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dc.creatorDrzymalski, Julie
dc.date.accessioned2021-06-07T14:30:49Z
dc.date.available2021-06-07T14:30:49Z
dc.date.issued2020
dc.identifier.citationDrzymalski, Julie. Syllabus for Stochastic Methods in Operations Research, Department of Industrial and Systems Engineering, Temple U, Philadelphia, Spring 2021.
dc.identifier.urihttp://hdl.handle.net/20.500.12613/6599
dc.descriptionProbabilistic techniques of operations research. Topics include the applications of Markov chains, queueing and inventory control models to analyze and evaluate systems performance. Other topics include introduction to stochastic processes, review of probability, Markov chains and classification of their states, long-run Markov chains and applications, introduction to queueing theory, birth and death process, applications of queueing theory, introduction to inventory theory, components of inventory models, deterministic inventory models, stochastic inventory models, and introduction to forecasting.
dc.format.extent6 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofTextbook Affordability Project (TAP)
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/
dc.subjectOperations research
dc.subjectStochastic processes
dc.subjectQueuing theory
dc.titleSyllabus: Stochastic Models in Operations Research, ISE 3102 (Spring 2021)
dc.typeText
dc.type.genreSyllabus
dc.description.departmentEngineering, Management & Technology
dc.relation.doihttp://dx.doi.org/10.34944/dspace/6581
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Engineering
dc.description.sponsorTemple University Libraries Textbook Affordability Project, 2020 (Philadelphia, Pa.)
dc.temple.creatorDrzymalski, Julie
refterms.dateFOA2021-06-07T14:30:49Z


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