Transcript POM Overview - Loyola Marymount University

MBAA 607- Operations Analysis &
Decision Support Systems
Spring 2008
Tuesday 4:25-7:05
Dr. Linda Leon
Productivity = Output/Input
where inputs include
 labor
 capital
 materials
 time
 information
 energy
And output measures output
produced, not necessarily sold
U. S Productivity Increases
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1800-1973 productivity increased at average
rate of 2.5% per year
1970s to mid-1980s productivity increased at
only 1% to 1.5% per year due to quality
problems
Mid-1980s to 1995, the manufacturing sector
increased its productivity rate by 2.5+% per
year while the service sector lagged at 11.5% per year
1995 to 2005 productivity rate increased by
5.6% per year as the result of decreasing
labor input
Variables that Create Productivity
Increases

Labor

Capital

Management
Management Science
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A quantitative approach to decision
making based on the scientific
method of problem solving.
Synonymous with operations research.
Early roots in World War II; now
flourishing in business and industry
with the aid of computers.
Course Objectives


To learn how to model operations
management and decision-making problems
using quantitative management science
techniques
To present various operations management
and decision-making problems encountered in
today’s business world
Quantitative Techniques
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Linear Programming
Simulation
Forecasting
Decision Trees
Project Management: PERT/ Critical
Path Method (CPM)
Examples of Typical Operation
Management Problems
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Resource Allocation
Scheduling
Demand Forecasting
Revenue Management
Planning Models
Supply Chain Management
Waiting Line Analysis
Inventory Management
Transportation & Location Analysis
Operations Analysis & DSS Tools
Increasing
Expected
Productivity
Forecasting &
Planning Models
Math Programming
Assessing
& Managing
Operational Risk
Simulation
Models
Decision Trees
for Evaluating
Alternatives
Project
Management
Course Objectives - Continued
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To develop analytical & computer modeling
skills necessary to implement and analyze
decision problems
To learn how to integrate information
provided by the use of quantitative
techniques and computer models into the
decision-making process and be aware of the
limitations of the quantitative technique used