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I'm going to interpret "in OR" as appearing in OR journals and/or written by people who identify as OR/MS/IE researchers. I'm a bit familiar with the intersection of optimization and statistical estimation. Machine learning, OLS and LAV regression, lasso regression etc. all rely on solving optimization problems to fit models. In addition, ...


4

Your problem looks like a quadratic assignment problem. The problem has been researched since at least the 1950s. As long as P$\neq$NP, there cannot be any constant factor approximation algorithm. I think there are some O(log(n))-approximation algorithms. There are also a number of well tested exact algorithms, that are better than brute force, and some ...


3

A common case where you would see 2 or more exponentially large sets of variables, is in: VRPs with heterogeneous vehicles: some vehicles have special equipment or larger capacity and can serve different types of routes Rostering problems with employees with different skills: some employees can perform skills that others cannot perform (e.g. drive a ...


3

The state-of-the-art method for solving the vehicle routing problem with split deliveries is in fact LBBD as can be seen in the following papers: https://www.sciencedirect.com/science/article/abs/pii/S037722171400352X https://pubsonline.informs.org/doi/abs/10.1287/trsc.2018.0825 Although the authors do not refer to their algorithms as LBBD, their methods can ...


1

Rough-cut capacity planning is an essential tool for rapidly calculating the needed capacity and trade-off between the available and required resources which is frequently used in the planning software. As a reference: RCCP is a long-term plan capacity planning tool that marketing and production use to balance required and available capacity and to ...


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