An Introduction to Management Science: Quantitative Approaches to Decision Making 16th edition

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Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams
Publisher: Cengage Learning

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  • Camm An Introduction to Management Science 16e

Access is contingent on use of this textbook in the instructor's classroom.

  • Chapter 1: Introduction
    • 1.1: Problem Solving and Decision Making
    • 1.2: Quantitative Analysis and Decision Making
    • 1.3: Quantitative Analysis
    • 1.4: Models of Cost, Revenue, and Profit
    • 1.5: Management Science Techniques
    • 1: Exercises (13)
    • 1: Test Bank (60)

  • Chapter 2: An Introduction to Linear Programming
    • 2.1: A Simple Maximization Problem
    • 2.2: Graphical Solution Procedure
    • 2.3: Extreme Points and the Optimal Solution
    • 2.4: Computer Solution of the Par, Inc., Problem
    • 2.5: A Simple Minimization Problem
    • 2.6: Special Cases
    • 2.7: General Linear Programming Notation
    • 2: Exercises (39)
    • 2: Case Problems (2)
    • 2: Test Bank (62)

  • Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution
    • 3.1: Introduction to Sensitivity Analysis
    • 3.2: Graphical Sensitivity Analysis
    • 3.3: Sensitivity Analysis: Computer Solution
    • 3.4: Limitations of Classical Sensitivity Analysis
    • 3.5: The Electronic Communications Problem
    • 3: Exercises (21)
    • 3: Case Problems (2)
    • 3: Test Bank (49)

  • Chapter 4: Linear Programming Applications in Marketing, Finance, and Operations Management
    • 4.1: Marketing Applications
    • 4.2: Financial Applications
    • 4.3: Operations Management Applications
    • 4: Exercises (17)
    • 4: Case Problems (2)
    • 4: Test Bank (57)

  • Chapter 5: Advanced Linear Programming Applications
    • 5.1: Data Envelopment Analysis
    • 5.2: Revenue Management
    • 5.3: Portfolio Models and Asset Allocation
    • 5.4: Game Theory
    • 5: Exercises (11)
    • 5: Test Bank (45)

  • Chapter 6: Distribution and Network Models
    • 6.1: Supply Chain Models
    • 6.2: Assignment Problem
    • 6.3: Shortest-Route Problem
    • 6.4: Maximal Flow Problem
    • 6.5: A Production and Inventory Application
    • 6: Exercises (24)
    • 6: Case Problems (1)
    • 6: Test Bank (68)

  • Chapter 7: Integer Linear Programming
    • 7.1: Types of Integer Linear Programming Models
    • 7.2: Graphical and Computer Solutions for an All-Integer Linear Program
    • 7.3: Applications Involving 0-1 Variables
    • 7.4: Modeling Flexibility Provided by 0-1 Integer Variables
    • 7: Exercises (21)
    • 7: Case Problems (1)
    • 7: Test Bank (59)

  • Chapter 8: Nonlinear Optimization Models
    • 8.1: A Production Application—Par, Inc., Revisited
    • 8.2: Constructing an Index Fund
    • 8.3: Markowitz Portfolio Model
    • 8.4: Blending: The Pooling Problem
    • 8.5: Forecasting Adoption of a New Product
    • 8: Exercises (22)
    • 8: Case Problems (1)
    • 8: Test Bank (50)

  • Chapter 9: Project Scheduling: PERT/CPM
    • 9.1: Project Scheduling Based on Expected Activity Times
    • 9.2: Project Scheduling Considering Uncertain Activity Times
    • 9.3: Considering Time-Cost Trade-Offs
    • 9: Exercises (16)
    • 9: Case Problems (1)
    • 9: Test Bank (66)

  • Chapter 10: Inventory Models
    • 10.1: Economic Order Quantity (EOQ) Model
    • 10.2: Economic Production Lot Size Model
    • 10.3: Inventory Model with Planned Shortages
    • 10.4: Quantity Discounts for the EOQ Model
    • 10.5: Single-Period Inventory Model with Probabilistic Demand
    • 10.6: Order-Quantity, Reorder Point Model with Probabilistic Demand
    • 10.7: Periodic Review Model with Probabilistic Demand
    • 10: Exercises (24)
    • 10: Case Problems (1)
    • 10: Test Bank (64)

  • Chapter 11: Waiting Line Models
    • 11.1: Structure of a Waiting Line System
    • 11.2: Single-Server Waiting Line Model with Poisson Arrivals and Exponential Service Times
    • 11.3: Multiple-Server Waiting Line Model with Poisson Arrivals and Exponential Service Times
    • 11.4: Some General Relationships for Waiting Line Models
    • 11.5: Economic Analysis of Waiting Lines
    • 11.6: Other Waiting Line Models
    • 11.7: Single-Server Waiting Line Model with Poisson Arrivals and Arbitrary Service Times
    • 11.8: Multiple-Server Model with Poisson Arrivals, Arbitrary Service Times, and No Waiting Line
    • 11.9: Waiting Line Models with Finite Calling Populations
    • 11: Exercises (23)
    • 11: Case Problems (1)
    • 11: Test Bank (62)

  • Chapter 12: Simulation
    • 12.1: What-If Analysis
    • 12.2: Simulation of Sanotronics Problem
    • 12.3: Inventory Simulation
    • 12.4: Waiting Line Simulation
    • 12.5: Simulation Considerations
    • 12: Exercises (15)
    • 12: Case Problems (1)
    • 12: Test Bank (57)

  • Chapter 13: Decision Analysis
    • 13.1: Problem Formulation
    • 13.2: Decision Making Without Probabilities
    • 13.3: Decision Making With Probabilities
    • 13.4: Risk Analysis and Sensitivity Analysis
    • 13.5: Decision Analysis with Sample Information
    • 13.6: Computing Branch Probabilities with Bayes' Theorem
    • 13.7: Utility Theory
    • 13: Exercises (28)
    • 13: Case Problems (1)
    • 13: Test Bank (86)

  • Chapter 14: Multicriteria Decisions
    • 14.1: Goal Programming: Formulation and Graphical Solution
    • 14.2: Goal Programming: Solving More Complex Problems
    • 14.3: Scoring Models
    • 14.4: Analytic Hierarchy Process
    • 14.5: Establishing Priorities Using AHP
    • 14.6: Using AHP to Develop an Overall Priority Ranking
    • 14: Exercises (17)
    • 14: Case Problems (1)
    • 14: Test Bank (48)

  • Chapter 15: Time Series Analysis and Forecasting
    • 15.1: Time Series Patterns
    • 15.2: Forecast Accuracy
    • 15.3: Moving Averages and Exponential Smoothing
    • 15.4: Linear Trend Projection
    • 15.5: Seasonality
    • 15: Exercises (35)
    • 15: Case Problems (3)
    • 15: Test Bank (62)

  • Chapter 16: Markov Processes
    • 16.1: Market Share Analysis
    • 16.2: Accounts Receivable Analysis
    • 16: Exercises (11)
    • 16: Case Problems (1)
    • 16: Test Bank (47)

  • Chapter A: Appendix
    • A: Appendix A: Basics of Excel (11)


Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams' An Introduction to Management Science: Quantitative Approaches to Decision Making, 16th edition, equips students with a sound conceptual understanding of the role that management science plays in the decision-making process. This edition reflects the latest developments in Microsoft® Office and Excel Solver. This market leader provides unwavering accuracy with emphasis on applications and timely examples. A hallmark problem-scenario approach introduces each quantitative technique within an applications setting. Students apply the management science model to generate solutions and recommendations for management. An all new WebAssign online course management system is available with this powerful management science solution.

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  • Chapter Overview Videos, Downloadable DATAfiles (Excel and CSV), MODELfiles (Excel), Downloadable Online Chapters, Appendix A: Building Spreadsheet Models, Appendix B: Areas for the Standard Normal Distribution, Appendix C: Values of e, Appendix E: Self-Test Solutions, and Even-Numbered Answers and Solutions are available as textbook resources for students and instructors.
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Group Quantity Questions
Chapter A: Appendix
A.ET 11 001 002 003 004 005 006 007 008 009 010 011
Chapter 1: Introduction
1.E 13 001 003 004 005 007 008 009 011 012 013 015 017 019
1.TB 60 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060
Chapter 2: An Introduction to Linear Programming
2.CP 2 002 003
2.E 39 001 002 003 005 006 007 009 010 011 013 014 015 017 019 021 022 023 024 025 027 029 031 032 033 034 035 037 039 040 041 042 043 045 047 049 051 053 055 057
2.TB 62 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062
Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution
3.CP 2 001 002
3.E 21 001 002 003 005 006 007 008 009 011 012 013 015 017 019 021 023 025 027 029 031 032
3.TB 49 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 039 040 041 042 043 044 045 046 047 048 049 050 051
Chapter 4: Linear Programming Applications in Marketing, Finance, and Operations Management
4.CP 2 002 003
4.E 17 001 003 004 005 007 008 009 011 012 013 015 017 019 020 021 023 025
4.TB 57 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057
Chapter 5: Advanced Linear Programming Applications
5.E 11 001 003 005 007 009 010 011 012 013 015 017
5.TB 45 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045
Chapter 6: Distribution and Network Models
6.CP 1 001
6.E 24 001 002 003 005 006 007 009 010 011 013 014 015 017 019 021 022 023 025 026 027 029 031 033 035
6.TB 68 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066 067 068
Chapter 7: Integer Linear Programming
7.CP 1 001
7.E 21 001 002 003 005 007 009 011 013 014 015 017 019 021 023 025 026 027 028 028.alt 029 030
7.TB 59 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059
Chapter 8: Nonlinear Optimization Models
8.CP 1 001
8.E 22 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022
8.TB 50 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050
Chapter 9: Project Scheduling: PERT/CPM
9.CP 1 001
9.E 16 002 004 006 007 008 010 012 013 014 016 018 019 020 021 022 024 026
9.TB 66 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065 066
Chapter 10: Inventory Models
10.CP 1 002
10.E 24 001 003 004 005 007 008 009 011 012 013 015 016 017 019 021 022 023 025 027 029 030 031 033 035
10.TB 64 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063 064 065
Chapter 11: Waiting Line Models
11.CP 1 001
11.E 23 001 003 004 005 007 009 011 013 015 017 018 019 021 023 024 025 027 029 030 031 033 034 035
11.TB 62 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 059 060 061 062 063
Chapter 12: Simulation
12.CP 1 002
12.E 15 001 002 003 004 005 007 009 011 013 014 015 017 019 021 022
12.TB 57 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057
Chapter 13: Decision Analysis
13.CP 1 003
13.E 28 001.MI 001.MI.SA 003 004 005 006.MI 006.MI.SA 007 008 009 011 013 014 015 016 017 018 019 020 021 022 023.MI 023.MI.SA 024 025 027 029 031
13.TB 86 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 054 055 056 057 058 061 062 063 064 065 066 067 068 069 070 071 072 073 074 075 076 077 078 079 080 081 082 083 084 085 086 087 088 089
Chapter 14: Multicriteria Decisions
14.CP 1 001
14.E 17 001 002 003 005 007 009 011 013 015 016 017 019 020 021 023 024 025
14.TB 48 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048
Chapter 15: Time Series Analysis and Forecasting
15.CP 3 001 002 002.alt
15.E 35 001 002 003 004.MI 004.MI.SA 005 006 007 007.alt 008 008.alt 009 009.alt 010 011.MI 011.MI.SA 012 013 014 015 017 018 019 021 021.alt 023 023.alt 024 025 026 026.alt 027 027.alt 028 028.alt
15.TB 62 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 034 035 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050 051 052 053 055 056 057 058 059 060 061 062 063
Chapter 16: Markov Processes
16.CP 1 001
16.E 11 001 003 005 006 007 009 011 012 013 014 015
16.TB 47 001 002 003 004 005 006 007 008 009 010 011 012 013 014 016 017 018 019 020 021 022 023 024 025 026 027 028 029 030 031 032 033 036 037 038 039 040 041 042 043 044 045 046 047 048 049 050
Total 1309 (1)