Designing telecommunications networks for the reseller market
Article Abstract:
Resellers of long distance services are presented with an algorithm for reducing monthly telecommunications network costs in which the most financially feasible combination of lines is chosen to meet a targeted service grade fixed at an average one percent rate of blockage during the busy hour. Reduction in costs of over 18%, or $30,000 per month, is feasible through periodic trunk group size adjustments suited to forecast demand. Blockage for Poisson arrivals was calculated using the Erlang loss formula while peak input traffic was determined using Wilkinson's equivalent random theory. SLAM II simulated the network to provide a greater understanding of the usage and accuracy of the algorithm. The network of the National Telecommunications of Austin was used for testing the algorithm.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1991
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A multiobjective methodology for selecting subsystem automation options
Article Abstract:
Large-scale systems design must meet demands for analytic tractability and achieve optimality objectives, and this difficulty may be increased when technological innovations are involved. In this study the large set of system variables requires a system decomposition to permit analysis of each constituent of the planned system. A multiobjective methodology is developed and implemented to demonstrate selecting subsystem automation options, utilizing the U.S. Space Station program as the focus of the formal problem statement. The methodology and the multiobjective integer programming algorithm are discussed. Automation options for the Space Station's power subsystems are used as an example to demonstrate the methodology. Results and implications are reviewed.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1986
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Developing competitive strategies for buyer-supplier negotiations
Article Abstract:
The relationships between buyer and supplier in bargaining sessions are analyzed, using differential game theory. Two situations are addressed: one in which buyer and supplier attempt to achieve their respective goals cooperatively, and one in which the negotiations are adversarial. In both cases, the negotiators try to maximize their positions with minimum costs. This is quantified by closed form solutions covering numerous variations in the negotiation strategies. Methodologies used include pareto-optimality, Nash equilibria, and sufficiency conditions.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1987
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