Managing Inventory Flow on Supply Chains and Inventory decision making

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1 Session 5 & 6: Managing Inventory Flow on Supply Chains and Inventory decision making Chapter 6&7 Objectives: Understanding the importance of coordinated flows of inventory through supply chains Appreciate the role of inventory and understand the reasons for carrying/ holding inventory Assess the types of inventory related costs Understand how companies can manage inventory using simple tools and techniques Inventory - Definition “The number of units and/or value of the stock of goods held by a company ” Types of Inventory Raw material Work-in-process Finished goods Support parts MROs (maintenance, repairs & operating supplies) In-transit Stock Regular Or Cycle Stock Safety Stock Obsolete, Dead Or Shrinkage Seasonal Stock Speculative Stock Promotional Stock A stock (fast-moving stock) B stock C stock (slow-moving stock) In The Pipeline Called in-transit stock Regular Or Cyclical Stock Inventories required to meet average demand between replenishments. Dependant upon: sales demand or production lot size replenishment lead times price-quantity discount schedules economical shipment quantities storage space limitations

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Managing Inventory Flow on Supply Chains and Inventory decision making

Transcript of Managing Inventory Flow on Supply Chains and Inventory decision making

  • 1Session 5 & 6: Managing Inventory Flow on Supply Chains and Inventory

    decision making

    Chapter 6&7

    Objectives:

    Understanding the importance of coordinated flows of inventory through supply chains

    Appreciate the role of inventory and understand the reasons for carrying/ holding inventory

    Assess the types of inventory related costs

    Understand how companies can manage inventory using simple tools and techniques

    Inventory - Definition

    The number of units and/or value of the stock of goods held by a company

    Types of Inventory

    Raw material Work-in-process Finished goods Support parts MROs (maintenance,

    repairs & operating supplies)

    In-transit Stock Regular Or Cycle Stock Safety Stock Obsolete, Dead Or

    Shrinkage Seasonal Stock Speculative Stock Promotional Stock

    A stock (fast-moving stock) B stock C stock (slow-moving stock)

    In The Pipeline

    Called in-transit stock

    Regular Or Cyclical Stock

    Inventories required to meet average demand between replenishments.

    Dependant upon: sales demand or production lot size replenishment lead times price-quantity discount schedules economical

    shipment quantities storage space limitations

  • 2Safety Stock

    Hedge against variability in supply, demand and replenishment lead time

    Added to regular stock Calculated by statistical procedures Accurate forecasting is essential If demand and lead time 100% correct, no

    need for safety stock

    Obsolete, Dead, Shrinkage Stock

    Includes out of date, lost or stolen stock.

    Where products expensive or easily stolen-must have special precautions.

    Seasonal Stock

    Inventories held in advance of production or sales requirements

    Speculative Stock

    Inventories built up in anticipation of future price increases

    Promotional Stocks

    For marketing promotion purposes Trial product Sampling Free gift

    Reasons for holding inventory

  • 3enables firms to achieve economics of scale

    A firm can realiseeconomics of scale in purchasing, manufacturing, distribution.

    Purchasing in large volumes

    Realising lot quantity discounts

    Transport can move large quantities, reducing freight costs per unit through better vehicle utilisation

    Manufacturing long production runs

    helps balance supply and demand

    helps balance supply and demand when demand or supply is seasonal

    Raw materials supply may be available only at certain times during the year.

    Demand may be seasonal By manufacturing to stock,

    production can be kept level throughout the year. This reduces idle capacity and maintains a relatively stable workforce.

    allows for production specialisation

    Inventory allows firms with subsidiaries to specialise -focused factories

    Instead of producing a variety of products, each plant can manufacture a product and then ship the finished products to field warehouses where they are mixed to fill customer orders.

    protects against uncertainties

    A primary reason to hold inventory is to offset uncertainties in demand and supply.

    Supply shortage in raw materials -production shuts down.

    Customer orders outstrip finished goods supply, stockouts occurs-lose customers.

    acts as a buffer

    Inventory can buffer key interfaces, creating time and place utility

    Key interfaces:Supplier-procurementprocurement-productionproduction-marketingmarketing-distributiondistribution-intermediary intermediary-customer

    Conflicting objectives of functional areas

    Marketing wants high inventories over broad range of products to allow quick response to customer demands

    Production wants high inventories to support long production runs and to realise economics of scale through the reduction of per unit fixed costs

    Finance normally prefers low inventories to increase inventory turns

    MarketingMarketing ProductionProduction FinanceFinance

  • 4Total cost concept

    Order processing &information costs

    Lot quantitycost

    Inventorycarrying costs

    Warehousingcosts

    Transportationcosts

    Customerservice

    Inventory covers problems

    Sea of inventory

    Quality

    problems

    Machinebreakdown Lineimbalance

    Long transportationLong

    set-up

    time

    Lack ofhouse-keeping

    Vendor delivery

    Poor

    schedulin

    g

    Finish product to customer

    Rawmaterial

    Commun

    ication

    problem

    Absenteeism

    Cost of inventory

    Does it cost to carry/hold inventory?

    inventory costs categories

    Carrying costcosts associated with physically storing a product. Includes only those costs that vary with the quantity of inventory. Usually expressed as a % of product value.

    Ordering cost costs of placing an

    order. Setup cost

    refers to modifying the production process to make different goods.

    Two types of costs are associated with inventory

    Inventory carrying costs

    Carryingcost

    Carryingcost

    Service cost

    Service cost

    Capital/opportunity cost

    Capital/opportunity cost

    insuranceinsurance

    Inventory investmentInventory investment

    TaxesTaxes

    Plant warehousesPlant warehouses

    Public warehousesPublic warehouses

    Rented warehousesRented warehouses

    Company warehousesCompany warehouses

    ObsolescenceObsolescence

    DamageDamage

    RelocationRelocation

    TheftTheft

    Storage cost

    Storage cost

    Inventoryrisk cost

    Inventoryrisk cost

    Calculating Inventory Carrying Cost an Example

    10247

    23%

    CapitalStorage spaceInventory serviceInventory risk costTotal

    % of product valueCost

  • 5Ordering/setup costs

    Orderingcost

    Orderingcost

    selecting suppliersselecting suppliers

    processing order requestprocessing

    order request

    preparing payment

    preparing payment

    Reviewinginventory level

    Reviewinginventory level

    Setupcost

    Setupcost Capital

    equipment costCapital

    equipment cost

    Personnelcost

    Personnelcost

    stock checking

    Inventory Costs: Expected Stock-out Cost

    Cost of not having product available when a customer wants it.

    Includes : backorder costs (special order). Losing one item profit by substituting a competing firms

    product. Losing a customer permanently if customer finds they

    prefer the substituted product and/or company.

    STOCKOUT COSTS CALCULATION

    COST POSSIBILITY

    Wait until normal replenishment $0 10%Back order $10 40%Lost of sales $50 30%Lost of customer $100 20%

    Total :$0*10% + $10x40% + $50x30% + 100x20% =$39

    Trade-off: carrying costs vs ordering cost

    Ordering costOrdering cost

    InventoryInventorycarrying costcarrying costA

    nnua

    l cos

    t ($)

    Ann

    ual c

    ost (

    $)

    Size of orderSize of order

    ABC Analysis

    Single-Criterion ABC Analysis: Based on the notion: 'Vital few, trivial many' Separating inventory items into three groupings

    according to their annual cost volume usage. A items having high dollar usage B items having an intermediate dollar usage C items having a low dollar usage.

    The Pareto (80-20) effect

    % of items

    % o

    f tot

    al s

    ales

    20

    20

    100

    100

    80

    80

  • 620% of customers,products, parts

    80% of thecompany's revenueand inventoryinvestment

    These are called"A" customers, "A"products, "A" parts

    30% of customers,products, parts

    15% of thecompany's revenueand inventoryinvestment

    These are called"B" customers, "B"products, "B" parts

    50% of customers,products, parts

    5% of thecompany's revenueand inventoryinvestment

    These are called"C" customers, "C"products, "C" parts

    A-B-C analysis: An Example

    SKU Annual Quantity % of total Annual $ % of total Used Item Purchases Purchases

    1 1023 9.4 3600000 11.82 574 5.3 6200000 20.43 3906 36 1100000 3.64 521 4.8 15400000 50.75 1145 10.5 2300000 7.66 3754 34 1800000 5.9

    Total 10923 100 30400000 100

    Highest

    Lowest

    A-B-C Analysis (Contd)

    SKU Annual Quantity % of total Annual $ % of total Used Item Purchases Purchases

    4 521 4.8 15400000 50.72 574 5.3 6200000 20.41 1023 9.4 3600000 11.85 1145 10.5 2300000 7.66 3754 34 1800000 5.93 3906 36 1100000 3.6

    Total 10923 100 30400000 100

    71.1% of purchases10.1% of items

    Pareto analysis (Example)

    % o

    f tot

    al s

    ales

    10.1

    100

    100

    71.1

    90.5

    30

    A

    B

    C

    10.1%

    19.9%

    70%

    9.5%

    19.5%

    71.1%

    A = 2, 4

    B = 1, 5

    C = 3, 6

    Inventory management policy

    The purpose of classifying items into categories is to establish the appropriate degree of control over each item.

    A category items: must be frequently reviewed and should be

    ordered more frequently. Attempt must be made to reduce the average lot

    size For C category items:

    much looser control is appropriate higher lot size and higher inventory is tolerated

    For B category items

    Basic approaches to managing inventory

    Basic questions:

    How much to order? When to order? Balance cost with service

  • 7Differences among approaches

    Push and pull system

    Dependent and independent demand

    System-wide and single-facility solution

    Key Differences among Approaches to Managing

    Inventory

    Pull versus Push Pull approach is a reactive system, relying on

    customer demand to pull product through a logistics system. MacDonalds is an example.

    Push approach is a proactive system, and uses inventory replenishment to anticipate future demand. Catering businesses are examples of push

    systems.

    PUSH MODEL

    EOQ Economic Order Quantity MRPI Material Requirements Planning MRPII Manufacturing Resource Planning DRP Distribution Requirements Planning ERP Enterprise Resource Planning

    PULL MODEL JIT

    Key Differences among Approaches to Managing

    Inventory

    Dependent versus Independent Demand Dependent demand is directly related to the

    demand for another product. For many manufacturing processes, demand is dependent. JIT, MRPI and MRPII are generally associated with items

    having dependent demand.

    Independent demand is unrelated to the demand for another product.

    For many end-use items, demand is independent. EOQ & DRP models are generally associated with items

    exhibiting independent demand.

    Economic order quantity (EOQ)

    Based on some unrealistic assumptions: Demand is known and constant Lead time is known and constant Receipt of inventory is instantaneous No stock-out Quantity discount is not allowed.

    Economic order quantity (EOQ)

  • 8EOQ Formula-how many to buy?

    LetA = cost of placing an order (or setup

    cost) ($ per order)R = annual demand (units)W = annual inventory carrying cost (as

    a % of product cost)V = value or cost of one unit of

    inventory ($).Q = quantity ordered lot size (units).

    R/Q = number of orders(R/Q)*A = annual ordering (setup) cost.Q/2 = average inventory(Q/2)*W*V = annual inventory carrying

    cost

    Note that optimal total cost occurs at a point where annual carrying cost is equal to annual ordering (setup) cost.

    Therefore,(R/Q)*A = (Q/2)*W*V (i)

    From expression (i) we can calculate Economic Order Quantity (EOQ):

    Q = EOQ = (2RA/WV)

    Re-order point: When to buy?

    Reordering point - ROP = d x L

    Where d = demand rate; L = average lead time

    ROP = (R /12 )x L (when L expressed in months) ROP = (R /52) x L (when L expressed in weeks) ROP=? (When L expressed in days)

    Classroom Exercise

    The Williams Manufacturing Company Purchases 8000 units of a product each year at a unit cost of $10.00. The order cost is $30.00 per order, and the holding cost per unit peryear is $3.00. What are the:

    (1) EOQ, (2) total annual inventory

    expenses(3) number of orders to place in

    one year(4) ROP when the lead time is 2

    weeks?

    Q* = 2RA/WV = (2 x 30 x 8000)/3 = 400 units

    TIC = VR + RA/Q* + WVQ*/2= 10 x 8000 + 30 x 8000/400

    + 3 x 400/2= $81200.00

    N = R/Q* = 8000/400 = 20 orders /year

    ROP = R x L /52 = (8000/52)x2 = 307.7 = 308 units

    Graph

    Q* = 400

    ROP = 308

    LT = 2 Wks

    Q* = 400

    d = 8000/52=308/2 = 154 units

    Two important insights of EOQ

    An optimal policy balances between inventory holding cost and ordering or setup cost.

    Total inventory cost is insensitive to order quantities within certain range, that is, changes in order quantities have relatively small impact on annual setup costs and carrying costs. 1.00 1.200.60 0.80 1.40

    10.0

    5.0

    0.00

    15.0

    20.0

    When Q < 40% Q* total variable cost increases by 14%When Q > 40% Q* total variable cost increases by about 6%

  • 9Inventory under uncertainty

    Demand varies Lead time varies

    2 127

    Demand distribution

    Lead timeVaries between 3 and 5Average lead time = 4

    Example: sales data (Demand)

    Day Sales Day Sales1 100 14 802 80 15 903 70 16 904 60 17 1005 80 18 1406 90 19 1107 120 20 1208 110 21 709 100 22 10010 110 23 13011 130 24 11012 120 25 9013 100

    Minimum sales

    Maximum sales

    Standard deviation of sales = 20 units

    Average sales = 100 units

    Example: lead time data

    # Lead time # Lead time1 9 14 122 8 15 113 9 16 114 13 17 135 11 18 126 7 19 87 12 20 98 11 21 99 9 22 1010 9 23 1011 8 24 912 9 25 1113 10

    Minimum lead time

    Maximum lead time

    Lead time = 7 - 13 days

    Average Lead time = 10 days

    Standard deviation of LT=1.63

    Inventory under uncertainty

    ) Safety stock =(AvgLT*s2d + Avgd2*sLT2) z= (10*400 + 10000* (1.63)2)z

    84.13% = 1 x standard deviation; z=1; safety stock = 175

    97.72% = 2 x standard deviation; z=2; safety stock = 350

    99.87% = 3 x standard deviation; z=3; safety stock = 525

    Probability Distribution

    Total sales=840 average sales=840/12=70

    80116056012606

    601040470910039087021007501

    salesperiodsalesperiod

  • 10

    1800fd2=4000

    900302N=12

    100

    40040020190

    10010010180

    000270

    400100-10460

    400400-20150

    900900-30140

    fd2Deviation squared

    d2

    Deviation from

    average

    Frequency(f)

    sales

    19112

    40001

    2

    ===nfd

    S

    Average lead time=118/158

    18

    fd2=46932

    n=151156

    442110

    21129

    00028

    51-157

    84-226

    99-315

    fd2Deviation squared

    (d2)

    Deviation from

    average

    Frequency(f)

    Lead time in days

    8.1115

    461

    2

    ===nfd

    LT

    ) Safety stock =(AvgLT*s2d + Avgd2*sLT2) *z= (8*192 + 702* (1.8)2) *z=137* z

    MRPI

    Material Requirements Planning

  • 11

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    The McGraw-Hill Companies, Inc., 2004

    Firm orders from knowncustomers

    Forecastsof demand

    from randomcustomers

    Aggregateproduct

    plan

    Bill ofmaterial

    file

    Engineeringdesign

    changes

    Inventoryrecord file

    Inventorytransactions

    Master productionSchedule (MPS)

    Primary reportsSecondary reports

    Planned order schedule for inventory and production control

    Exception reportsPlanning reportsReports for performance control

    Materialplanning(MRP

    computer program)

    MRPII (Closed Loop MRP)

    Master Production Scheduling

    Realistic?No

    Feedback

    Execute

    Yes

    Feedback

    Manufacturing Resource Planning (MRP II)

    Goal: Plan and monitor all resources of a manufacturing firm : manufacturing marketing finance engineering

    DRP

    Distribution Requirements Planning

    Distribution Requirements Planning

    Market Market Market

    Regional warehouse

    Regional warehouse

    FactoryCentral warehouse

  • 12

    Distribution Requirements Planning

    Inventory planning What to distribute How much to distribute

    Transport planning Time & Frequency Vehicle & Driver Route

    Warehouse planning Space Receiving Processing Dispatch

    Customer order planning Order cycle management

    Etc.

    Just In Time (JIT)

    Produces and delivers finished goods just in time to be sold

    Produces sub-assemblies just in time to be assembled into finished goods

    Produces fabricated parts produced just in time to make sub-assemblies

    Purchases raw materials just in time to make fabricated parts

    JIT is a Pull model

    JIT pulls materials and products through production plant and distribution channels in response to customer or downstream demands.

    PullPullflexible manufacturing demand responseShorter production runs

    lower inventory levels

    Inventory at Multiple Locations The Square Root Law (SQL)

    Used to reduce inventory at multiple locations.

    As locations increase, inventory also increases, but not in the same ratio as the growth in facilities.

    Inventory at Multiple Locations The Square Root Law

    X2= (X1) * (n2/n1) Where:

    n1 = number of existing facilitiesn2 = number of future facilitiesX1 = total inventory in existing facilitiesX2 = total inventory in future facilities

    Square Root Law Example

    Current distribution 40,000 units Eight facilities shrinking to two Using the square root law:

    X2 = (40,000) *(2/8)X2 = 20,000 units