1. Intro to ManSci
Management Science
A decision making approach based on the Scientific Method
a body of knowledge that uses quantitative approaches to decision making (Anderson et al., 2019)
also known as Operations Research, Decision Science, Quantitative Methods, Quantitative Analysis, Business Analytics (Taylor, 2006)
Frederick Winslow Taylor (1856-1915)
Founder of Management Science
Wrote and published several works, and one of these was “The Principles of Scientific Management” in 1911.
Initiated the Scientific Management Revolution in the early 1900s
Historical Development of Management Science
Started during the World War II period.
Flourished in business and industry due to:
Numerous methodological developments
George Dantzig in 1947 discovered the simplex method for solving linear programming problems.
A virtual explosion in computing power
Development of smartphones and the internet which helps gain inputs to management-science models.
Example of management science: Airlines told a team to not enter the finals until the last match, to which resulted in an additional gain of 7% to 8% increase in revenue.
Problem Solving
Taking action to resolve what is happening to what we desire to happen. (the actual and desired state of affairs.)
Problem solving involves 7 steps.
Define the problem.
Determine the set of alternative solutions.
Determine the criteria for evaluating alternatives.
Evaluate the alternatives.
Choose an alternative (make a decision).
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Implement the decision.
Evaluate the results.
Note: steps 1 to 5 – Decision Making,
Note: steps 1 to 7 – Problem solving
Decision Making
Encompasses steps 1-5 of the steps in problem solving
Single-criterion decision problems: Problem solving with only ONE criterion
Multicriteria decision problems: Problem solving w/ MORE THAN ONE criterion.
Qualitative Analysis
Based largely on the manager's judgement and experience
It is inherent and will increase with experience
Includes the manager's intuitive "feel" for the problem
Based on recommendations
More of an art than a science
Quantitative Analysis
The manager has had little experiences/the problem is sufficiently complex
It can be learned only by studying assumptions and methods of Management Science.
Concentrate on the quantitative facts or data associated with the problem.
Develop mathematical expressions that describe the objectives, constraints, and other relationships that exist in the problem.
Use one or more quantitative methods to make a recommendation.
A quantitative approach is used when:
The problem is complex
The problem is essentially important (a large sum of money)
The problem is new and has no previous experiences
The problem is repetitive requires routine decisions
Outline
Introduction to Management Science
Definition: A decision-making approach based on the Scientific Method
Characteristics:
Utilizes quantitative approaches for decision-making (Anderson et al., 2019)
Also known as:
Operations Research
Decision Science
Quantitative Methods
Quantitative Analysis
Business Analytics (Taylor, 2006)
Historical Background
Founder: Frederick Winslow Taylor (1856-1915)
Published “The Principles of Scientific Management” in 1911
Initiated the Scientific Management Revolution in the early 1900s
Development Timeline:
Emerged during World War II
Growth driven by:
Methodological advancements
George Dantzig's discovery of the simplex method (1947)
Increased computing power
Rise of smartphones and the internet
Applications of Management Science
Example: Airlines' strategic decision led to a 7%-8% revenue increase
Problem Solving Process
Definition: Resolving the gap between actual and desired states
Steps in Problem Solving (7 steps):
Define the problem
Determine alternative solutions
Establish criteria for evaluating alternatives
Evaluate alternatives
Choose an alternative (decision-making)
Implement the decision
Evaluate the results
Notes:
Steps 1-5: Decision Making
Steps 1-7: Problem Solving
Decision Making
Focus: Steps 1-5 of Problem Solving
Types of Decision Problems:
Single-criterion decision problems: One criterion
Multicriteria decision problems: Multiple criteria
Qualitative Analysis
Based on manager's judgment and experience
Characteristics:
Inherent and increases with experience
Intuitive understanding of problems
More art than science
Quantitative Analysis
Applicable when:
Manager has limited experience
Problem complexity is high
Process:
Study assumptions and methods of Management Science
Focus on quantitative data
Develop mathematical expressions for objectives and constraints
Use quantitative methods for recommendations
Situations for quantitative approach:
Complex problems
Significant financial implications
New problems
Repetitive problems
Mind Map
Central Idea
Management Science: A decision-making approach based on the Scientific Method.
Main Branches
1. Definition and Scope
A body of knowledge using quantitative approaches to decision-making (Anderson et al., 2019).
Also known as:
Operations Research
Decision Science
Quantitative Methods
Quantitative Analysis
Business Analytics (Taylor, 2006)
2. Historical Development
Frederick Winslow Taylor (1856-1915)
Founder of Management Science.
Authored "The Principles of Scientific Management" (1911).
Initiated the Scientific Management Revolution.
World War II Influence
Emergence during WWII.
Flourished due to:
Methodological developments (e.g., George Dantzig's simplex method in 1947).
Increased computing power.
Development of smartphones and the internet.
3. Problem Solving
Definition
Action to resolve the gap between actual and desired states.
7 Steps of Problem Solving
Define the problem.
Determine alternative solutions.
Determine evaluation criteria.
Evaluate alternatives.
Choose an alternative (make a decision).
Implement the decision.
Evaluate the results.
Note
Steps 1-5: Decision Making.
Steps 1-7: Problem Solving.
4. Decision Making
Encompasses steps 1-5 of problem solving.
Types of Decision Problems
Single-criterion decision problems.
Multicriteria decision problems.
5. Qualitative Analysis
Based on manager's judgment and experience.
Involves intuitive "feel" for the problem.
More of an art than a science.
6. Quantitative Analysis
Used when:
The problem is complex.
The problem is important (large sums of money).
The problem is new with no prior experience.
The problem is repetitive and requires routine decisions.
Focuses on quantitative facts and data.
Develops mathematical expressions for objectives and constraints.