Kimbourgh, Steven Orla Primary Author mixed material bibliography New York CRC Press 2016 monographic en English

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307p The first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. Decision Making 658.40389781482221763 Podomoro University Digital Library 658.4036 Kim b 2017.04.1826 My Library 658.4036 Kim b 2017.04.1826.jpg.jpg 1657 2017-04-13 09:49:18 2018-02-13 15:45:18 machine generated