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Journal of the Operational Research Society is a peer-reviewed journal published by Taylor & Francis, covering Complex Systems and Decision Making, Scheduling and Optimization Algorithms, Advanced Manufacturing and Logistics Optimization. Over its lifetime it has published 18,119 papers, which have received 580,975 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (APA) Author–year — (Smith, 2023) in the text Smith, A., Jones, B., & Lee, C. (2023). A representative article title. Journal of the Operational Research Society, 12(3), 45–58.
Formats any DOI in Journal of the Operational Research Society style. No sign-up. |
| Publishes research in | Complex Systems and Decision Making Scheduling and Optimization Algorithms Advanced Manufacturing and Logistics Optimization Supply Chain and Inventory Management Optimization and Mathematical Programming |
| ISSN | 0160-5682 |
| Citation impact (2-yr) | 2.17 |
| h-index | 286 |
| i10-index | 6,450 |
| Top institutions publishing here | University of Warwick |
| Journal website | www.palgrave-journals.com |
| 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.
From the Publisher: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition,this text can also be used for self-study by technical professionals since it discusses engineering issues in algorithm design as well as the mathematical aspects.…
Many of the complex problems faced by decision makers involve multiple conflicting objectives. This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives. The theory is illustrated by…
A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications. presents in-depth, self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including descriptions of polynomial-time algorithms for these core models. emphasizes powerful algorithmic strategies…
1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.
