Infor scm warehouse management

Copyright © 2008 Infor. All rights reserved. www.infor.com.

Content is directional information only. Non-committal and may change at Infor discretion.

Template V.32, July 2, 2008

Infor SCM Warehouse Management 2000

Name Title



Content is directional information only. Non-committal and may change at Infor discretion. 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




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




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.




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




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




Improvement through Hi-Volume Warehouse Management

Receiving

Replenishment Voice Directed

Selection

Interleaving Inventory Control

Labor /

Supervision

Shipping

Put-Away

Crossdocking Satellite Control

Loading

RFID

Yard Control




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




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




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

Sh

ipp

ing

Potential

Cross Dock

QA102

Each

SHIP103

SHIP105

SHIP104

SHIP102

SHIP101

Prod. Center

Staging

Bulk Floor

Bulk Floor

QA101

Receiving

RE

CV

10

1

RE

CV

10

2

RE

CV

10

3

RE

CV

10

4

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

QAA2PCD

A20

SHP1

SHP1

FF

II

FF

OO

FF

II

FF

OO

EachEachPickPickCaseCase

PickPick

ClusterClusterPickPick

ClusterClusterPickPick

LIFOLIFO

AREAS




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




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




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




Wave Planning – Flexible and Adaptable

Enhanced Wave Work Bench

Enhanced Query Building capabilities




Wave Planning

Wave building Flexible order grouping

Wave templates

Wave planning Material selection rules

Material substitution and back orders

Order consolidation for batch picking

Wave release Labor management

RF, list, cluster, labels with over-ride

Material selection rules Configurable

Zone priorities

Pick size sensitivity

Full load, full carton

Clean partials, clean location

Product date sensitivity




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




Picking Methodologies

Pick by order

Pick by trailer

Cluster picking

Batch picking

Zone picking

List picking

Label picking

RF picking

Voice Picking




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




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




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




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




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.




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




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




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




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




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




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 !




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




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




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




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




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

http://www.fda.gov/medwatch/how.htm

http://www.fda.gov/medwatch/how.htm




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




Dashboards – Intuitive to Use

Enhanced Navigation facility

Enhanced Reporting

User Personalization

Enhanced

Reports

Role Based

Navigation

User Favorites




MHE Integration

http://www.saehou.com/home.asp




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.

Date post:	11-Feb-2017
Category:	Software
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