Presented By Mohnish Singh 29NMP46 Neerja Malik 29NMP47 Harshwardhan 29NMP48 Sanjay Yadav 29NMP50 Jayakumar S 29NMP94 PROCTOR & GAMBLE: USING AGENT BASED MODELLING & RFID
Presented ByMohnish Singh 29NMP46Neerja Malik 29NMP47Harshwardhan 29NMP48Sanjay Yadav 29NMP50Jayakumar S 29NMP94
PROCTOR & GAMBLE: USING AGENT BASED MODELLING & RFID
ABOUT P&G
•Procter & Gamble Co., also known as P&G, is an American multinational consumer goods company
•Headquartered in downtown Cincinnati, Ohio, United States
•Established in 1837 : Made Soap and Candles•Today P&G is recognised leader in development, distribution and
marketing of FMCG
•300 brands 5billion consumers 160 countries•102000 strong work force in more than 80 countries work every
day to provide products of superior quality and value to the customers worldwide.
P&G AND THE SUPPLY CHAIN INNOVATION
•From supply chain to supply network•50% reduction in cycle time and inventory•$300M savings by investing 1%
•Optimised supply chain operations•Improving the Dock Loading Throughput
•From product innovation to supply chain innovation
HOW DID THEY DO THAT???
HOW DID THEY DO THAT???
ITS ALL ABOUT LOGISTICS..........
•Visibility of information•Agent based modelling of complex adaptive systems
•RFID
•Eliminating human errors•Reengineering and automating site business processes•Real time recovery of items and insurance claims
•Vendor managed inventory•The “offensive terminal point”•No “one size fits all”
AGENT BASED MODELLING • Supply chain at P&G is not actually a chain, it
is a supply network.• Such complex networks has multiple
interactions betwen its elements.• Understanding how overall system reacts to
changes in certain parameters is important.
SUPPLY CHAIN SUPPLY NETWORK
Agent Based Modelling
• Software Simulation Model by Nutech• Software agents represent the individual component
of system- plant, stores, etc.• Behaviour of each agent is programmed via rules that
mimic actual behaviour.• Rules were varied during simulations based on
following policies:Plant shipping and store DC order policiesStore DC allocation policiesLead time between Plant and store DC, Store DC and stores.
Plant
Store Dist.Centre
Store HQ
Store
Model components
AGENT BASED MODEL
• Model used Actual customer demand profiles to determine
daily sales.Actual promotion frequency with associated
increase in demand at stores for each item.• Supply chain efficiency was gauged by:
Amt. of inventory need to be carried by a store to avoid stock out
Daily plant shipping variability
WHAT IF ANALYSIS
• What if analysis were conducted to test impact of new logistic rules on 3 metrics:– Inventory levels– Transportation costs– In-store stock-outs
• Effects of demand spikes, promotional events were also simulated.
• Useful changes were noted & implemented.
TOWARDS A ‘RESPONSIVE’ SUPPLY CHAIN
Product Innovation to Supply Chain Innovation
• P&G used to be a mass marketer .• Mass marketers understand the market segments.• These segments were defined by demographics and
psychographics .• They adapt/differentiate their products to fit these
markets.• Supply chain is then organized based on the product
and the segment it serves.• Here, Product Innovation drives the Supply Chain
Innovation.
DOCK LOADING THROUGHPUT- OPPORTUNITIES
•Bottlenecks at the Loading Docks.•No space on the Dock for stacking pallets to be shipped.•Production Stop .•waste of time and Productivity.•Moving the pallet twice.•Productivity and profit declines
•Chaotic Business Processes.•Prone to human Error
AIT
AIT-Automatic Identification Technology
Modification of Data
Security of Data
Amount of Data
Cost
Standards
Life Span
Reading Distance
Potential Interference
CRITERIA
Source: Supply Chain Management Study Material
BENEFITS FROM RFID
• Increase the speed of Loading• Loading time reduction by 40%• Better utilization of Space and Personnel• Avoiding the costly Mistakes of loading• Fewer insurance Claims• Fewer out of stock• Increased Product visibility • Increased responsiveness
EFFICIENT SUPPLY CHAIN
RFID CLIP
RENDEZVOUS WITH WALMART• SCM of P&G underwent a new change due to its
interaction with Wal-Mart.• Earlier P&G used to have arms length relationship with
Wal-Mart.• Focus shifted to– Inter company supply chains– Vendor managed inventory
• Wal-Mart's profits increased due to optimum inventory management support.
• P&G became favoured supplier.
CHANGED STRATEGY FOR OTHER ACCOUNTS
• P&G changed its strategy for its small accounts.
• It realized that “one size fits all” approach is not appropriate.
• While it continued its product innovation, P&G made another supply chain innovation.
OFFENSIVE TERMINAL POINT
• Narrower the front, Deeper you can penetrate the battlefield.
• P&G’s customer engagement front was very broad.
• Hence, its offensive terminal point i.e. Its inter-company supply chain ,was shallow.
• It decided to develop deep offensive terminal point with Big customers.
NEW STRATEGYWal-Mart• Inter
company Supply chain processes
Medium Accounts
Arms length relationship
Small AccountsNo direct
relation.Relation
through Master distributors
It is this process of choosing and managing the development of different relationships with different customers that characterizes the Age of Precision Markets
PRODUCT INNOVATION TO SUPPLY CHAIN INNOVATION
PUSH SUPPLY CHAIN
REPLENISHMENT CYCLEMANUFACTURING CYCLE
PROCUREMENT CYCLECustomer Order
Cycle
PUSH/PULL BOUNDARY
THE IMPACT
REPLENISHMENT CYCLE MANUFACTURING CYCLE
IMPACT
“Re-stock every 24 HRS”• Relaxation of rigid rules• Flexibility and adaptability• Reduced Order cycle time• Reduced Inventory
• Reduced in store stock-out• Culture
• “Every product Every day”• Re-tooling the manufacturing
• Short Runs
LOGISTICS RELATINSHIPSLo
gisti
cs C
ost
Improved Transportation service
COLS
TRTC
Inve
ntor
y
Order Cycle Time
IMPROVEMENT
IMPROVEMENTIMPACT
OPTIMUM
50% Inventory
50%
Cycle Time
STRATEGIC FIT
EFFICIENCY FRONTIER
RESP
ON
SIVE
NES
S
EFFICIENCY
THANK YOU!