing time for meeting the demands are random and modelled using exponential distribution with parameters depending on the type of demands being processed. We adopt (s, S)-type replenishment policy which depends on the type of commodity. Assuming the lead times to be exponentially distributed with parameters depending on the type of commodity, we employ matrix-analytic methods to study the queueing inventory system and report interesting results including an optimization dealing with various costs
11/14/2018: MS Data Science Paperwork
No full textMaster of Science in Data Science is a new program that will be administered by the Computer Science Department, It is multi-disciplinary, including courses from Computer Science, Mathematics, and Liberal Studies. Computer Science courses include CS-541, CS-565, CS-651, CS-661, CS-682 (CS-482), CS-690, CS-691, and CS-693. Mathematics courses include MATH-627 and MATH-637. Liberal Studies provides the course COMM-601. The UCC paperwork for the CS courses are provided for this proposal.
Data Science is a very highly sought program, with graduates in high demand, and the analysis of this program is provided with the attached document
11/14/2018: Course Change Form CS 691
No full textThis course is in support of the Data Science graduate program
