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IMA Journal of Management Mathematics is a peer-reviewed journal published by Oxford University Press, covering Reliability and Maintenance Optimization, Supply Chain and Inventory Management, Stochastic processes and financial applications.
| Publisher | Oxford University Press |
|---|---|
| Reference style | Author–year (OUP) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', IMA Journal of Management Mathematics, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — IMA Journal of Management Mathematics has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Reliability and Maintenance Optimization Supply Chain and Inventory Management Stochastic processes and financial applications Sports Analytics and Performance Statistical Distribution Estimation and Applications |
| ISSN | 1471-678X |
| Citation impact (2-yr) | 1.34 |
| h-index | 49 |
| i10-index | 384 |
| Total citations | 13,712 |
| Article processing charge | $3,167 |
| Top institutions publishing here | University of Salford |
| Journal website | imaman.oxfordjournals.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Organizations need to better design, manage and improve their supply chains as these become global and more complex. To do this, they need to learn from other organizations and sectors, preempt problems before they occur, and understand the future challenges they may face. Although over 40,000 articles and books have been published on supply chain…
Reliability analysts are interested in calculating a reliability function (RF), e.g. in order to establish an optimal replacement policy. To implement this policy, it is often important to include measured condition information, such as those from oil or vibration analysis. Information from condition monitoring can be included in reliability analysis by considering the hazard rate…
Spare parts are very common in many industries and forecasting their requirements is an important operational issue. In recent years, there have been advances in forecasting methods for spare parts, demand information sharing strategies and the design of forecast support systems. Some work has also been done on the value of judgemental adjustment of statistical…
This paper compares the predictive performance of linear discriminant analysis, neural networks, genetic algorithms and decision trees in distinguishing between good and slow payers of bank credit card accounts. Predictive models were built using the evolutionary techniques and the results compared with those gained from the discriminant analysis model published in Crook et al. (1992),…
Modelling football match outcomes is becoming increasingly popular nowadays for both team managers and betting funs. Most of the existing literature deals with modelling the number of goals scored by each team. In this paper, we work in a different direction. Instead of modelling the number of goals directly, we focus on the difference of…
