Title: Manufacturing Systems: Maybe It IS Rocket Science
1Warehouse Operations Performance Assessment and
Benchmarking
2Agenda
- What you need to use iDEAs
- What iDEAs can do for you
- What weve learned so far
3Warehouse Operations
- Consume resources
- Space
- Equipment (and software)
- Labor
- Inventory
- Produce services
- Customer orders filled
- Replenishment orders received
- Value adding services
- Returns processed
Unload
Receiving Function
Inspect
Put Away
Storage Function
Order Pick
Shipping Function
Pack
Load
4Over 300 qualified users
5What do you need to use iDEAs?
- Internet connection
- Standard Browser
- Warehouse data
- Less than an hour online
6Over the Internet
Your data is private and secure
Html documents
Database
Solver
At your site
Georgia Tech Server
7Process
- Create a user account
- Create a data record
- Input/output data
- Warehouse data
- Run the analysis
- Score percentile
- Partial efficiency analysis
- Benchmark warehouse comparison
8How do you assess performance?
9The Basic iDEAs
Activities
10SYSTEM EFFICIENCY CONCEPT
B
11Your Warehouse SAT
12Now you know how you compare
- To the best possible
- Ranking in the peer group
- What drives your performance?
13Partial Efficiency
Lines picked
Partial productivity is the ratio of one output
to one input
Total labor hours
Lines picked
Your
Partial efficiency is the ratio of your partial
productivity to the best partial productivity in
your peer group.
Total labor hours
Lines picked
Best
Total labor hours
14Performance Gap Analysis Illustration
15Partial Efficiency (PE) Analysis
- PE can be decomposed into 7 multiplicative
factors including DEA. - Partial Efficiency
- Technical Efficiency
- ?Technical Change
- ?Scale Efficiency
- ?Input Slack Factor
- ?Input Substitution Factor
- ?Output Slack Factor
- ?Output Substitution Factor
?waste
?can be fixed, long term
?not a warehouse issue
?excessive resources
?wrong mix of resources
?overproduce some services
?wrong mix of services
16Efficiency Gap Analysis
Broken case lines
Full case lines
Investment dollar
Investment dollar
3
21
49
1
49
18
18
17
12
21
40
17
Current status against the best practice
1
System-based inefficiency (based on DEA score)
operational
Slack of this individual output
tactical
improvement
opportunity
Scale difference
Input mix difference
strategic
Output mix difference
17The Basic iDEAs
- One system efficiency score
- Relative to the best possible based on a
specified peer group - Partial efficiency analysis
18Results to Date
19Industry
auto (21, 11.8)
Not classified
(49, 27.5)
electronics
(20, 11.2)
Others (10, 5.6)
furniture ( 7, 3.9)
publishing ( 6, 3.4)
food product
photographic ( 8, 4.5)
(25, 14.0)
Pharmaceutical (12, 6.7)
Healthcare( 7, 3.9)
Office( 7, 3.9)
machine ( 6, 3.4)
20Operation Types
3PL ( 9, 5.1)
distribution
(22, 12.4)
Others
(35, 19.7)
manufacturing
wholesale
(62, 34.8)
(29, 16.3)
retail (21, 11.8)
21Picking Mode
Broken Case
(66, 37.1)
Full Case
(27, 15.2)
Pallet
( 8, 4.5)
Mixed (77, 43.3)
22(No Transcript)
23General Conclusions
- We can quickly compute a resource efficiency
score for any warehouse - Percentile ranking against peers
- No matter how we define peer group
- Some are resource efficient
- 25 are below 50 resource efficiency
- The average resource efficiency is 75
- Now what?
24Benchmarking and Best Practices
Illustration Purposes Only!
25Inventory Turnover Effect
Efficiency
26Labor Turnover Effect
27Seasonality Effect
28Where do we go from here?
- Benchmarking
- Industry and company-specific versions of iDEAs
29THANK YOU!