Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches
This research aims to improve the performance of the service of a Chemotherapy Treatment Unit by reducing the waiting time of patients within the unit. In order to fulfill the objective, initially, the chemotherapy treatment unit is deduced as an identical parallel machines scheduling problem with u...
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ndltd-MANITOBA-oai-mspace.lib.umanitoba.ca-1993-88762014-01-31T03:33:39Z Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches Shahnawaz, Sanjana ElMekkawy, Tarek (Mechanical and Manufacturing Engineering) Peng,Qingjin (Mechanical and Manufacturing Engineering) Malcolm,Xing (Mechanical and Manufacturing Engineering) Srimantoorao S. Appadoo (Asper school of Business) Tabu search algorithm Metaheuristic This research aims to improve the performance of the service of a Chemotherapy Treatment Unit by reducing the waiting time of patients within the unit. In order to fulfill the objective, initially, the chemotherapy treatment unit is deduced as an identical parallel machines scheduling problem with unequal release time and single resource. A mathematical model is developed to generate the optimum schedule. Afterwards, a Tabu search (TS) algorithm is developed. The performance of the TS algorithm is evaluated by comparing results with the mathematical model and the best results of benchmark problems reported in the literature. Later on, an additional resource is considered which converted the problem into a dual resources scheduling problem. Three approaches are proposed to solve this problem; namely, heuristics, a Tabu search algorithm with heuristic (TSHu), and Tabu search algorithm for dual resources (TSD). 2012-09-18T20:14:18Z 2012-09-18T20:14:18Z 2012-09-18 http://hdl.handle.net/1993/8876 |
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Tabu search algorithm Metaheuristic |
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Tabu search algorithm Metaheuristic Shahnawaz, Sanjana Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches |
description |
This research aims to improve the performance of the service of a Chemotherapy Treatment Unit by reducing the waiting time of patients within the unit. In order to fulfill the objective, initially, the chemotherapy treatment unit is deduced as an identical parallel machines scheduling problem with unequal release time and single resource. A mathematical model is developed to generate the optimum schedule. Afterwards, a Tabu search (TS) algorithm is developed. The performance of the TS algorithm is evaluated by comparing results with the mathematical model and the best results of benchmark problems reported in the literature. Later on, an additional resource is considered which converted the problem into a dual resources scheduling problem. Three approaches are proposed to solve this problem; namely, heuristics, a Tabu search algorithm with heuristic (TSHu), and Tabu search algorithm for dual resources (TSD). |
author2 |
ElMekkawy, Tarek (Mechanical and Manufacturing Engineering) Peng,Qingjin (Mechanical and Manufacturing Engineering) |
author_facet |
ElMekkawy, Tarek (Mechanical and Manufacturing Engineering) Peng,Qingjin (Mechanical and Manufacturing Engineering) Shahnawaz, Sanjana |
author |
Shahnawaz, Sanjana |
author_sort |
Shahnawaz, Sanjana |
title |
Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches |
title_short |
Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches |
title_full |
Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches |
title_fullStr |
Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches |
title_full_unstemmed |
Optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches |
title_sort |
optimization of patients appointments in chemotherapy treatment unit: heuristic and metaheuristic approaches |
publishDate |
2012 |
url |
http://hdl.handle.net/1993/8876 |
work_keys_str_mv |
AT shahnawazsanjana optimizationofpatientsappointmentsinchemotherapytreatmentunitheuristicandmetaheuristicapproaches |
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1716629682018844672 |