[Iefac.list] Analytics in Operations Department at MSOM

[Huseyin Topaloglu]

Dear Colleagues,
We are happy to announce that the Analytics in Operations department at MSOM is now accepting papers for consideration for publication. The current department editors are Melvyn Sim and Huseyin Topaloglu. The department seeks papers that use mathematical modeling and analysis to drive decision-making in data-rich environments. We look for strong methodological contributions with a clear path to making an impact in the practice of data-driven decision-making, but do not require the use of real data. More details on the department’s philosophy can be found in the editorial statement included below.

We sincerely hope that you will consider the Analytics in Operations department at MSOM as an outlet for your papers!

Editorial Statement:
Combined power of algorithms, data and computation has enabled analytics to be indispensable for solving challenging problems in operations such as, among others, the sharing economy, online markets, public policy, healthcare, transportation logistics, and supply chains. Accordingly, the Department seeks papers that use mathematical modeling and analysis to drive decision-making in data-rich environments. We are particularly interested in papers that have strong methodological contributions with a clear path to making an impact in the practice of data-driven decision-making.

Our understanding of analytics, in terms of both methodology and application areas, is broad. We welcome papers with focus on optimization, stochastic analysis, and data-intensive methods. Application areas of interest range from business applications in online platforms, retail and operations to societal applications in healthcare and politics. The department looks for papers that excel in both their methodological contributions and their ability to incorporate large-scale data into the decision-making process, as opposed to papers that purely use standard tools to test hypotheses on the data.

We value demonstrating the effectiveness of the proposed methodology on real-world data, but do not put it forth as a requirement for all papers submitted to the department. Nevertheless, the submitted work should have a clear path to contributing to the science of data-driven decision-making. While management insight is appreciated, we understand that a novel algorithmic approach may not immediately translate into management insight.

Best regards,
Melvyn Sim & Huseyin Topaloglu
Department Editors

Huseyin

http://people.orie.cornell.edu/huseyin

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