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Business Analytics with Management Science Models and Methods by Arben Asllani

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3. Business Analytics with Linear Programming

Chapter Objectives

• Emphasize the importance of linear programming (LP) as a prescriptive analytics tool

• Provide a general formulation to LP models using mathematical notations

• Demonstrate the use of Excel and Solver for solving LP models with a large number of decision variables and constraints

• Discuss the importance of data preparation techniques and the use of pivot tables to summarize data and refresh data

• Perform sensitivity analysis and understand the impact of the changes in the right-hand side values and contribution coefficients

• Discuss the challenges of implementing LP models in the era of Big Data

Prescriptive Analytics in Action: Nu-kote Minimizes Shipment Cost1

1 LeBlanc, ...

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