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Autor:   •  May 12, 2016  •  Course Note  •  1,359 Words (6 Pages)  •  664 Views

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  1. Critical Questions
  1. Is there demand for it? Conduct primary research, in person or on phone
  1. Is my design a “vitamin” or a “pain killer”? AKA is it actually good for you or just nice to have?
  1. Can we build it?
  2. What level of product quality is appropriate?
  3. Does it make economic sense?
  1. Design Considerations
  1. Reasons for product design/redesign?
  1. Economic – Reduced demand from recessionary economy
  2. Social/demographic – Products for aging population, home design
  3. Political – Low income apts in NY high-rises
  4. Competitive
  5. Cost/availability of raw material
  6. Technological – Speed, footwear, cars
  1. Value Analysis – An examination of the functions of parts and materials in an effort to reduce cost or improve performance of a product (don’t memorize)
  1. Could a cheaper part or material be used? Say no if it reduces quality, or safety
  2. Is the function necessary?
  3. Can the function of two or more parts be performed by a single part for a lower cost?
  4. Can a part be simplified?
  5. Can product specifications be relaxed?
  1. Objectives of product/service design
  1. Primary focus
  1. Customer satisfaction
  2. Understanding what the customer wants
  1. Secondary focus
  1. Function
  2. Cost
  3. Quality
  4. Appearance
  5. Ease of production
  6. Ease of maintenance
  1. Legal, ethical, environmental
  1. Legal (FDA or Product Liability)
  2. Ethical – Releasing products with defects/potential hazards
  1. Time constraints
  1. Environmental – Emission of vehicles
  1. Other issues
  1. Product life cycle
  1. Short: Phones (1-2 years), Fashion (Seasonal)
  2. Long: Soda and candy
  1. How much standardization?
  1. Capacity – Upper limit on load that an operating unit can handle
  1. Equipment – More equipment or more sophisticated
  2. Space – Leasing vs. Buying
  3. Employee skills
  4. Questions:
  1. What kind of capacity is needed? Production, financial, etc.
  2. How much is needed?
  3. When is it needed?
  1. How much will it cost?
  2. How will it be funded? Loan, donations, investors, grants, vendor financed
  3. Return on investment? Cost of capital
  4. What are the potential benefits and risks? Degree of business certainty? Rate of change of demand?
  5. Profits and time forfeited to implement capacity changes? AKA opportunity costs
  1. Capacity Decisions
  1. Capacity decisions affect:
  1. Ability to meet future demand
  2. Operating costs – Excess capacity can mean higher unit costs because overhead and fixed costs are spread over a smaller amount of production
  3. Competitiveness – Excess capacity can be a competitive advantage because they have the % capacity to make a product quicker than others
  4. Ease of management excess – Excess capacity operation is easier to manage
  5. Globalization adds complexity – Time becomes more of an issue
  1. Define and Measure
  1. Design capacity – Max output rate than an operation or facility is designed for; very general approach to developing a project
  2. Effective capacity: Design capacity – Allowances for personal time, scrap, and maintenance
  3. Actual output – Rate actually achieved in units/day, month, or year
  1.  Effective Capacity
  1. Determinants
  1. Facility size and layout
  2. Product design
  3. Process factors – batch processing
  4. Human skills and experience
  5. Company policy factors, whether overtime allowed, holidays
  6. Operational factors – Differences in equipment type, inventory stocking decisions, quality control
  7. External factors – Environmental regulations
  1. Efficiency and Utilization
  1. Efficiency = Actual output/Effective capacity
  1. Answer is expressed as a percentage
  1. Utilization = Actual output/Design capacity
  1. Answer also expressed as a percentage
  1.  Steps for Capacity Planning
  1. Forecast capacity requirements
  1. Long term – Overall level of capacity and factors in cycles, seasonality, trends
  2. Short term – Variations from seasonal, random, irregular fluctuations in demand
  1. Seasonal demand:
  • Yearly – Halloween
  • Monthly – State paychecks, social security
  • Weekly – Restaurants
  • Daily – Public transportation.
  1. Calculating processing requirements. 1 machine operates 8 hours a day and 252 days/year

Product

Annual demand in units

Processing time/unit

Process time needed (calculate it)

1

500

7 hours

3500 hours

2

100

9 hours

900 hours

3

900

3 hours

2700 hours

  1. Calculating process time needed = 3500 + 900 + 700 = 7100 hours
  2. Divide process time by 1 machine’s capacity: 1 machine can do 8 hours x 252 days = 2016 hours. 7100/2016 = 3.5 = 4 (Round up to 4 because you can’t buy half a machine)
  1. Service Capacity
  2. Capacity Alternatives
  1. In house aka in your facility
  2. Outsource aka obtain goods/service from external supplier
  3. How to make that choice?
  1. Available capacity
  2. Expertise
  3. Quality Considerations
  4. Nature of demand – Wide fluctuation, smaller orders outsourced
  5. Cost
  6. Risk
  1.  Capacity Strategy
  2. Calculations
  1. Manager has the option to buy 1, 2, or 3 machines. Variable costs are $17/unit, revenue is $74/unit. Projected annual demand is 670-750 units. How many machines should he buy?

# of machines

Annual fixed costs

Annual output

1

$10,200

0-400

2

$17,000

401-700

3

$20,000

701-1100

  1. QBEP = 10,200/74-17 = 179 units
  2.  QBEP = 17,000/74-17 = 299 units
  3. QBEP = 20,000/74-17 = 351 units
  1. Is projected annual output greater than the breakeven point? Yes for all.
  2. What is minimum # of machines to meet demand? Only 3 machines meets that requirement.

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