scm in automotive industry
TRANSCRIPT
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Supply Chain Management inSupply Chain Management inAutomotive IndustryAutomotive Industry
Dr. KS Bhoon
SJMSOM IIT MUMBAI 11 Aug 2009
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AgendaAgenda
SCM in Auto Industry
Postponement in AutomotiveManufacturing
RFID in Automotive Assembly
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Overview of Performance of IndianOverview of Performance of Indian
Auto Industry Units SoldAuto Industry Units Sold
Category 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 2008-09
PassengerVehicles
707,198 902,096 1,061,572 1,143,076 1,379,979 1,549,882 1,551,880
CommercialVehicles
190,682 260,114 318,430 351,041 467,765 490,494 384,122
Three Wheelers 231,529 284,078 307,862 359,920 403,910 364,781 349,719
Two Wheelers 4,812,126 5,364,249 6,209,765 7,052,391 7,872,334 7,249,278 7,437,670
Grand Total 5,941,535 6,810,537 7,897,629 8,906,428 10,123,988 9,654,435 9,723,391
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Turnover Rs CroreTurnover Rs Crore
5 9 5 2
6 6 1 7
8 3 5 8
1 0 8 0 4
1 3 7 1 4
0
2 0 0 0 0
4 0 0 0 0
6 0 0 0 0
8 0 0 0 0
1 0 0 0 0 0
1 2 0 0 0 0
1 4 0 0 0 0
1 6 0 0 0 0
2 0 0 2 -0 3 2 0 0 3 -0 4 2 0 0 4 -0 5 2 0 0 5 -0 6 2 0 0 6 -0 7
Daily Turnover -376 Crore40 days Inventory 15000 CroreCash Flow opportunity in reduction by 10 Days ~ 4000 Crore
Recurring Savings opportunity @ 20% - 800 Cr
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Supply Chain StructureSupply Chain Structure
OEM RSO DealerTier2
Supplier
Tier 1
Supplier
Tier 3
Supplier
TypicallyAssemblies
TypicallyComponents
TypicallyRaw Material
IntegratorsStandardisersComponents SuppliersRaw Material Suppliers
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Order Fulfillment System AutoOrder Fulfillment System Auto
IndustryIndustry
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Order Fulfillment CycleOrder Fulfillment Cycle
0
5
10
1520
25
30
35
40
45
Orde
rEntr
y
Orde
rBank
Sched
uling
Sequ
encin
g
Manu
factu
re
Ship
toDC
DCtoDealer
Total
NumberofDays
Order Fulfillment process
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Supply Chain DriversSupply Chain Drivers
Efficiency Responsiveness
Inventory Transportation Facilities Information
Supply chain structure
Drivers
Supply Chain Strategy
Competitive Strategy
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Manufacturing (20)
Inventory in the AutoInventory in the Auto
Supply ChainSupply Chain
Dealers (15)Vendors (15)
Parts Warehouses (20)
L A t S l Ch iL A t
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Lean Auto Supply ChainLean Auto upp y a nStrategiesStrategies
Complexity reduction- entails reducing automobile modeloptions or combinations available to the consumer without
reducing the end consumers choices.
Reduction in the number of suppliers - more interfacestend to introduce complexity and goes against the lean supplychain.
Cluster Approach. Popularized by Japanese, first implementedby Maruti in India and now by others to varying degree
Inventory management. -reduced inventory at the line sideof the plant and throughout the supply chain (JIT).
Collaboration- OEM and suppliers cooperation in order toachieve lean supply chains.
Propagation- OEMs need to put forth their lean supply chainsystems to the Tier 1 suppliers and they in turn must do it withtheir suppliers further down the chain.
http://www.hfmgv.org/exhibits/showroom/1908/tbig.jpghttp://www.hfmgv.org/exhibits/showroom/1908/tbig.jpghttp://www.hfmgv.org/exhibits/showroom/1908/tbig.jpghttp://www.hfmgv.org/exhibits/showroom/1908/tbig.jpg -
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van age ovan age oComponentComponent
CommonalityCommonality
0
50000
100000
150000
200000
250000
300000
350000
400000
450000
1 2 3 4 5 6 7 8 9
S
No of Finished products per component
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a orm ra eg es o apanesea orm ra eg es o apaneseand selected European carand selected European car
makersmakers1997 2007
Manufacturer AnnualvolumeModelsPlatforms Models/platfor
m
Volume/platformModelsPlatforms Models/platform
Toyota 4.89m 45 22 2.0 222,272 40 7 5.7
Nissan 2.74m 39 24 1.6 105,385 35 5 7.0
Honda 2.3m 26 15 1.7 153,333 30 5 6.0
Mitsubishi 1.98m 21 12 1.8 94,285 19 7 2.7
Mazda 1.1m 18 14 1.3 78,571 16 4 4.0
Fiat 2.7m 30 13 2.3 207,692 31+ 5 6.2
Volkswagen
3.9m 33 11 3.0 358,503 55 4 13.7
Source: FT World Automotive Marketing
h k l d SCA h k L l d SCM
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Ashok Leyland SCMAshok Leyland SCM
ImplementationImplementation
00-01 01-02 02-03 03-04 04-05
Vendor Base 1017 950 738 612 450
ISO/QS Certified 245 281 364 382 450
Self Certified 210 240 260 290 350
JIT PO Value (%) 69 72 74 77 82
LCL 5 5 6 7 9
MRP 26 23 20 16 9
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CardsGearsCards with Gears
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MotivationMotivation
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CollaborationCollaboration
0 1 2 3 4 5
Customer Service
Demand Management
Inventory ManagementOrder Processing/Fulfillment
Manufacturing
Product Development
Transportation
Distribution Management
Import Export Management
Promotion Planning
Warehousing
Criticality Score
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Business
Curve without
collaboration
Business
Curve with
collaboration
Service Levels
W
orkin
gCapi ta
l
Free Cash Flow
Leveraging CollaborationLeveraging Collaboration
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CollaborationCollaboration
AnalysedAnalysed
Opportunity
Collaboration
ChallengeLead Times
ChallengePostponement
Challenge
Make it win-win
OpportunityCollaboration
OpportunityCollaboration
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Some thoughts on SCM in AutoSome thoughts on SCM in Auto
IndustryIndustry
Forecastso The desire for meeting short term financial
targets often preempts the best forecastingalgorithms
o Forecast model and its accuracy is not measured
frequently.o Operational forecasts usually focus on
interaction between the dealers and marketing.These forecasts are not time-phased across thesupply chain.
o Significant time lag between forecast anddelivery, resulting in greater error
S h h SCM i A
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Some thoughts on SCM in AutoSome thoughts on SCM in Auto
IndustryIndustry
Standardisation and Variety reduction (Customisation by
Modularisation)
Inadequate Infrastructure is leading to frequent changes inproduction schedules in India
Decision making is slow
Limited Production Flexibility
Developing long term strategic partnerships with suppliers. Moreemphasis should be on consistency, less on cost. Line side supplyby vendors in the form of kits.
Reliable logistic providers are needed
Use VMI
Use IT for decision making
Postponement need to be considered where feasible
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Postponement in AutoPostponement in Auto
IndustryIndustry
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Push and Pull SystemsPush and Pull Systems
Push-Pull BoundaryPush-Pull Boundary
PUSH STRATEGY PULL STRATEGY
Push System.Production decisions arebased on long-term forecasts.
Pull System. Production is demand driven
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DifferentiationDifferentiation
The delayed differentiation strategies can beThe delayed differentiation strategies can be
viewed as a method to combine push and pullviewed as a method to combine push and pullsystems within a single supply chainsystems within a single supply chain
CASE: BenettonCASE: Benetton
Acquire Yarn Finishing Garment Parts Join Parts
Benetton, major
supplier of knitwear
Dyeing
Push System. Uncolored
sweaters are made to
forecast.
Pull System. Dyeing, a
reaction to customer
demand
Push-Pull
Boundary
Harvard Business Review JanuaryFebruary (1997 )
Postponement Approaches (Lee and TangPostponement Approaches (Lee and Tang
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Postponement Approaches (Lee and TangPostponement Approaches (Lee and Tang
1995)1995)Basic Approach Redesign Process for Delaying
Product Differentiation
Conditions for Effectiveness
Standardization Design apart that is
common to all products.
Effective when the investment cost and
incremental processing cost required for
the standardization are low.
Modular Design Divide apart into 2 modules
the first module is a commo
part and the assembly
operation of the second
module is deferred.
The number of modules increases.
However, this approach is effec tive whe
the incremental lead time, incremental
processing cost and unit inventory holdin
cost are low.
Process
Restructuring:
Postponement
of Operation
Divide anoperation into 2
steps- the first step is
common to all products and
the execution of the sec on
step is postponed
Effective when the lead time of the
common step is significantly longer than
the second step that is being delayed. I
addition, this approach is effec tive when
the second step is a high value added
Process
Restructuring:
Reversal of
Operations
Reverse the order of 2
operations. As a result, the
first operation is common to
all products.
Effective when deferring the high value-
added operation by reversing the
operations
Diff ti ti P i t i
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ProductDifferentiationPoint
FamilyDifferentiation
Point
T1 T2T3
Differentiation Points inManufacture
P t t i A t A bl
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Alternator
Rotor
Stator
Mounting Brackets
Postponement in Auto Assembly-Alternator Example
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ExampleExampleModel No. Mean
Demand
Sigma 95% Assurance
QuantityA1 20 4 32
A2 20 4 32
A3 20 4 32
A4 20 4 32
Total Stock 128
ith Postponement: Brackets set 128 (same)Stators and Rotors 104 ( Mean 80 SigmaSaving 20% in Stators and Rotors
Postponement in Automotive IndustryPostponement in Automotive Industry
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Postponement in Automotive Industry-Postponement in Automotive Industry-
A PerspectiveA Perspective
(a) Postponement usually occurs on the down streamside of supply chain, i.e. close to the customer. In AutoIndustry major supply chain problems crop on the inwardsupply chain. In some literature it is mentioned as earlypostponement (a contradiction in terms)
(b) Most of the OEM have stopped making components in
house. There is thus a problem in postponing unlesssupplier is brought into picture
(c) There is very little awareness of postponementamong the supply chain managers of Auto OEM. Since most
examples come from PC industry, they feel it is not relevantto them
(d) Just in time practices have shifted some inventoriesfrom OEM premises upstream, to the supplier. Thus, they
feel they have already achieved postponement
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Postponement- A CasePostponement- A Case
StudyStudy
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Slitting
&Cambering
HR Coil
Stage 1Steel Mill
Forming
&Drilling
Slits FrameSideMembers
Stage 2Auto Factory
Slits
Postponement throughCollaboration- Case Study
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Calculation of VOPCalculation of VOP
Overstock Cost. Since calculations cover a period of one year,it can be assumed that over stock will result in scrap. Pastexperience confirmed that. Therefore overstocking cost is equalto the value of HR coil (Rs 25 per kg) minus scrap value
Under stock. Although postponement will result in lower understock, we have ignored this cost in both cases, for want ofreliable yardstick. In the postponed scenario, productionflexibility will ensure larger overall benefit. Therefore, ignoringthis cost adds to the robustness of this strategy.Calculations under Postponement.On postponement, all HRCoils are treated as one product. Thus mean is thealgebraic sum and standard deviation is calculated by theLittles Formula i.e. aggregated sigma is equal to squareroot of number of models multiplied by individual sigma.
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COST BENEFIT ANALYSIS OF
POSTPONEMENT ON RANGES OF MODELS
0.00
200.00
400.00
600.00
800.00
1000.00
1200.00
1 3 5 7 9 11 13 15 17 19
COEFFICIENT OF VARIATION
VO
P
IN
RS
LAK 2
8
20
40
80
Postponement through
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CustomerRequirementCustomer
RequirementCurrentModels
CurrentModels
RationalisedModels
RationalisedModels
Design for
postponementthrough
customisation bymodularisation
Design for
postponementthrough
customisation bymodularisation
Development ofCustomised
Models
Development ofCustomised
Models
New Modelsbased on
Modular Design
New Modelsbased on
Modular Design
Redesignbusiness process
for modulardesign
incorporatingpostponement
strategy
Redesignbusiness process
for modulardesign
incorporatingpostponement
strategy
Postponement through
collaboration
Postponement through
collaboration
Customised Vehicles
Customised Vehicles
CustomerDemand
CustomerDemand
Postponement throughCollaboration- Broad Framework for
Auto Industry
i d
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RFID in Auto IndustryRFID in Auto Industry
OpportunitiesOpportunitiesChallengesChallenges
Case StudyCase StudyWhere are we?Where are we?
ConclusionConclusion
i i i
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RFID Opportunities in AutoRFID Opportunities in Auto
ManufacturingManufacturing
Inventory Visibility Reduction of Inventory in the supplyInventory Visibility Reduction of Inventory in the supplychain and better customer servicechain and better customer service
Speed of movementSpeed of movement
Mistake ProofingMistake Proofing
Data Capture Errors Wrong RecordsData Capture Errors Wrong Records
Mistakes in Assembly ReworkMistakes in Assembly Rework
Early discovery of mistakesEarly discovery of mistakes
After Sales ServiceAfter Sales Service
Reduction of CounterfeitsReduction of Counterfeits
Pilferage reductionPilferage reduction
Vi ibilit Ch ll IVisibility Challenge I
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Visibility Challenge- IVisibility Challenge- I
Average time spent in searching
inventory, tools, people etc per dayTotal time in a year in hours(30x300/60)Total cost per employee -@ Rs 75
per hourTotal Loss per year in anorganisation having 10,000
employees
30 minutes
150 hours
Rs 11250
Rs. 11.25 Cr
No of items involved = 60 Lakhs
Cost of RFIDing @ Rs 100 60*100 = 60 Crores
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Visibility Challenge - IIVisibility Challenge - II
ERP already throws up huge amount of data which is difficultto manage
RFID will throw out more data, leading to data deluge. Weneed to find ways to manage and use the mounds of data thatwill come from RFID tags.
While storekeepers may be reduced, we will need costly datamanagers with advanced statistical knowledge.
Errors usually multiply with more data. Companies must
design IT systems based on the assumption that reading 100percent of the RFID tags today isn't possible. We are habitualof concealing something in short supply. If we want to cheat,RFID will allow us to cheat
Speed of Movementpee o ovement
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Speed of Movementpee o ovementChallengeChallenge
Speed increases because of faster reads
Scanning/reading/counting account for just 10% of non valueadded activities
Major wastes (Muda) in supply chain in India are:
Variance Inventory can go up by 60% if COV is 20% for99% assurance level
Highway movement A truck in USA covers 1200 Km perday as against 400 km in India. That is the mean. It canvary as much as 250 to 500. A truck takes 6 days fromNorth to South with a standard deviation of 2 days(exponential distribution). What will real time information do
for me? Can RFID move the truck faster? Can it grease thepalm of five agencies at each check post faster? Asks a COOof a manufacturing company
Quality
Etc.
C titiC titi
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CompetitivenessCompetitiveness
ChallengeChallenge
India USA
Cost of Labour per Hour Rs 30 Rs 300
Possible bar code scanning in one hour 150 150
Labour cost per scan Rs .20
(20 Paisa)
Rs 2.0
Cost per tag including reader and otheroverheads
Rs 100 Rs 100
No of repeated scans required in thesupply chain to recover labour cost
500 50
Viable Tag price with 10 reads perproduct
Rs 2 Rs 20
Labour cost savings- India v/s USA
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Error/ Mistake ProofingError/ Mistake Proofing
ChallengeChallengeAlthough RFID scanners can read tagged product at speeds in
excess of 600 ft/minute (Wal-Mart expectation!), the need toisolate and fix bad tags by slowing down the conveyordramatically reduces the average performance of the scanningequipment. Even things as basic as tag placement on acomponent/ pallet can dramatically impact the functionality
and accuracy level of the RFID equipment.
Scanning RFID signals off a book is not the same as scanningoff a Self Starter. Imagine what a curved surface can do to anRFID transmission, with signals being deflected and bouncedoff ad infinitum.Water and Metals are mistake dens for RFID trouble spotsElectrical Appliances can distort reads unless taken care ofWho dunnit??
Counterfeits/ PilferageCounterfeits/ Pilferage
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Counterfeits/ PilferageCounterfeits/ Pilferage
ChallengeChallenge
Most technology solutions to Counterfeiting inIndia tend to fail because:
Even when people know it is duplicate, they still buy:
Cheap
Readily availablePersonalized after sales service
Life cycle cost is low
RFID cannot change the culture
Counterfeits always have a counter-counterfeit solutionPilferage? Remember GPS Tracker in The Da Vinci Code
T h i l Ch llT h i l Ch ll
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Technical ChallengesTechnical Challenges
Problems with RFID StandardsProblems with RFID Standards RFID systems can be easily disruptedRFID systems can be easily disrupted RFID reader CollisionsRFID reader Collisions RFID Tag CollisionsRFID Tag Collisions Security, privacy and ethics problems with RFIDSecurity, privacy and ethics problems with RFID The following problems with RFID tags and readers haveThe following problems with RFID tags and readers have
been reported.been reported. An RFID tag cannot tell the difference between oneAn RFID tag cannot tell the difference between onereader and another.reader and another.
RFID readings are not 100% accurate. It is not even six-RFID readings are not 100% accurate. It is not even six-sigmasigma
RFID tags are difficult to removeRFID tags are difficult to remove
RFID tags can be read without your knowledgeRFID tags can be read without your knowledge RFID tags can be read at greater distances with a high-RFID tags can be read at greater distances with a high-
gain antennagain antenna RFID tags with unique serial numbers can be linked toRFID tags with unique serial numbers can be linked to
your companyyour company
Cost Benefit Sharing AcrossCost Benefit Sharing Across
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Cost Benefit Sharing AcrossCost Benefit Sharing Across
Extended EnterpriseExtended Enterprise
HistoricData
Ease of
Maintenance
BrandAuthentication
Distribution
Theft
ControlBrandAuthentication
Inventory Mgt
Theft Control
BrandIdentification
Assembly
Distribution
Support for Recall
Recycling
Distribution
Theft
Control
ReaderInfrastructure
ReaderInfrastructure
Readerinfrastructure
Integration intoexisting ITinfrastructure
Tagging
Changes inproductionprocess
Reader
infrastructure
Post SalesDealerOEMSupplier
Benefits
Cost
Supplier End Customer End
BenefitsCosts
ROI Ch ll
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ROI ChallengeROI Challenge
The Biggest Challenge!The Biggest Challenge!
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CaseCase
StudiesStudies
I- Asset tracking -I- Asset tracking -
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I Asset tracking I Asset tracking InstrumentsInstruments
Track locationTrack CalibrationTrack utilisationTrack Availability
Reduce search timeReduce wait time of critical equipment to
Departments
Streamline preventive maintenance (PM)Enhance security
Store
User Dept 1
User Dept III
User Dept II
Alarm!
252666135 Compression Tester out
II Mistake Proofing Case StudyII-Mistake Proofing Case Study
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II-Mistake Proofing Case StudyII-Mistake Proofing Case Study
RFID in AssemblyRFID in Assembly
ERP
Reader Reader
Components
C St d ICase Study Issues
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Case Study - IssuesCase Study - IssuesTag placement is critical, and requires empirical testing to find theoptimal location. Properly placed tags offered more accurate reads.Tags had to be isolated from metal components. Until tags aremanufactured with an insulating material, there will be restrictions aboutwhere they can be placed.Factory workers need to be thoroughly trained in use of this technology.In unionized environment, it is extremely difficult to implement such
initiativesTags could be too big for some of the valuable components used inproduction, such as sensors in engine. Micro tags tends to be costlier Full data which is generated cannot be used due to existing constraints.For example, existing MIS applications may not be able to accept thisdata, and processing it may require more IT resources. During the
planning phase, it will be necessary to understand how much of this datais useful and how it can be integrated with existing MIS applications.
Note: The Project did not take off because of ROI (Payback Period:15 Years
Proposed Approach to RFIDProposed Approach to RFID
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p ppp ppImplementation in AutoImplementation in Auto
ManufacturingManufacturing
Establish an RFID Cross Functional Team from Engineering,Establish an RFID Cross Functional Team from Engineering,Manufacturing and Supply chainManufacturing and Supply chain
Identify a pilot. Assembly line of a costly item is ideal. Use activeIdentify a pilot. Assembly line of a costly item is ideal. Use activetags and circulate within manufacturing by reusing. Do not promisetags and circulate within manufacturing by reusing. Do not promisepositive NPV at this stagepositive NPV at this stage
Encourage major vendors supplying assemblies costing more thanEncourage major vendors supplying assemblies costing more than
Rs. 10,000 per piece to start similar pilots so that the benefits areRs. 10,000 per piece to start similar pilots so that the benefits areshared across the supply chainshared across the supply chain
Once the pilot is successful in establishing positive NPV, duplicateOnce the pilot is successful in establishing positive NPV, duplicateon all A items (costing Rs 5000 or more), down the value chain,on all A items (costing Rs 5000 or more), down the value chain,costly assembly first- all in manufacturingcostly assembly first- all in manufacturing
Do not go for the parts warehouse immediately. Let the partsDo not go for the parts warehouse immediately. Let the parts
warehouse follow manufacturing. Costs will be minimal, if done inwarehouse follow manufacturing. Costs will be minimal, if done inthis fashion.this fashion.
Expand beyond the supply chain on both ends byExpand beyond the supply chain on both ends by Bar code B and C components, simultaneously and integrate theBar code B and C components, simultaneously and integrate the
two technologiestwo technologies
ConclusionConclusion
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ConclusionConclusion
RFID is not a technology solution to supply chain complexityRFID is not a technology solution to supply chain complexity
in manufacturing. It can only fit in properly if it is embeddedin manufacturing. It can only fit in properly if it is embedded
into processes, not the other way round. Its value, as withinto processes, not the other way round. Its value, as with
any technology, lies in providing solutions to particularany technology, lies in providing solutions to particular
business challenges. While doing so, one should be aware ofbusiness challenges. While doing so, one should be aware of
its advantages and its pitfalls.its advantages and its pitfalls.
I also refer to aI also refer to a FortuneFortune interview in which the Federalinterview in which the Federal
Express CIO, when asked about RFID, quoted Bill Gates'Express CIO, when asked about RFID, quoted Bill Gates'
definition of a "two-ten technology," i.e., for the first twodefinition of a "two-ten technology," i.e., for the first two
years, it's all about hype, then disappointment, until 10years, it's all about hype, then disappointment, until 10
years later when people realize the technology has becomeyears later when people realize the technology has becomeembedded in daily life.embedded in daily life.
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??
S f R ltS f R lt
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Summary of ResultsSummary of ResultsThere is a linear increase in value of postponement with COV.This is expected due to COV and mean demand being uniformly
distributed and calculation of standard deviation (SD) fromthese two leads SD to be uniformly distributed. VOP will thushave linear relation ship with change in COV or mean demandat given No. of models.
Value of postponement increases sharply as the number ofmodels goes up from 2 to 8. However, as the number of modelsis increased further towards 80, relative increase is muchlower. This leads us to an interesting observation postponement strategies yield comparatively high value ofpostponement when number of products to be differentiated is
small. As the number of models is increased, marginal benefitis not as high.
Change in business process to effect postponement will costthe company Rs. 5 Crore approximately. Assuming COV to be a
moderate 10%, we get a VOP of Rs. 5.46 Crore for 80 models.This ields a a back eriod of less than one ear.
IMPACT OF CYCLE SERVICE LEVEL ON VOP- 80
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IMPACT OF CYCLE SERVICE LEVEL ON VOP- 80
MODELS
0.00
200.00
400.00
600.00
800.00
1000.00
1200.00
1 3 5 7 9 11 13 15 17 19
COEFFICIENT OF VARIATION (COV)
V
OP
0.65
0.70
0.75
0.80
0.850.90
0.95
RFID A M f t i MNC 2007
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RFID Across a Manufacturing MNC 2007of interest
under investigation
in development
in shop trial
being implemented
implemented
Part/Assembly Tooling
Calibrated Tools / Gages (Certified)
Computing Assets & Security
Cranes (Overhead) Utilization-Scheduling
Consumables
Documents
Fleet Maintenance (flight hardware)
Foreign Object Detection
HazMat / Time&Temp SensMaterials
Hardware Health Monitoring
Material "out-life" (e.g. composites)
Panstock(Standards)
Parts / Assemblies - Work-in-Progress
Parts / Assembly Shipments
Personnel / Security (Boeing external)
Personnel / Security (Boeing internal)Portable / Hand Tools @ tool crib level
Portable / Hand Tools @ toolbox level
Ramp / Flight Test Equipment
Raw material / Parts Receiving
Stores Inventory
Rotables
Transport Equip (Slings, Dollies, etc)
Serialized Parts (flight hardware)
IDS,HLSS
7E7,dataTBD
Airbus
SSGU
SCustoms,
BCA,C
AS
SSGSecurity
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Anaheim
Auburn
Tulsa
SanA
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Anaheim/ElPas
Application St.Lo
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Philadelphia
Wichita(Militar
Wichi
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Decatur
Hunts
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HuntingtonBea
SealB
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CanogaPark
Mesa
Legend