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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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D- Assumption 1000 pairs of jeans are steady.

https://www.youtube.com/watch?v=rYvzM_tayY4&t=41s

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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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Holding cost and ordering cost = total cost

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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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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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Notes:

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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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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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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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