intro VIP .ppt INTRODUCTION TO OPERATIONS MANAGEMENT
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Oct 13, 2024
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About This Presentation
INTRODUCTION TO OPERATIONS MANAGEMENT
Size: 374.12 KB
Language: en
Added: Oct 13, 2024
Slides: 38 pages
Slide Content
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Chapter 1
INTRODUCTION TO OPERATIONS
MANAGEMENT
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Operations Management = OM
Management of ANY activities/process that create goods and provide services
»Exemplary Activities: Forecasting, Scheduling, Quality management
Why to study OM
»At a typical manufacturing company
Profit 5%
OM Cost 21%
Marketing
Cost 26%
Manufacturing
Cost 48%
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The management of systems or processes that create goods and/or
provide services
Organization
Finance Operations Marketing
The distinct –active- role of operations:
Inputs become Outputs after some
Transformation
Operations Management = OM
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Operations example in Manufacturing:
Food Processing
INPUTS PROCESS OUTPUTS
Raw vegetables Cleaning Clean vegetables
Metal sheets Cutting/Rolling/WeldingCans
Energy, VegetablesCutting Cut vegetables
Energy, Water,
Vegetables
Cooking Boiled
vegetables
Energy, Cans,
Boiled vegetables
Placing Can food
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Operations example in service:
Health care
Inputs ProcessingOutputs
Doctors, nursesExaminationHealthy
patientsHospital Surgery
Medical SuppliesMonitoring
Equipment Medication
Laboratories Therapy
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Types of Operations
Operation Examples
Goods producing Farming, mining, construction
Storage/transportation Warehousing, trucking, mail, taxis,
buses, hotels, location
Exchange Trade, retailing, wholesaling, renting,
leasing, loans
Entertainment Radio, movies, TV, concerts, recording
Communication Newspapers, journals, magazines, radio,
TV, telephones, satellite
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Why OM?
Core of all business organizations
Many areas interrelated with OM activities
Management of operations is critical to create and
maintain competitive advantages
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Organization of Businesses
Three basic functions
–Operations/Production
»Goods oriented (manufacturing and assembly)
»Service oriented (health care, transportation and retailing)
»Value-added (the essence of the operations functions)
–Finance-Accounting
»Budgets (plan financial requirements)
»Economic analysis of investment proposals
»Provision of funds (the necessary funding of the operations)
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Organization of Businesses (Cont.)
–Marketing
»Selling
»Promoting
»Assessing customer wants and needs
»Communicating those needs to operations
The need for working closely
Operations
FinanceMarketing
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Operations Interfaces
Accounting
Industrial
Engineering
Operations
Maintenance
Public Relations
PersonnelPurchasing
Distribution
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Systems (Holistic) Approach
Emphasizes interrelations among subsystems.
A systems approach is essential whenever something is being
designed, redesigned, implemented, or improved. It is
important to take into account the impact on all parts of the
system.
Example: A new feature is added to a product.
Designer must take into account how customers will view the
change, instruction for using new feature, the cost, training of
workers, production schedule, quality standard, advertising
must be informed about the new feature.
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Systems Approach
“The whole is greater than
the sum of the parts.”
SuboptimizationSuboptimization
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Value Added
Value added: The difference between cost of inputs and
price (??) of outputs.
Is this definition right? Should value added include profit?
Value added: The difference between the cost of inputs
and the (market or fair) value or price of outputs.
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Value-Added
Inputs
Land
Labor
Capital
Transformation/
Conversion
process
Outputs
Goods
Services
Control
Feedback
FeedbackFeedback
Value added
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Degree of Standardization !
Standardized output
–Take advantage of standardized methods, less skilled
workers, materials…
»Example: Iron, Wheat, most of commodities
Customized output
–Each job is different
–Workers must be skilled
»Example: Hair cut
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Manufacturing (=Goods) vs. Service operations
Production of goods (goods oriented)
–Tangible products
»Automobile
»Refrigerator
Services (TV and auto repair, lawn care)
»Government
»Regulatory bodies, FAA, FDA
»Wholesale/retail
»Financial services
»Education
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Goods vs. Service Operations (Cont)
Differences
1.Customer contact
2.Uniformity of input
3.Labor content of jobs
4.Uniformity of output
5.Measurement of productivity
6.Production and delivery
7.Quality assurance
8.Amount of inventory
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Manufacturing vs. Service !
Characteristic Manufacturing Service
Output
Tangible Intangible
Customer contact
Low High
Uniformity of output
High Low
Labor content
Low High
Uniformity of inputHigh Low
Measurement of
productivity
Easy Difficult
Opportunity to correct
quality problems
Easy Difficult
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Steel production
Automobile fabrication
Home remodeling
Retail sales
Auto Repair
Appliance repair
Maid Service
Manual car wash
Teaching
Lawn mowing
High percentage goods
Low percentage service
Goods-service Continuum
Low percentage goods
High percentage service
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U.S. Manufacturing vs. Service Employment
0
20
40
60
80
100
455055606570758085909500
Year
P
e
r
c
e
n
t
YearMfg.Service
4579 21
5072 28
5572 28
6068 32
6564 36
7064 36
7558 42
8044 46
8543 57
9035 65
9532 68
0030 70
Manufacturing vs. Service Industries in US
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Responsibilities of Operations Management
Planning
–Capacity, utilization
–Location
–Choosing products or services
–Make or buy
–Layout
–Projects
–Scheduling
–Market share
–Plan for risk reduction, plan B?
–Forecasting
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Operations Managers
Controlling
–Inventory
–Quality
–Costs
Organization
–Degree of standardization
–Subcontracting
–Process selection
Staffing
–Hiring/lay off
–Use of overtime
–Incentive plans
–Job assignments
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Operations Management includes:
–Forecasting
–Capacity planning
–Scheduling
–Managing inventories
–Assuring quality
–Motivating employees
–Deciding where to locate facilities
–And more . . .
Scope of Operations Management
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Help comes from Models
A structure which has been built purposefully to exhibit
features and characteristics of some other object.
Do not use “thing” or “something” in a definition.
For
–Improved understanding and communication
–Experimentation
–Standardization for analysis
Abstraction vs. computability
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What type of models
Simulation models : to test a proposed idea
– Monte Carlo Simulation
Optimization models : to create an optimal idea
– Linear programming
Pattern recognition models : to recognize a pattern
– Statistics, Forecasting, data mining
Other classes to learn the rest.
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Decision Making
Models
Quantitative approaches
Analysis of trade-offs
Systems approach
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Models Are Beneficial
Easy to use, less expensive
Require users to organize
–Increase understanding of the problem
–Consistent tool
–Standardized format
–Specific objectives
Systematic approach to problem solving
–Analysis of tradeoffs
–Enable “what if” questions
Power of mathematics
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Pareto Phenomenon
•A few factors account for a high percentage of the
occurrence of some event(s).
•80/20 Rule - 80% of problems are caused by 20% of
the activities.
How do we identify the vital few?
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Historical Evolution of Operations Management
Industrial revolution (1770’s)
Scientific management (1911)
–Mass production
–Interchangeable parts
–Division of labor
Human relations movement (1920-60)
–Unemployment insurance
–Pension plans
Decision models (1915, 1960-70’s)
Influence of Japanese manufacturers (1970-1990)
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Trends in Business
Major trends
–The Internet, e-commerce, e-business
–Management technology
–Globalization
–Management of supply chains
–Agility
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Recent Trends !
Worker involvement
Environmental issues, emission reductions are popular after
Central European floods
Service economy in US, foreign production
E-business – information technology
Supply chain management
Total Quality Management
Globalization, emerging markets, NAFTA
Lean Production – see the next page
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Production systems classified
Craft Production : System in which highly skilled workers use
simple, flexible tools to produce small quantities of customized
goods.
–Carpenter
Lean production : System that uses minimal amounts of
resources to produce a high volume of high-quality goods with
some variety.
–Dell
Mass production: System in which lower-skilled workers use
specialized machinery to produce high volumes of standardized
goods.
–Ford
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Production systems classified
Agile=Lean manufacturing
It provides flexibility to switch quickly and economically from
one product design to another with little disruption. This
characteristic, in turn enables faster response to changes in
customer demand.
A sophisticated computerized inventory control system allows
the plant to keep track of large number of parts.
Keys to being an agile manufacturer are :
–Reduction in inventories,
–Reduction in turnaround times,
–Availability of automated flexible machinery,
–Rapid collection and processing of information
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Suppliers’
Suppliers
Direct
Suppliers
Producer
Distributor
Final
Consumer
Simple Product Supply Chain
Supply Chain: A sequence of activities and
organizations involved in producing and delivering
a good or service
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Stage of Production Value
Added
Value of
Product
Farmer produces and harvests wheat $0.15 $0.15
Wheat transported to mill $0.08 $0.23
Mill produces flour $0.15 $0.38
Flour transported to baker $0.08 $0.46
Baker produces bread $0.54 $1.00
Bread transported to grocery store $0.08 $1.08
Grocery store displays and sells bread $0.21 $1.29
Total Value-Added $1.29
A Supply Chain for Bread
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Other Important Trends
Ethical behavior
Operations strategy
Working with fewer resources
Cost control and productivity
Quality and process improvement
Increased regulation and product liability
Lean production
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Summary
Definition of OM
OM’s relationship with Marketing, Finance and
Accounting
Goods vs. service industries
OM issues, trends and models
Manufacturing systems