Greedy heuristic for the workforce scheduling and routing problem

The Workforce Scheduling and Routing Problem deals with the assignment of work¬ers to tasks throughout the course of the day, where each task is at a different geo¬graphical location. It is a problem that occurs frequently in the real world, with many different variations, that are usually tackled i...

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Main Author: Russell, Samuel
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/48556/
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author Russell, Samuel
author_facet Russell, Samuel
author_sort Russell, Samuel
building Nottingham Research Data Repository
collection Online Access
description The Workforce Scheduling and Routing Problem deals with the assignment of work¬ers to tasks throughout the course of the day, where each task is at a different geo¬graphical location. It is a problem that occurs frequently in the real world, with many different variations, that are usually tackled individually. This paper presents a greedy heuristic algorithm designed to solve the problem in a generalised case, containing as many of the common problem features as possible at once, so that it can be used to solve any instance of the problem. The intention is for the algorithm to create feasible solutions to the problem in a short amount of time, preferably with a good quality solution. The algorithm presented here is largely successful when handling the various problem features, but is tripped up by trying to satisfy workers who must work for a minimum number of hours in the day. The paper also presents three new data sets of problem instances generated to test the algorithm, or others like it.
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spelling nottingham-485562018-01-09T14:16:37Z https://eprints.nottingham.ac.uk/48556/ Greedy heuristic for the workforce scheduling and routing problem Russell, Samuel The Workforce Scheduling and Routing Problem deals with the assignment of work¬ers to tasks throughout the course of the day, where each task is at a different geo¬graphical location. It is a problem that occurs frequently in the real world, with many different variations, that are usually tackled individually. This paper presents a greedy heuristic algorithm designed to solve the problem in a generalised case, containing as many of the common problem features as possible at once, so that it can be used to solve any instance of the problem. The intention is for the algorithm to create feasible solutions to the problem in a short amount of time, preferably with a good quality solution. The algorithm presented here is largely successful when handling the various problem features, but is tripped up by trying to satisfy workers who must work for a minimum number of hours in the day. The paper also presents three new data sets of problem instances generated to test the algorithm, or others like it. 2017-12-14 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/48556/1/Sam%20Russell_MScDissertation.pdf Russell, Samuel (2017) Greedy heuristic for the workforce scheduling and routing problem. [Dissertation (University of Nottingham only)] WSRP Workforce Scheduling and Routing Problem Workforce Schedul¬ing & Routing Problem Greedy Constructive Heuristic Algorithm
spellingShingle WSRP
Workforce Scheduling and Routing Problem
Workforce Schedul¬ing & Routing Problem
Greedy
Constructive
Heuristic
Algorithm
Russell, Samuel
Greedy heuristic for the workforce scheduling and routing problem
title Greedy heuristic for the workforce scheduling and routing problem
title_full Greedy heuristic for the workforce scheduling and routing problem
title_fullStr Greedy heuristic for the workforce scheduling and routing problem
title_full_unstemmed Greedy heuristic for the workforce scheduling and routing problem
title_short Greedy heuristic for the workforce scheduling and routing problem
title_sort greedy heuristic for the workforce scheduling and routing problem
topic WSRP
Workforce Scheduling and Routing Problem
Workforce Schedul¬ing & Routing Problem
Greedy
Constructive
Heuristic
Algorithm
url https://eprints.nottingham.ac.uk/48556/