picked and shipped per person hour. Given these economic times, it is not unexpected that the two most popular
metrics would be cost driven, and that the next two would
track internal operational performance. Clearly, what we do
in the DC has an impact not just on customer service but on the organization’s
bottom line as well.
On the up and up
When it comes to how companies are performing against those metrics, the news is
generally good. As noted above, the latest
survey showed that performance against 70
percent of the metrics studied equaled or
exceeded the previous year’s levels.
Although performance on a few of the
metrics deteriorated slightly, the general
trend was toward improvement.
Exhibit 2 identifies the metrics that saw
the biggest performance improvements
over the previous year. (When making
comparisons from year to year, we have continued to use
the median—rather than the mean, or average—because
it’s less likely to be skewed by very high or low numbers.)
All of the metrics listed in Exhibit 2 focus on a company’s internal performance, which indicates that a lot of the
respondents targeted their own operations in their efforts
to cut costs and boost efficiency this year. Of particular
note is the improvement in the “annual workforce
turnover” metric to 6. 8 percent from 10.0 percent.
Although we had expected to see improvement here, the
extent of that improvement came as a surprise. This may
be an indication that the worst of the workforce reductions are behind us and that employers have begun
staffing up again.
It’s interesting to note the improvement in performance
against three metrics related to back orders and lost sales.
While we were initially perplexed as to what was going on
here, we soon noticed that inventory levels in many DCs
and warehouses had risen at the same time. That would
help explain why companies were able to do a better job of
filling orders completely. It is difficult for us to say what’s
behind the improvement—whether it’s simply a blip on
the radar caused by the sharp drop-off in sales or the gen-
uine result of operational enhancements. As the economy
begins its journey to recovery, we’ll defi-
nitely keep an eye on inventory levels and
back orders to see if the trend holds up
over time.
Where are the points of pain?
As the song lyrics say, What goes up must
come down. This applies to some of this
year’s metrics as well. Exhibit 3 highlights
some of the operational points of pain—
the metrics that saw the biggest performance declines this year.
As for what might be behind the deteriorating performance, it’s hard to say. One
possibility is that the typical order profile
has changed, with orders getting larger. If
so, that would explain why performance
against these particular metrics—which focus largely on
speed—has declined.
Nonetheless, it appears that in most DC and warehouse
operations, this year’s theme song will be “Getting Better
All the Time.” Whether the momentum can be sustained or
not—especially if orders outpace employment—only time
will tell. But the lesson here is that standing still means losing ground to competitors. ;
About the authors: Karl Manrodt is an associate professor at Georgia Southern University. Kate Vitasek is the
founder of the consulting firm Supply Chain Visions.
Joseph Tillman is senior researcher and consultant for
Supply Chain Visions.
The authors welcome readers’ comments, suggestions, and
insights into the research and their own use of metrics. They
can be reached by e-mail: Karl Manrodt at kmanrodt@georgia-southern.edu, Joe Tillman at joseph_tillman@scvisions.com,
and Kate Vitasek at Kate@SCVisions.com.
EXHIBIT 3
points of pain: where DC performance declined
Metric
Lines picked and shipped per hour
Orders picked and shipped per hour
Dock-to-stock cycle time, in hours
Distribution costs as a of COGS
(cost of goods sold)
Days on hand - raw materials
Major opportunity
; 15.0 lines
; 3.0 orders
; 24.0 hours
; 10.1%
; 67. 2 days
Typical
; 30. 5 and ; 45. 3 lines
; 6.0 and ; 11. 4 orders
; 6. 5 and ; 15. 6 hours
; 4. 8 and ; 6.8%
; 30.0 and ; 45.0 days
Best in class
; 71.0 lines
; 23. 5 orders
; 2. 3 hours
; 2.3%
; 14.0 days
Median 2010
36.0 lines
8. 5 orders
9. 1 hours
5.1%
39.0 days
Median 2009
42.05 lines
9. 5 orders
8.0 hours
4.0%
30.0 days