Journal•ISSN: 1109-2858
Operational Research
Springer Science+Business Media
About: Operational Research is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Computer science & Supply chain. It has an ISSN identifier of 1109-2858. Over the lifetime, 941 publications have been published receiving 11420 citations. The journal is also known as: ORIJ (Print) & ORIJ (Internet).
Topics: Computer science, Supply chain, Data envelopment analysis, Computational intelligence, Job shop scheduling
Papers published on a yearly basis
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675 citations
Journal Article•
491 citations
Journal Article•
TL;DR: In this paper, the authors give a general result showing when a valid inequality or facet of an integer polytope can be obtained from a valid equality or facet in a subset of the variables.
Abstract: We give a general result showing when a valid inequality or facet of an integer polytope can be obtained from a valid inequality or facet in a subset of the variables.
127 citations
TL;DR: This survey presents some of the most used data mining techniques in the field of agriculture, such as the k-means, the k nearest neighbor, artificial neural networks and support vector machines, and an application in agriculture for each of these techniques.
Abstract: In this survey we present some of the most used data mining techniques in the field of agriculture. Some of these techniques, such as the k-means, the k nearest neighbor, artificial neural networks and support vector machines, are discussed and an application in agriculture for each of these techniques is presented. Data mining in agriculture is a relatively novel research field. It is our opinion that efficient techniques can be developed and tailored for solving complex agricultural problems using data mining. At the end of this survey we provide recommendations for future research directions in agriculture-related fields.
122 citations
TL;DR: The empirical evidence suggests the predictive power of oil prices has been increased after the raise in oil prices, while both Saudi and Omani markets only have the power to predict oil prices.
Abstract: Using a vector autoregression (VAR) analysis, this paper investigates the effect of the sharp increase in oil prices on stock market returns for five Gulf Cooperation Council (GCC) countries (Bahrain, Kuwait, Oman, Saudi Arabia, and Abu Dhabi). The empirical investigation is conducted using daily data from 25 May, 2001 to 24 May, 2005. During this period oil price has been doubled the thing that led to great surplus in cash in these markets and positively affected their performance. Our empirical evidence suggests the following: (i) The predictive power of oil prices has been increased after the raise in oil prices, while both Saudi and Omani markets only have the power to predict oil prices. (ii) By analyzing the impulse response function, the response of these markets to shocks in oil prices has increased and became faster after the raise in oil prices. (iii) The Saudi market is more responsive to shocks in oil prices and vice versa.
118 citations