Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints

Laesanklang, Wasakorn and Landa-Silva, Dario and Castillo-Salazar, J. Arturo (2016) Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints. In: Proceedings of the 5th International Conference on Operations Research and Enterprise Systems (ICORES 2016), 23-27 Feb 2016, Rome, Italy.

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Abstract

We present a mixed integer programming decomposition approach to tackle workforce scheduling and routing problems (WSRP) that involve time-dependent activities constraints. The proposed method is called repeated decomposition with conflict repair (RDCR) and it consists of repeatedly applying a phase of problem decomposition and sub-problem solving, followed by a phase dedicated to conflict repair. Five types of time dependent activities constraints are considered: overlapping, synchronisation, minimum difference, maximum difference, and minimum-maximum difference. Experiments are conducted to compare the proposed method to a tailored greedy heuristic. Results show that the proposed RDCR is an effective approach to harness the power of mixed integer programming solvers to tackle the difficult and highly constrained WSRP in practical computational time.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published in: Proceedings of the 5th International Conference in Operations Research and Enterprise Systems. ISBN 9789897581717, pp. 330-339
Keywords: Workforce scheduling and routing problem, Time-dependent activities constraints, Mixed integer programming, Problem decomposition
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Related URLs:
URLURL Type
http://www.icores.org/UNSPECIFIED
Depositing User: Landa-Silva, Dario
Date Deposited: 07 Mar 2016 10:22
Last Modified: 16 Sep 2016 01:42
URI: http://eprints.nottingham.ac.uk/id/eprint/32122

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