Introduction to Management Science: A
Modeling and Case Studies Approach
with Spreadsheets, 6th Edition
By Hillier/Hiller
Additional Student Resources
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Solved Problem Solutions
Chapter Title
Chapter 1 – Introduction
Chapter 2 – Linear Programming: Basic
Concepts
Chapter 3 – Linear Programming:
Formulation and Applications
Chapter 4 – The Art of Modeling with
Spreadsheets
Chapter 5 – What-If Analysis for Linear
Programming
Chapter 6 – Network Optimization
Problems
Chapter 7 – Using Binary Integer
Programming to Deal with Yes-or-No
Decisions
Chapter 8 – Nonlinear Programming
Chapter 9 – Decision Analysis
Chapter 10 – Forecasting
Chapter 11 – Queueing Models
Chapter 12 – Computer Simulation: Basic
Concepts
Chapter 13 – Computer Simulation with
Analytic Solver
Chapter 20 – Computer Simulation with
Crystal Ball
Word File
Chapter 1
Chapter 2
Excel File
Chapter 1
Chapter 2
Chapter 3
Chapter 3
Chapter 4
Chapter 4
Chapter 5
Chapter 5
Chapter 6
Chapter 6
Chapter 7
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 13
Chapter 20
Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without
the prior written consent of McGraw-Hill Education.
Chapter Supplements
Chapter Title
Chapter 2 – Linear Programming: Basic Concepts
Chapter 5 – What-If Analysis for Linear Programming
Chapter 6 – Network Optimization Problems
Chapter 7 – Using Binary Integer Programming to Deal with Yesor-No Decisions
Chapter 9 – Decision Analysis
Chapter 11 – Queueing Models
Chapter 12 – Computer Simulation: Basic Concepts
Word File
Supplement
Supplement
Supplement
Supplement 1
Supplement 2
Supplement 1
Supplement 2
Supplement
Supplement
Web Chapters
Chapter Title
Chapter 14 – Solution Concepts for Linear Programming
Chapter 15 – Transportation and Assignment Problems
Chapter 16 – PERT/CPM Models for Project Management
Chapter 17 – Goal Programming
Chapter 18 – Inventory Management with Known Demand
Chapter 19 – Inventory Management with Uncertain Demand
Chapter 20 – Computer Simulation with Crystal Ball
Word File
Chapter 14
Chapter 15
Chapter 16
Chapter 17
Chapter 18
Chapter 19
Chapter 20
Textbook Spreadsheets
Chapter Title
Chapter 1 – Introduction
Chapter 2 – Linear Programming: Basic Concepts
Chapter 3 – Linear Programming: Formulation and Applications
Chapter 4 – The Art of Modeling with Spreadsheets
Chapter 5 – What-If Analysis for Linear Programming
Chapter 6 – Network Optimization Problems
Chapter 7 – Using Binary Integer Programming to Deal with Yesor-No Decisions
Chapter 7 Supplement
Chapter 8 – Nonlinear Programming
Chapter 9 – Decision Analysis
Chapter 9 Supplement
Chapter 10 – Forecasting
Chapter 11 – Queueing Models
Chapter 11 Supplement
Chapter 12 – Computer Simulation: Basic Concepts
Chapter Folder
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 7 Supp
Chapter 8
Chapter 9
Chapter 9 Supp
Chapter 10
Chapter 11
Chapter 11 Supp
Chapter 12
Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without
the prior written consent of McGraw-Hill Education.
Chapter 13 – Computer Simulation with Analytic Solver
Chapter 14 – Solution Concepts for Linear Programming
Chapter 15 – Transportation and Assignment Problems
Chapter 16 – PERT/CPM Models for Project Management
Chapter 17 – Goal Programming
Chapter 18 – Inventory Management with Known Demand
Chapter 19 – Inventory Management with Uncertain Demand
Chapter 20 – Computer Simulation with Crystal Ball
Chapter 13
Chapter 14
Chapter 15
Chapter 16
Chapter 17
Chapter 18
Chapter 19
Chapter 20
Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without
the prior written consent of McGraw-Hill Education.
Risk Solver Platform
Risk Solver Platform for Education
Queuing Simulator
Queuing Simulator
Management Science Modules
Break-Even Analysis
EOQ Analysis
Forecasting
Interactive Graphical Linear Programming
Waiting Line
INFORMS Articles
Hillier 6e INFORMS Articles Listing
Copyright © 2019 McGraw-Hill Education. All rights reserved. No reproduction or distribution without
the prior written consent of McGraw-Hill Education.