MRP at Wheeled Coach

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Wheeled Coach is the world’s largest ambulance manufacturer. With multiple different products and around 3000 different raw materials there is huge potential for operating failures. In 1994 Wheeled Coach implemented a new MRP system called MAPICS. They hoped that by doing this that they would gain better control of their excess inventory that was becoming overwhelming. Wheeled Coach is extremely successful in its industry, because of two main reasons. Firstly, the quality of the product that they produce is above any beyond any of their competitors. Secondly, Wheeled Coach is well known for its timely delivery. The combination of quality and timeliness has resulted in exceptional customer service that as a result has generated many customers for life. However, not everything at wheeled coach was operating so perfectly. As mentioned earlier Wheeled Coach had a major problem in excess inventory. One reason for this was that their bill of materials accuracy was way below standard. When orders were received by Wheeled Coach, the list that tells them the multiple different parts required to make the particular model of ambulance that was ordered, was listing incorrect components. Due to this mistake, a domino effect caused purchase order inaccuracy, as orders are placed according to the bill of materials. Before Wheeled Coach was able to realize that this was an issue they had stock piled copious amounts of excess materials that were not needed in current orders. The final operating failure that Wheeled Coach is experiencing is a different matter entirely. Sales forecasting is not linked to bill of material accuracy or purchase order accuracy, but Wheeled Coach’s inability to estimate their future sales has contributed to the increase ... ... middle of paper ... ...than their current supplier. By decreasing their lead times, they would not have to buy materials for orders as far into the future as they do right now. While improving their forecasting process is extremely important, shortening lead times would lessen the extent of excess inventory. For instance, imagine that every month your forecasting is incorrect by two ambulances. With a lead time of six months for aluminum, you would order 12 ambulances worth of extra aluminum that would sit in excess inventory for that period of time. However, if you can shorten that lead time to four months, you only have 8 ambulances worth of surplus aluminum. This example does not take into account an improvement in forecasting. If both forecasting and the materials supply chain could be controlled better, Wheeled Coach has the potential to lower its spare inventory significantly.

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