Managing Operations Flashcards
(105 cards)
3 Management Processes in Operations
- supplier relationship
- internal management
- customer relationship
Goal of Operations Management
Make the operations as efficient as possible
Inputs (materials, capital) –> Operations –> Outputs (products, services)
Productivity
Efficiency is measured in Productivity which = output/input
Output always measured in dollars
Find out what resource is scarce or expensive and focus on it (measure their productivity)
Productivity in Different Countries
- US is the leader
- Why does productivity in countries matter? You can only consume what you produce - standard of living is dependent on productivity.
- e.g. highway - can drive 70 mph…in US takes one hour, in a country where you can only drive 35 miles per hour, will take 2 hours
- highly concentrated countries are more productive (e.g. Japan)
US employment by Sector
Services, Manufacturing, Government, Agriculture
- productivity of manufacturing has gone up dramatically
- manufacturing jobs have gone down
Manufacturing vs. Service
M - physical, durable output, S - intangible, perishable output (you can’t store service)
M - easily measured, S - not easily measured
M - low customer contact, S - high customer contact
M - long response time, S - short response time
Factors Affecting Productivity (11)
- Investments in plant and equipment. Newer equipment = higher productivity
- R&D Spending. higher spending = more innovations = higher productivity
- Patent Laws - better patent laws, people will invest in R&D in those countries
- Regulations - increase costs
- Taxation - serious problem - US are taxed on global income (not just their income from the US)…not favorable for companies earning high proportions of incomes from foreign countries
- Metric System - US follows Foot Pound Second (FPS)
- Health Care Costs
- in the US, health care is paid by the employer (part of the cost of production)
- outside the US, paid by taxes - Price Earning Ration (earnings per share) - higher ratio = higher competitiveness. e.g. if you’re P/E is 20, you can raise $20 from $1 in the market. Companies should try to have as high a P/E as possible
- Education - matters because if you don’t have high paying jobs to pay people with the highly educated people
- US values college education versus vocational education - Hourly Wages
- Value-Added = price - cost of inputs
Challenges the US is facing (6)
- High Trade Deficit (the good news is, most of the imports into the US is energy and energy use is going down)
- Rising Current Account Deficit - almost 95% of the world’s savings coming into the US
- Falling dollar reducing the standard of living
- Rising entitlement spending - social security payments, fewer and fewer people working in the US
- Dramatic growth in China and India increasing costs of raw materials and energy
- Loss of competitiveness - everybody else has started building up better infrastructure and becoming more competitive
Production Systems (4)
- Job - e.g. printing press. high customization, high variety, volume low and unique, every job is unique - one extreme*
- Project - building shopping centers. high customization, low volume
- Batch - e.g. mcdonalds - low variety, standardized product, high volume - the other extreme*
- Line - between batch and continuous process - refineries, little inventory held between processes
America’s Race to the Bottom
- making less money today than in 1985, MBAs rarely get union jobs and those pay highly, unions have been going down
- less unions
Wages as a proportion to the GDP
60’s-70’s - 51/52%
Today - 42% (GDP is rising but wages are not)
Retirement Plans
- defined contribution is like 401K plan (depends on the stock market return) - this has been rising in the past 30 years
- defined benefit - take final salary, each year give you 2% of your final salary (if you work for 30 years, you get 60% of your ending salary) - this has been falling in the past 30 years
- less defined contribution
H1-B Visa Issuance Cap
- employer sponsored
- after 9/11, outsourcing went up - employees had worked in the US but were sent back, so companies outsourced the work and paid the local currency
- large number of jobs outsourced
Trends in Ops: Yield Management
- Simply by charging different prices to different segments based on their likelihood for payment, you don’t have to spend any more money on resources (in Atlantic City example - bus, gas, etc) but you fill the bus and maximize your profit
- Ideal for perishable items - (airline seats have no value after the plane takes off, hotel rooms have no value for that night after the night is over, etc.)
Success in Yield Management - The trick is to segment your customers and know how much they are willing to pay
- fixed costs high, variable costs low
- product can be sold in advance
Trends in Ops: Modular Design
- use standard components to produce a variety of products
- e.g. Lego Set
- customization and standardization can be achieved simultaneously
- trend - instead of nuts and bolts, use adhesives
Trends in Ops: Profit Pool
- profits rather than revenue
- considers both revenue and profit margin
- usual example is computers - hardware, processor, operating system, assembly, financing, trading, etc. By examining profit pools, company identifies deepest pool that will make max profits
- walmart will make larger items (destination product) less expensive but then charge more for cords, etc.
Trends in Ops: Winner Takes All
- many industries have high competition so their income depends on your rank
- if you’re not #1, there is no use (90% market share versus 10%)
Trends in Ops: Microprocessors
- in cars, etc
- build logical designs
Steps in Long Term Planning
- Forecasting
- Capacity Planning
- Location
- Facility Layout
- Process Design/Time Measurement
Forecasting
- The first (and fundamental) step in long term planning - vital function and impacts every management decision
- Used by all departments (accounting, marketing, production, etc.)
- Forecasting: What will happen
- Planning: What you want to happen
- Schedule: when to do the plan (starting and completion dates)
- Forecast effort should be proportional to the magnitude of the decisions made
- There will always be some error in forecasting
Four Types of Forecasting (4)
- time-series analysis (based on the idea that data relating to past demand can be used to predict future demand)
- casual relationships
- qualitative
- Simulation
Product Life Cycle
- R&D (innovators)
- Introduction (early adapters)
- Growth (early majority)
- Maturity (late majority)
- Decline (laggards)
Time Series Decomposition
- chronologically ordered
- may contain one or many of the following elements:
trend, seasonal, cyclical, autocorrelation and random - identifying these elements and separating the time series data into these components is known as decomposition
Components of Demand (6)
- Average demand for a period of time
- Trend
- Seasonal Element
- Cyclical elements
- Random variation
- autocorrelation