Forecasting of Regional Demand for Telephone Services
Author | : Yang-kim Lim |
Publisher | : |
Total Pages | : 324 |
Release | : 1979 |
Genre | : Economic forecasting |
ISBN | : |
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Author | : Yang-kim Lim |
Publisher | : |
Total Pages | : 324 |
Release | : 1979 |
Genre | : Economic forecasting |
ISBN | : |
Author | : Surachai Pattanajidvilai |
Publisher | : |
Total Pages | : 442 |
Release | : 1980 |
Genre | : Supply and demand |
ISBN | : |
Author | : Paul N. Rappoport |
Publisher | : |
Total Pages | : 448 |
Release | : 1977 |
Genre | : Communication, International |
ISBN | : |
Author | : David G. Loomis |
Publisher | : Springer Science & Business Media |
Total Pages | : 272 |
Release | : 2012-12-06 |
Genre | : Business & Economics |
ISBN | : 1461546435 |
The aim of this book, Future of the Telecommunications Industry: Forecasting and Demand Analysis, is to describe leading research in the area of empirical telecommunications demand analysis and forecasting in the light of tremendous market and regulatory changes. Its purpose is to educate the reader about how traditional analytic techniques can be used to assess new telecommunications products and how new analytic techniques can better address existing products. The research presented focuses on new products such as Internet access and additional lines and new techniques such as hazard modeling, adaptive forecasting and neural networks. The scope of this volume includes new telecommunications products, new analytical techniques, and a review of market changes in the US and other countries. Some of the most critical questions facing the industry are addressed here, such as the impact of competition, customer churn, rate re-balancing, and early assessment of new products. The research includes a variety of different countries, products and analytic tools.
Author | : International Telegraph and Telephone Consultative Committee |
Publisher | : |
Total Pages | : 230 |
Release | : 1983 |
Genre | : Artificial satellites in telecommunication |
ISBN | : |
Business services via satellite, capacity of INTELSAT satellites, modulation, multiple access system, quality of satellite circuits, integration of a satellite system in the existing network, earth station, operation, maintenance, cost of a satellite communications network, international coordination, legal aspects.
Author | : Kathleen Marie Painter |
Publisher | : |
Total Pages | : 54 |
Release | : 1999 |
Genre | : Bus lines |
ISBN | : |
Author | : National University of Singapore |
Publisher | : |
Total Pages | : 848 |
Release | : 1980 |
Genre | : |
ISBN | : |
Author | : Durga N. Bhatt |
Publisher | : |
Total Pages | : 0 |
Release | : 1978 |
Genre | : Telecommunication |
ISBN | : |
Abstract. Forecasts serve many useful purposes within the highly capital intensive telecommunications industry. The specific function of the forecasting system outlined herein is to forecast the net annual gain in the subscriber loop demand to enable a telecommunications company to optimally add additions to the system. The model utilizes two different approaches, one for the short range forecast, and one for the long range forecast. The short range forecast is for a period of three years and is based on a combination of opinion polling and time series analysis using the Box-Jenkins methodology. For long range forecasting a logistics model is used to forecast the maximum development level within the switching center area and the time of its ocurrence.
Author | : Ashish Koul |
Publisher | : |
Total Pages | : 53 |
Release | : 2014 |
Genre | : |
ISBN | : |
Verizon Wireless maintains a call center infrastructure employing more than 15,000 customer care representatives across the United States. The current resource management process requires a lead time of several months to hire and train new staff for the customer rep position. To ensure that call center resources are balanced with customer demand, an accurate forecast of incoming call volume is required months in advance. The standard forecasting method used at Verizon relies on an analysis of aggregate call volume. By analyzing the growth trend of the customer base and the month-upon-month seasonal fluctuations within each year, the total incoming call volume is predicted several months in advance. While this method can yield solid results, it essentially groups all customers into a single category and assumes uniform customer behavior. Given the size of the Verizon customer base, forecast inaccuracy in the current process can lead to resource allocation errors on the order of tens of thousands of labor hours per month. This thesis proposes a call forecasting model which segments customers according to wireless device type. By taking into consideration customer behavior on a per device basis and accounting for the continuous churn in mobile devices, there is the potential to create a forecasting tool with better accuracy. For each device model, future call volumes are estimated based upon projected device sales and observed customer behavior. Aggregate call volume is determined as the sum across all device models. Linear regression methods are employed to construct forecast models for each of the top 20 mobile devices (those which generate the most customer service calls) using historical device data. The aggregate call volume forecast for these top 20 devices is benchmarked against the standard forecast currently in use at Verizon to validate the reliability of the new approach. Furthermore, device-oriented analytics processes developed for this project will enable Verizon to build a rich library of device data without additional staff or resource investments. By incorporating device-oriented data analysis into the call volume forecasting process, Verizon Wireless hopes to improve forecast accuracy and staff planning, effectively maintaining service levels while reducing overall staffing costs at call centers.