Week 5 - PowerPoint PPT Presentation

1 / 62
About This Presentation
Title:

Week 5

Description:

WEEK 5 FALL 2 In an ideal world, reverse logistics would not exist. Jim Whalen, In Through the Out Door, Warehousing Management, March 2001 Now, more ... – PowerPoint PPT presentation

Number of Views:51
Avg rating:3.0/5.0
Slides: 63
Provided by: Joe1164
Category:

less

Transcript and Presenter's Notes

Title: Week 5


1
Week 5
  • Fall 2

2
  • Forecasting

3
Forecasting Survey
  • How far into the future do you typically project
    when trying to forecast the health of your
    industry?
  • less than 4 months 3
  • 4-6 months 12
  • 7-12 months 28
  • gt 12 months 57

Fortune Council survey, Nov 2005
4
Indices to forecast health of industry
  • Consumer price index 51
  • Consumer Confidence index 44
  • Durable goods orders 20
  • Gross Domestic Product 35
  • Manufacturing and trade inventories and
    sales 27
  • Price of oil/barrel 34
  • Strength of US 46
  • Unemployment rate 53
  • Interest rates/fed funds 59

Fortune Council survey, Nov 2005
5
Forecasting Importance
  • Improving customer demand forecasting and sharing
    the information downstream will allow more
    efficient scheduling and inventory management
  • Boeing, 1987 2.6 billion write down due to raw
    material shortages, internal and supplier parts
    shortages Wall Street Journal, Oct 23, 1987

6
Forecasting Importance
  • Second Quarter sales at US Surgical Corporation
    decline 25, resulting in a 22 mil
    lossattributed to larger than anticipated
    inventories on shelves of hospitals. US Surgical
    Quarterly, Jul 1993
  • IBM sells out new Aetna PC shortage may cost
    millions in potential revenue. Wall Street
    Journal, Oct 7, 1994

7
Principles of Forecasting
  • Forecasts are usually wrong
  • every forecast should include an estimate of
    error
  • Forecasts are more accurate for families or
    groups
  • Forecasts are more accurate for nearer periods.

8
Important Factors to Improve Forecasting
  • Record Data in the same terms as needed in the
    forecast production data for production
    forecasts time periods
  • Record circumstances related to the data
  • Record the demand separately for different
    customer groups

9
Forecast Techniques
  • Extrinsic Techniques projections based on
    indicators that relate to products examples
  • Intrinsic historical data used to forecast
    (most common)

10
Forecasting
  • Forecasting errors can increase the total cost of
    ownership for a product - inventory carrying
    costs
  • - obsolete inventory
  • - lack of sufficient inventory
  • - quality of products due to accepting
    marginal products to prevent stockout

11
Forecasting
  • Essential for smooth operations of business
    organizations
  • Estimates of the occurrence, timing, or magnitude
    of uncertain future events
  • Costs of forecasting excess labor excess
    materials expediting costs lost revenues

12
Forecasting
  • Predicting future events
  • Usually demand behavior over a time frame
  • Qualitative methods
  • Based on subjective methods
  • Quantitative methods
  • Based on mathematical formulas

13
Time Frame
  • Short-range to medium-range
  • Daily, weekly monthly forecasts of sales data
  • Up to 2 years into the future
  • Long-range
  • Strategic planning of goals, products, markets
  • Planning beyond 2 years into the future

14
Demand Behavior
  • Trend
  • gradual, long-term up or down movement
  • Cycle
  • up down movement repeating over long time frame
  • Seasonal pattern
  • periodic oscillation in demand which repeats
  • Random movements follow no pattern

15
Forms of Forecast Movement
16
Forecasting Methods
  • Time series
  • Regression or causal modeling
  • Qualitative methods
  • Management judgment, expertise, opinion
  • Use management, marketing, purchasing,
    engineering
  • Delphi method
  • Solicit forecasts from experts

17
Time Series Methods
  • Statistical methods using historical data
  • Moving average
  • Exponential smoothing
  • Linear trend line
  • Assume patterns will repeat
  • Naive forecasts
  • Forecast data from last period

18
Moving Average
  • Average several periods of data
  • Dampen, smooth out changes
  • Use when demand is stable with no trend or
    seasonal pattern

Sum of Demand In n Periods n
19
Simple Moving Average
20
Simple Moving Average
DaugDsepDoct
MAnov
110 orders for Nov
21
Simple Moving Average
22
Simple Moving Average
91 orders for Nov
Example 8.1
23
Simple Moving Average
24
Weighted Moving Average
Adjusts moving average method to more closely
reflect data fluctuations
25
Weighted Moving Average
Adjusts moving average method to more closely
reflect data fluctuations
26
Weighted Moving Average Example
27
Weighted Moving Average Example
3 Month 110 5 month 91
28
Exponential Smoothing
  • Averaging method
  • Weights most recent data more strongly
  • Reacts more to recent changes
  • Widely used, accurate method

29
Exponential Smoothing
Ft 1 ??Dt (1 - ?)Ft where Ft 1 forecast
for next period Dt actual demand for present
period Ft previously determined forecast for
present period ?? weighting factor, smoothing
constant
  • Averaging method
  • Weights most recent data more strongly
  • Reacts more to recent changes
  • Widely used, accurate method

30
Forecast for Next Period
  • Forecast (weighting factor)x(actual demand for
    period)(1-weighting factor)x(previously
    determined forecast for present period)

0 gt ? lt 1
Lesser reaction to recent demand
Greater reaction to recent demand
31
Forecast Accuracy
  • Find a method which minimizes error
  • Error Actual - Forecast

32
Forecast Control
  • Reasons for out-of-control forecasts
  • Change in trend
  • Appearance of cycle
  • Weather changes
  • Promotions
  • Competition
  • Politics

33
Reverse Logistics Important or Irritant?
Estimated 100 billion industry in 2006 Survey
shows considerable spending on Returns
34
In an ideal world, reverse logistics would not
exist.
Jim Whalen, In Through the Out
Door, Warehousing Management, March 2001
35
Now, more than ever, reverse logistics is seen
as being important.
Dale Rogers, Going Backwards, 1999
36
Reverse Logistics - What is it?The Armys
Definition
  • The return of serviceable supplies that are
    surplus to the needs of the unit or are
    unserviceable and in need of rebuild or
    remanufacturing to return the item to a
    serviceable status

37
Reverse Logistics - What is it?The Commercial
Perspective
  • Reverse Logistics is the process of moving
    products from their typical final destination to
    another point, for the purpose of capturing value
    otherwise unavailable, or for the proper disposal
    of the products.
  • Any activity that takes money from the company
    after the sale of the product

38
Typical Reverse Logistics Activities
  • Processing returned merchandise - damaged,
    seasonal, restock, salvage, recall, or excess
    inventory
  • Recycling packaging materials/containers
  • Reconditioning, refurbishing, remanufacturing
  • Disposition of obsolete stuff
  • Hazmat recovery

39
Why Reverse Logistics?
  • Competitive advantage
  • Customer service
  • - Very Important 57
  • - Important 18
  • - Somewhat/unimportant23
  • Bottom line profits

40
Reverse Logistics - New Problem?
  • Sherman
  • Montgomery Wards - 1894
  • Recycling/remanufacturing in 1940s
  • World War II - 77,000,000 square feet of storage
    across Europe with over 6.3 billion in excess
    stuff
  • Salvage and reuse of clothing and shoes in the
    Pacific Theater World War II

41
Key Dates in Reverse Logistics
  • World War II the advent of refurbished
    automobile parts due to shortages
  • 1984 - Tylenol Scare - Johnson and Johnson
  • 1991 - German ordinance that put teeth in
    environmental reverse pipeline
  • Summer 1996 UK Packaging and Packaging Waste
    Legislation
  • 1998 - first real study of reverse logistics in
    the US - University of Nevada, Reno
  • 2001 EU goal of 50-65 recovering or recycling
    of packaging waste

42
Reverse Logistics
  • A US Army Perspective

43
Operation Iraqi Freedom
  • The US Army moved the equivalent of 150
    Wal-Mart Supercenters to Kuwait in a matter of a
    few months

44
Military Operations and Excess
  • In battle, troops get temperamental and ask
    for things which they really do not need.
    However, where humanly possible, their requests,
    no matter how unreasonable, should be answered.
    George S. Patton, Jr.

45
Janes Defence Weekly
Recent report (Aug 2003) There is a 40 hectare
(100 acres) area in Kuwait with items waiting
to be retrograded back to the US.
46
Does this create a problem?
From GAO Audit Report
47
From GAO Audit Report
48
Reverse Logistics
  • The Commercial Perspective

49
(No Transcript)
50
Reverse Logistics
  • Rate of returns?
  • Cost to process a return?
  • Time to get the item back on the shelf if
    resaleable?

51
Costs - above the cost of the item
  • Merchandise credits to the customers.
  • The transportation costs of moving the items from
    the retail stores to the central returns
    distribution center.
  • The repackaging of the serviceable items for
    resale.
  • The cost of warehousing the items awaiting
    disposition.
  • The cost of disposing of items that are
    unserviceable, damaged, or obsolete.

52
Costs
  • Process inbound shipment at a major distribution
    center 1.1 days
  • Process inbound return shipment 8.5 days
  • Cost of lost sales
  • Wal-Mart Christmas 2003 - returns 4 Days of
    Supply for all of Wal-Mart 2000 Containers

53
More Costs
  • Hoover - 40 Million per year
  • Cost of processing 85 per item
  • Unnamed Distribution Company - 700K items on
    reverse auction
  • 2001 - over 60 billion in returns 52 billion
    excess to systems 40 billion to process
  • 2010 majority of cell phones -

54
  • Estimate of 2004 holiday returns 13.2 billion
  • of estimated 2004/2005 holiday returns 25
  • Wal-Mart 6 Billion in annual returns 17,000
    truck loads (gt46 trucks a day)
  • Electronics 10 Billion annually in returns
  • Personal Computers 1.5 Billion annually
    approximately 95 per PC sold
  • 79 of returned PCs have no defects
  • Home Depot 10 million in returns in the stores
    alone
  • Local Wal-Mart 1 million a month in returns

55
Is it a Problem?
  • European influence spread to US - Green Laws
  • Estee Lauder - 60 million a year into land fills
  • FORTUNE 500 Company - 200 million over their
    300 million budget for returns
  • Same Provider - 40,000 products returned per
    month 55 no faults noted
  • K-Mart - 980 million in returns 1999
  • Warranty vice paid repairs
  • Recent survey of FORTUNE 500 Companies 12 of
    companies

56
More consequences
  • Increased Customer Wait Times
  • Loss of Confidence in the Supply System
  • Multiple orders for the same items
  • Excess supplies in the forward pipeline
  • Increase in stuff in the reverse pipeline
  • Constipated supply chain

57
Impact?
  • Every resaleable item that is in the reverse
    supply chain results in a potential stock out or
    zero balance at the next level of supply.
  • Creates a stockout do-loop

58
Results?
  • This potential for a stock out results in
    additional parts on the shelves at each location
    to prevent a stock out from occurring.
  • More stocks larger logistics footprint the
    need for larger distribution centers and returns
    centers.

59
Reverse Logistics
  • According to the Reverse Logistics Executive
    Council, the percent increase in costs for
    processing a return, as compared to a forward
    sale, is an astounding 200-300.
  • Typically, as many as 8-12 more steps per item in
    the reverse pipeline than items in the forward
    pipeline

60
The truth is, for one reason or another,
materials do come back and it is up to those
involved in the warehouse to effectively recover
as much of the cost for these items as possible.
- Whalen, In Through the Out Door
61
RFID and Returns
  • Visibility Tracking
  • Component tracking
  • Data Warehouse on what, why, when
  • Altered products
  • Not for every product

62
Impacts of Reverse Logistics
  • Forecasting
  • Carrying costs
  • Processing costs
  • Warehousing
  • Distribution
  • Transportation
  • Personnel
  • Marketing
Write a Comment
User Comments (0)
About PowerShow.com