Book, Introduction to Operations Research Method Model Analysis 5/15[LS]

The complexity of decision-making is directly proportional to the amount of information available to support them. Considering this premise, the fifth edition of Introduction to Operational Research — Methods and Models for Decision Analysis incorporates into its content the very current concept of big data and is even broader and more complete, as it seeks to develop students' mastery of analytical tools , algorithms and interfaces related to information technology, in order to obtain quick and reliable reports of available data that support decision-making. As a novelty, this edition includes Game Theory techniques for decision-making under competition and Data Envelopment Analysis (DEA — Data Envelopment Analysis). There is also the well-known supplementary material, presenting Integer Linear Programming, Programming by Goals and Multiple Objectives and Analytical Hierarchy (AHP — Analytic Hierarchy Process), Microsoft Excel spreadsheets with solutions for all examples, solved exercises and proposed exercises, and Microsoft PowerPoint transparencies for all chapters. These complements, available on the LTC Editora website, upon registration, enrich the fixation of the themes covered throughout the work. Thus, Introduction to Operational Research — Methods and Models for Decision Analysis is consolidated as a reference work adapted to the big data environment and the highly globalized world in which the current job market operates.