Название: Introduction to Management Science and Business Analytics: A Modeling & Case Studies Approach with Spreadsheets, 7th Edition
Автор: Frederick Hillier, Mark Hillier
Издательство: McGraw Hill
Год: 2023
Страниц: 769
Язык: английский
Формат: pdf (true)
Размер: 26.2 MB
For well over a decade now, we have seen a growing analytics revolution. As we have entered the era of Big Data, analytics (including Data Science) now plays a key role in dealing with numerous managerial concerns. Business analysts who analyze these problems no longer can depend primarily on using the techniques of management science. The discipline of business analytics now needs to be used as well. To meet this need, business schools now have substan- tially increased their coverage of business analytics. In fact, many business schools now offer a master’s program in business analytics. Therefore, without reducing the coverage of management science, we now are providing an introduction to business analytics as well to clarify the close relationship between these two disciplines. Master’s programs in business analytics typically include a course that is devoted mainly to presenting the techniques of management science and operations research. This textbook should be well suited for such a course. As discussed in the following three subsections, we continue to believe that a modern introductory management science textbook should have three key elements. As summarized in the subtitle of this book, these elements are a modeling and case studies approach with spreadsheets. The modern approach to the teaching of management science clearly is to use spreadsheets as a primary medium of instruction. Both business students and managers now live with spreadsheets, so they provide a comfortable and enjoyable learning environment. Modern spreadsheet software, including Microsoft Excel used in this book, now can be used to do real management science. For student-scale models (which include many practical real-world models), spreadsheets are a much better way of implementing these models than traditional algebraic solvers. This means that the algebraic curtain that used to be prevalent in traditional management science courses and textbooks now can be lifted.
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