Transcript Operations

CHAPTER
Independent Demand Inventory
Management
Reid & Sanders, Operations Management
© Wiley 2002
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Learning Objectives
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Describe different types & uses of inventory
Understand relevant inventory costs
Calculate order quantities
Evaluate different inventory policies
Calculate appropriate safety stock policies
Understand ABC inventory policies
Compare cycle & periodic counting
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Types of Inventory
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Uses of Inventory
• Anticipation or seasonal inventory
• Safety stock: buffer demand fluctuations
• Lot-size or cycle stock: take advantage of
quantity discounts or purchasing efficiencies
• Pipeline or transportation inventory
• Speculative or hedge inventory
• Maintenance, repair, and operating (MRO)
inventories
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Objectives & Measures
• Provide desired customer service level:
– Percentage of orders shipped on schedule
– Percentage of lines shipped on schedule
– Percentage of dollar volume shipped on schedule
• Provide for cost-efficient operations:
– Total inventory-related costs
• Minimize inventory related investments:
– Inventory turnover
– Weeks (or days) of supply
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Relevant Costs
• Item price
• Holding costs
– Variable costs dependent upon the amount of inventory held
(e.g.: capital & opportunity costs, storage & insurance, risk of
obsolescence)
• Ordering & setup costs:
– Fixed cost of placing an order (e.g.: clerical accounting &
physical handling) or setting up production (e.g.: lost
production to change tools & clean equipment)
• Shortage costs:
– Lost profit, expediting & back ordering expenses
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Order Quantity Approaches
• Lot-for-lot:
– Order exactly what is needed
• Fixed order quantity:
– Order a predetermined amount each time
• Min-max system:
– When inventory falls to a set minimum level, order up
to the predetermined maximum level
• Order enough for n periods
• Periodic review:
– At specified intervals, order up to a predetermined
target level
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Periodic Review System
• Target inventory calculation:
TI  d RP  L  SS
• Order quantity calculation:
Q  TI  OH
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Fixed-Order Quantity Models
• Economic Order Quantity (EOQ)
• Economic Production Quantity (EPQ)
• Quantity Discount Model
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EOQ Assumptions
• Demand is known & constant - no
safety stock is required
• Lead time is known & constant
• No quantity discounts are available
• Ordering (or setup) costs are constant
• All demand is satisfied (no shortages)
• The order quantity arrives in a single
shipment
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Inventory Profile
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EOQ Total Costs
Total annual costs + annual ordering costs + annual holding costs
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EOQ: Total Cost Equation
TC EOQ
 D  Q 
  S    H 
Q   2 
• Minimize the TC by ordering the EOQ:
2 DS
EOQ 
H
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Simple Reorder Point
R = dL
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EOQ Example
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Solution
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EPQ Assumptions
• Same as the EOQ except: inventory arrives in
increments & is drawn down as it arrives
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EPQ Equations
• Adjusted total cost: TCEPQ
• Maximum inventory: I MAX
• Adjusted order quantity:
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 D   I MAX 
  S   
H

Q   2
 d
 Q1  
 p
EPQ 
2 DS
 d
H 1  
 p
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Quantity Discount Model
Assumptions
• Same as the EOQ, except:
– Unit price depends upon the quantity
ordered
• Adjusted total cost equation:
TCQD
 D  Q 
  S    H   PD
Q   2 
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Quantity Discount Procedure
• Calculate the EOQ at the lowest price
• Determine whether the EOQ is feasible at
that price
– Will the vendor sell that quantity at that price
• If yes, stop – if no, continue
• Check the feasibility of EOQ at the next
higher price
• Continue to the next slide ...
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QD Procedure
• Continue until you identify a feasible EOQ
• Calculate the total costs (including purchase
price) for the feasible EOQ model
• Calculate the total costs of buying at the
minimum quantity allowed for each of the
cheaper unit prices
• Compare the total cost of each option &
choose the lowest cost alternative
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What if Demand is Uncertain?
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Adding Safety Stock
• Order-cycle service level:
– From a managerial standpoint, determine
the acceptable probability that demand
during lead time won’t exceed on-hand
inventory
– Risk of a stockout: 1 – (service level)
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Adjusted Reorder
Point Equation
R  dL  z dL
R = reorder point
d = average daily demand
L = lead time in days
z = number of standard deviations associated with desired service level
sigma = standard deviation of demand during lead time
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ABC Classification
• Pareto’s law:
– Roughly 20% of inventories will account for 80%
of inventory value
• Divide inventories into A, B, and C categories
based on value, risk, & other considerations
– Use tight controls & frequent reviews for A items
– Use normal methods to manage B items
– Use simple, inexpensive systems with large safety
stocks to manage C items (just don’t run out)
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Periodic versus Cycle Counting
• Periodic counting:
– Take a periodic (often annual) physical
inventory to verify & update records
• Cycle counting:
– Count specified items each day (mini
physical inventories)
– Frequency with which each item is counted
depends upon its ABC classification
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The End
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