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Production Models: Maximizing Profits
"... As we saw in the Introduction, mathematical programming is a technique for solving certain kinds of optimization problems — maximizing profit, minimizing cost, etc. — subject to constraints on resources, capacities, supplies, demands, and the like. AMPL is a language for specifying such mathematical ..."
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As we saw in the Introduction, mathematical programming is a technique for solving certain kinds of optimization problems — maximizing profit, minimizing cost, etc. — subject to constraints on resources, capacities, supplies, demands, and the like. AMPL is a language for specifying
Production Models: Maximizing Profits
"... As we stated in the Introduction, mathematical programming is a technique for solving certain kinds of problems — notably maximizing profits and minimizing costs — subject to constraints on resources, capacities, supplies, demands, and the like. AMPL is a language for specifying such optimization pr ..."
Abstract
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As we stated in the Introduction, mathematical programming is a technique for solving certain kinds of problems — notably maximizing profits and minimizing costs — subject to constraints on resources, capacities, supplies, demands, and the like. AMPL is a language for specifying such optimization
Maximizing profit using recommender systems
"... Traditional recommendation systems make recommendations based solely on the customer’s past purchases, product ratings and demographic data without considering the profitability of the items being recommended. In this work we consider the question of how a vendor can directly incorporate the profita ..."
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Cited by 5 (0 self)
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the profitability of items into its recommendation system so as to maximize expected profit while still providing accurate recommendations. Our approach uses the output of any traditional recommender system and adjusts it according to item profitability. Our approach is parametrized so the vendor can control
Maximizing profits of routing in WDM networks
 Journal of Combinatorial Optimization
, 2005
"... Abstract. Let G = (V, E)bearing (or chain) network representing an optical wavelength division multiplexing (WDM) network with k channels, where each edge e j has an integer capacity c j.Arequest {si, ti} is a pair of two nodes in G.Givenm requests {si, ti}, i = 1, 2,...,m, each with a profit value ..."
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pi,wewould like to design/route a kcolorable set of paths for some (may not be all) of the m requests such that each edge e j in G is used at most c j times and the total profit of the set of designed paths is maximized. Here two paths cannot have the same color (channel) if they share some common
Why firms should not always maximize profits
 Journal of Business Ethics
, 2007
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MPIS: Maximalprofit item selection with crossselling considerations
 in: IEEE International Conference on Data Mining (ICDM
, 2003
"... In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can aid in more specific targets. In this paper, one of the applications for association rules maximalprofit item selection ..."
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Cited by 8 (0 self)
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In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can aid in more specific targets. In this paper, one of the applications for association rules maximalprofit item
Do Profit Maximizers Maximize Profit?: Divergence of Objective and Result in Oligopoly∗
, 2003
"... This paper presents an nfirm Cournot oligopoly model in which each firm’s objective is to maximize the weighted average of profit and another factor such as revenue. Firms whose realized profits are the largest are not generally those that have the profit maximization objective. The basic model is ..."
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This paper presents an nfirm Cournot oligopoly model in which each firm’s objective is to maximize the weighted average of profit and another factor such as revenue. Firms whose realized profits are the largest are not generally those that have the profit maximization objective. The basic model
Using Fuzzy Control to Maximize Profits in Service Level Management
, 2002
"... this paper we propose a profitoriented feedback control system that automates the admission control decisions in a way that balances the loss of revenue due to rejected work against the penalties incurred if admitted work has excessive response times. One approach to making these tradeoffs ..."
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Cited by 18 (0 self)
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offs is to employ classical control theory (e.g., proportional integral controllers); however, doing so requires a laborintensive design process that tailors the controller to a specific workload and profit model. Instead, we develop a fuzzy control algorithm that implements hill climbing logic to maximize
Maximizing Profit in an Autonomic Computing System: A Fuzzy Control approach
"... Abstract—eCommerce is an area where an Autonomic Computing system could be very effectively deployed. The growth of eCommerce has created demand for services with financial incentives for service providers. Revenues accrue if the admitted requests are processed within the specified deadline and cost ..."
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and costs are incurred if the admitted requests are not processed within the deadline. The number of requests to be admitted depends on system capacity and workload. This paper describes an approach to automate the admission control decisions in an Apache web server for maximizing profit. A fuzzy controller
Results 1  10
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