Systematic Collaboration in the Supply Chain Planning, Forecasting, and Replenishment Ram Viswanatha

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Systematic Collaboration in the Supply Chain Planning, Forecasting, and Replenishment Ram Viswanatha

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Title: Systematic Collaboration in the Supply Chain Planning, Forecasting, and Replenishment Ram Viswanatha


1
Systematic Collaboration in the Supply Chain
-Planning, Forecasting, and Replenishment Ram
ViswanathanErnst Young LLP, St.Louisram.viswan
athan_at_ey.com(314) 259-1823
2
The Supply Chain Challenge
  • To ensure that all operations are customer
    focused, with minimal duplication of effort, and
    continuous improvement

Manufacturing Requirements
Retailer/Wholesaler Requirements
Consumer Requirements
via manufacturing planning and purchasing
to manufacturers suppliers
through manufacturing
and distribution
to retailers/wholesalers
and end consumers
from product development/ design
raw material
finished goods
finished goods
finished goods
work in progress
finished goods
replenish-ment orders
sub and final assembly orders
replenish- ment orders
production orders
point of sale
develop- ment orders
procure-ment orders
planning orders
factory orders
retailer orders
mfr.
retailer
consumer
Retailer Forecast
Manufacturer Forecast
3
Industry Supply Chain Issues Out of Stocks
Translate into 3.1 Loss in Sales to Retailer
This does not take into account other intended
purchases lost at time of the visit
Source Retailer Operating Data, Prism Partner
Store Audits, Coca Cola Retail Council
Independent Study, 1996
4
Industry Supply Chain Issues Out-of-Stocks
result in 4-5 Loss in Sales to Manufacturer
8.2
6.5
1.5
This does not take into account other intended
purchases lost at time of the visit
5.0
Source Retailer Operating Data, Prism Partner
Store Audits, Coca Cola Retail Council
Independent Study, 1996
5
Industry Supply Chain Issues
  • Manufacturer and retailer forecasts are not
    integrated
  • Sales history used as a predictor for future
    demand.
  • Forecast do not include future planning and set
    programs.
  • Manufacturers are not building to
    retailer/consumer demand.
  • Forecasting of promotional, seasonal, and new
    item remain a critical issue.
  • Collaboration occurs most often after the initial
    order is placed
  • Category Buyer, Replenishment Buyer, and Forecast
    Analyst at retailer do not communicate all
    forecasting factors to each other.
  • Reengineering to category intra teams needed to
    be effective
  • Marketing, Sales, and Production Planners at
    Manufacturer do not communicate all forecasting
    factors to each other.
  • In VMI/CRP relationships focus is on the DC
    instock versus store instock where true consumer
    demand is.

6
Industry Supply Chain Issues Forecasting a
key Cause of Out of Stocks on Warehouse
Supplied Items
Store Personnel Unaware of Current/Potential OOS
Condition - Did Not Order Item
Replenishment From Warehouse
Backroom/Display Inventory Not Restocked To Shelf
Shelf Capacity Inadequate
Promotion Forecasting and Ordering
Source Retailer Operating Data, Prism Partner
Store Audits, Coca Cola Retail Council
Independent Study, 1996
7
Collaborative Planning, Forecasting and
Replenishment Initiative
  • Historical Background
  • Origin in late 96 under Dynamic Information
    Sharing subcommittee of Merchants Issues Group of
    VICS, using results from an earlier manual effort
    under the CFAR name
  • The Wal-Mart/Lucent/Sara Lee prototype
    demonstrated a model for systematic collaboration
    in the forecasting process
  • Formalization and publication of the process
    models and the technology framework completed in
    Jan 1998
  • Pilots support DISs mission - to improve
    partnership between retailers and suppliers
    through shared information
  • Pilots demonstrate process viability, technology
    viability and business case for enhanced
    information sharing

8
Goals and Objectives
  • Overall Goal
  • Design, prototype, pilot and implement processes
    and systems for collaborative forecasting
  • Objectives
  • Support the definition of process models for
    sales and order forecasting
  • Design the application, data and communication
    architecture for collaborative forecasting
    processes
  • Construct and test the applications for
    collaborative forecasting
  • Integrate the collaborative applications with
    backend forecasting and replenishment systems

9
CPFR Initiative Participants
Apparel Group Benchmarking Partners Inc. Corning
Consumer Products DAMA Project Ernst Young
LLP Federated Department Stores Fieldcrest
Cannon Goodys Family Clothing Hewlett Packard JC
Penney Johnson Johnson Kimberly-Clark Kmart Levi
Strauss Co. Lucent Technologies
May Department Stores Mead School
Office Nabisco Nestle-Canada Pillsbury Procter
Gamble QRS Sara Lee Schnucks Spiegel Staples Unifo
rm Code Council Wal-Mart Warner-Lambert
10
Forecasting and Replenishment ProcessCurrent
State
RETAILER
Retailer POS Data
Create item-level forecast and special event
calendar (e.g..., promotions, store openings,
item distribution)
Market/item knowledge, store planning, item
planning by individual stores
Collect POS Data and other supporting information
Create purchase orders for items
No
Yes
MANUFACTURER
Marketing Programs and Promotional developed with
Input from Sales/Marketing (e.g..., pricing, item
additions/deletions) and market/customer knowledge
11
Collaborative Planning, Forecasting, and
ReplenishmentFuture State Process Overview
YES
Exception analysis process
Order Forecast
Retailer Manufacturer generate forecast
special event calendar at item level, and
maintain it on the Internet
Request and Retrieval of event calendar and/or
detail information
YES
NO
12
Industry Opportunities
  • Meeting Consumer Expectations
  • Items being in stock ranks high in consumer
    shopping criteria
  • 10-30 of consumers lost annually through
    dissatisfaction
  • 84 rank having product and sales items in stock
    as important
  • Issue with wrong product in wrong place
    (store) at the wrong time (season)
  • Retail Customer Service
  • Best in class 90-92 in-stock levels
  • Opportunity to close this 8-10 gap
  • Category Management collaboration
  • Store unique assortments based on demographic and
    household panel data, and climate related impacts
    (i.e. weather)

Progressive Grocer Consumer Survey April 1996
13
Industry Supply ChainCost Reduction Opportunity
  • Total supply chain costs estimated at 730
    Billion
  • Majority of costs reside in Inventory and
    Operating Costs
  • Inventory investment usually comprises the
    largest single asset of a manufacturing company.
    The number is usually 27 of the total assets of
    a company. Retailer inventory investment averages
    41

6th Annual State of Logistics Report May 1994
14
Collaborative Forecasting Opportunity
  • Business Case for Collaboration

In
Stock Fill Rate
Highly Collaborative
97.0 98.9
Somewhat Collaborative
94.7 87.9
Non- Collaborative
84.4 77.3

Data captured from a retailer database and
set of 20 manufacturers
15
Collaborative Planning, Forecasting, and
Replenishment
  • How is this different from Continuous
    Replenishment?
  • Key difference is systematic collaboration
  • Use of a combination of non-proprietary vehicles
    including the Internet to share information
  • Focus on integration of business processes
    between retailer and manufacturer
  • Retailer and manufacturer share a broader set of
    information dynamically
  • Coordinated collaboration from planning and
    forecasting through entire execution.

16
Collaborative Planning, Forecasting, and
Replenishment
  • Benefits
  • Consumer satisfaction
  • Reduced prices inventory in stock
  • Improved customer service and ROI
  • Increased sales
  • Decrease in Cost of Goods Sold
  • Decrease in Selling, General, Administrative
    Costs
  • Increased turns
  • Improved cash flow
  • Reduced Inventories
  • Increased store level customer service
  • Increased asset utilization

17
Collaborative Planning, Forecasting, and
Replenishment
  • Benefits
  • Consolidated/Improved supply chains
  • Demand allocated against total supply chain
    capability
  • Order Forecasting and plan development
  • Pre-notification and resolution of fill-rate
    issues
  • Decreased cycle times
  • Reduced forecast error
  • Long Term Planning and commitment to forecast
  • Consumer satisfaction through reduced out of
    stocks
  • Increased promotion effectiveness as result of
    reduced out of stocks
  • Increase in consumer marketing effectiveness
  • Business growth and relationship development
    through next level of customer partnering

18
Framework For Success
  • Empowerment
  • Shared Accountability
  • Shared Responsibility
  • Collaborative Communication
  • Open System
  • Internet
  • Application Development Methods
  • Secure Communication
  • Working to a Single Forecast
  • Common Measures
  • Planning
  • Information Sharing

19
Collaborative Planning, Forecasting,
Replenishment The Collaborative Process
Joint Business Planning
Retailer
Manufacturer
Generate joint forecast
Generate joint forecast
Common Event Calendar
Drive MRP
Drive replenishment
  • Retailer Forecast Drivers
  • In stock position
  • Fill Rate
  • Consumer Demand
  • Price Changes
  • Growth Plans
  • Distribution Channels
  • Manufacturer Forecast Drivers
  • Capacity
  • Order Lead time
  • Consumer Behaviour
  • Product Availability
  • Promotions
  • Raw material supply

Joint Forecast
20
Collaborative Planning, Forecasting,
Replenishment End-to-End Integration
Standard non-exceptional data
Exceptional data
Manfacturer Systems MRP, Decision Support
Internet
21
Collaborative Planning, Forecasting and
Replenishment
  • Prototype Deliverables - April 97
  • Completed prototype
  • Demonstration of prototype at IQ 97
  • Process Model for Sales Forecasting
  • Refer to website www.cpfr.org

22
Collaborative Planning, Forecasting and
Replenishment
Prototype Architecture
Sun Ultra
Netscape LiveWire Informix 7.2
EnterpriseServer 3.0
Netscape/Explorer
HTTP
Server
Client
23
Collaborative Planning, Forecasting and
Replenishment
  • Prototype Process/Functionality
  • Authenticates users
  • Stores exceptions data
  • Allows selective retrieval of data
  • Displays time-variant data such as supplier
    forecast, retailer forecast, POS for 52 weeks
  • Displays detail time-invariant data such as
    On-hand, Fill-rate, store information etc for a
    specific forecast
  • Displays information in both tabular and
    graphical form
  • Displays calendar of events for both sides, for
    each item

24
Collaborative Planning, Forecasting and
Replenishment
  • Prototype Process/Functionality - continued
  • Shows how a level 1 (corporate) forecast can be
    drilled down to DC and store levels
  • Shows how a forecast update can take place
    interactively
  • Shows how messages associated with an exception
    can be created, stored and sent.

25
The Evolution of EDI
  • Data Content, Formats
  • Communication (Transport)
  • Security
  • FACTOR CURRENT STATE EC/EDI TRENDS
  • Standards X.12, EDIFACT Internet Overlays
  • Bysync/Async HTTP, S/MIME, FTP
  • Mapping Labor intensive Automated, Transparent
  • Translation Static Dynamic
  • Transport VANs Internet, Extranet
  • Interfaces Complex Simple, Open, Intuitive
  • Business Boundaries Rigid Virtual
  • User Access Proprietary Standard, Ubiquitous
    (web)
  • Messages Data Objects

26
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27
CPFR Technology Architecture Peer to Peer
Scenario
Workstation Manufacturer
Retailer Workstation
SMTP S/MIME, SIL
CPFR Server www.supplier.cpfr.com
CPFR Server www.retailer.cpfr.com
28
Next Steps for CPFR and the industry
  • Refinement and publication of process models
  • Define/establish prerequisite EDI feeds if
    non-existent
  • Define/establish other feeds (manual initially) -
    forecast drivers (promotions, price changes,
    replenishment strategies etc)
  • Define/establish business rules for exception
    generation
  • Develop exception processes based on forecast
    comparisons
  • Define/establish procedures for use of CPFR
    system
  • Develop measurements/business cases
  • Refine technology infrastructure
  • Introduce security - S/HTTP and/or S/MIME
  • Investigate use of open data model

29
Collaborative Planning, Forecasting and
Replenishment
  • Challenges
  • Organizational readiness
  • Process confirmation
  • Integration of supply chain collaboration tools
    with backend applications
  • data models
  • architecture (hub-hub, hub-spoke, hub-web)
  • Change management

30
Collaborative Planning, Forecasting, and
Replenishment
  • The CPFR initiative provides the means (through
    standard process models) for the growth and
    evolution of tools starting to appear in the
    marketplace that address inter-enterprise
    collaboration.

31
Capabilities Assessment
  • Process Readiness
  • Forecasting and Replenishment
  • Scorecard Solution
  • Change Management
  • Inter Intra organization communication channel
    readiness
  • Technology Readiness
  • Data availability
  • Internet Enablement
  • Electronic Commerce

32
Collaborative Planning, Forecasting, and
Replenishment
  • Collaboration can produce results!!!
  • In a manual pilot between WalMart Warner
    Lambert, the two companies eliminated a full 2
    weeks of inventory from the supply chain for a
    test product, Listerine. They also halved the
    order cycle and eliminated out of stocks.
  • Sharing
    IS Secrets, Julia King, Computerworld 9/23/96
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