Üretim 9.1

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    Inventory Management

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    Inventory Management Inventory is one of

    the most expensive

    assets of manycompanies.

    It represents asmuch as 40% oftotal investedcapital.

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    Inventory Management Inventory is any stored resource that is

    used to satisfy a current or future need.

    Raw materials, work-in-process, andfinished goods are examples ofinventory.

    Two basic questions in inventorymanagement are (1) how much to order(or produce), and (2) when to order (orproduce).

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    Basic Functions of

    Inventory 1. If product demand is high in summer,

    a firm might produce during winter.(Decoupling).

    2. Inventory can be a hedge againstprice changes and inflation.

    3. Another use of inventory is to takeadvantage of quantity discounts (when

    buying). (Many suppliers offer discounts for

    large orders)

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    ABC Analysis ABC analysis divides on-hand

    inventory into three classifications

    on the basis of dollar (TL) volume. It is also known as Pareto analysis.

    (which is named after principles

    dictated by Pareto).

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    ABC AnalysisThe idea is to focus resources on

    the critical few and not on the

    trivial many. (Annual Dollar Volume of an Item)

    = (Its Annual Demand) x (Its Cost

    per unit)

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    ABC Analysis Class A items are those on which

    the annual dollar volume is high.

    They represent 70-80% of totalinventory costs, but they accountfor only 15% of total inventory

    items.

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    ABC Analysis Class B items are those on which

    annual dollar volume is medium.

    They represent 15-25% of totaldollar value, and they account for30% of total inventory items on the

    average.

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    ABC Analysis Class C items are low dollar

    volume items.

    They represent only the 5% of totaldollar volume, but they include asmany as 50-60% of total inventory

    items.

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    ABC Analysis

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    ABC Analysis Some of the Inventory Management

    Policies that may be based on ABC

    analysis include: a) Class A items should have tighter

    inventory control.

    b) Class A items may be stored in a more

    secure area. c) Forecasting Class A items may warrant

    more care.

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    Cycle Counting of

    Inventory Inventory records must be verified

    through a continuing audit.

    Such audits are known as(periodical) cycle counting.. (e.g.,counting items at supermarket).

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    Cycle Counting of

    Inventory Cycle counting uses inventory

    classifications developed by ABC analysis.

    That is: Class A items are counted frequently,perhaps once a month.

    Class B items are counted less frequently,

    perhaps once a quarter. Class C items are counted perhaps once

    every six months.

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    Just-in-Time Inventory

    Just in Time

    Inventory is theminimuminventory that

    is necessary tokeep a systemperfectlyrunning.

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    Just-in-Time Inventory With just in time (JIT) inventory,

    The exact amount of items arriveat the moment they areneeded, Not a minute before OR

    not a minute after.

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    Just-in-Time InventoryTo achieve JIT inventory, Managers

    should Reduce the Variability

    Caused by some Internal and ExternalFactors. (Goldratts boys scout example Apply the pace of the slowest boy).

    Existence of Inventory hides thevariability. What causes variability?

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    Just-in-Time Inventory

    Most variability is caused bytolerating waste (inventory).

    (1) For example, employees ormachines produce units that do not

    conform to standards. These arewaste. And they cause variability.

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    Just-in-Time Inventory

    (2) Or, engineering drawings areinaccurate, Again resulting in loss of

    production And consecutivelyresulting in Variability.These are the internal (controllable)

    factors that cause Variability. However, Some of the variability is

    caused by some external factors.

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    Just-in-Time Inventory

    For example, customer demandsmay change due to some external

    factors (such as competitorsactions or promotions)

    In summary, To achieve JIT

    inventory, Managers must beginwith Reducing Inventory.

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    Just-in-Time Inventory

    Reducing Inventory uncovers theRocks located along the way on a

    river, And the water streambecomes more clear.

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    Just-in-Time Inventory

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    Just-in-Time Inventory

    In the figure, the section calledOthers are the Rocks on the

    river.Those rocks include Quality

    Variability, In-transit Delays,

    Machine Breakdowns, Large Lot-sizes, Inaccurate drawings,Employee attendance variability.

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    Just-In-Time Production

    JIT production means (1) Elimination ofWaste, (2) Synchronized Manufacturing, and(3) Little Inventory.

    Reducing the order batch size can be a majorhelp in reducing inventory.

    Average Inventory = (Maximum Inventory +

    Minimum Inventory) / 2

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    Just-In-Time Production

    Average Inventory drops as theinventory re-order quantity drops

    because the maximum inventorylevel drops. (show by drawing) Moreover, the smaller the lot size,

    the fewer the problems are hidden. One way to achieve small lot sizes

    is to Move Inventory through theshop Only as needed.

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    Just-In-Time Production

    This is called a pull system. In thissystem, Ideal Lot size is 1.

    Japanese call this system asKanban system.

    Kanban is a Japanese word for Card.

    A card is used to signal the need formaterial in a work center.

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    Just-In-Time Production

    Sending a card authorizes theprevious work center to send its

    finished batch to the subsequentwork center.

    Batches are typically very small.

    Such a system requires tightschedules and frequent set-ups formachines.

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    Just-In-Time Production

    On the other hand,Small batches allow a

    very limited amountof faulty material,less damages, lessspace occupation,

    less materialhandling, lessaccidents, etc.

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    Holding, Ordering andSet-up Costs

    Holding Costs are the costsassociated with holding or

    carrying inventory over time. It includes costs related to

    Storage; such as insurance, extra

    staffing, interest, and so on.

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    Holding, Ordering andSet-up Costs

    Some example holding costs arebuilding rent or depreciation, building

    operating cost, taxes on building,insurance on building, materialhandling equipment leasing ordepreciation, equipment operating

    cost, handling manpower cost, taxeson inventory, insurance, etc.

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    Holding, Ordering andSet-up Costs

    Ordering Costs include, cost ofsupplies, order processing, clerical

    cost, etc.The ordering cost is valid if the

    products are purchased NOT

    produced internally.

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    Holding, Ordering andSet-up Costs

    Set-up costis the cost to prepare amachine for manufacturing an

    order. Set-up cost is highly correlated

    with set-up time.

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    Holding, Ordering andSet-up Costs

    Machines that traditionally havetaken long hours to set up Are Now

    being set up in less than a minuteby employing FMSs or CIMsystems.

    Reducing set up times is anexcellent way to Reduce Inventory.

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    Inventory Models

    Demand for an item is either dependenton the demand for other items or it is

    independent. For example, demand for refrigerator is

    independent of the demand for cars.

    But, demand for auto tires is certainly

    dependent on the demand of cars.

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    Inventory Models

    In this section, we will deal with theIndependent Demand Situation.

    In the independent demand situation, weshould be interested in answering:

    a) When to place an order for an item,and

    b) how much of an item to order.

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    Inventory Models

    There are Four Basic IndependentDemand Inventory Models:

    1) Economic Order Quantity (EOP)Model (the most known model).

    2) Production Order Quantity Model.

    3) Back order inventory model.

    4) Quantity discount model.

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    Economic OrderQuantity (EOQ) Model

    EOQ model makes a number ofassumptions:

    1-) Demand is known and constant.

    2-) Lead time (the time betweenplacement of order and receipt of

    the order) is constant and known.

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    Economic OrderQuantity (EOQ) Model

    3-) Orders arrive in one batch at a time,and they arrive in one point in time.

    4-) Quantity discounts are not possible.5-) The costs include only setup cost (or

    ordering cost when buying) and holdingcost.

    6-) Orders are always placed at the righttimes. Therefore, stock outs (orshortages) can be completely avoided.

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    Economic OrderQuantity (EOQ) Model

    With these assumptions, thegraphic of inventory usage over

    time is as follows:

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    Economic OrderQuantity (EOQ) Model

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    Economic OrderQuantity (EOQ) Model

    Q = order quantity (That is alsoequal to the Maximum Inventory)

    Minimum Inventory = 0 When inventory level reaches 0, a

    new order is placed and received.

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    Economic OrderQuantity (EOQ) Model

    The objective of inventory modelsis to minimize total cost.

    If we minimize the setup andholding costs, we will be able tominimize total cost:

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    Economic OrderQuantity (EOQ) Model

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    Economic OrderQuantity (EOQ) Model

    As the quantity ordered (Q)increases, holding cost increases,

    And setup cost decreases. In this graph, Optimal order

    quantity (Q*) occurs at a point

    where setup cost is equal to thetotal (annual) holding cost.

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    Economic OrderQuantity (EOQ) Model

    By using this fact, we can write anequation for Q* as follows:

    D: Annual Demand in units for the inventoryitem.

    S: Setup cost (or the ordering cost) for eachorder.

    Notice: (Setup cost for production, ordercost for buying).

    H: Annual Holding cost of inventory per unit.

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    Economic OrderQuantity (EOQ) Model

    There will be (D/Q) times of ordering ina whole year.

    Therefore,Annual Setup cost = (D/Q) . S

    Average Annual Holding Cost = (AverageInventory) . H = (Q/2) . H

    Annual Setup Cost = Annual HoldingCost

    (D/Q) . S = (Q/2) . H

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    Economic OrderQuantity (EOQ) Model

    Therefore,

    Q2 = 2DS / H

    Q* = [2DS / H]1/2

    Q* value is also called as EOQ.

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    Example

    An Inventory model has the followingcharacteristics:

    Annual Demand (D) = 1000 units

    Ordering (Setup) cost (S)= $10 per order;

    Holding cost per unit per year (H) = $.50

    Assume that there are 270 working days in a

    year (excluding holidays and weekends).

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    Example

    Questions:

    a) Find the Economic Order Quantity (Q*)

    for this inventory model.b) How many orders should be placedduring one year?

    c) What is the expected time between two

    consecutive orders?d) What is the total annual cost of this

    inventory model?

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    Example

    Answers:

    a) Q* = [2(1000)10 / .50]1/2 = 200

    units

    b) Expected number of ordersplaced during the year (N) = D / Q*

    = 1000 / 200 = 5 times.

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    Example

    c) Expected time between orders (T) =(Working days in a year) / N = 270 / 5

    = 54 days.d) Total Annual Cost = Annual Setup

    Cost + Annual Holding Cost

    = DS / Q* + (Q*)H / 2

    = 1000 (10) / 200+ (200) (.50) / 2= $100

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    Proof of Optimality byUsing Derivation

    If we take the derivative of TotalCost (TC) function, based on the

    order quantity (Q), we get thefollowing:

    TC = DS / Q + (Q)H / 2dTC/dQ = (- DS / Q2) + (H / 2)

    f f i li b

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    Proof of Optimality byUsing Derivation

    As a mathematic rule, if we set thisderived equation equal to zero, we

    get the optimal (minimum) point ofthe total cost function:

    Therefore,

    f f O i li b

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    Proof of Optimality byUsing Derivation

    P f f O i li b

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    Proof of Optimality byUsing Derivation

    One more check is needed for theoptimality of Q.

    That is we take the second derivative ofthe total cost function based on Q.

    If the second derivative is positive, theQ* value is a real optimum. (Rule)

    In fact, second derivative is equal to2DS / Q3 which is a positive value (It isa real optimum).

    C id i h

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    Considering theReorder Point

    So far, we only decided how muchto order (That is Q*).

    Now, we should find what time toorder.

    We assumed that firm will wait

    until its inventory reaches to zerobefore placing an order.

    C id i th

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    Considering theReorder Point

    And, we also assumed that theOrders will receive immediately.

    However, there is a time betweenplacement and receipt of an order.

    This is called LEAD TIME or delivery

    time.

    C id i th

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    Considering theReorder Point

    Here, we will use the term ReorderPoint (ROP) for when to order.

    ROP (in units) = (Demand Per Day). (Lead time for a new order in

    days)

    ROP = d . L

    C id i th

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    Considering theReorder Point

    C id i th

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    Considering theReorder Point

    When the inventory level reachesthe ROP, a new order is required.

    It will take a time that is equal tothe Lead Time (L) to receive the

    new order.

    C id i th

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    Considering theReorder Point

    Here, Demand per day (d) is found bythe following equation:

    d = D / Number of working days in ayearThis ROP equation assumes that

    demand is uniform and constant. If this is not the case, an extra

    (safety) stock is added (because ofuncertainty).

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    Example

    Annual demand for an item is D =8000/year.

    This year there will be 200 workingdays in a year.

    Delivery of an order for this item

    takes 3 working days (L = 3 days).

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    Example

    Questions:

    a) Find the demand per day for thisitem.

    b) What is the ROP for this item?

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    Example

    Answers:

    a) Demand per day for this item (d)

    = 8000 / 200 = 40 units / day.b) ROP = d . L = 40 . 3 = 120 units.

    When inventory level becomes 120units, an Order should be placed.