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Cost Accounting (14th Edition)

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406 CHAPTER 11 DECISION MAKING AND RELEVANT INFORMATION<br />

Snowmobile Engine Boat Engine<br />

Contribution margin per unit $240 $375<br />

Machine-hours required to produce one unit 2 machine-hours 5 machine-hours<br />

Contribution margin per machine-hour<br />

$240 per unit ÷ 2 machine-hours/unit $120/machine-hour<br />

$375 per unit ÷ 5 machine-hours/unit $75/machine-hour<br />

Total contribution margin for 600 machine-hours<br />

$120/machine-hour * 600 machine-hours $72,000<br />

$75/machine-hour * 600 machine-hours<br />

$45,000<br />

Decision<br />

Point<br />

When resources are<br />

constrained, how<br />

should managers<br />

choose which of<br />

multiple products to<br />

produce and sell?<br />

Learning<br />

Objective 5<br />

Discuss factors<br />

managers must<br />

consider when adding<br />

or dropping customers<br />

or segments<br />

. . . managers should<br />

focus on how total costs<br />

differ among alternatives<br />

and ignore allocated<br />

overhead costs<br />

The number of machine-hours is the constraining resource in this example and snowmobile<br />

engines earn more contribution margin per machine-hour ($120/machine-hour)<br />

compared to boat engines ($75/machine-hour). Therefore, choosing to produce and sell<br />

snowmobile engines maximizes total contribution margin ($72,000 versus $45,000<br />

from producing and selling boat engines) and operating income. Other constraints in<br />

manufacturing settings can be the availability of direct materials, components, or<br />

skilled labor, as well as financial and sales factors. In a retail department store, the constraining<br />

resource may be linear feet of display space. Regardless of the specific constraining<br />

resource, managers should always focus on maximizing total contribution<br />

margin by choosing products that give the highest contribution margin per unit of the<br />

constraining resource.<br />

In many cases, a manufacturer or retailer has the challenge of trying to maximize<br />

total operating income for a variety of products, each with more than one constraining<br />

resource. Some constraints may require a manufacturer or retailer to stock minimum<br />

quantities of products even if these products are not very profitable. For<br />

example, supermarkets must stock less-profitable products because customers will be<br />

willing to shop at a supermarket only if it carries a wide range of products that customers<br />

desire. To determine the most profitable production schedule and the most<br />

profitable product mix, the manufacturer or retailer needs to determine the maximum<br />

total contribution margin in the face of many constraints. Optimization techniques,<br />

such as linear programming discussed in the appendix to this chapter, help solve these<br />

more-complex problems.<br />

Finally, there is the question of managing the bottleneck constraint to increase output<br />

and, therefore, contribution margin. Can the available machine-hours for assembling<br />

engines be increased beyond 600, for example, by reducing idle time? Can the time<br />

needed to assemble each snowmobile engine (two machine-hours) and each boat engine<br />

(five machine-hours) be reduced, for example, by reducing setup time and processing time<br />

of assembly? Can quality be improved so that constrained capacity is used to produce<br />

only good units rather than some good and some defective units? Can some of the assembly<br />

operations be outsourced to allow more engines to be built? Implementing any of<br />

these options will likely require Power Recreation to incur incremental costs. Power<br />

Recreation will implement only those options where the increase in contribution margins<br />

exceeds the increase in costs. Instructors and students who, at this point, want to explore<br />

these issues in more detail can go to the section in Chapter 19, pages 686–688, titled<br />

“Theory of Constraints and Throughput Contribution Analysis” and then return to this<br />

chapter without any loss of continuity.<br />

Customer Profitability, Activity-Based <strong>Cost</strong>ing,<br />

and Relevant <strong>Cost</strong>s<br />

Not only must companies make choices regarding which products and how much of<br />

each product to produce, they must often make decisions about adding or dropping a<br />

product line or a business segment. Similarly, if the cost object is a customer, companies<br />

must make decisions about adding or dropping customers (analogous to a product line)<br />

or a branch office (analogous to a business segment). We illustrate relevant-revenue and

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