Solution Manual
Quantitative Analysis For Management, Global Edition
By Barry Render
14th Edition
,Table Contents:
Chapter 1 Introduction To Quantitative Analysis
Chapter 2 Probability Concepts And Applications
Chapter 3 Decision Analysis
Chapter 4 Regression Models
Chapter 5 Forecasting
Chapter 6 Inventory Control Models
Chapter 7 Linear Programming Models: Graphical And Computer Methods
Chapter 8 Linear Programming Applications
Chapter 9 Transportation, Assignment, And Network Models
Chapter 10 Integer Programming, Goal Programming, And Nonlinear Programming
Chapter 11 Project Management
Chapter 12 Waiting Lines And Queuing Theory Models
Chapter 13 Simulation Modeling
Chapter 14 Markov Analysis
Chapter 15 Statistical Quality Control
,Solution Manual For
Quantitative Analysis For Management, 14th Edition Render
Chapter 1-15
Chapter 1
Introduction To Quantitative Analysis
Teaching Suggestions
Teaching Suggestion 1.1: Importance Of Qualitative Factors.
Section 1.1 Gives Students An Overview Of Quantitative Analysis. In This Section, A Number
Of Qualitative Factors, Including Federal Legislation And New Technology, Are Discussed.
Students Can Be Asked To Discuss Other Qualitative Factors That Could Have An Impact On
Quantitative Analysis. Waiting Lines And Project Planning Can Be Used As Examples.
Teaching Suggestion 1.2: Discussing Other Quantitative Analysis Problems.
Section 1.2 Covers An Application Of The Quantitative Analysis Approach. Students Can Be
Asked To Describe Other Problems Or Areas That Could Benefit From Quantitative Analysis.
Teaching Suggestion 1.3: Discussing Conflicting Viewpoints.
Possible Problems In The Qa Approach Are Presented In This Chapter. A Discussion Of
Conflicting Viewpoints Within The Organization Can Help Students Understand This Problem.
For Example, How Many People Should Staff A Registration Desk At A University? Students
Will Want More Staff To Reduce Waiting Time, While University Administrators Will Want
Less Staff To Save Money. A Discussion Of These Types Of Conflicting Viewpoints Will Help
Students Understand Some Of The Problems Of Using Quantitative Analysis.
Teaching Suggestion 1.4: Difficulty Of Getting Input Data.
A Major Problem In Quantitative Analysis Is Getting Proper Input Data. Students Can Be Asked
To Explain How They Would Get The Information They Need To Determine Inventory Ordering
Or Carrying Costs. Role-Playing With Students Assuming The Parts Of The Analyst Who Needs
Inventory Costs And The Instructor Playing The Part Of A Veteran Inventory Manager Can Be
Fun And Interesting. Students Quickly Learn That Getting Good Data Can Be The Most
Difficult Part Of Using Quantitative Analysis.
Teaching Suggestion 1.5: Dealing With Resistance To Change.
, Resistance To Change Is Discussed In This Chapter. Students Can Be Asked To Explain How
They Would Introduce A New System Or Change Within The Organization. People Resisting
New Approaches Can Be A Major Stumbling Block To The Successful Implementation Of
Quantitative Analysis. Students Can Be Asked Why Some People May Be Afraid Of A New
Inventory Control Or Forecasting System.
Solutions To Discussion Questions And Problems
1-1. Quantitative Analysis Involves The Use Of Mathematical Equations Or Relationships In
Analyzing A Particular Problem. In Most Cases, The Results Of Quantitative Analysis Will Be
One Or More Numbers That Can Be Used By Managers And Decision Makers In Making Better
Decisions. Calculating Rates Of Return, Financial Ratios From A Balance Sheet And Profit And
Loss Statement, Determining The Number Of Units That Must Be Produced In Order To Break
Even, And Many Similar Techniques Are Examples Of Quantitative Analysis. Qualitative
Analysis Involves The Investigation Of Factors In A Decision-Making Problem That Cannot Be
Quantified Or Stated In Mathematical Terms. The State Of The Economy, Current Or Pending
Legislation, Perceptions About A Potential Client, And Similar Situations Reveal The Use Of
Qualitative Analysis. In Most Decision-Making Problems, Both Quantitative And Qualitative
Analysis Are Used. In This Book, However, We Emphasize The Techniques And Approaches Of
Quantitative Analysis.
1-2. Quantitative Analysis Is The Scientific Approach To Managerial Decision Making. This
Type Of Analysis Is A Logical And Rational Approach To Making Decisions. Emotions,
Guesswork, And Whim Are Not Part Of The Quantitative Analysis Approach. A Number Of
Organizations Support The Use Of The Scientific Approach: The Institute For Operation
Research And Management Science (Informs), Decision Sciences Institute, And Academy Of
Management.
1-3. The Three Categories Of Business Analytics Are Descriptive, Predictive, And Prescriptive.
Descriptive Analytics Provides An Indication Of How Things Were Performed In The Past.
Predictive Analytics Uses Past Data To Forecast What Will Happen In The Future. Prescriptive
Analytics Uses Optimization And Other Models To Present Better Ways For A Company To
Operate To Reach Goals And Objectives.
1-4. Quantitative Analysis Is A Step-By-Step Process That Allows Decision Makers To
Investigate Problems Using Quantitative Techniques. The Steps Of The Quantitative Analysis
Process Include Defining The Problem, Developing A Model, Acquiring Input Data, Developing
A Solution, Testing The Solution, Analyzing The Results, And Implementing The Results. In
Every Case, The Analysis Begins With Defining The Problem. The Problem Could Be Too
Many Stockouts, Too Many Bad Debts, Or Determining The Products To Produce That Will
Result In The Maximum Profit For The Organization. After The Problems Have Been Defined,
The Next Step Is To Develop One Or More Models. These Models Could Be Inventory Control
Models, Models That Describe The Debt Situation In The Organization, And So On. Once The
Models Have Been Developed, The Next Step Is To Acquire Input Data. In The Inventory
Problem, For Example, Such Factors As The Annual Demand, The Ordering Cost, And The
Carrying Cost Would Be Input Data That Are Used By The Model Developed In The Preceding
Step. In Determining The Products To Produce In Order To Maximize Profits, The Input Data
Quantitative Analysis For Management, Global Edition
By Barry Render
14th Edition
,Table Contents:
Chapter 1 Introduction To Quantitative Analysis
Chapter 2 Probability Concepts And Applications
Chapter 3 Decision Analysis
Chapter 4 Regression Models
Chapter 5 Forecasting
Chapter 6 Inventory Control Models
Chapter 7 Linear Programming Models: Graphical And Computer Methods
Chapter 8 Linear Programming Applications
Chapter 9 Transportation, Assignment, And Network Models
Chapter 10 Integer Programming, Goal Programming, And Nonlinear Programming
Chapter 11 Project Management
Chapter 12 Waiting Lines And Queuing Theory Models
Chapter 13 Simulation Modeling
Chapter 14 Markov Analysis
Chapter 15 Statistical Quality Control
,Solution Manual For
Quantitative Analysis For Management, 14th Edition Render
Chapter 1-15
Chapter 1
Introduction To Quantitative Analysis
Teaching Suggestions
Teaching Suggestion 1.1: Importance Of Qualitative Factors.
Section 1.1 Gives Students An Overview Of Quantitative Analysis. In This Section, A Number
Of Qualitative Factors, Including Federal Legislation And New Technology, Are Discussed.
Students Can Be Asked To Discuss Other Qualitative Factors That Could Have An Impact On
Quantitative Analysis. Waiting Lines And Project Planning Can Be Used As Examples.
Teaching Suggestion 1.2: Discussing Other Quantitative Analysis Problems.
Section 1.2 Covers An Application Of The Quantitative Analysis Approach. Students Can Be
Asked To Describe Other Problems Or Areas That Could Benefit From Quantitative Analysis.
Teaching Suggestion 1.3: Discussing Conflicting Viewpoints.
Possible Problems In The Qa Approach Are Presented In This Chapter. A Discussion Of
Conflicting Viewpoints Within The Organization Can Help Students Understand This Problem.
For Example, How Many People Should Staff A Registration Desk At A University? Students
Will Want More Staff To Reduce Waiting Time, While University Administrators Will Want
Less Staff To Save Money. A Discussion Of These Types Of Conflicting Viewpoints Will Help
Students Understand Some Of The Problems Of Using Quantitative Analysis.
Teaching Suggestion 1.4: Difficulty Of Getting Input Data.
A Major Problem In Quantitative Analysis Is Getting Proper Input Data. Students Can Be Asked
To Explain How They Would Get The Information They Need To Determine Inventory Ordering
Or Carrying Costs. Role-Playing With Students Assuming The Parts Of The Analyst Who Needs
Inventory Costs And The Instructor Playing The Part Of A Veteran Inventory Manager Can Be
Fun And Interesting. Students Quickly Learn That Getting Good Data Can Be The Most
Difficult Part Of Using Quantitative Analysis.
Teaching Suggestion 1.5: Dealing With Resistance To Change.
, Resistance To Change Is Discussed In This Chapter. Students Can Be Asked To Explain How
They Would Introduce A New System Or Change Within The Organization. People Resisting
New Approaches Can Be A Major Stumbling Block To The Successful Implementation Of
Quantitative Analysis. Students Can Be Asked Why Some People May Be Afraid Of A New
Inventory Control Or Forecasting System.
Solutions To Discussion Questions And Problems
1-1. Quantitative Analysis Involves The Use Of Mathematical Equations Or Relationships In
Analyzing A Particular Problem. In Most Cases, The Results Of Quantitative Analysis Will Be
One Or More Numbers That Can Be Used By Managers And Decision Makers In Making Better
Decisions. Calculating Rates Of Return, Financial Ratios From A Balance Sheet And Profit And
Loss Statement, Determining The Number Of Units That Must Be Produced In Order To Break
Even, And Many Similar Techniques Are Examples Of Quantitative Analysis. Qualitative
Analysis Involves The Investigation Of Factors In A Decision-Making Problem That Cannot Be
Quantified Or Stated In Mathematical Terms. The State Of The Economy, Current Or Pending
Legislation, Perceptions About A Potential Client, And Similar Situations Reveal The Use Of
Qualitative Analysis. In Most Decision-Making Problems, Both Quantitative And Qualitative
Analysis Are Used. In This Book, However, We Emphasize The Techniques And Approaches Of
Quantitative Analysis.
1-2. Quantitative Analysis Is The Scientific Approach To Managerial Decision Making. This
Type Of Analysis Is A Logical And Rational Approach To Making Decisions. Emotions,
Guesswork, And Whim Are Not Part Of The Quantitative Analysis Approach. A Number Of
Organizations Support The Use Of The Scientific Approach: The Institute For Operation
Research And Management Science (Informs), Decision Sciences Institute, And Academy Of
Management.
1-3. The Three Categories Of Business Analytics Are Descriptive, Predictive, And Prescriptive.
Descriptive Analytics Provides An Indication Of How Things Were Performed In The Past.
Predictive Analytics Uses Past Data To Forecast What Will Happen In The Future. Prescriptive
Analytics Uses Optimization And Other Models To Present Better Ways For A Company To
Operate To Reach Goals And Objectives.
1-4. Quantitative Analysis Is A Step-By-Step Process That Allows Decision Makers To
Investigate Problems Using Quantitative Techniques. The Steps Of The Quantitative Analysis
Process Include Defining The Problem, Developing A Model, Acquiring Input Data, Developing
A Solution, Testing The Solution, Analyzing The Results, And Implementing The Results. In
Every Case, The Analysis Begins With Defining The Problem. The Problem Could Be Too
Many Stockouts, Too Many Bad Debts, Or Determining The Products To Produce That Will
Result In The Maximum Profit For The Organization. After The Problems Have Been Defined,
The Next Step Is To Develop One Or More Models. These Models Could Be Inventory Control
Models, Models That Describe The Debt Situation In The Organization, And So On. Once The
Models Have Been Developed, The Next Step Is To Acquire Input Data. In The Inventory
Problem, For Example, Such Factors As The Annual Demand, The Ordering Cost, And The
Carrying Cost Would Be Input Data That Are Used By The Model Developed In The Preceding
Step. In Determining The Products To Produce In Order To Maximize Profits, The Input Data
