Wendell Motors manufactures and ships small electric motors and drives to a variety of industrial and commercial
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As part of its ongoing commitment to lean manufacturing and continuous process improvement, Wendell carefully monitors the cost associated with both production and shipping. The manager of shipping for Wendell, Tyler Jenkins, regularly reports the ship-ping costs to Wendell’s management team. Because few finished goods inventories are maintained, competitive delivery times often require that Wendell expedite shipments. This is almost always the case for those customers who operate their business around the clock every day of the week. Such customers might maintain their own backup safety stock of a particular motor or drive, but circumstances often result in cases where replacement products have to be rushed through production and then expedited to the customer.
Wendell’s management team wondered if these special orders were too expensive to handle in this way and if it might be less expensive to produce and hold certain motors as finished goods inventory, enabling off-the-shelf delivery using less expensive modes of shipping. This might especially be true for orders that must be filled on a holiday, incurring an additional shipping charge. At the last meeting of the management team, Tyler Jenkins was asked to analyze expedited shipping costs and to develop a model that could be used to estimate the cost of expediting a customer’s order.
Donna Layton, an industrial engineer in the plant, was asked to prepare an inventory cost analysis to determine the expenses of holding additional finished goods inventory. Tyler began his analysis by randomly selecting 45 expedited shipping records. The sampled data can be found in the file Wendell Motors. The management team expects a full report in five days. Tyler knew he would need a model for explaining shipping costs for expedited orders and that he would also need to answer the questions as to what effect, if any, shipping on a holiday had on costs.
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Related Book For
Business Statistics A Decision Making Approach
ISBN: 9780133021844
9th Edition
Authors: David F. Groebner, Patrick W. Shannon, Phillip C. Fry
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