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8/23/17 1 MIT Center for Transportation & Logistics The Beer Game Debrief August 22, 2017 Cambridge, MA MIT Center for Transportation & Logistics 2 Debrief Plan How did you feel while playing? Were there any problems? If so, what? What caused these problems? What are some solutions to these problems? Announce winners Analysis

MIT Center for Transportation & Logistics The Beer Game Debrief · 2019-04-05 · The Beer Game Debrief August 22, 2017 Cambridge, MA MIT Center for Transportation & Logistics

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Page 1: MIT Center for Transportation & Logistics The Beer Game Debrief · 2019-04-05 · The Beer Game Debrief August 22, 2017 Cambridge, MA MIT Center for Transportation & Logistics

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MIT Center for Transportation & Logistics

The Beer Game DebriefAugust 22, 2017Cambridge, MA

MIT Center for Transportation & Logistics

MIT Center for Transportation & Logistics 2

Debrief Plan

Howdidyoufeelwhileplaying?

Werethereanyproblems?Ifso,what?

Whatcausedtheseproblems?

Whataresomesolutionstotheseproblems?

Announcewinners

Analysis

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Heard While Playing

ItjustgoesSOwrongSOquickly(factory)Don’tlookatmybacklog!(retailer)We’reinaBIGmess– Iunderforecasted andthenIoverforecasted (retailer)(withsadness….)Ididn’tlookwhereIwaspullingfrom….(retailer)Wegotmixedsignals(factory,aboutdistributor)I’veseenthis(bullwhip)toomuchinactualproduction(factory)YouguysCANNOTbetalkingtoeachother(tablefacilitator)Twohandedslide(singsongbyoneofthefacilitators)Gameover– what?!Boooo….

MIT Center for Transportation & Logistics 4

How did you feel while playing?

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Were there any problems? If so, what?

Andhowwouldyousolvethoseproblems?

MIT Center for Transportation & Logistics 6

How would you solve those problems?

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So who won this game?

• TheSmugglers** $2,775

• IPAs* $4,604

• KoolBeer* $1,032

• Macro-Brew $2,281

• MITBrau $1,840

• FatTire $4,177

• Topp Hopps $4,785

• OnTap $4,166

Averageforthisgame $3,145

*Experttable

**Factorydidn’tcountbacklogfor10weeks….

MIT Center for Transportation & Logistics 9

How do most teams do?

• Topscores ~$1,000+• Worstscores $24,000+• Average $2,000

• BestPossible $200

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A Mystery

Whydosmart,well-intentionedpeopleperformsopoorly?

MIT Center for Transportation & Logistics 11

Unravelling the Mystery…

Mostpeopledealwithsystematthelevelof……

Events

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MIT Center for Transportation & Logistics 12

Event Thinking

Saturday,May14,2005

Uniondividedoverhowtoreversemembershipdrop

WASHINGTON– …Laborleaderscitemanyreasonsforthedecline:Theglobaleconomy,tradeagreements,…poorenforcementoflaborlaws,andRepublicantaxpoliciesthatsqueezethemiddleclass.

MIT Center for Transportation & Logistics 13

Event Thinking

UnionMembershipDropstoRecordLow

“Muchofthedeclineiscomingfromshiftsintheeconomy,"saidGregDenier,aspokesmanforChangetoWin,afederationoflaborunions.“Thousandsofjobsarebeingoutsourcedorlosttotechnologicalchanges.”

"Theunionsarelosingsomanymemberseachyearbecausetheirjobsarebeingoutsourcedandtheyareorganizedinshrinkingsectorsoftheeconomy,likeautos,steelandtextiles,"saidGaryChaison,alaborspecialistatClarkUniversityinWorcester,Mass.

Ref:WillLester,AssociatedPress,Thursday,January25,2007

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MIT Center for Transportation & Logistics 14

Event Thinking

1968 2014

https://gfycat.com/gifs/detail/DaringEmbellishedHake;https://www.washingtonpost.com/news/wonk/wp/2015/02/24/the-incredible-decline-of-american-unions-in-one-animated-map/?utm_term=.534a3cc2404f

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Event Thinking

0

5

10

15

20

25

30

35

40

1880 1900 1920 1940 1960 1980 2000 2020

Year

Percen

t

%UnionMembership

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Example

Ex.Jan‘16SamAdams– Orders by Retailer

Trigger “Event”–spike inorders at

week 9-10

MIT Center for Transportation & Logistics 17

Example

Ex.Jan‘16SamAdams– Orders by Wholesaler

ResponsetoEvent – giantorders at

weeks 11-12

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Events are “just” the visible manifestation of patterns

Events

PatternsofbehaviorIncreasingLeverage

MIT Center for Transportation & Logistics 19

Industry Example: Andre Horn

Foundedin1920

Pioneerinundergroundminingequipment

AndreHornofferedCEOpostafterunprofitableyear….

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Andre Horn

Beforehetookthejob,HornpresentedtotheJoyMfg Board….

changeinprofitsRef.J.Hines,MIT

MIT Center for Transportation & Logistics 22

What patterns did you observe?

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Common Patterns

• Oscillation• Largeamplitudefluctuations,average20weeks.

• Amplification•Amplitudeandvarianceofordersincreasessteadilyfromcustomertoretailertofactory.

• PhaseLag•Theorderratetendstopeaklaterasonemovesfromtheretailertothefactory.

MIT Center for Transportation & Logistics 24

We call these collective patterns“The Bullwhip Effect”

• “Bullwhip”coinedbyProf.HauLee(1997)• iswhere“informationtransferredintheformoforderstendstobedistortedandcanmisguideupstreammembersintheirinventoryandproductiondecisions…thevarianceofordersmaybelargerthanthatofsales,andthedistortiontendstoincreaseasonemovesupstream”*

• describesthegeneraltendencyforsmallchangesinconsumerdemandtobeamplifiedwithinaproduction-distributionsystem**

**McCullen andTowill,Diagnosisandreductionofbullwhipinsupplychains,SupplyChainManagement:AnInternationalJournal,Vol 7,No32002

*Lee,Padmanabhan andWhang,TheBullwhipEffectinSupplyChains,SloanManagementReview,Spring1997

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“The Bullwhip Effect”

Customer Retailer Distributor Factory Tier 1 Supplier Equipment

MIT Center for Transportation & Logistics 26

Oscillation Example – Jan 2017

Oscillation

Oscillation

SamAdams–Inventory atRetailer

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Amplification Example – Jan 2017

Amplification

SamAdams– Inventory atWholesaler

MIT Center for Transportation & Logistics 28

Inventory Phase Lag Example – Jan 2017

SamAdams– InventoryatDistributor

Phase lag – low point atweek 19

SamAdams– Inventory atFactory

Phase lag – lowpoint atweek 22

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Orders Phase Lag Example – Jan 2017

SamAdams– Orders byRetailer

Peak atWeeks 10-13

SamAdams– Orders byWholesaler

Peak atWeeks 13-15

MIT Center for Transportation & Logistics 30

Supply Chain Volatility Amplification:Machine Tools at the tip of the Bullwhip

E. Anderson, C. Fine & G. Parker "Upstream Volatility in the Supply Chain: The Machine Tool Industry as a Case Study," Production and Operations Management, Vol. 9, No. 3, Fall 2000, pp. 239-261.

-10

0

10

20

30

40

50

60

70

80

1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991

% C

hang

e ye

ar o

ver

year

% Change in GDP

% Change in GDP

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Supply Chain Volatility Amplification:Machine Tools at the tip of the Bullwhip

-40

-20

0

20

40

60

80

1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991% C

hang

e ye

ar o

ver

year

% Change in GDP % Change in Vehicle Production

E. Anderson, C. Fine & G. Parker "Upstream Volatility in the Supply Chain: The Machine Tool Industry as a Case Study," Production and Operations Management, Vol. 9, No. 3, Fall 2000, pp. 239-261.

%ChangeinVehicleProduction

MIT Center for Transportation & Logistics 32

Supply Chain Volatility Amplification:Machine Tools at the tip of the Bullwhip

E. Anderson, C. Fine & G. Parker "Upstream Volatility in the Supply Chain: The Machine Tool Industry as a Case Study," Production and Operations Management, Vol. 9, No. 3, Fall 2000, pp. 239-261.

-80

-60

-40

-20

0

20

40

60

80

1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991

% C

hang

e ye

ar o

ver

year

% Change in GDP % Change in Vehicle Production % Change in machine Tools Orders

%ChangeinMachineToolOrders

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Examples of patterns in your supply chain?

• Oscillation

• Amplification

• PhaseLag

MIT Center for Transportation & Logistics 35

Bullwhip & Soup: Event, Pattern

• Event:• Spikeinwinterseasonsoupsales

• Patterns:• Consumptionshowsanincreaseinwinterseason• Shipmentsincrease2Xmaximumconsumptionin

thewinterseason

GraphicRef.:HarvardBusinessReview,March-April1997,pg 112

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Questions about patterns

• Whodidtheworstoneachteam?

• Wastheexperiencethesameordifferentforeachteam?

• Whatdidthedemandpatternsbycustomerlooklike?

MIT Center for Transportation & Logistics 37

What demand patterns did you observe?

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The actual pattern was……

MIT Center for Transportation & Logistics 40

But the “Estimates” of Customer Demand Indicate

• Peoplearetransferring“eventorientation”topatterns

• Thecauseisstillasinglething

• Thecauseis‘outthere’

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The Ultimate Cause is Structure

Events

Patternsofbehavior

Structure

IncreasingLeverage

Thebehavioroftheplayersiscontrolledbythestructureofthesystem

SlideadoptedfromDr.JimHines,MITSystemDynamicsGroup

MIT Center for Transportation & Logistics 42

Bullwhip & Soup: Event, Pattern, Structure

• Event:• Spikeinwinterseasonsoupsales

• Patterns:• Consumptionshowsanincreaseinwinterseason• Shipmentsincrease2Xmaximumconsumptionin

thewinterseason

• Structure:• Salespromotionsandincentivesencourage

inventorybuildupbeyonddemand

GraphicRef.:HarvardBusinessReview,March-April1997,pg 112

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Bullwhip & Wheat: The Facts

• WSJ5-3-17reportsgrainsurplus,foodprocessorshavenoincentivetobuyinadvance

• WSJ7-10-17reportswheatshortage,40%priceincrease,speculatorsbuying

Ref.:WSJ7-10-17“TradersGobbleUpWheatAmidGreatPlainsDrought”Ref.:WSJ5-3-17“GrainTradersHaveaProblem:TooMuchGrain”

MIT Center for Transportation & Logistics 44

Bullwhip and Wheat: Event, Pattern, Structure

• Event:GlobalgrainglutSpring2017• Response:Farmersfallowfields(i.e.theydonotplant)• “Farmerssowedthefewestacresofwheatinacenturythisyear.”

• Patterns:• #plantedacresofwheathasbeen

decliningfordecades• Yieldhasbeenincreasingfordecades

(enabledbytechnologyandprocess).0

10.020.030.040.050.060.070.080.090.0100.0

1970/71

1972/73

1974/75

1976/77

1978/79

1980/81

1982/83

1984/85

1986/87

1988/89

1990/91

1992/93

1994/95

1996/97

1998/99

2000/01

2002/03

2004/05

2006/07

2008/09

2010/11

2012/13

2014/15

2016/17

Plantedacres(millionacres)

Yield(bushe

lspe

racre)

PlantedAcresandYield(AllWheat)

PlantedAcres Yield

Datasource:https://www.ers.usda.gov/data-products/wheat-data/ QuoteRef.:WSJ7-10-17“TradersGobbleUpWheatAmidGreatPlainsDrought”

• Structure:• Fewerplantedacresarerequiredforthesameoutput• Feweracresplantedmakesforsystemmorepronetodroughtrisk

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Bullwhip and Wheat: Options

• Weseethatstructureisdrivingthepatterns:• Theagriculturesystemrequiresfeweracresforthesameoutput• Butlessacreageplantedmakesforsystemmorepronetodroughtrisk

• Knowingthere’smoreriskintheagriculturalwheatproductionsystem,considersomeactionstotake:• Buycontractsearlytolockupsupply• Contractforsupplydirect• Contractforsupplyfromdifferentlocationstospreadregionaldroughtrisk

MIT Center for Transportation & Logistics 47

Beer Game Structure

Inventory

OrdersPlaced

IncomingOrders

ShippingDelay

ShippingDelayDesired

Inventory

InventoryShortage

CausalLoopDiagrams

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Now that we understand the patterns and structure…

• Whatarethestructuralproblems?

• Whataresomesolutions?

MIT Center for Transportation & Logistics 49

What are the structural problems?

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What are the structural problems?

• Informationlags– 2weeksbetweeneachstage• Deliverylags– 2weeksbetweeneachstage• Limitedinformation- eachweeklyorderistheonlyinfoprovided• Eachstageforecastingindependently

• Nocoordinationpermitted• Actualdemandunknownexceptatretailer• Coststructure– twiceexpensivetostockout thantocarryinventory

MIT Center for Transportation & Logistics 51

Other common structural problems

• Pricingpolicy– encouragingbulkpurchases,forwardbuyingàartificiallycreatesspikes• Cancellationpolicy– canenableover-orderingiftherearenodownsidesforcancellations• Promotions&discounting– canshiftdemandintocyclicalpurchasepatternsratherthansteadyresupplybasedonactualdemand• Allocationpolicyinconstrainedsupplyenvironment– canenableover-ordering• Inconsistentincentives

• Quarterlysalesgoals,unitcostfactorymeasure,lowestcostdistribution

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What are the some solutions?

MIT Center for Transportation & Logistics 53

What are the some solutions?

• Collaboration

• Increasevisibility

• Usehistoricaldata

• Shorterdelays

• Eliminatemiddle-man

• Strategicpartnership&informationsharing

• Alignpolicies,incentives,perf.measures

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MIT Center for Transportation & Logistics 54

Some suggestions & challenge to implement

• Collaboration• Increasevisibility• Usehistoricaldata• Shorterdelays• Eliminatemiddle-man• Strategicinfosharing• Alignincentives,KPIs

Ö

Ö

Ö

Ö

Ö

Ö

Ö

Difficult LessDifficult

Thesealleffectthestructureofthesystem…..

MIT Center for Transportation & Logistics 55

Applying these to “The Bullwhip Effect”

Customer Retailer Distributor Factory Tier 1 Supplier Equipment

STRUCTURALPROBLEMS:InformationlagsDeliverylagsIndependentforecastingOrderbatchingPricefluctuationsInconsistentincentives- GamingallocationsPromotions/discounting

SOLUTIONSTRATEGIES:• ReduceUncertainty

• ReduceVariability

• ReduceLeadtime

• ImproveChannelMgt

• Alignpolicies,incentives,KPIs

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Thoughts to Leave With

• Whatcausedtheproblems?• Rushtosolutionsbeforeseeingtheproblem(oscillations)!• Evenafterseeingtheproblemwerushedtosolutionswithoutunderstandingtherealdynamics(flatdemand)andtherootcause(structure)

• Whatwillyoudowhenyoureturntotheworkforce?• Rushtosolution?• Orwillyoufirstdeterminetherootcauses?• Howwillyoudothat?• Howwillyoufindthebigprobleminyoursystem?

MIT Center for Transportation & Logistics 57

Thank you

JimRiceDeputyDirector– MITCTL

[email protected]

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Reference

• “The Fifth Discipline” by Peter Senge

• Available at the MIT COOP (next to Marriott)