Infor scm warehouse management

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Infor SCM Warehouse Management 2000
Name
Title

2
Agenda
Market View & Peer Perspective
What Our Customers and Prospects Want
Improvement through Hi-Volume Warehouse Management
How Infor SCM Warehouse Management 2000 Can Help
What Infor SCM Warehouse Management 2000 Does
Customer Testimonials and Case Study
Summary

3
Complexity Is Increasing But Mandates Are Same
Globalization and extended supply chains
Customer service expectations
Shortening product life cycles
Mergers and acquisitions
Regulatory constraints
Operational costs
Complexity
More Products
More Miles
More Partners
More Systems

4
38%
47%
52%
61%
75%
0% 10% 20% 30% 40% 50% 60% 70% 80%
Customer demands for value-add services and
unique fulfillment processes
Respond better to demand/supply fluctuations
(e.g. seasonality, promos, product introductions)
Customer demands for faster and more time-
definite fulfillment
Pressure to support business growth without
adding additional facilities
Pressure to reduce logistics costs to remain
competitive
% of Respondents Citing as Among Their Top 3 Pressures
Most Influential Pressures Driving Companies
to Improve Warehouse Operations
Cost pressures and corporate directives to support growth without additional
resources top the reasons that companies seek to improve warehouse operations.

5
Most Companies Are Struggling to Reduce
Warehousing Costs
Warehousing costs as a %
of sales (revenue):
• 21% of companies report
whsg costs are 1-2% of sales
• 21% say it’s 3-4% of sales
• 26% say it’s 5-8% of sales
• 31% say it’s 9% or more
47% of companies saw their warehousing costs increase in the past 2 years,
while top performers were able to reduce their cycle times by more than 10%.
Increased more than 10%
1-10% increase
1-10% decrease
Stayed about the same
11-20% decrease
Decreased more than 20%
6%
17%
10%
20%
26%
21%
(Adjusted for sales volume changes)
Change in Warehousing Costs Since 2004

6
Recent Retail Global Wins – Infor SCM Warehouse Management 2000
 Safeway – 40 sites - largest Voice user in the world
 Jo-Anne – Integrated end-to-end WMS, YMS, TMS
 Sonae – large retailer upgrading to the latest version
 Carrefour – 2nd largest retailer, expanded Voice, Flowthrough
capabilities
 Sobeys – expanding slotting across DC
 UK MOD – over 80 existing sites in use, implementing latest release,
beat competition
 Boots – Beat competition on regional stock room project
 Woolworths – 21 sites end-to-end solutions
 Trust Mart – 2nd largest retailer in China – 1.3 million orders per week
 RT Mart – 4th largest Chinese retailer
 Shoprite – largest retailer in Africa

7
Improvement through Hi-Volume Warehouse Management
Receiving
Replenishment
Voice Directed
Selection
InterleavingInventory Control
Labor /
Supervision
Shipping
Put-Away
Crossdocking
Satellite Control
Loading
RFID
Yard Control

8
Release & Putaway Work Flow
Status Driven (Damaged, Rework)
Cross Dock (Outbound or Kit Order)
Potential Cross Dock (Hot Pick)
Forward Pick Location
Dedicated Location (Fixed)
Storage Rules (Slotting/Zoning)
QC Inspection/Sampling
Receive Product
RF and/or Desktop
(ASN, PO, RMA, Blind)
Inbound
Order & ASN
Creation
Inbound Processing
Host Interface
LPN Labels

9
Initial Put-away Considerations
Location & zoning strategy
 Forward pick and/or random storage
 Zoning classifications (A, B, C)
 Item classifications & associated putaway rules
Establish putaway rules to meet strategy
 “A” velocity items  “A” zone, overflow to “B”, “C”
 “B” velocity items  “B” zone, overflow to “C”
 Replenishment of forward picks

10
Inventory Management
 Lot, Date and Serialized controls
 Date control – expiration, mfg, deliver
by, receipt date, best by
 Zone Configuration Settings
 Paper, RF, Automated, Label Directed
 Cycle Counting
 Planned Options (zone, item, location,
date)
 Discrepancy Triggers (Pick Short)
 Automatic Trigger on Inventory Level
(Pick to 0)
 User Initiated (On Demand)
 Supervisory Escalation
 Real Time Updates
 Location and LPN Count Options
 Real Time Transactions
Shipping
Potential
Cross Dock
QA102
Each
SHIP103
SHIP105
SHIP104
SHIP102
SHIP101
Prod. Center
Staging
Bulk Floor
Bulk Floor
QA101
Receiving
RECV101
RECV102
RECV103
RECV104
A1
A2
CONV
VNA
VNA
A3
A4
A5
A6
A7
A7
A6
A8
A9
A10
A10
A11
A12
A12
A13
A13
A14
A14
REC1
QAA1
QAA2
PCD
A20
SHP1
SHP1
FF
II
FF
OO
FF
II
FF
OO
EachEach
PickPickCaseCase
PickPick
ClusterCluster
PickPick
ClusterCluster
PickPick
LIFOLIFO
AREAS

11
Picking Options
(RF, Paper, Mechanical, Label)
(by Order, Carrier, Zone, Pick & Pack
Outbound Process
Host Interface
Customer
Order
Creation
Pick List
Pick Labels
Pre-Manifested Labels
Release,
Allocate &
Pre-Cartonize
Orders
Triggered Cycle Count &
Replenishment
Check Pack,
Trailer Load,
Paperwork &
Ship Order
Address Label
BOL
Packing List
Manifest

12
Forward Pick & Replenishment
 Multiple forward pick locations by
product
 Multiple UOM picking
 Replenishment
 Dynamic
 Batch (Cherry Pick)
 Stocker
 Material selection rules
for replenishment
 Execution Features
 Triggers based on demand
 Executes based on space
available
 Pick & replenishment are
sequenced

13
Resource & Task Management
Real-time automatic prioritized task assignment
Balances labor force and work load
Prioritized task list by operator role
 Task type
 Work zone
 Wave type
 Order, shipment, carrier, trailer
Task interleaving
 All task types
 Force or proximity

14
Wave Planning – Flexible and Adaptable
Enhanced Wave Work
Bench
Enhanced Query Building
capabilities

15
Wave Planning
 Wave building
 Flexible order grouping
 Wave templates
 Wave planning
 Material substitution and back orders
 Order consolidation for batch picking
 Wave release
 Labor management
 RF, list, cluster, labels
with over-ride
 Configurable
 Zone priorities
 Pick size sensitivity
 Full load, full carton
 Clean partials, clean location
 Product date sensitivity

16
Material Allocation
Prioritized rules
 Zone priorities
 Full pallet
 Full carton
 Forward pick
 Partial
 Rotate Pick
Code dates
 Expiration date (FEFO/LEFO)
 Receipt date (FIFO/LIFO)
 Manufactured date

17
Picking Methodologies
 Pick by order
 Pick by trailer
 Cluster picking
 Batch picking
 Zone picking
 List picking
 Label picking
 RF picking
 Voice Picking

18
Voice Directed Work
 Infor was the very first SCE
company to have real-time Voice
interface
 Operating on forth release of
Voice software
 More voice installations than all
other SCE companies combined
 Fully integrated with Labor
processing
 Real-time “Balance on Hand” in
the pick

19
Cartonization
Pick multiple orders
in a single pass
WMS optimizes travel path
Optional container
selection logic
Optional pallet size
selection logic
Pre-print shipping labels

20
Staging, Packing and Shipping
 Drop Points
 Hauling
 Pallet Re-build
 Pallet consolidate
 Shipping labels
 Shipping paperwork
 Pull for shipment
 Trailer loading
 Load Sequencing
 Operator directed
 System directed

21
Cross Dock Handling
Cross Dock
 Putaway process initiates
a pick command
Planned Cross Dock
 Pre-define hot pick areas
Owner
Item
Location
quantity
 Putaway process directs user to hot pick area until established
quantity is filled

22
Receiving
Staging
D1
Unloading
of pallets
Pallet receiving buffer
Suppliers Receiving
D2 D3 D100
Pick to
zero
Dispatch
Loading
Flow Through
Destinations = Stores
Contents of loads
are recorded into
inventory.

23
Yard Management – Improved Scheduling
 Real time inventory visibility for
trailers and their contents
 Wireless communication to yard
drivers
 Wireless “fast gate” capability
 Configurable rule engine to
automate all trailer move tasks
 Web based self-service
appointment system for vendors
and carriers
 Automatically build unload
schedules based on definable
rules
 Automatic notification to vendors
or carriers upon schedule changes
 Increase asset usage up to 15%
 Increase driver productivity up to
30%
 Increase dock door turnover

24
Improved Labor Productivity
System Directs Users Based on
Task Priority and Qualification
• Reduce Travel Time
• Reduce Product Search Time
• Monitor Tasks
Labor Savings of 30% to 60% Are
Possible From Process
Improvements
•Task Direction via RF/Voice
•Productivity Management with
Labor Standards
Monitoring
Real-Time
Better Resource Utilization and Optimization
Means Reduced Labor Costs

25
Labor Management
SELECTION METHODS
 VOICE
 RF HAND-HELD DEVICES
 PICK TO LIGHT
 PAPER
LABELS
PICK LISTS / PICK TICKETS
REPLENISHMENT METHODS
LET DOWNS
CHERRY PICKING
PALLET MOVES
INTERLEAVING

26
Labor Management
PUT-AWAY & HAULING METHODS
FORK LIFT HAULING
PALLET JACKS
TUGGERS
INTERLEAVING
RECEIVING METHODS
PAPER
RF HAND HELDS
COMBINATION OF THE ABOVE
LOADING & UNLOADING METHODS
PAPER
RF HAND HELDS

27
Labor
 Discreet labor standards
 Direct and Indirect work can be tracked
 All DC points defined in a warehouse
 Captures travel using specific X,Y,Z coordinates
 Defines capabilities & restrictions of equipment
 A fatigue factor is considered for all activities
 Time based data repository for single activities (engineering standards)
 XY Layout of facility
 Analyses optima for pick path, activity sequences etc.
 Monitoring of individual performance as a base for bonus system
 Prep time for all activities
 Considers aisle congestion
 All Scanning
 All Labeling
 Catch weight
 Verification Methods

28
Resource Utilization - Space and Inventory
Better use of all available space
typically means 20-30% more efficient
use of warehouse space so more
product can fit in heavy seasonal flow
of goods.
Better accuracy on Inventory can
mean same amount of revenue
can typically be supported with 5-
8% less inventory.
Better Resource Utilization Means less product needed to
support sales and more room for seasonal fluctuations !

29
Voice Directed Work
 Infor was the very first SCE
company to have real-time Voice
interface
 Operating on forth release of
Voice software
 More voice installations than all
other SCE companies combined
 Fully integrated with Labor
processing
 Real-time “Balance on Hand” in
the pick

30
Reporting
Advanced Production Reporting
 Embedded and installed with WMS
All features run within WMS
Meta data layer
 Query Studio
Easy to use ad-hoc reporting
Designed for business users
Based on easy to understand meta data
Create new reports
Change existing reports
 Report Studio
Full featured, web-based report authoring
Provides easy way to add complex reports
 Public and personal folders

31
Slotting
. Criteria:
 Fast movers close to dispatch or
main axis
 Heavy product ergonomically
presented
 Goal: Optimize Pick Performance
via shortened travel time
Before Optimization
After Optimization
Slotting is a tactical process and
means optimum arrangement of
pick slots in the DC

32
Event Management
Monitors the execution of all applications and processes
Pre-defined “monitors” with closed loop workflows
Intelligent alerts and messages across the community
Reporting and analysis tools
Monitor &
Alert
Avg
Performance
Control
Range
KPI examples:
KPI Results
Avg
Performance
KPE Results
KPE examples:
Don’t Report on KPI’s, IMPACT them through proactive KPE’s

33
Inventory Track & Trace
Reverse Logistics
Enables track and trace of parent child supply chain disseminations for product recalls,
delivery compliance, recycling, warranty tracking, COOL, etc
CASE 3 CASE 4
A F
D H
CASE 1
Tag 1
CASE 1 CASE 2
Tag 5
Each case is identified
by a unique Tag
Cases are loaded
onto a pallet for
transport. The pallet is
uniquely identified by
an Tag
B E
D G
CASE 2
Tag 2
C G
E B
CASE 3
Tag 3
B E
A C
CASE 4
Tag 4
Product Movement
Information Flow
A B
C D
E F
G H
Product is
packed into
mixed cases
Product
Group AB
Product
Group CD
Product
Group EF
Product
Group GH
A B
C D
E F
G H
Product is
consumed by end
customer - with
total traceability
Store 1
Store 2
Store 3
Store 4

34
RFID and Compliance Services
 Cost Savings
 Reduced labor for data collection
 Receiving, Shipping and Inventory
transactions
 Optimal Information
 Reduce number of data errors
 Increase data collection speed
 Optimal Facility Configuration
 Redesign physical layout for line
of sight
 EPCglobal Compliance
 Serialization – Ability to identify
each unit via unique identifier
 Industry standard data and
communication protocols

35
Dashboards – Intuitive to Use
 Enhanced Navigation facility
 Enhanced Reporting
 User Personalization
Enhanced
Reports
Role Based
Navigation
User Favorites

36
MHE Integration

37
Summary
Hi-Volume Warehouse Management Helps You do more
with less.
Infor SCM Warehouse Management has a history of
helping retailers worldwide to improve productivity, labor
management and facility utilization.
Leading capabilities like wave planning, crossdocking,
flowthru, labor management, yard management, voice,
slotting, and event management help clients improve asset
turnover and reduce distribution costs making them more
profitable.

Infor scm warehouse management

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