Here is the synopsis of our sample research paper on PLANNING AND CONTROLING THE SUPPLY CHAIN -- MOTOROLA. Have the paper e-mailed to you 24/7/365.
Essay / Research Paper Abstract
This 7-page paper discusses supply chain management and planning, using Motorola Inc.'s CGIS division as an example. Bibliography lists 3 sources.
Page Count:
7 pages (~225 words per page)
File: D0_MTmotofore.rtf
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Unformatted sample text from the term paper:
companys ability to focus on various factors (such as production and logistics) to meet ever-changing supplier and customer demand. But what tools would a company like Motorola CGIS use to
obtain the goal of quality and continuous improvement? Motorola has a very strong customer service mission, and as a winner of
the Baldridge Award, it has taken customer satisfaction very seriously. One way in which the company does this is through predicting customer demand nad trying to meet that demand.
Well take a look at this by analyzing the forecasting techniques the company could have used, how the company might have prepared its
budget, and how it might have used a Materials Requirements Planning (MRP) system. The Need To Forecast Companies dedicated to quality and
continuous improvement have to have a crystal ball -- in other words, they need to understand what resources will be available in the future to meet customer demand. In a
logistics situation, there are four forecasting methods when it comes to the supply chain -- qualitative, time series, causal and simulation (About.com, 2008). Qualitative forecasting tends to come from an
experts intuition, based on industry and customer preferences and previous performance data (About.com, 2008). Time series forecasting focuses on historical demand to predict figure demand (About.com, 2008). Causal forecasting correlates
one or more variables to a demand forecast (About.com, 2008). In other words, outside variables, such as economic variables, will provide information for a causal forecast.
Finally, simulation forecasting, which requires special-purpose computer programming, allows the company to answer "what-if" scenarios (About.com, 2008). For example, what the impact on a demand would
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