Group 6 HMI Final

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    Term Project:

    Honda Motors India

    Group 6:

    PGP/13/70: Yogi Agravat

    PGP/13/101: Rahul Aggarwal

    PGP/13/103: Ravindra Manvi

    PGP/13/104: Rohit Kawatra

    PGP/13/121: Shruti Urkude

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    Honda in India

    Honda Motorcycle & Scooter

    India (HMSI):

    Manufacture and distribution

    of motorcycles

    Established :: 1999

    Honda Motors India

    Wholesale of service parts and accessories

    for Honda products

    Established:: 2006

    Honda Siel Power Products Ltd.

    Manufacture and distribution of

    power products

    Established:: 1985

    Honda Siel Cars India (HSCI):

    Manufacture and distribution of

    automobiles

    Established:: 1995

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    HMI CUSTOMER

    DELIVERY

    ORDER

    Dealer

    DELIVERY

    DELIVERY

    ORDER

    APC-THAILAND

    HB-JAPAN

    LOCALSUPPLIERS

    +

    HSCI

    FACTORY

    IMPORTS

    LOCAL

    ORDER

    SUPPLIER

    Supply chain

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    Upstream

    Supply chain

    Japan

    Purchase from the warehouse of Honda

    Type of parts: High value, small critical parts,

    No of parts: Around 25000+

    Ordering Cycle:Weekly

    APC Thailand

    Purchase fromWare house

    Type of parts: High value, Purchased by Honda from Thailand for global operations

    No of parts: Around 6000+

    Ordering Cycle:Weekly

    Local Vendors

    No of Suppliers: nearly 150 suppliers, mostly located in NCR

    Type of parts: Heavy parts, developed with local vendors for new models

    No of parts: Around 7000+

    Ordering Cycle: Monthly

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    Supply chainUpstream :Logistics

    Logistics Partner: keeps changing (annual contracts based on price)

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    Mapping of Sources andWarehouses

    GRN: CentralWarehouse

    MUM: 100% Procurement

    CHE: Procurement + StockReplenishment

    KOL: 100% Stock Replenishment

    Logistics: Trucks (third party)

    GRN

    MUM

    CHE

    KOL

    JPN

    APC

    LOC

    JPN

    APC

    LOC

    APC

    LOCDownstream:

    Majority demand-

    Delhi,

    Punjab,

    Haryana,

    UP,

    Maharashtra

    Supply chain

    Internal

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    Distribution

    Mode of Trnspt. Avg. Dist. Avg. Time

    SURFACE 1-7

    AIR 1-2

    40-3100

    D I S T A NC E 4 5-4 3 0(Kms)

    LE A D TIM E 1 - 2

    (D ays)

    D I S T ANC E 4 00 -1 ,7 0 0

    (Kms)LE A D TIM E 2 - 4

    (D ays)

    D I S TANC E450-1,800

    (Kms)LE A D TIM E 3 - 6

    (D ays)

    D I S T ANC E 2 ,1 0 0 -

    (Kms) 3,100

    LE A D TIM E 4 - 6

    (D ays)

    WEST

    NOR TH

    E A S T

    SOU TH

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    Inventory planning

    ABC Method followed atHonda

    A: 0 85%

    B: 85 90%

    C: 90 95%

    D: 95 99%

    E: 99 100% / Last 6months Non-moving

    F: New Model Part

    G: Last one year

    Non-moving H: Last two year

    Non-moving

    Trigger Point Method

    Stock: Safety Stock

    Pipeline Stock

    Economic Order

    Quantity (EOQ)

    Excess

    Trigger Points

    Safety Level (SL)

    Re-Order Point (ROP)

    Stock Max

    Regular ordering

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    Inventory planning: Servigistics and manual(excel)

    Inventory status: oracle

    TA = OH + OO BO

    Stock Max = SS + LT Stock + Q

    Order Quantity = Stock Max TA Ship -> Mumbai -> Train -> Dadri(Near Noida) -> Truck -> GRN

    Weekly for APC/JPN and Monthly for Local

    Inventory management

    Regular ordering: Operation mechanisms

    Special ordering

    Air Order for products with 15 days inventory or less

    Back Orders

    Very Slow moving

    Daily monitoring of

    BO/CBO

    Very slow moving

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    Inventory norms followed pertaining to sales

    At least 50% of inventoried parts should be sold withinthree months of their stocking

    No more than 10 to 20% of inventoried

    parts should remain unsold

    after one year.

    Inventory management

    Parts Sold In % of Total

    0 3 months 40% to 60%

    4 6 months 15% to 25%

    7 9 months 10% to 20%

    10 12 months 5% to 10%

    More than 12 months 10% to 20%

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    Inventory status: Oracle

    Use of Bar Code at warehouse

    Directly updated in Oracle

    Servigistics implemented last year: Order Planning

    Uses 8 methods of forecasting

    Offers best-fit solution depending upon the data

    Not configured for stock transfer

    No longer used/No maintenance staff for Servigistics

    Actual Order Planning: using Excel

    Manually copy the daily status

    Use of AMC instead of forecast

    Back Order Tracking: Daily BO

    Effective tool for monitoring Back Orders

    Summary and auto-ordering enabled

    Use of IT

    Different tools, different databases

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    TA = OH + OO BO

    not true picture (OO may refer to any number of days)

    Components of On Order

    Back Order at Vendor

    Allocated not shipped by Vendor

    In transit from Vendor to buyer

    Arrived at buyer but O/H stock not updated

    Maintenance of warehouse

    Racks not labelled

    Material not reported

    Material not found when needed

    Kept randomly

    Cycle counting required

    Deficiencies

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    Excessive Back Orders

    Slow moving parts

    Abrupt demand

    Reporting errors

    Supplier issues Difference between Date Receivedand Date Available

    Unloading issues

    Manual Bar code scanning: time consuming

    Difference between Physical Inventory and System Inventory

    Faulty Receiving Reporting Errors

    Source Documents not controlled

    Lack of Security

    Inventory Appreciation or Depreciation not accounted for

    Deficiencies (contd.)

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    Servigistics

    Consult Vendor for configuring stock transfer

    Else scrap it

    Integrate database

    Will enable accurate data for making decisions

    Use the best-fit option

    Monitoring lead time for each product and each supplier

    MaintainingNiguri Planners (as used by Honda Motors Japan)

    Recommendations

    Niguri Planner

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    Use forecast instead of AMC

    Eg. Linear Regression, Exponential smoothing,Winters MultiplicativeMethod (most applicable)

    Warehouse

    Increasing maintenance staff

    Restructuring

    Cycle Counting

    Recommendations(ctd.)

    AMC Forecast: Linear Regression

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    Thank You

    Q & A