Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani &...

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Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student) & Vivek Dubey (PhD student) Center for Retailing Excellence University of Wisconsin-Madison www.retailingexcellence.wisc.edu January 24, 2012

Transcript of Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani &...

Page 1: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Strategic Implications and Business Case for

Warehouse AutomationProfessor Raj Veeramani & Professor Ananth

KrishnamurthyTugce Martagan (PhD student) & Vivek Dubey (PhD

student)Center for Retailing Excellence

University of Wisconsin-Madisonwww.retailingexcellence.wisc.edu

January 24, 2012

Page 2: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

University of Wisconsin’s

Center for Retailing Excellence

Corporate Partners

To accelerate innovation and to collectively explore the future vision of retailing.

Page 3: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Three key questions1. Why is there growing interest in

warehouse/DC automation?

– Should your company care?

2. How can you systematically evaluate the business impact of automation?

– Understanding benefits and broader implications

3. How do you determine what is strategically “best” for your company?

– Alignment with business strategy

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Agenda

Business case &

strategic implication

s

Industry drivers &

trends

Analysis framewor

k

Page 5: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Industry Drivers & Trends

Business Complexit

y

Workforce

Customer

Technology

Page 6: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

• Aging DC workforce

• Labor turnover

• Difficulty in attracting replacement

• Labor costs are significant and continuing to rise

Industry Drivers & Trends

Business Complexit

y

Workforce

Customer

Technology

Page 7: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

• Increasing product variety and SKU proliferation

• The end of cheap oil

• Sustainability / Carbon footprint

• Food safety and traceability

Industry Drivers & Trends

Business Complexit

y

Workforce

Customer

Technology

Page 8: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

• Product availability / Service level expectations are growing

• Smart phones and mobile devices are transforming customer behavior

• Aging customer demographic

Business Complexit

y

Workforce

Customer

Technology

Industry Drivers & Trends

Page 9: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

• Information visibility is enabling real-time demand-driven supply chain

• Warehouse/DC automation systems

Industry Drivers & Trends

Business Complexit

y

Workforce

Customer

Technology

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Implications from Supply Chain perspective

• Will your current distribution network and operations strategy serve you well in the future?–Or will it prove to be your Achilles

heel?

• Can warehouse/DC automation be a source of competitive advantage?

Page 11: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Business Complexit

y

Workforce

Customer

Technology

• DC labor shortage and high labor costs

• More SKUs, more complex DC operations

• Reduce out-of-stock at stores

• Reduce carbon footprint and energy costs

• Increasing transportation costs

BUSINESS CHALLENGES

Can DCautomationhelpaddressthesechallenges?

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DC automation is not new– But it has evolved considerably in recent years

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Evolution of Automated Systems

1970s1980s1990s2000s

• Automatic carton selection system• Order selection system for individual items

• Cart systems (train) / AGV• Conveyorized / Pick to belt systems

• Various forms of AS/RS systems

• Automated systems across all categories including Dry Grocery, the Dairy/Deli refrigerated cooler, the Produce rooms, the Fresh Meat room and the Freezer.

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• Beumer• Daifuku• Dematic• Fives Group• Flexlink • Intelligrated• Interlake Mecalux• Kardex Remstar• Knapp Logistik

• Legris Industries

• Murata Machinery

• Schaefer Holding Intl.

• Swisslog

• Vanderlande

• Viastore Systems

• Witron

• Wynright

Material handling automation vendors

… and many more

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Example installations of warehouse automation in N. America

• Associated Food Stores• C&S Wholesale• Fareway Stores• H.E.B.• Kroger• Publix Super Markets• Sobey’s (Canada)• Stop and Shop• SuperValu• Target• Walmart• Wegman’s Food Markets

… and many more installations in Europe

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Assessing the potential business impact of DC automation is not trivial– Requires a systematic and comprehensive analysis framework

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Agenda

Business case &

strategic implication

s

Industry drivers &

trends

Analysis framewor

k

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How Much Automation is Necessary?

Technology ChoicesManual Fully-Automated

Fast Movers, Sale items

Regular SKUs

Slow movers

Piece packs

Frozen

Pharmacy

Bulky, “Uglies”

Mini-Load

Conveyor

Systems

AS/RS

Shuttle

Depalletizer

GantrySystem

s

Hi-BayWarehous

e

Many choices and degrees of automation exist

Page 19: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Framework for Justifying Automation

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Outbound Transportation Cost

Inbound Transportation Cost

Impact of Fuel Prices

Inventory Costs

Labor Costs

Cross Docking Costs

One time Investment and Re-allocation

CostsDC Damage Costs

Delivery Frequency, Fleet and Truck

Utilization

Store Labor CostsStore Damage

CostsOut of Stock

Costs Store Level

Supply Chain Level

Distribution Center Level

Modeling Framework to Build the Case for Automation

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Impact on Outbound Transportation

• Increased transportation costs?• Less cross docking?• Lower routing efficiencies?• Lower truck utilizations?• Impact on delivery frequencies?

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Models for Outbound Transportation

Outbound Transportation

Cost

Distance from DC to StoresDelivery

Schedule to Stores

Transportation Cost Per Mile

Routing Efficiency

Total Distance Travelled

Deliveries per Year

Outbound Truck Utilization

Total Outbound Costs

Outbound Transportation

Routes

Location of the Stores, DCs

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Impact on Inbound Transportation

• Reduced transportation costs?• Increased truck utilizations?• Less cross docking?• Increased backhaul costs?• Impact on delivery frequencies?

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Models for Inbound Transportation

InboundTransportation

Cost

Distance from Suppliers to

DCs

Delivery Frequency from

all SuppliersTransportation Cost Per Mile

Routing Efficiency

Total Distance Travelled

Deliveries per Year

Truck UtilizationTotal Outbound

Costs

Location of the Suppliers, DCs

Inbound Transportation

Routes

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Effect on Truck Utilization: Round-ups

Round-up Demand

Round-upDemand

Week 1 North DC

Week 1 South DC

Week 2 North DC

Week 2 South DC

Round-upDemandRound-upDemand

Week 1 Central DC Week 2 Central DC

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Models for Cross Docking Costs

Cross Docking Costs

Transportation Costs per Mile

Cross Docking Cost per Pallet

SKUs and Pallets per being Cross

Docked

Labor Costs of Cross Docking

Labor Requirements

Transportation Costs of Cross

Docking

Location of the DCs

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What is the Impact of Fuel Price?

• Inbound Transportation

• Outbound Transportation

• Backhauls• Cross docking

costs• Routing

Efficiencies $3/mile $4/mile $5/mile

Page 27: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Framework for Justifying Automation

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Outbound Transportation Cost

Inbound Transportation Cost

Impact of Fuel Prices

Inventory Costs

Labor Costs

Cross Docking Costs

One time Investment and Re-allocation

CostsDC Damage Costs

Delivery Frequency, Fleet and Truck

Utilization

Store Labor CostsStore Damage

CostsOut of Stock

Costs Store Level

Supply Chain Level

Distribution Center Level

Modeling Framework to Build the Case for Automation

Page 28: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Impact on Inventory: Consolidate at Existing Locations

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Dry Frozen Produce

HBC Pharmacy GM

Dry Frozen Produce

HBC Pharmacy GM

HBC Pharmacy GM

Dry Frozen Produce

• Less safety stock, round up inventory, out of stock• Lower supply chain risk• Transportation costs (higher or lower?)• Increased cross docking

Page 29: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Impact on Inventory: Partially Consolidate at Existing Locations

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Dry Frozen Produce

HBC Pharmacy GM

Dry Frozen Produce

HBC Pharmacy GM

• Slightly less safety stock, round up inventory, out of stock

• Reduced supply chain risk• Transportation costs (higher or lower?)• Increased cross docking

Dry Frozen Produce

HBC Pharmacy

Dry Produce

GM

Page 30: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Time

Invento

ry L

evel

Ideal Inventory: Order only to Meet the Demands

Min

imum

Ord

er

Quanti

ty

Safety Stock

Inventory Needed for Demands

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Time

Actual Inventory: Orders Inflated due to Various Constraints

Invento

ry

Level

Inventory Due to Round Up,

Supplier Constraints, Truck Filling Constraints

Retailers often order sooner and more than needed

Safety Stock

Inventory Needed for Demands

Page 32: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Impact on Inventory: Consolidate at Central Location

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• Less safety stock, round up inventory, out of stock• Higher supply chain risk• Transportation costs (higher or lower?)• Reduced cross docking

Dry Frozen Produce

HBC Pharmacy GM

Dry Frozen Produce

HBC Pharmacy GM

Dry Frozen Produce

HBC Pharmacy GM

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Duplication of Inventory at Each Location

Dry Frozen Produce

HBC Pharmacy GM

Dry Frozen Produce

HBC Pharmacy GM

Inventory Due to

Round Up

Safety Stock

Inventory for Demands

Inventory Due to

Round Up

Safety Stock

Inventory for Demands

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Savings in Inventory due to Consolidation

Inventory Due to

Round Up

Safety Stock

Inventory for Demands

Inventory for Demands

Inventory Due to

Round Up

Safety Stock

Inventory for Demands

Inventory Due to

Round Up

Safety Stock

Inventory for Demands

Dry Frozen Produce

HBC Pharmacy GM

Page 35: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Models for Inventory Costs

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Inventory Cost

Delivery Frequency for each Suppliers

Minimum Order Quantities, Supplier

Constraints

Safety Stocks

Stock out Reduction

Extra Inventory due to Supplier

Constraints

Inventory needed for Demands

SKU Demands at Each Stores

Stock outs, Service Levels

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Framework for Justifying Automation

Outbound Transportation Cost

Inbound Transportation Cost

Impact of Fuel Prices

Inventory Costs

Labor Costs

Cross Docking Costs

One time Investment and Re-allocation

CostsDC Damage Costs

Delivery Frequency, Fleet and Truck

Utilization

Store Labor CostsStore Damage

CostsOut of Stock

Costs Store Level

Supply Chain Level

Distribution Center Level

Modeling Framework to Build the Case for Automation

Page 37: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Impact of Automation on Labor Costs

• Automation could significantly reduce labor needs at the DC

• Fewer but more skilled labor needed at the DC

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Verification

MaintenanceSupervision

Shipping

Picking

Replenishment

Receiving

Maintenance and Supervision

Shipping, Verification

Receiving, Replenishment,

Picking

Manual DC Automated DC

Page 38: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Models for Labor Costs

Inventory Cost

Picking and Replenishment:

pallets per day, SKUs

Maintenance, Supervision, Verification:

Staffing per shift, dock door

Staffing per shift

Labor cost per case

Total Labor Costs

Staffing level in each category

Receiving and Shipping: Trucks per day, pallets

per truck, SKUs

Labor categories, Labor cost per hour,Fringe and benefits

Page 39: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Framework for Justifying Automation

Outbound Transportation Cost

Inbound Transportation Cost

Impact of Fuel Prices

Inventory Costs

Labor Costs

Cross Docking Costs

One time Investment and Re-allocation

CostsDC Damage Costs

Delivery Frequency, Fleet and Truck

Utilization

Store Labor CostsStore Damage

CostsOut of Stock

Costs Store Level

Supply Chain Level

Distribution Center Level

Modeling Framework to Build the Case for Automation

Page 40: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Put away at Store: Conventional Pallet PALLET

Backroom

Stocking

Facing

Breakdown

Staging

Unloading

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Zoomed View: Flow Diagram for Eight Observed

PalletsPallet

Significant back and forth travel to put away items in each aisle

Page 42: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Impact of Automation on Store Operations

• Store Operations due to Manual Operations at DC– Significant labor and time involved in pallet breakdown– Inefficiencies in material handling

• Re-piling and re-arranging cases in order to transport them to the aisles

• Excessive number of trips between staging area and the aisles • Reduced employee efficiency and productivity

– Damage and out of stock• Increased chance of damage due to inefficient pallet design

(heavy cases placed on the top of fragile ones)

• Store Friendly Pallets Due to Automation at DC– Significant reduction in labor and time– Improved material handling efficiencies– Less damage and out of stock at stores

Page 43: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Put away at Store: Store Friendly Pallet

Backroom

PALLET

Page 44: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Models for Store Operations

Store Friendly Pallets

Store Layout

SKU profile and Demands for

SKUsPallets per delivery

Labor SavingsReduced Damage

Fewer Touches

Reduced Stock outs

Material Handling Costs

Deliveries per week

Labor Costs and Staffing Level

Page 45: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Framework for Justifying Automation

Outbound Transportation Cost

Inbound Transportation Cost

Impact of Fuel Prices

Inventory Costs

Labor Costs

Cross Docking Costs

One time Investment Costs

One time Re-allocation Costs

Delivery Frequency, Fleet and Truck

Utilization

Store Labor CostsStore Damage

CostsOut of Stock

Costs Store Level

Supply Chain Level

Distribution Center Level

Modeling Framework to Build the Case for Automation

Page 46: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

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Agenda

Business case &

strategic implication

s

Industry drivers &

trends

Analysis framewor

k

Page 47: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

• DC automation will impact not just your DC operations, but also your upstream (supplier) and downstream (stores).

– DC automation should therefore be viewed in the context of a comprehensive supply chain integration/optimization initiative

• Is the current distribution network optimized?

• Is the SKU allocation to DCs optimal?

Key Take-Away #1

Decision to automate DC operations must be

well-aligned with overall business strategy

Page 48: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Key-Takeaway #2

Marketing Supply Chain Mgt.Goal: Increase sales Goal: Reduce costs

Instead both should focus on the common goal of fulfilling the customer value proposition• Large product variety, high quality, low

price, guaranteed product availability, superior serviceDC Automation can be a key enabler for this

Page 49: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

Key-Takeaway #3Outbound

Transportation

Inbound Transportati

on

Inventory savings

Cross Docking

Delivery Frequency, Fleet

Utilization

Costs Benefits

One time Re-allocation

Costs

One time Investment

Costs

Labor Savings – DC and Stores

Damage reduction

Higher truck utilization

Stock-out reduction

A comprehensiveanalysis frameworkis needed

Page 50: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

• Automation systems are unforgiving! • Product suppliers/manufacturers and

distributors/retailers need to be partners

– Packaging: Cases need to be sturdy enough for automated handling

– Data synchronization: Data provided by supplier regarding dimensions and weight of product need to be accurate for every SKU.

Key Take-Away #4

When it comes to automation, small things can make a big difference

Page 51: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

The Bottom Line

Business Complexit

y

Workforce

Customer

Technology

• DC labor shortage and high labor costs

• More SKUs, more complex DC operations

• Reduce out-of-stock at stores

• Reduce carbon footprint and energy costs

• Increasing transportation costs

BUSINESS CHALLENGES

Can DCautomationhelpaddressthesechallenges?

Yes!!

Page 52: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

The Bottom Line

Business Complexi

ty

Workforce

Customer

Technology

• DC labor shortage and high labor costs

• More SKUs, more complex DC operations

• Reduce out-of-stock at stores

• Reduce carbon footprint and energy costs

• Increasing transportation costs

BUSINESS CHALLENGES • Automated DCs require considerably less people to operate

• Can efficiently handle fast-moving (pallet loads) and slow-moving SKUs (layers), requiring less inventory

• Provides higher storage density

• Can pick, pack and ship product more quickly and accurately, and less damage

• Higher throughput through DC enables more store order fulfillment

• Demand visibility allows for efficient staging of orders and timely fulfillment

• Higher truck cube utilization is possible

• Pallets delivered in right sequence to loading docks – Minimizes loading time.

• C-footprint reduction due to less forklifts, lighting in storage areas, HVAC, etc.

Impact of Automation

Page 53: Strategic Implications and Business Case for Warehouse Automation 1 Professor Raj Veeramani & Professor Ananth Krishnamurthy Tugce Martagan (PhD student)

For additional information, please contact

Dr. Raj Veeramani Dr. Ananth [email protected] [email protected] 608-262-0861 608-890-2236