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Redefining the Perfect Order Metrics

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Title: Redefining the Perfect Order Metrics


1
Redefining the Perfect Order Metrics
  • Dee Biggs
  • GMA IS/ LD Conference
  • April 12, 2005

2
Agenda
  • Background
  • Current Metrics
  • Suggested Metrics
  • Implications

3
Background
  • The current metrics defining perfect order is
    about seven year old
  • Current metrics were established by a joint
    industry team from FMI and GMA
  • However, the current joint industry team working
    on collaboration recommended they be revised and
    updated
  • A committee was assigned and work began in the
    Fall of 2003

4
Team Members
  • Marianne Timmons Wegmans
  • Bob Mooney Meijer
  • Leona Meikle Land O Lakes
  • Joe Wisdo Pfizer
  • Dee Biggs Welch Foods

5
Why do we need Perfect Order metrics ?
  • To measure and improve our Joint Supply Chain
  • To identify those measure that are critical to
    the success of our Joint Supply Chain

6
Supply Chain Council
  • Defines Perfect Order Fulfillment as the
    performance of the supply chain in delivering
  • The correct product
  • To the correct place
  • At the correct time
  • In the correct condition
  • In the correct package
  • In the correct quantity
  • With the correct documentation
  • To the correct customer
  • With a correct invoice

7
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8
Current Metrics
9
Current Metrics
  • Orders Shipped Complete
  • On-Time Delivery
  • Accurate and timely invoice
  • No Damage

10
Complete Order
  • A complete order is shipping every case ordered,
    in the exact quantity shown on the order
  • If the order is changed, the objective is to ship
    the revised order complete
  • This measurement can only be either 100
    performance or 0 performance per order, as the
    order is either complete or incomplete

11
On-Time Delivery
  • An on-time delivery is a delivery on the day and
    at the time requested by the warehouse
  • The margin of error is defined by plus or minus
    30 minutes
  • In the event the warehouse cannot accept the
    order on that day and time and the order must be
    rescheduled, the measure is against the
    rescheduled date, not the original date

12
On-Time Delivery
  • The specific time of arrival is measured at the
    moment the truck arrives and is prepared to be
    unloaded
  • For example, if the trucker checks in on time,
    waits three hours, but was ready to unload at the
    appointed time, the order is on-time

13
Accurate Invoice
  • An accurate invoice is one in which no changes
    have occurred, with a few exceptions
  • In the event multiple deductions are applied to a
    single invoice each invoice creating a
    deduction, if valid, must be treated as an
    invalid invoice

14
Accurate Invoice
  • In the event of a deduction for a non-invoiceable
    item, like a late delivery or a cut order, the
    invoice is considered accurate
  • In the event an invalid deduction occurs, the
    invoice is accurate

15
Damage-free Shipment
  • A damage-free order is one in which the customer
    receives the product and does not reject anything
    due to damage
  • This can be measured via the bill of lading, as
    the customer will sign the bill as short due to
    damage and reject the product

16
Damage-free Shipment
  • In the event of hidden damage, due to the
    uncertainty of when and how it happened, this
    metric will not be impacted

17
Suggested New Metrics
18
Suggested New Metrics
  • Cases shipped vs. ordered
  • On-Time Delivery
  • Data synchronization
  • Damage (unsaleables)
  • Days of supply
  • Order cycle time
  • Shelf level service

19
Cases Shipped vs. Ordered
  • A simple ratio of cases shipped to cases ordered
  • Also known as fill rate
  • Example ordered 100 cases, shipped 99, fill rate
    is 99
  • Should reflect customers last iteration of the
    order
  • Replaces orders shipped complete

20
Cases Shipped vs. Ordered
  • Measure this based on when the order is scheduled
    to ship, not when you actually ship the product
  • For example, if the order is held one day so
    product can be produced, this should be measured
    as a cut, because the product was not available
    on day scheduled for shipment

21
On-Time Delivery
  • On-time will be defined as one hour early, but
    not late
  • For example, if the appointment is at 8am,
    on-time will be defined as 7am to 8 am
  • Anytime after the appointment will be considered
    late
  • Current metrics is /- 30 minutes of the
    appointment

22
On-Time Delivery
  • If customer cannot receive on the date desired by
    buyer, and appointment is delayed, the delivery
    will not be counted as late, if the manufacturer
    was ready to meet the initial appointment date
  • Manufacturers are recommended to measure on-time
    delivery to both the buyers desired delivery date
    and the carriers appointment date in most cases
    they will be the same

23
On-Time Delivery
  • Customer pick-ups will also be measured to the
    appointment time
  • Manufacturers are recommended to separate shipped
    orders from pick-ups when reporting on-time
    delivery results

24
Data Synchronization
  • This is a measure of the percentage of item fully
    synchronized between the two trading partners
  • For example, if a retailer/wholesaler buys 100
    items and 70 are fully synchronized, the metric
    is 70
  • The goal here is to strive for 100
    synchronization

25
Damage (unsaleables)
  • The primary metric is unsaleables
  • Typically measured as a ratio of unsaleables
    dollars to sales dollars
  • Manufacturers are encouraged to break out
  • Manufacturing damage
  • Carrier damage
  • Customers warehouse damage
  • Store damage

26
Days of Supply
  • Measures days of supply at retailer warehouse and
    at the store, if possible
  • Days of supply is defined as days forward
    coverage
  • Measures can be expressed as days of supply,
    dollar inventory, case inventory
  • Focused on identifying non-optimum levels of
    inventory at various points in the supply chain

27
Order Cycle Time
  • Key measure at most retailers
  • Defined as the length of time between a
    manufacturer receiving an order and the actual
    delivery of the order to the customers warehouse
  • Can be measured in hours, days, weeks
  • Order cycle time needs to be continuing pressured
    down to aid in reducing inventory investment

28
Service at the Shelf
  • The singularly most important metric is our joint
    supply chain
  • Hard to measure
  • Currently, retailers measure voids, which
    directionally provides a service level
  • However, it is not accurate in terms of defining
    true out-of-stocks

29
Service at the Shelf
  • The ultimate goal here is to create a fill rate
    at the store for each sku
  • Example - demand is 20 units per day and 20 units
    were sold 100 service

30
Old vs. New Metrics
  • OLD
  • Orders Shipped Complete
  • On-Time Delivery
  • Accurate and timely invoice
  • No Damage
  • NEW
  • Cases shipped vs. ordered
  • On-Time Delivery
  • Data synchronization
  • Damage (unsaleables)
  • Days of supply
  • Order cycle time
  • Shelf level service

31
The Multiplier Effect
  • Some companies have multiplied each element
    together to create a single Perfect Order
    percentage
  • Orders Shipped complete 95
  • On-Time Delivery x 95
  • Damage Free x 99.9
  • Invoiced Accurately/Timely x 80
  • TOTAL 72.1
  • Not recommended to use the multiplier effect

32
The Multiplier Effect
  • One possible use of Multiplier Effect is
    combining fill rate and on-time delivery
  • Some retailers currently use this metric

33
Metrics we considered but .
34
Parking Lot Metrics
  • Warehouse to store fill rate. This information
    is typically available to trading partners in a
    CRP/VMI relationship. This is a good indicator
    of potential problems later in the supply chain.

35
Parking Lot Metrics
  • Service specifically on ad merchandise. This
    would be a fill rate on all ad orders as measured
    from retailer warehouse to the store.
  • Backhaul, as a measure of a specific lane. This
    might be included to make sure both parties are
    focused on moving the freight in the cheapest
    possible manner that meets all service
    expectations.

36
Parking Lot Metrics
  • Aged inventory. The intent would be to drive
    aged inventory out of the system and have a goal
    of zero aged inventory. (Aged inventory applies
    to both warehouse shelf life and consumer shelf
    life.)
  • Fees and penalties. This is a measure of fees and
    penalties between two trading partners.

37
Parking Lot Metrics
  • Order accuracy. This is a measure of order
    accuracy as the order gets to the manufacturer.
  • Accurate and timely invoices. This is one of the
    current measures and in many ways is still a good
    measure, but is very difficult to measure. As a
    result, it doesnt get used as often as it should.

38
Parking Lot Metrics
  • Picking errors as a percentage of total cases
    picked, or total orders picked. The focus here
    is to identify mispicks, so they can be
    eliminated.

39
Implications
40
What Do I do with all this information?
  • Retailers
  • Establish a process to capture each key element
    of the Perfect Order
  • Create a scorecard with those elements that are
    the most important to you
  • Weight each item some are more important than
    others

41
What Do I do with all this information?
  • Retailers (continued)
  • Share the data with your suppliers, and establish
    goals for each element
  • If possible, put scorecard on web
  • Make someone responsible, and incent them
    accordingly
  • All metrics should have common definitions
  • Track, monitor and adjust as necessary

42
What Do I do with all this information?
  • Manufacturers
  • Develop a plan to measure each element
  • Make someone responsible
  • Select at least one customer and begin a pilot
    program to measure these elements
  • Use the data to improve your joint supply chain

43
Next Steps
44
Next Steps
  • Each company does not have to accept each metric
  • However, each company is recommended to select
    those that are important and measure them
  • Industry benchmarking will focus on the new
    metrics
  • Suggested start date is January 1, 2006
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