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Business, general

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Managing demand variations with safety stock

Article Abstract:

An effective calculation of safety stock based on demand variations leads to improvement of customer satisfaction and loyalty. Study shows that effective safety stock calculations help in the efficient analysis of strategic buffer system involving customer and forecasted demands. Usage of classical statistical theories, such as Mean Absolute Deviation (MAD) and Time-Based MAD, are effective tools in the creation of safety stock calculations since they test statistical applications in terms of error measure and time-based deviation.

Author: Krupp, James A.G.
Publisher: Graceway Publishing Company Inc.
Publication Name: Journal of Business Forecasting
Subject: Business, general
ISSN: 0278-6087
Year: 1997
Research, Analysis, Buffer stocks

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How to set up a forecasting system in telecommunications industry

Article Abstract:

Data availability, forecasting method and decision-making system are some of the factors to be considered when establishing an effective forecasting system in telecommunications industry. With regards to decision-making system, listing and describing all decisions and actions influenced by the forecasts and the people involved have to be undertaken by firms to ensure the effectiveness of forecasts. These steps eliminates fundamental flaws in the decision systems or organizational structure.

Author: Chandler, Gwenocia
Publisher: Graceway Publishing Company Inc.
Publication Name: Journal of Business Forecasting
Subject: Business, general
ISSN: 0278-6087
Year: 1999
COMMUNICATION, Communications, Broadcasting and Telecommunications, Telecommunications services industry, Telecommunications industry, Forecasting

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Synchronizing supply chain operations with consumer demand using customer data

Article Abstract:

The best way to align supply chain operations with consumer needs is through the use of demand planning systems that make use of forecasts arising from point-of-sale data (POS). Typically, POS data is more reliable than any other type of customer demand data. During instances where the vendor fails to obtain POS data, they could use customer order history as an alternative for independent demand. This data, however, are preferred when it comes to forecasting consumer demand.

Author: Kiely, Daniel A.
Publisher: Graceway Publishing Company Inc.
Publication Name: Journal of Business Forecasting
Subject: Business, general
ISSN: 0278-6087
Year: 1998
Electronic computers, Electronic Computer Manufacturing, Consumer Behavior, Point-of-Sale Systems, Forecasts and trends, Consumption (Economics), Distribution of goods, Distribution (Commerce), Industrial suppliers, Production (Economics), Point of sale systems

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Subjects list: Business forecasting, Inventories, Demand (Economics), Management
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