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Forecast Horizons in the Discounted Dynamic Lot Size Model
Chand, Suresh - 2017
We derive a sharp upper bound on the minimal forecast horizon in the discounted dynamic lot size model with constant initial demand. This bound is given by m(m 1), where m is the EOQ's worth, i.e., the number of periods for which the total demand equals Economic Order Quantity. Our results do...
Persistent link: https://www.econbiz.de/10012706709
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Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
Das, Sanjiv R.; Chen, Mike Y. - In: Management Science 53 (2007) 9, pp. 1375-1388
sentiment from stock message boards. The algorithm comprises different classifier algorithms coupled together by a voting scheme …
Persistent link: https://www.econbiz.de/10009197464
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Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming
Cui, Geng; Wong, Man Leung; Lui, Hon-Kwong - In: Management Science 52 (2006) 4, pp. 597-612
Machine learning methods are powerful tools for data mining with large noisy databases and give researchers the opportunity to gain new insights into consumer behavior and to improve the performance of marketing operations. To model consumer responses to direct marketing, this study proposes...
Persistent link: https://www.econbiz.de/10009208867
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Prognosis Using an Isotonic Prediction Technique
Ryu, Young U.; Chandrasekaran, R.; Jacob, Varghese - In: Management Science 50 (2004) 6, pp. 777-785
Outcome prediction based on historical data has been of practical and theoretical interest in many disciplines. A common type of outcome prediction is binary or discrete outcome prediction, as found in medical diagnosis and firm bankruptcy prediction. The prediction problem studied in this paper...
Persistent link: https://www.econbiz.de/10009209262
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Active Feature-Value Acquisition
Saar-Tsechansky, Maytal; Melville, Prem; Provost, Foster - In: Management Science 55 (2009) 4, pp. 664-684
Most induction algorithms for building predictive models take as input training data in the form of feature vectors. Acquiring the values of features may be costly, and simply acquiring all values may be wasteful or prohibitively expensive. Active feature-value acquisition (AFA) selects features...
Persistent link: https://www.econbiz.de/10009214255
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Manipulation Robustness of Collaborative Filtering
Roy, Benjamin Van; Yan, Xiang - In: Management Science 56 (2010) 11, pp. 1911-1929
A collaborative filtering system recommends to users products that similar users like. Collaborative filtering systems influence purchase decisions and hence have become targets of manipulation by unscrupulous vendors. We demonstrate that nearest neighbors algorithms, which are widely used in...
Persistent link: https://www.econbiz.de/10009214872
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A Parametric Analysis of a Constrained Nonlinear Inventory-production Model
Gautier, Antoine; Granot, Frieda - In: Management Science 40 (1994) 11, pp. 1500-1513
We discuss in this paper some inventory-production models which can be formulated as nonlinear parametric network flow problems with one additional linear constraint. Several sensitivity analysis questions are addressed. The qualitative sensitivity results obtained provide the manager with...
Persistent link: https://www.econbiz.de/10009204287
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A Min-Max-Max-Min Approach to Solving a Stochastic Programming Problem with Simple Recourse
White, D. J. - In: Management Science 38 (1992) 4, pp. 540-554
This paper studies a problem of determining the level of certain decisions, taken prior to certain events taking place, and the subsequent additional resource procurement decisions needed to implement the initial program once these events have materialised. The problem is formulated first of all...
Persistent link: https://www.econbiz.de/10009204569
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An Efficient Algorithm to Determine Stochastic Dominance Admissible Sets
Bawa, Vijay S.; Lindenberg, Eric B.; Rafsky, Lawrence C. - In: Management Science 25 (1979) 7, pp. 609-622
Stochastic Dominance (SD) rules are playing an increasingly prominent role in the theory of choice under uncertainty …. Its application areas include stock selection, capital budgeting, etc. The theory is important because it generates … develop an algorithm that should remedy this situation. It exploits recent theoretical results from the Stochastic Dominance …
Persistent link: https://www.econbiz.de/10009209272
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A Fast Algorithm for a Class of Generalized Fractional Programs
Gugat, Martin - In: Management Science 42 (1996) 10, pp. 1493-1499
nonconvex programs of fractional type. In this paper, an algorithm for the numerical solution of these problems is introduced …
Persistent link: https://www.econbiz.de/10009214573