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- W2016959770 abstract "We propose an approach based on mixed integer programming (MIP) with decomposition to solve a workforce scheduling and routing problem, in which a set of workers should be assigned to tasks that are distributed across different geographical locations. This problem arises from a number of home care planning scenarios in the UK, faced by our industrial partner. We present a mixed integer programming model that incorporates important real-world features of the problem such as defined geographical regions and flexibility in the workers? availability. Given the size of the real-world instances, we propose to decompose the problem based on geographical areas. We show that the quality of the overall solution is affected by the ordering in which the sub-problems are tackled. Hence, we investigate different ordering strategies to solve the sub-problems and show that such decomposition approach is a very promising technique to produce high-quality solutions in practical computational times using an exact optimization method." @default.
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- W2016959770 date "2015-01-01" @default.
- W2016959770 modified "2023-09-27" @default.
- W2016959770 title "Mixed Integer Programming with Decomposition to Solve a Workforce Scheduling and Routing Problem" @default.
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- W2016959770 doi "https://doi.org/10.5220/0005223602830293" @default.
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