Discussion
11
Managing Economies of Scale in a Supply Chain: Cycle Inventory
PowerPoint presentation to accompany
Chopra and Meindl Supply Chain Management, 5e
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Learning Objectives
Balance the appropriate costs to choose the optimal lot size and cycle inventory in a supply chain.
Understand the impact of quantity discounts on lot size and cycle inventory.
Devise appropriate discounting schemes for a supply chain.
Understand the impact of trade promotions on lot size and cycle inventory.
Identify managerial levers that reduce lot size and cycle inventory in a supply chain without increasing cost.
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Role of Cycle Inventory in a Supply Chain
Lot or batch size is the quantity that a stage of a supply chain either produces or purchases at a time
Cycle inventory is the average inventory in a supply chain due to either production or purchases in lot sizes that are larger than those demanded by the customer
Q: Quantity in a lot or batch size
D: Demand per unit time
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When is the right time to produce or purchase
Higher inventory can cause higher cost.
Are we organizing the FIFO or LIFO
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Inventory Profile
Figure 11-1
Re-order point e.g. 3days
Inventory on Hand
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Say the top is 100 and the bottom is 0
Say it take 10 days to get rid of inventory. So this would be the cycle profile
https://www.youtube.com/watch?v=WtMHXu-voeQ
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Role of Cycle Inventory in a Supply Chain
Average flow time resulting from cycle inventory
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This calculation will determine when to make an order.
E.g. Avg. Flow time re from cyctle inve: 5 days.
You know this is when you should purchace.
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Role of Cycle Inventory in a Supply Chain
Lower cycle inventory has
Shorter average flow time
Lower working capital requirements
Lower inventory holding costs
Cycle inventory is held to
Take advantage of economies of scale
Reduce costs in the supply chain
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Role of Cycle Inventory in a Supply Chain
Average price paid per unit purchased is a key cost in the lot-sizing decision
Material cost = C
Fixed ordering cost includes all costs that do not vary with the size of the order but are incurred each time an order is placed
Fixed ordering cost = S
Holding cost is the cost of carrying one unit in inventory for a specified period of time
Holding cost = H = hC
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Role of Cycle Inventory in a Supply Chain
Primary role of cycle inventory is to allow different stages to purchase product in lot sizes that minimize the sum of material, ordering, and holding costs
Ideally, cycle inventory decisions should consider costs across the entire supply chain
In practice, each stage generally makes its own supply chain decisions
Increases total cycle inventory and total costs in the supply chain
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Role of Cycle Inventory in a Supply Chain
Economies of scale exploited in three typical situations
A fixed cost is incurred each time an order is placed or produced
The supplier offers price discounts based on the quantity purchased per lot
The supplier offers short-term price discounts or holds trade promotions
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Estimating Cycle Inventory Related Costs in Practice
Inventory Holding Cost
Cost of capital
where
E = amount of equity
D = amount of debt
Rf = risk-free rate of return
b = the firm’s beta
MRP = market risk premium
Rb = rate at which the firm can borrow money
t = tax rate
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Inventory Holding Cost
Cost of capital
Estimating Cycle Inventory Related Costs in Practice
Adjusted for pre-tax setting
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Estimating Cycle Inventory Related Costs in Practice
Inventory Holding Cost
Obsolescence cost
Handling cost
Occupancy cost
Miscellaneous costs
Theft, security, damage, tax, insurance
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Estimating Cycle Inventory Related Costs in Practice
Ordering Cost
Buyer time
Transportation costs
Receiving costs
Other costs
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Economies of Scale to Exploit Fixed Costs
Lot sizing for a single product (EOQ)
D = Annual demand of the product
S = Fixed cost incurred per order
C = Cost per unit
H = Holding cost per year as a fraction of product cost
Basic assumptions
Demand is steady at D units per unit time
No shortages are allowed
Replenishment lead time is fixed
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Economies of Scale to Exploit Fixed Costs
Minimize
Annual material cost
Annual ordering cost
Annual holding cost
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Lot Sizing for a Single Product
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Lot Sizing for a Single Product
Figure 11-2
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Lot Sizing for a Single Product
The economic order quantity (EOQ)
The optimal ordering frequency
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EOQ Example
Annual demand, D = 1,000 x 12 = 12,000 units
Order cost per lot, S = $4,000
Unit cost per computer, C = $500
Holding cost per year as a fraction of unit cost, h = 0.2
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Notes:
EOQ Example
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Notes:
EOQ Example
Lot size reduced to Q = 200 units
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Notes:
Lot Size and Ordering Cost
If the lot size Q* = 200, how much should the ordering cost be reduced?
Desired lot size, Q* = 200
Annual demand, D = 1,000 × 12 = 12,000 units
Unit cost per computer, C = $500
Holding cost per year as a fraction of inventory value, h = 0.2
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Production Lot Sizing
The entire lot does not arrive at the same time
Production occurs at a specified rate P
Inventory builds up at a rate of P – D
Annual setup cost
Annual holding cost
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Aggregating Multiple Products in a Single Order
Savings in transportation costs
Reduces fixed cost for each product
Lot size for each product can be reduced
Cycle inventory is reduced
Single delivery from multiple suppliers or single truck delivering to multiple retailers
Receiving and loading costs reduced
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Lot Sizing with Multiple Products or Customers
Ordering, transportation, and receiving costs grow with the variety of products or pickup points
Lot sizes and ordering policy that minimize total cost
Di: Annual demand for product i
S: Order cost incurred each time an order is placed, independent of the variety of products in the order
si: Additional order cost incurred if product i is included in the order
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Lot Sizing with Multiple Products or Customers
Three approaches
Each product manager orders his or her model independently
The product managers jointly order every product in each lot
Product managers order jointly but not every order contains every product; that is, each lot contains a selected subset of the products
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Multiple Products Ordered and Delivered Independently
Demand DL = 12,000/yr, DM = 1,200/yr, DH = 120/yr
Common order cost S = $4,000
Product-specific order cost sL = $1,000, sM = $1,000, sH = $1,000
Holding cost h = 0.2
Unit cost CL = $500, CM = $500, CH = $500
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Notes:
Multiple Products Ordered and Delivered Independently
| Litepro | Medpro | Heavypro | |
| Demand per year | 12,000 | 1,200 | 120 |
| Fixed cost/order | $5,000 | $5,000 | $5,000 |
| Optimal order size | 1,095 | 346 | 110 |
| Cycle inventory | 548 | 173 | 55 |
| Annual holding cost | $54,772 | $17,321 | $5,477 |
| Order frequency | 11.0/year | 3.5/year | 1.1/year |
| Annual ordering cost | $54,772 | $17,321 | $5,477 |
| Average flow time | 2.4 weeks | 7.5 weeks | 23.7 weeks |
| Annual cost | $109,544 | $34,642 | $10,954 |
Table 11-1
Total annual cost = $155,140
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Notes:
Lots Ordered and Delivered Jointly
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Products Ordered and Delivered Jointly
Annual order cost = 9.75 x 7,000 = $68,250
Annual ordering
and holding cost = $61,512 + $6,151 + $615 + $68,250
= $136,528
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Products Ordered and Delivered Jointly
| Litepro | Medpro | Heavypro | |
| Demand per year (D) | 12,000 | 1,200 | 120 |
| Order frequency (n∗) | 9.75/year | 9.75/year | 9.75/year |
| Optimal order size (D/n∗) | 1,230 | 123 | 12.3 |
| Cycle inventory | 615 | 61.5 | 6.15 |
| Annual holding cost | $61,512 | $6,151 | $615 |
| Average flow time | 2.67 weeks | 2.67 weeks | 2.67 weeks |
Table 11-2
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Aggregation with Capacity Constraint
W.W. Grainger example
Demand per product, Di = 10,000
Holding cost, h = 0.2
Unit cost per product, Ci = $50
Common order cost, S = $500
Supplier-specific order cost, si = $100
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Notes:
Aggregation with Capacity Constraint
Annual holding cost per supplier
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Notes:
Aggregation with Capacity Constraint
Total required capacity per truck = 4 x 671 = 2,684 units
Truck capacity = 2,500 units
Order quantity from each supplier = 2,500/4 = 625
Order frequency increased to 10,000/625 = 16
Annual order cost per supplier increases to $3,600
Annual holding cost per supplier decreases to $3,125.
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Notes:
Lots Ordered and Delivered Jointly for a Selected Subset
Step 1: Identify the most frequently ordered product assuming each product is ordered independently
Step 2: For all products i ≠ i*, evaluate the ordering frequency
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Lots Ordered and Delivered Jointly for a Selected Subset
Step 3: For all i ≠ i*, evaluate the frequency of product i relative to the most frequently ordered product i* to be mi
Step 4: Recalculate the ordering frequency of the most frequently ordered product i* to be n
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Lots Ordered and Delivered Jointly for a Selected Subset
Step 5: Evaluate an order frequency of ni = n/mi and the total cost of such an ordering policy
Tailored aggregation – higher-demand products ordered more frequently and lower-demand products ordered less frequently
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Ordered and Delivered Jointly – Frequency Varies by Order
Applying Step 1
Thus
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Ordered and Delivered Jointly – Frequency Varies by Order
Applying Step 2
Applying Step 3
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Ordered and Delivered Jointly – Frequency Varies by Order
| Litepro | Medpro | Heavypro | |
| Demand per year (D) | 12,000 | 1,200 | 120 |
| Order frequency (n∗) | 11.47/year | 5.74/year | 2.29/year |
| Optimal order size (D/n∗) | 1,046 | 209 | 52 |
| Cycle inventory | 523 | 104.5 | 26 |
| Annual holding cost | $52,307 | $10,461 | $2,615 |
| Average flow time | 2.27 weeks | 4.53 weeks | 11.35 weeks |
Table 11-3
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Ordered and Delivered Jointly – Frequency Varies by Order
Applying Step 4
Applying Step 5
Annual order cost Total annual cost
$130,767
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Economies of Scale to Exploit Quantity Discounts
Lot size-based discount – discounts based on quantity ordered in a single lot
Volume based discount – discount is based on total quantity purchased over a given period
Two common schemes
All-unit quantity discounts
Marginal unit quantity discount or multi-block tariffs
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Quantity Discounts
Two basic questions
What is the optimal purchasing decision for a buyer seeking to maximize profits? How does this decision affect the supply chain in terms of lot sizes, cycle inventories, and flow times?
Under what conditions should a supplier offer quantity discounts? What are appropriate pricing schedules that a supplier seeking to maximize profits should offer?
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All-Unit Quantity Discounts
Pricing schedule has specified quantity break points q0, q1, …, qr, where q0 = 0
If an order is placed that is at least as large as qi but smaller than qi+1, then each unit has an average unit cost of Ci
Unit cost generally decreases as the quantity increases, i.e., C0 > C1 > … > Cr
Objective is to decide on a lot size that will minimize the sum of material, order, and holding costs
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All-Unit Quantity Discounts
Figure 11-3
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All-Unit Quantity Discounts
Step 1: Evaluate the optimal lot size for each price Ci,0 ≤ i ≤ r as follows
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All-Unit Quantity Discounts
Step 2: We next select the order quantity Q*i for each price Ci
1.
2.
3.
Case 3 can be ignored as it is considered for Qi+1
For Case 1 if , then set Q*i = Qi
If , then a discount is not possible
Set Q*i = qi to qualify for the discounted price of Ci
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All-Unit Quantity Discounts
Step 3: Calculate the total annual cost of ordering Q*i units
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All-Unit Quantity Discounts
Step 4: Select Q*i with the lowest total cost TCi
Cutoff price
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All-Unit Quantity Discount Example
| Order Quantity | Unit Price |
| 0–4,999 | $3.00 |
| 5,000–9,999 | $2.96 |
| 10,000 or more | $2.92 |
q0 = 0, q1 = 5,000, q2 = 10,000
C0 = $3.00, C1 = $2.96, C2 = $2.92
D = 120,000/year, S = $100/lot, h = 0.2
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All-Unit Quantity Discount Example
Step 1
Step 2
Ignore i = 0 because Q0 = 6,324 > q1 = 5,000
For i = 1, 2
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All-Unit Quantity Discount Example
Step 3
Lowest total cost is for i = 2
Order bottles per lot at $2.92 per bottle
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Marginal Unit Quantity Discounts
Multi-block tariffs – the marginal cost of a unit that decreases at a breakpoint
For each value of i, 0 ≤ i ≤ r, let Vi be the cost of ordering qi units
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Marginal Unit Quantity Discounts
Figure 11-4
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Marginal Unit Quantity Discounts
Material cost of each order Q is Vi + (Q – qi)Ci
Total annual cost
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Marginal Unit Quantity Discounts
Step 1: Evaluate the optimal lot size for each price Ci
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Marginal Unit Quantity Discounts
Step 2: Select the order quantity Qi* for each price Ci
1.
2.
3.
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Marginal Unit Quantity Discounts
Step 3: Calculate the total annual cost of ordering Qi*
Step 4: Select the order size Qi* with the lowest total cost TCi
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Marginal Unit Quantity Discount Example
Original data now a marginal discount
| Order Quantity | Unit Price |
| 0–4,999 | $3.00 |
| 5,000–9,999 | $2.96 |
| 10,000 or more | $2.92 |
q0 = 0, q1 = 5,000, q2 = 10,000
C0 = $3.00, C1 = $2.96, C2 = $2.92
D = 120,000/year, S = $100/lot, h = 0.2
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Marginal Unit Quantity Discount Example
Step 1
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Marginal Unit Quantity Discount Example
Step 2
Step 3
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Why Quantity Discounts?
Quantity discounts can increase the supply chain surplus for the following two main reasons
Improved coordination to increase total supply chain profits
Extraction of surplus through price discrimination
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Notes:
Quantity Discounts for Commodity Products
D = 120,000 bottles/year, SR = $100, hR = 0.2, CR = $3
SM = $250, hM = 0.2, CM = $2
Annual supply chain cost (manufacturer + DO)
= $6,009 + $3,795 = $9,804
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Locally Optimal Lot Sizes
Annual cost for DO and manufacturer
Annual supply chain cost (manufacturer + DO)
= $5,106 + $4,059 = $9,165
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Notes:
Designing a Suitable Lot Size-Based Quantity Discount
Design a suitable quantity discount that gets DO to order in lots of 9,165 units when its aims to minimize only its own total costs
Manufacturer needs to offer an incentive of at least $264 per year to DO in terms of decreased material cost if DO orders in lots of 9,165 units
Appropriate quantity discount is $3 if DO orders in lots smaller than 9,165 units and $2.9978 for orders of 9,165 or more
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Notes:
Quantity Discounts When Firm Has Market Power
Demand curve = 360,000 – 60,000p
Production cost = CM = $2 per bottle
p to maximize ProfR
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Notes:
Quantity Discounts When Firm Has Market Power
CR = $4 per bottle, p = $5 per bottle
Total market demand = 360,000 – 60,000p = 60,000
ProfR = (5 – 4)(360,000 – 60,000 × 5) = $60,000
ProfM = (4 – 2)(360,000 – 60,000 × 5) = $120,000
ProfSC = (p – CM)(360,000 – 60,000p)
Coordinated retail price
ProfSC = ($4 – $2) x 120,000 = $240,000
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Two-Part Tariff
Manufacturer charges its entire profit as an up-front franchise fee ff
Sells to the retailer at cost
Retail pricing decision is based on maximizing its profits
Effectively maximizes the coordinated supply chain profit
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Notes:
Volume-Based Quantity Discounts
Design a volume-based discount scheme that gets the retailer to purchase and sell the quantity sold when the two stages coordinate their actions
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Notes:
Lessons from Discounting Schemes
Quantity discounts play a role in supply chain coordination and improved supply chain profits
Discount schemes that are optimal are volume based and not lot size based unless the manufacturer has large fixed costs associated with each lot
Even in the presence of large fixed costs for the manufacturer, a two-part tariff or volume-based discount, with the manufacturer passing on some of the fixed cost to the retailer, optimally coordinates the supply chain and maximizes profits
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Lessons from Discounting Schemes
Lot size–based discounts tend to raise the cycle inventory in the supply chain
Volume-based discounts are compatible with small lots that reduce cycle inventory
Retailers will tend to increase the size of the lot toward the end of the evaluation period, the hockey stick phenomenon
With multiple retailers with different demand curves optimal discount continues to be volume based with the average price charged to the retailers decreasing as the rate of purchase increases
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Price Discrimination to Maximize Supplier Profits
Firm charges differential prices to maximize profits
Setting a fixed price for all units does not maximize profits for the manufacturer
Manufacturer can obtain maximum profits by pricing each unit differently based on customers’ marginal evaluation at each quantity
Quantity discounts are one mechanism for price discrimination because customers pay different prices based on the quantity purchased
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Short-Term Discounting: Trade Promotions
Trade promotions are price discounts for a limited period of time
Key goals
Induce retailers to use price discounts, displays, or advertising to spur sales
Shift inventory from the manufacturer to the retailer and the customer
Defend a brand against competition
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Short-Term Discounting: Trade Promotions
Impact on the behavior of the retailer and supply chain performance
Retailer has two primary options
Pass through some or all of the promotion to customers to spur sales
Pass through very little of the promotion to customers but purchase in greater quantity during the promotion period to exploit the temporary reduction in price (forward buy)
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Forward Buying Inventory Profile
Figure 11-5
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Forward Buy
Costs to be considered – material cost, holding cost, and order cost
Three assumptions
The discount is offered once, with no future discounts
The retailer takes no action to influence customer demand
Analyze a period over which the demand is an integer multiple of Q*
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Forward Buy
Optimal order quantity
Retailers are often aware of the timing of the next promotion
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Impact of Trade Promotions on Lot Sizes
Q* = 6,324 bottles, C = $3 per bottle
d = $0.15, D = 120,000, h = 0.2
Cycle inventory at DO = Q*/2 = 6,324/2 = 3,162 bottles
Average flow time = Q*/2D = 6,324/(2D) = 0.3162 months
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78
Notes:
Optimal order quantity =
Impact of Trade Promotions on Lot Sizes
Cycle inventory at DO = Qd/2 = 38,236/2 = 19,118 bottles
Average flow time = Qd/2D = 38,236/(20,000)
= 1.9118 months
With trade promotions
Forward buy = Qd – Q* = 38,236 – 6,324 = 31,912 bottles
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79
Notes:
Optimal order quantity =
How Much of a Discount Should the Retailer Pass Through?
Profits for the retailer
ProfR = (300,000 – 60,000p)p – (300,000 – 60,000p)CR
Optimal price
p = (300,000 + 60,000CR)/120,000
Demand with no promotion
DR = 30,000 – 60,000p = 60,000
Optimal price with discount
p = (300,000 + 60,000 x 2.85)/120,000 = $3.925
DR = 300,000 - 60,000p = 64,500
Demand with promotion
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Trade Promotions
Trade promotions generally increase cycle inventory in a supply chain and hurt performance
Counter measures
EDLP (every day low pricing)
Discount applies to items sold to customers (sell-through) not the quantity purchased by the retailer (sell-in)
Scan based promotions
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81
Notes:
Managing Multiechelon Cycle Inventory
Multi-echelon supply chains have multiple stages with possibly many players at each stage
Lack of coordination in lot sizing decisions across the supply chain results in high costs and more cycle inventory than required
The goal is to decrease total costs by coordinating orders across the supply chain
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Managing Multiechelon Cycle Inventory
Figure 11-6
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Integer Replenishment Policy
Divide all parties within a stage into groups such that all parties within a group order from the same supplier and have the same reorder interval
Set reorder intervals across stages such that the receipt of a replenishment order at any stage is synchronized with the shipment of a replenishment order to at least one of its customers
For customers with a longer reorder interval than the supplier, make the customer’s reorder interval an integer multiple of the supplier’s interval and synchronize replenishment at the two stages to facilitate cross-docking
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
Integer Replenishment Policy
For customers with a shorter reorder interval than the supplier, make the supplier’s reorder interval an integer multiple of the customer’s interval and synchronize replenishment at the two stages to facilitate cross-docking
The relative frequency of reordering depends on the setup cost, holding cost, and demand at different parties
These polices make the most sense for supply chains in which cycle inventories are large and demand is relatively predictable
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Integer Replenishment Policy
Figure 11-7
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Integer Replenishment Policy
Figure 11-8
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Summary of Learning Objectives
Balance the appropriate costs to choose the optimal lot size and cycle inventory in a supply chain
Understand the impact of quantity discounts on lot size and cycle inventory
Devise appropriate discounting schemes for a supply chain
Understand the impact of trade promotions on lot size and cycle inventory
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
Summary of Learning Objectives
Identify managerial levers that reduce lot size and cycle inventory in a supply chain without increasing cost
Reduce fixed ordering and transportation costs incurred per order
Implement volume-based discounting schemes rather than individual lot size–based discounting schemes
Eliminate or reduce trade promotions and encourage EDLP – base trade promotions on sell-through rather than sell-in to the retailer
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Copyright ©2013 Pearson Education, Inc. publishing as Prentice Hall.
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher.
Printed in the United States of America.
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Cycle inventory = lot size
2 = Q 2
Cycle inventory=
lot size
2
=
Q
2
Average flow time = average inventory average flow rate
Average flow time =
average inventory
average flow rate
= cycle inventory
demand = Q
2D
=
cycle inventory
demand
=
Q
2D
WACC = E
D+ E (Rf + β ×MRP)+
D D+ E
Rb(1– t)
WACC=
E
D+E
(R
f
+b´MRP)+
D
D+E
R
b
(1–t)
Pretax WACC = after-tax WACC / (1– t)
Pretax WACC=after-tax WACC/(1–t)
Annual material cost =CD
Annual material cost=CD
Number of orders per year = D Q
Number of orders per year=
D
Q
Annual ordering cost = D Q ⎛
⎝ ⎜
⎞
⎠ ⎟S
Annual ordering cost=
D
Q
æ
è
ç
ö
ø
÷
S
Annual holding cost = Q 2
⎛
⎝ ⎜
⎞
⎠ ⎟H =
Q 2
⎛
⎝ ⎜
⎞
⎠ ⎟hC
Annual holding cost=
Q
2
æ
è
ç
ö
ø
÷
H=
Q
2
æ
è
ç
ö
ø
÷
hC
Total annual cost, TC =CD+ D Q ⎛
⎝ ⎜
⎞
⎠ ⎟S +
Q 2
⎛
⎝ ⎜
⎞
⎠ ⎟hC
Total annual cost, TC=CD+
D
Q
æ
è
ç
ö
ø
÷
S+
Q
2
æ
è
ç
ö
ø
÷
hC
Chapter 11 • Managing Economies of Scale in a Supply Chain: Cycle Inventory 277
The purchasing manager makes the lot-sizing decision to minimize the total cost the store incurs. He or she must consider three costs when deciding on the lot size:
• Annual material cost • Annual ordering cost • Annual holding cost
Because purchase price is independent of lot size, we have
The number of orders must suffice to meet the annual demand D. Given a lot size of Q, we thus have
(11.3)
Because an order cost of S is incurred for each order placed, we infer that
(11.4)
Given a lot size of Q, we have an average inventory of Q/2. The annual holding cost is thus the cost of holding Q/2 units in inventory for one year and is given as
The total annual cost, TC, is the sum of all three costs and is given as
Figure 11-2 shows the variation in different costs as the lot size is changed. Observe that the annual holding cost increases with an increase in lot size. In contrast, the annual ordering cost declines with an increase in lot size. The material cost is independent of lot size because we have assumed the price to be fixed. The total annual cost thus first declines and then increases with an increase in lot size.
From the perspective of the manager at Best Buy, the optimal lot size is one that minimizes the total cost to Best Buy. It is obtained by taking the first derivative of the total cost with respect to Q and setting it equal to 0 (see Appendix 11A at the end of this chapter). The optimal lot size
Total annual cost, TC = CD + aD Q bS + aQ
2 bhC
Annual holding cost = aQ 2 bH = aQ
2 bhC
Annual ordering cost = aD Q bS
Number of orders per year = D Q
Annual material cost = CD
Cost
Total Cost
Holding Cost
Ordering Cost
Material Cost
Lot Size FIGURE 11-2 Effect of Lot Size on Costs at Best Buy
M11_CHOP3952_05_SE_C11.QXD 11/15/11 7:39 PM Page 277
Optimal lot size, Q* = 2DS hC
Optimal lot size, Q*=
2DS
hC
n* = D Q *
= DhC 2S
n*=
D
Q*
=
DhC
2S
Optimal order size = Q* = 2 ×12,000 × 4,000
0.2 × 500 = 980
Optimal order size=Q*=
2´12,000´4,000
0.2´500
=980
Cycle inventory = Q * 2
= 980
2 = 490
Cycle inventory=
Q*
2
=
980
2
=490
Number of orders per year = D Q *
= 12.24
Number of orders per year=
D
Q*
=12.24
Annual ordering and holding cost = D Q * S +
Q * 2
⎛
⎝ ⎜
⎞
⎠ ⎟hC = 97,980
Annual ordering and holding cost=
D
Q*
S+
Q*
2
æ
è
ç
ö
ø
÷
hC=97,980
Average flow time = Q * 2D
= 490
12,000 = 0.041= 0.49 month
Average flow time=
Q*
2D
=
490
12,000
=0.041=0.49 month
Annual inventory-related costs = D Q * S +
Q * 2
⎛
⎝ ⎜
⎞
⎠ ⎟hC = 250,000
Annual inventory-related costs=
D
Q*
S+
Q*
2
æ
è
ç
ö
ø
÷
hC=250,000
S = hC(Q*)2
2D = 0.2×500×2002
2×12,000 =166.7
S=
hC(Q*)
2
2D
=
0.2´500´200
2
2´12,000
=166.7
QP = 2DS
(1– D / P)hC
Q
P
=
2DS
(1–D/P)hC
D QP ⎛
⎝ ⎜
⎞
⎠ ⎟S
D
Q
P
æ
è
ç
ö
ø
÷
S
(1– D / P) QP
2
⎛
⎝ ⎜
⎞
⎠ ⎟hC
(1–D/P)
Q
P
2
æ
è
ç
ö
ø
÷
hC
Annual holding cost = DLhCL
2n + DMhCM
2n + DHhCH
2n
Annual holding cost=
D
L
hC
L
2n
+
D
M
hC
M
2n
+
D
H
hC
H
2n
S* = S + sL + sM + sH
S*=S+s
L
+s
M
+s
H
Annual order cost = S * n
Annual order cost=S*n
Total annual cost = DLhCL
2n + DMhCM
2n + DHhCH
2n +S * n
Total annual cost=
D
L
hC
L
2n
+
D
M
hC
M
2n
+
D
H
hC
H
2n
+S*n
n* = DLhCL + DMhCM + DHhCH
2S *
n*=
D
L
hC
L
+D
M
hC
M
+D
H
hC
H
2S*
n* = DihCii=1
k ∑ 2S *
n*=
D
i
hC
i
i=1
k
å
2S*
S* = S + sA + sB + sC = $7,000 per order
S*=S+s
A
+s
B
+s
C
=$7,000 per order
n* = 12,000×100+1,200×100+120×100
2×7,000 = 9.75
n*=
12,000´100+1,200´100+120´100
2´7,000
=9.75
S* = S + s1 + s2 + s3 + s4 = $900 per order
S*=S+s
1
+s
2
+s
3
+s
4
=$900 per order
n* = D1hC1i=1
4 ∑ 2S *
= 4×10,000×0.2×50
2×900 =14.91
n*=
D
1
hC
1
i=1
4
å
2S*
=
4´10,000´0.2´50
2´900
=14.91
Annual order cost = 14.91× 900
4 = $3,354
Annual order cost=14.91´
900
4
=$3,354
= hCiQ 2
= 0.2×50× 671 2
= $3,355
=
hC
i
Q
2
=0.2´50´
671
2
=$3,355
ni = hCiDi 2(S + si)
n
i
=
hC
i
D
i
2(S+s
i
)
ni = hCiDi 2si
n
i
=
hC
i
D
i
2s
i
mi = n /ni ⎡ ⎢⎢
⎤ ⎥⎥
m
i
=n/n
i
é
ê
ê
ù
ú
ú
n = hCimiDi=1
l ∑
2 S + si /mii=1 l
∑( )
n=
hC
i
m
i
D
i=1
l
å
2S+s
i
/m
i
i=1
l
å
( )
TC = nS + nisi i=1
l
∑ + Di 2ni
⎛
⎝ ⎜
⎞
⎠ ⎟hC1
i−1
l
∑
TC=nS+n
i
s
i
i=1
l
å
+
D
i
2n
i
æ
è
ç
ö
ø
÷
hC
1
i-1
l
å
nL = hCLDL 2(S + sL)
=11.0
n
L
=
hC
L
D
L
2(S+s
L
)
=11.0
nM = hCMDM 2(S + sM )
= 3.5
n
M
=
hC
M
D
M
2(S+s
M
)
=3.5
nL = hCHDH 2(S + sH)
=1.1
n
L
=
hC
H
D
H
2(S+s
H
)
=1.1
n =11.0
n=11.0
nM = hCMDM
2sM = 7.7 and nH =
hCHDH 2sH
= 2.4
n
M
=
hC
M
D
M
2s
M
=7.7 and n
H
=
hC
H
D
H
2s
H
=2.4
mM = n
nM
⎡
⎢
⎢ ⎢
⎤
⎥
⎥ ⎥ =
11.0 7.7
⎡
⎢ ⎢
⎤
⎥ ⎥= 2 and mH =
n
nH
⎡
⎢
⎢ ⎢
⎤
⎥
⎥ ⎥ =
11.0 2.4
⎡
⎢ ⎢
⎤
⎥ ⎥= 5
m
M
=
n
n
M
é
ê
ê
ê
ù
ú
ú
ú
=
11.0
7.7
é
ê
ê
ù
ú
ú
=2 and m
H
=
n
n
H
é
ê
ê
ê
ù
ú
ú
ú
=
11.0
2.4
é
ê
ê
ù
ú
ú
=5
n =11.47
n=11.47
nL =11.47/ yr
n
L
=11.47/yr
nM =11.47/2= 5.74/ yr
n
M
=11.47/2=5.74/yr
nH =11.47/5 = 2.29/ yr
n
H
=11.47/5=2.29/yr
nS +nLsL +nMsM +nHsH = $65,383.5
nS+n
L
s
L
+n
M
s
M
+n
H
s
H
=$65,383.5
Qi = 2DS hCi
Q
i
=
2DS
hC
i
qi ≤ Qi < qi+1
q
i
£Q
i
<q
i+1
Qi < qi
Q
i
<q
i
Qi ≥ qi+1
Q
i
³q
i+1
Total annual cost, TCi = D Qi
*
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟S +
Qi *
2
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟hCi + DCi
Total annual cost, TC
i
=
D
Q
i
*
æ
è
ç
ç
ö
ø
÷
÷
S+
Q
i
*
2
æ
è
ç
ç
ö
ø
÷
÷
hC
i
+DC
i
C* = 1 D DCr +
DS qr
+ h 2 qrCr – 2hDSCr
⎛
⎝ ⎜
⎞
⎠ ⎟
C*=
1
D
DC
r
+
DS
q
r
+
h
2
q
r
C
r
–2hDSC
r
æ
è
ç
ö
ø
÷
Q0 = 2DS hC0
= 6,324; Q1 = 2DS hC1
= 6,367; Q2 = 2DS hC2
= 6,410
Q
0
=
2DS
hC
0
=6,324; Q
1
=
2DS
hC
1
=6,367; Q
2
=
2DS
hC
2
=6,410
Q1 * = Q1 = 6,367; Q2
* = q2 = 10,000
Q
1
*
=Q
1
=6,367; Q
2
*
=q
2
=10,000
TC1 = D Q1
*
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟S +
Q1 *
2
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟hC1 + DC1 = $358,969; TC2 = $354,520
TC
1
=
D
Q
1
*
æ
è
ç
ç
ö
ø
÷
÷
S+
Q
1
*
2
æ
è
ç
ç
ö
ø
÷
÷
hC
1
+DC
1
=$358,969; TC
2
=$354,520
Q2 * =10,000
Q
2
*
=10,000
Vi =C0(q1 –q0)+C1(q2 –q1)+...+Ci–1(qi –qi–1)
V
i
=C
0
(q
1
–q
0
)+C
1
(q
2
–q
1
)+...+C
i–1
(q
i
–q
i–1
)
Annual order cost = D Q ⎛
⎝ ⎜
⎞
⎠ ⎟S
Annual order cost=
D
Q
æ
è
ç
ö
ø
÷
S
Annual holding cost = Vi + (Q – qi)Ci⎡⎣ ⎤⎦h / 2
Annual holding cost=V
i
+(Q–q
i
)C
i
é
ë
ù
û
h/2
Annual materials cost = D Q Vi + (Q – qi)Ci⎡⎣ ⎤⎦
Annual materials cost=
D
Q
V
i
+(Q–q
i
)C
i
é
ë
ù
û
= D Q ⎛
⎝ ⎜
⎞
⎠ ⎟S + Vi +(Q –qi)Ci⎡⎣ ⎤⎦h / 2
=
D
Q
æ
è
ç
ö
ø
÷
S+V
i
+(Q–q
i
)C
i
é
ë
ù
û
h/2
+ D Q Vi +(Q –qi)Ci⎡⎣ ⎤⎦
+
D
Q
V
i
+(Q–q
i
)C
i
é
ë
ù
û
Optimal lot size for Ci is Qi = 2D(S +Vi – qiCi)
hCi
Optimal lot size for C
i
is Q
i
=
2D(S+V
i
–q
i
C
i
)
hC
i
If qi ≤ Qi ≤ qi+1 then set Qi * = Qi
If q
i
£Q
i
£q
i+1
then set Q
i
*
=Q
i
If Qi < qi then set Qi * = qi
If Q
i
<q
i
then set Q
i
*
=q
i
If Qi > qi+1 then set Qi * = qi+1
If Q
i
>q
i+1
then set Q
i
*
=q
i+1
TCi = D Qi *
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟S + Vi +(Qi
* –qi)Ci ⎡ ⎣
⎤ ⎦h / 2+
D Qi * Vi +(Qi
* –qi)Ci ⎡ ⎣
⎤ ⎦
TC
i
=
D
Q
i
*
æ
è
ç
ç
ö
ø
÷
÷
S+V
i
+(Q
i
*
–q
i
)C
i
é
ë
ù
û
h/2+
D
Q
i
*
V
i
+(Q
i
*
–q
i
)C
i
é
ë
ù
û
V0 = 0; V1 = 3(5,000 – 0) = $15,000 V2 = 3(5,000 – 0) + 2.96(10,000 – 5,000) = $29,800
V
0
=0; V
1
=3(5,000–0)=$15,000
V
2
=3(5,000–0)+2.96(10,000–5,000)=$29,800
Q0 = 2D(S +V0 –q0C0)
hC0 = 6,324
Q
0
=
2D(S+V
0
–q
0
C
0
)
hC
0
=6,324
Q1 = 2D(S +V1 –q1C1)
hC1 =11,028
Q
1
=
2D(S+V
1
–q
1
C
1
)
hC
1
=11,028
Q2 = 2D(S +V2 –q2C2)
hC2 =16,961
Q
2
=
2D(S+V
2
–q
2
C
2
)
hC
2
=16,961
Q0 * = q1 = 5,000 because Q0 = 6,324 > 5,000
Q1 * = q2 = 10,000; Q2 = Q2 = 16,961
Q
0
*
=q
1
=5,000 because Q
0
=6,324>5,000
Q
1
*
=q
2
=10,000; Q
2
=Q
2
=16,961
TC0 = D Q0 *
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟S + V0 +(Q0
* –q0)C 0 ⎡ ⎣
⎤ ⎦h / 2+
D Q0 * V0 +(Q0
* –q0)C0 ⎡ ⎣
⎤ ⎦= $363,900
TC
0
=
D
Q
0
*
æ
è
ç
ç
ö
ø
÷
÷
S+V
0
+(Q
0
*
–q
0
)C
0
é
ë
ù
û
h/2+
D
Q
0
*
V
0
+(Q
0
*
–q
0
)C
0
é
ë
ù
û
=$363,900
TC2 = D Q2 *
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟S + V2 +(Q2
* –q2)C 2 ⎡ ⎣
⎤ ⎦h / 2+
D Q2 * V2 +(Q2
* –q2)C2 ⎡ ⎣
⎤ ⎦= $360,365
TC
2
=
D
Q
2
*
æ
è
ç
ç
ö
ø
÷
÷
S+V
2
+(Q
2
*
–q
2
)C
2
é
ë
ù
û
h/2+
D
Q
2
*
V
2
+(Q
2
*
–q
2
)C
2
é
ë
ù
û
=$360,365
TC1 = D Q1 *
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟S + V1 +(Q1
* –q1)C1 ⎡ ⎣
⎤ ⎦h / 2+
D Q1 * V1 +(Q1
* –q1)C1 ⎡ ⎣
⎤ ⎦= $361,780
TC
1
=
D
Q
1
*
æ
è
ç
ç
ö
ø
÷
÷
S+V
1
+(Q
1
*
–q
1
)C
1
é
ë
ù
û
h/2+
D
Q
1
*
V
1
+(Q
1
*
–q
1
)C
1
é
ë
ù
û
=$361,780
QR = 2DSR hRCR
= 2×120,000×100
0.2×3 = 6,324
Q
R
=
2DS
R
h
R
C
R
=
2´120,000´100
0.2´3
=6,324
Annual cost for DO = D QR
⎛
⎝ ⎜
⎞
⎠ ⎟SR +
QR 2
⎛
⎝ ⎜
⎞
⎠ ⎟hRCR = $3,795
Annual cost for DO=
D
Q
R
æ
è
ç
ö
ø
÷
S
R
+
Q
R
2
æ
è
ç
ö
ø
÷
h
R
C
R
=$3,795
Annual cost for manufacturer = D QR
⎛
⎝ ⎜
⎞
⎠ ⎟SM +
QR 2
⎛
⎝ ⎜
⎞
⎠ ⎟hMCM = $6,009
Annual cost for manufacturer=
D
Q
R
æ
è
ç
ö
ø
÷
S
M
+
Q
R
2
æ
è
ç
ö
ø
÷
h
M
C
M
=$6,009
= D Q ⎛
⎝ ⎜
⎞
⎠ ⎟SR +
Q 2
⎛
⎝ ⎜
⎞
⎠ ⎟hRCR +
D Q ⎛
⎝ ⎜
⎞
⎠ ⎟SM +
Q 2
⎛
⎝ ⎜
⎞
⎠ ⎟hMCM
=
D
Q
æ
è
ç
ö
ø
÷
S
R
+
Q
2
æ
è
ç
ö
ø
÷
h
R
C
R
+
D
Q
æ
è
ç
ö
ø
÷
S
M
+
Q
2
æ
è
ç
ö
ø
÷
h
M
C
M
Q* = 2D(SR +SM ) hRCR +hMCM
= 9,165
Q*=
2D(S
R
+S
M
)
h
R
C
R
+h
M
C
M
=9,165
Annual cost for DO = D Q * ⎛
⎝ ⎜
⎞
⎠ ⎟SR +
Q * 2
⎛
⎝ ⎜
⎞
⎠ ⎟hRCR = $4,059
Annual cost for DO=
D
Q*
æ
è
ç
ö
ø
÷
S
R
+
Q*
2
æ
è
ç
ö
ø
÷
h
R
C
R
=$4,059
Annual cost for manufacturer = D Q * ⎛
⎝ ⎜
⎞
⎠ ⎟SM +
Q * 2
⎛
⎝ ⎜
⎞
⎠ ⎟hMCM = $5,106
Annual cost for manufacturer=
D
Q*
æ
è
ç
ö
ø
÷
S
M
+
Q*
2
æ
è
ç
ö
ø
÷
h
M
C
M
=$5,106
ProfR = (p–CR)(360,000–60,000p) ProfM = (CR –CM )(360,000–60,000p)
Prof
R
=(p–C
R
)(360,000–60,000p)
Prof
M
=(C
R
–C
M
)(360,000–60,000p)
p = 3+ CR 2
p=3+
C
R
2
ProfM = (CR –CM ) 360,000–60,000 3+ CR 2
⎛
⎝ ⎜
⎞
⎠ ⎟
⎛
⎝ ⎜⎜
⎞
⎠ ⎟⎟
Prof
M
=(C
R
–C
M
)360,000–60,0003+
C
R
2
æ
è
ç
ö
ø
÷
æ
è
ç
ç
ö
ø
÷
÷
= (CR –2)(180,000–30,000CR)
=(C
R
–2)(180,000–30,000C
R
)
p = 3+ CM 2
= 3+ 2 2 = $4
p=3+
C
M
2
=3+
2
2
=$4
Qd = dD
(C –d)h + CQ * C –d
Q
d
=
dD
(C–d)h
+
CQ*
C–d
Forward buy = Qd – Q *
Forward buy=Q
d
–Q*
Qd = dD
(C –d)h + CQ * C –d
Q
d
=
dD
(C–d)h
+
CQ*
C–d
= 0.15×120,000
(3.00–0.15)×0.20 + 3×6,324 3.00–0.15
= 38,236
=
0.15´120,000
(3.00–0.15)´0.20
+
3´6,324
3.00–0.15
=38,236
0
05
240
000
1
00
0
05
0
25
1
240
000
1
00
0
05
71
579
.
,
(
.
.
)
.
,
.
.
,
´
-
´
+
´
-
=
Chapter 11 • Managing Economies of Scale in a Supply Chain: Cycle Inventory 307
• For customers with a longer reorder interval than the supplier, make the customer’s reorder interval an integer multiple of the supplier’s interval and synchronize replenishment at the two stages to facilitate cross-docking. In other words, a supplier should cross-dock all orders from customers who reorder less frequently than the supplier.
• For customers with a shorter reorder interval than the supplier, make the supplier’s reorder interval an integer multiple of the customer’s interval and synchronize replenishment at the two stages to facilitate cross-docking. In other words, a supplier should cross-dock one out of every k shipments to a customer who orders more frequently than the supplier, where k is an integer.
• The relative frequency of reordering depends on the setup cost, holding cost, and demand at different parties.
Whereas the integer policies discussed above synchronize replenishment within the supply chain and decrease cycle inventories, they increase safety inventories , because of the lack of flexi- bility with the timing of a reorder, as discussed in Chapter 12. Thus, these polices make the most sense for supply chains in which cycle inventories are large and demand is relatively predictable.
11.7 SUMMARY OF LEARNING OBJECTIVES
1. Balance the appropriate costs to choose the optimal lot size and cycle inventory in a supply chain. Cycle inventory generally equals half the lot size. Therefore, as the lot size grows, so does the cycle inventory. In deciding on the optimal amount of cycle inventory, the supply chain
Group of Customers
Stage 1
Stage 2
Stage 3
Stage 4
Stage 5
FIGURE 11-8 A Multiechelon Distribution Supply Chain
Key Point
Integer replenishment policies can be synchronized in multiechelon supply chains to keep cycle inventory and order costs low. Under such policies, the reorder interval at any stage is an integer multiple of a base reorder interval. Synchronized integer replenishment policies facilitate a high level of cross-docking across the supply chain.
M11_CHOP3952_05_SE_C11.QXD 11/15/11 7:39 PM Page 307