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CASE STUDY DETAILS Major Electronics is a multi-plant assembler of computers and computer products. It has 40 plants located in southern Ontario and greater Montreal.

CASE STUDY DETAILS

Major Electronics is a multi-plant assembler of computers and computer products. It has 40 plants located in southern Ontario and greater Montreal. In recent years, there have been concerns that its traditional method for allocating manufacturing overhead (MOH) is no longer relevant. Direct labour costs now average 6 percent of manufacturing costs for its 40 plants, with 55 percent for direct materials, and 39 percent for manufacturing overhead. Accounting Costing: The corporate management accounting branch is investigating alternative cost drivers. MOH is divided into three groups: procurement. production, and support. The standard chart of accounts for Major further classifies these costs into sub-classes (see Exhibit 1), which are ranked in order of importance. The corporate management accounting branch surveyed manufacturing managers at all 40 plants to obtain a list of the most important cost drivers for MOH

With these cost drivers, an analysis was done to ascertain their correlation coefficient (r) with MOH in total and each of the three major groups. Each r is shown in Exhibit 2. These results were presented to a group of plant managers that was formed to provide advice to the corporate management accounting branch on the development of alternative cost drivers. The committee was not surprised at the correlations. However, they had two concerns that could not be immediately resolved. First. the committee was unclear about how a positive r in regression analysis implied that the respective costs were driven by a cost driver. With regression analysis, there is a constant (or alpha or intercept) and a slope (or beta). The slope coefficient is comparable to variable costs per unit of the cost driver. The constant is comparable to the fixed costs. Many members of the advisory group were puzzled about whether total indirect costs from a pool should be allocated, or just the variable costs. Second, some overhead costs have been incurred for capacities much greater than current production. For example, in most plants the materials specifications u nits operate at 50 percent of their full capacity. Many members thought underutilized capacity should not be allocated to existing products. It was thought that this would not be fair when facing competitors that were operating at full capacity.

Issues:

1. To refine their cost allocation method, the company has analyzed various cost drivers and their correlation with MOH. However, the advisory group is struggling with the interpretation of these correlation coefficients. The committee was unclear about how a positive r in regression analysis implied that the respective costs were driven by a cost driver.

2. When it comes to allocating costs,many members of the advisory group are concerned about whether both fixed and variable indirect costs from a pool should be allocated, or it should involve allocating only the variable portion of the indirect costs.

3. There are concerns that some overhead costs have been incurred for capacities much greater than current production. In such cases, the overhead costs associated with excess capacity might be spread out among the products being produced, even though the actual capacity being utilized is significantly lower.

Given the following issues, what alternatives can be done?

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