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

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...

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Main Authors: Laesanklang, Wasakorn, Landa-Silva, Dario, Castillo-Salazar, J. Arturo
Format: Conference or Workshop Item
Published: 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/32122/
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author Laesanklang, Wasakorn
Landa-Silva, Dario
Castillo-Salazar, J. Arturo
author_facet Laesanklang, Wasakorn
Landa-Silva, Dario
Castillo-Salazar, J. Arturo
author_sort Laesanklang, Wasakorn
building Nottingham Research Data Repository
collection Online Access
description 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.
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format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
institution_category Local University
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publishDate 2016
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spelling nottingham-321222020-05-04T20:04:08Z https://eprints.nottingham.ac.uk/32122/ Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints Laesanklang, Wasakorn Landa-Silva, Dario Castillo-Salazar, J. Arturo 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. 2016-02 Conference or Workshop Item PeerReviewed Laesanklang, Wasakorn, 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. Workforce scheduling and routing problem Time-dependent activities constraints Mixed integer programming Problem decomposition
spellingShingle Workforce scheduling and routing problem
Time-dependent activities constraints
Mixed integer programming
Problem decomposition
Laesanklang, Wasakorn
Landa-Silva, Dario
Castillo-Salazar, J. Arturo
Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints
title Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints
title_full Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints
title_fullStr Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints
title_full_unstemmed Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints
title_short Mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints
title_sort mixed integer programming with decomposition for workforce scheduling and routing with time-dependent activities constraints
topic Workforce scheduling and routing problem
Time-dependent activities constraints
Mixed integer programming
Problem decomposition
url https://eprints.nottingham.ac.uk/32122/