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Inventory Management CORE MRP II Why Have Inventory

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Inventory Management CORE MRP II Why Have Inventory? Anticipation of demand surge Cycle stock to minimize setups/orders Buffering against uncertainty Pipeline ... – PowerPoint PPT presentation

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Title: Inventory Management CORE MRP II Why Have Inventory


1
Chapter 11
  • Inventory Management

2
CORE MRP II
MANUFACTURING RESOURCE PLANNING
3
(No Transcript)
4
Why Have Inventory?
  • Anticipation of demand surge
  • Cycle stock to minimize setups/orders
  • Buffering against uncertainty
  • Pipeline inventory of goods in transit

5
Lot-Sizing
  • Cycle stock inventories are determined by two
    interrelated decisions
  • When to order/produce
  • How much to order/produce
  • Lot-sizing models attempt to provide answers
    which minimize the total cost over some period of
    time

6
Reactive vs. Proactive Systems
  • Two basic types of inventory systems 
  • Reactive systems
  • Require little detailed knowledge of future
    demand
  • Never look beyond the next purchase/production
    order
  • Proactive systems
  • Require detailed knowledge of demand
  • Plan purchase/production orders far into the
    future

7
Reactive Inventory Systems
  • Order Q more units when inventory drops below ROP
  • Q -- Order quantity (lot size)
  • ROP Reorder point
  • LT -- Lead time (1 Period)
  • T -- Reorder interval

8
Reactive Inventory Systems
  • How should Q and ROP be determined?
  • ROP expected demand during lead time safety
    stock

9
Finding ROP
  • D -- Average demand per period (40)
  • If safety stock is zero, then
  • ROP (D)(LT) ____________________

10
Finding Q
  • EOQ -- The best or most "economic" order quantity
    that minimizes the total cost per period
  • Need to determine how Q affects holding and setup
    costs per period

11
Economic Order Quantity
  • The total cost per period function TCQ can be
    written as a function of Q
  • TCQ total holding cost total setup cost
  •  
  • TCQ (avg. inventory)Ch (setups/period)Cs
  • TCQ ( ) Ch ( ) Cs

12
Economic Order Quantity
13
Cost Minimization Goal
14
Deriving the EOQ
  • Using calculus, we take the derivative of the
    total cost function and set the derivative
    (slope) equal to zero and solve for Q.
  • The total cost curve reaches its minimum where
    the carrying and ordering costs are equal.

15
Economic Order Quantity
  • Solution

16
Economic Order Quantity
17
Proactive Inventory Systems
  • If we have a detailed forecast for the part or
    product . .
  • A lot-sizing decisions can be planned in advance
  • A proactive, rather than reactive approach

18
Lot For Lot
  • Simplest lot-sizing rule
  • Make as much as you need each period 
  • Maximizes total setup cost
  • Minimizes total holding cost
  •  

19
Economic Order Quantity
  • EOQ can also be modified for use in a proactive
    system
  • Some EOQ assumptions are violated
  • Use average demand for EOQ formula

20
Periodic Order Quantity
  • POQ modifies the EOQ for discrete demand
  • Assumes a single best reorder interval (number of
    periods covered by a single lot)

21
Operations Strategy
  • Too much inventory
  • Tends to hide problems
  • Easier to live with problems than to eliminate
    them
  • Costly to maintain
  • Wise strategy
  • Reduce lot sizes
  • Reduce safety stock
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