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Operations and Supply Chain Management The Core

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INVENTORY MANAGEMENT chapter 11 373

Relevant Costs in a Three-Price-Break Model exhibit 11.10

Q = 632

WHERE

C = $5

Q = 667

WHERE

C = $4.50

Q = 716

WHERE

C = $3.90 PRICE BREAK 1,000

Holding cost ​ _

(

​ Q 2 ​iC​ ) ​ ​667 ____ ​(0.20)4.50 = $300.15​ ​1,000 _____ ​(0.20)3.90 = $390​

2 2

Ordering cost ​ (

​ D _

Q ​S​ ) ​

Not

feasible

​__________

10,000(20) ​= $299.85​

667

Not

feasible

​__________

10,000(20) ​= $200​

1,000

Holding and ordering cost $600.00 $590

Item cost (DC) 10,000(4.50) 10,000(3.90)

Total cost $45,600 $39,590

and

Solving for the economic order size, we obtain

____

​Q = ​ √

​ ____ 2DS

iC ​

@C = $3.90, Q = 716 Not feasible

@C = $4.50, Q = 667 Feasible, cost = $45,600

Check Q = 1,000, Cost = $39,590 Optimal solution

[11.15]

In Exhibit 11.10, which displays the cost relationship and order quantity range, note that most of

the order quantity–cost relationships lie outside the feasible range and that only a single, continuous

range results. This should be readily apparent because, for example, the first order quantity specifies

buying 632 units at $5.00 per unit. However, if 632 units are ordered, the price is $4.50, not $5.00.

The same holds true for the third order quantity, which specifies an order of 716 units at $3.90 each.

This $3.90 price is not available on orders of less than 1,000 units.

Exhibit 11.10 itemizes the total costs at the economic order quantities and at the price breaks. The

optimal order quantity is shown to be 1,000 units.

One practical consideration in price-break problems is that the price reduction from volume

purchases frequently makes it seemingly economical to order amounts larger than

the Q opt . Thus, when applying the model, we must be particularly careful to obtain a valid

estimate of product obsolescence and warehousing costs.

INVENTORY PLANNING AND ACCURACY

Maintaining inventory through counting, placing orders, receiving stock, and so on takes

personnel time and costs money. When there are limits on these resources, the logical

move is to try to use the available resources to control inventory in the best way. In other

words, focus on the most important items in inventory.

In the nineteenth century, Villefredo Pareto, in a study of the distribution of wealth in

Milan, found that 20 percent of the people controlled 80 percent of the wealth. This logic

of the few having the greatest importance and the many having little importance has been

broadened to include many situations and is termed the Pareto principle. This is true in

our everyday lives (most of our decisions are relatively unimportant, but a few shape our

LO11–3 Analyze

inventory using the

Pareto principle.

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