MARC details
| 000 -LEADER |
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| fixed length control field |
03457 a2200229 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20191221115949.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191221b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781482221763 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
658.4032 |
| Item number |
KIM |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Kimbrough, Steve |
| 245 ## - TITLE STATEMENT |
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| Title |
Business analytics for decision making |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
CRC Press |
| Place of publication, distribution, etc. |
Boca Raton |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xxii, 307 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
GBP |
| Price amount |
74.99 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Table of Contents<br/>I: STARTERS<br/><br/>Introduction<br/><br/>The Computational Problem Solving Cycle<br/><br/>Example: Simple Knapsack Models<br/><br/>An Example: The Eilon Simple Knapsack Model<br/><br/>Scoping Out Post-Solution Analysis<br/><br/>Parameter Sweeping: A Method for Post-Solution Analysis<br/><br/>Decision Sweeping<br/><br/>Summary of Vocabulary and Main Points<br/><br/>For Exploration<br/><br/>For More Information<br/><br/>Constrained Optimization Models: Introduction and Concepts<br/><br/>Constrained Optimization<br/><br/>Classification of Models<br/><br/>Solution Concepts<br/><br/>Computational Complexity and Solution Methods<br/><br/>Metaheuristics<br/><br/>Discussion<br/><br/>For Exploration<br/><br/>For More Information<br/><br/>Linear Programming<br/><br/>Introduction<br/><br/>Wagner Diet Problem<br/><br/>Solving an LP<br/><br/>Post-Solution Analysis of LPs<br/><br/>More than One at a Time: The 100% Rule<br/><br/>For Exploration<br/><br/>For More Information<br/><br/>II: OPTIMIZATION MODELING<br/><br/>Simple Knapsack Problems<br/><br/>Introduction<br/><br/>Solving a Simple Knapsack in Excel<br/><br/>The Bang-for-Buck Heuristic<br/><br/>Post-Solution Analytics with the Simple Knapsack<br/><br/>Creating Simple Knapsack Test Models |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Description<br/>Business Analytics for Decision Making, 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.<br/><br/>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.<br/><br/>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.<br/><br/>The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Management--Statistical methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Decision making--Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Decision making--Statistical methods |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Lau, Hoong Chuin |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |