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Introduction Contribution Of This Research Summary The Impact of Item-level RFID on Product Availability in The Retail Supply Chain Gary M. Gaukler Department of Industrial and Systems Engineering, Texas A&M University INFORMS Seattle 2007 Gary M. Gaukler Impact of Item-level RFID on Retail
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Page 1: The Impact of Item-level RFID on Product Availability in The ...

IntroductionContribution Of This Research

Summary

The Impact of Item-level RFID on ProductAvailability in The Retail Supply Chain

Gary M. Gaukler

Department of Industrial and Systems Engineering, Texas A&M University

INFORMS Seattle 2007

Gary M. Gaukler Impact of Item-level RFID on Retail

Page 2: The Impact of Item-level RFID on Product Availability in The ...

IntroductionContribution Of This Research

Summary

Outline

1 IntroductionItem-level RFID in SCMPrevious Research

2 Contribution Of This ResearchModel DescriptionResearch QuestionsResults

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Item-level RFIDPrevious Research

Current Applications of RFID in SCM

Areas of implementation:

TransportationLogisticsWarehousing

Focus of improvements:

EfficiencyInventory record accuracy

Usually using RFID on case- and pallet level

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Item-level RFIDPrevious Research

Item-level RFID Will Become More Prevalent As RFID TagCost Decreases

Compare RFID tag prices (UHF passive)

4 years ago: $0.50Now: $0.15

Crucial to understand potential benefits of item-level RFIDMajor potential benefit: Retail operations

Preventing out-of-stock situations at the shelf (OOS)

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Item-level RFIDPrevious Research

Focal Points Of This Research

Retail supply chain - 1 manufacturer, 1 retailerLost salesItem-level RFIDModeling benefits from item-level RFID:

Improved in-store shelf replenishmentFewer out-of-stock situationsMore accurate demand forecasts

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Item-level RFIDPrevious Research

Previous RFID Research

Inventory accuracy:

Heese (2007)Atali, Lee and Ozer (2007)Kang and Gershwin (2005)

Inventory control policies:

Gaukler, Ozer and Hausman (2007)

Retail:

Wong and McFarlane (2003)Karkkainen (2003)Gaukler, Seifert and Hausman (2007)

This is just a small selection. For a more comprehensive overview,see Lee and Ozer, 2007.

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Item-level RFIDPrevious Research

Previous RFID Research

This research is closest to Gaukler, Seifert and Hausman (POM16(1), 2007).

GSH 2007:

Single period modelNo demand forecastupdatesImpact of RFID:

fewer OOS

This research:

Multi-period modelDemand forecasting basedon past salesImpact of RFID:

fewer OOSbetter demandforecasting

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Backroom Vs. Shelf Stock

Manufacturer Retailerorder

deliver

Backroomstock

Shelf stock

replenish

RFID RFID

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Customer Demand At The Shelf

Customer demand arrives according to Poisson processEvery demand arrival may see a shelf that is stocked, or emptyIdea: Remove those demands from the stream that correspondto an avoidable lost sale

Avoidable lost sale: the shelf is empty, but the backroom is notEffective demand = original demand less avoidable lost sales

Define 0≤ θ ≤ 1: probability that incoming demand sees anon-empty shelf, given ample backroom stock

θ determined by effectiveness of backroom-to-shelf process,misplacements, ...θ = 1: lost sales only occur if backroom stock exhausted

Effective demand can be approximated by a central limittheorem and expressed as a normal distribution N(θ µ,

√θσ)

(see GSH 2007)RFID: θR ; non-RFID: θN ≤ θR

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Timeline Of Events

In each period, the timing of events is as follows:

1 Retailer establishes demand forecast Di based on Di−1 andprevious sales

2 Retailer calculates backroom stocking level Si and ordersquantity [Si −onhand inventory]+ from outside supplier.Product arrives instantaneously.

3 Real demand over the demand period is D and effectivedemand at retailer’s shelf over the demand period is Dθ

4 Retailer sells Vi over the whole demand period5 Retailer calculates profit for demand period i

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Demand Forecasting

Demand forecasting done by one of three methods:

Standard one-equation exponential smoothingExponential smoothing with adjustment for censored demanddistributions (Nahmias 1994)Perfect forecasting: forecast = real demand (Benchmark)

Nahmias (1994) bases forecasts only on those salesobservations that are not censored by the available inventory,i.e. sales less than Si .

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Inventory Policy

Periodic-review order-up to policy (for backroom stock)One-period profit function for period i :

πi = (r − c− t)E [Vi ]−h(Si −E [Vi ]) (1)

where E [Vi ] =∫ Six=0 xf θ (x)dx +

∫∞

x=SiSi f θ (x)dx

If retailer knew demands in each period:

Optimal order-up to level: S∗ = Si = θ µ +√

θσz , for all i ,where z is defined as Φ(z) = r−c−t

r+h−c−t

But in our model retailer forecasts demand:

Plausible order-up to levels: Si = θ µi +√

θσiz , where z asaboveOrder-up to level dependent on retailer’s demand estimate

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Effects Of RFID in This Model

Effects of RFID:

Direct effect:

“Shelf RFID”Sales of product increasedue to fewer OOS

Indirect effect:

“Backroom+Shelf RFID”Changes to backroomstocking levels

Indirect effects are driven by updated demand forecasts

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Research Questions

1 What is the relative magnitude of direct vs. indirect effects?2 What kinds of products are most conducive to attain benefits

under RFID?

High-margin?High-variability?

3 What are tag cost levels that allow for a profitable item-levelRFID implementation?

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Profit Improvement Vs. Tag Cost

Figure: Profit Improvement vs Tag CostBackroom+Shelf RFID: Profit Improvement vs.

Tag Cost

-8.00%

-4.00%

0.00%

4.00%

8.00%

$0.00 $0.01 $0.02 $0.05 $0.10 $0.20 $0.30 $0.50

Tag Cost [$]

Perfect Forecast Sophisticated Forecast Simple Forecast

Gary M. Gaukler Impact of Item-level RFID on Retail

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Model DescriptionResearch QuestionsResults

Profit Improvement Vs. Tag Cost (II)

The analysis used θR = 0.97, θN = 0.92The analysis does not consider fixed costs of RFID

Can include these in NPV analysisClearly, fixed cost per product decreases as sales rate increases

Insights:

RFID implementation most conducive to fast-selling productsThe more sophisticated the existing forecasting methods are,the harder it is for RFID to be profitableBreak-even tag cost seems readily attainable (excluding fixedcosts)

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Direct Vs. Indirect Effects

Figure: Profit Improvement vs. Tag Cost t and RFID Effectiveness θR

$0

.00

$0

.01

$0

.02

$0

.05

$0

.10

$0

.20

$0

.30

$0

.50

0.90

0.94

0.99

-12.00%

-8.00%

-4.00%

0.00%

4.00%

8.00%

Tag Cost [$]

R

Shelf RFID: Profit Improvement vs. Tag Cost and R

(a) Shelf RFID

$0.0

0

$0.0

1

$0.0

2

$0.0

5

$0.1

0

$0.2

0

$0.3

0

$0.5

0

0.90

0.94

0.99

-15.00%

-10.00%

-5.00%

0.00%

5.00%

10.00%

15.00%

Tag Cost [$]

R

Backroom+Shelf RFID: Profit Improvement vs. Tag Cost and R

(b) Backroom+Shelf RFID

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

Direct Vs. Indirect Effects (II)

Observations:

Additional benefit from updating the demand forecast can besubstantialAn RFID implementation that updates demand forecasts ispotentially substantially more profitable than an RFIDimplementation that does not

Insight:

RFID most useful for products that are stocked continuallyover many replenishment periodsLess beneficial for one-season, promotional products that mayonly be stocked once

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

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Model DescriptionResearch QuestionsResults

RFID Benefits Vs. Profit Margin

Figure: Profit Improvement vs. Profit Margin; Simple Expo SmoothingProfit Improvement vs. Profit Margin

-8.0%

-4.0%

0.0%

4.0%

8.0%

90% 80% 70% 60% 50% 40% 30% 20%

Profit Margin

Pro

fit

Imp

rov

em

en

t

0.0%

20.0%

40.0%

60.0%

80.0%

100.0%

% d

ue B

ackro

om

% due Backroom Shelf RFID Backroom+Shelf RFID

(a) Profit Improvement

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Model DescriptionResearch QuestionsResults

RFID Benefits Vs. Profit Margin (II)

Without adjusting backroom stocking: (“Shelf RFID”):

Sales and profit improvements highest for high-margin products

With adjusting backroom stocking (“Backroom+Shelf RFID”):

Sales and profit improvements highest for low-margin productsReason: censored demand forecasting (simple expo smoothing)

Insight:

In real-world RFID implementations, a paradoxical effect maysurface: low-margin products (typically B and C items) mayshow more improvement than high-margin productsWhen sophisticated forecasting techniques are used thatcorrectly account for censored demand observations, maximumRFID benefit is obtained for high profit margin products

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Summary

Accounting for indirect effects of RFID is crucialMulti-period model captures the true value of RFID inreducing OOS, which the one-period model could notExpected benefits from RFID are - somewhat surprisingly -very dependent on the type of forecasting algorithm usedPopular wisdom says to implement item-level RFID first forhigh-margin products. This is only true if sophisticatedforecasting methods are already in place. If not, the reversemay be true

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Outlook on Future Research

Perform analysis of the decentralized system

Market power structure, incentives for RFID deployment, ...Include substitutable products

Compare item-level RFID system to a case-level RFID system

Perpetual inventory, POS information

Gary M. Gaukler Impact of Item-level RFID on Retail

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IntroductionContribution Of This Research

Summary

Thank you

Questions?

Contact information:

Dr. Gary M. [email protected] and Systems EngineeringTexas A&M University

Gary M. Gaukler Impact of Item-level RFID on Retail