A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes

The collection, transport, and final disposal of hospital waste may cause contamination and disease if improperly handled. Therefore, such residues are hazardous to the health of waste collectors. These wastes are generated by public agencies, such as hospitals, family health centers, dialysis cente...

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Autores principales:	Rodrigo Linfati, Gustavo Gatica, John Willmer Escobar
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	mixed-integer linear programming model hospital waste collection geographic clustering customers scheduling customers frequency Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/9feb0af6c0124a9ab278ae38138d0a44
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spelling	oai:doaj.org-article:9feb0af6c0124a9ab278ae38138d0a442021-11-25T16:31:27ZA Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes10.3390/app1122105572076-3417https://doaj.org/article/9feb0af6c0124a9ab278ae38138d0a442021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10557https://doaj.org/toc/2076-3417The collection, transport, and final disposal of hospital waste may cause contamination and disease if improperly handled. Therefore, such residues are hazardous to the health of waste collectors. These wastes are generated by public agencies, such as hospitals, family health centers, dialysis centers, and private healthcare providers. In this study, a mixed-integer linear programming model is proposed for monthly customer scheduling and route assignment. The proposed approach was fulfilled according to customers’ collection frequency, truck capacity, and customer geographical location. The proposed mathematical model successfully balanced the number of customers and the workload during each day. The effectiveness of the proposed model was tested on data obtained from a waste collection company. The model has been implemented in AMPL language, and the performance of commercial solvers, GUROBI and CPLEX, to obtain an optimal solution were tested. The results show the efficiency of the proposed approach to balance the workload concerning previous scheduling is done ad hoc at the company. The use of the formulated model provides an automatic procedure that was previously performed manually. The methodology can be adapted to other companies with similar requirements.Rodrigo LinfatiGustavo GaticaJohn Willmer EscobarMDPI AGarticlemixed-integer linear programming modelhospital waste collectiongeographic clusteringcustomers schedulingcustomers frequencyTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10557, p 10557 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	mixed-integer linear programming model hospital waste collection geographic clustering customers scheduling customers frequency Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	mixed-integer linear programming model hospital waste collection geographic clustering customers scheduling customers frequency Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Rodrigo Linfati Gustavo Gatica John Willmer Escobar A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes
description	The collection, transport, and final disposal of hospital waste may cause contamination and disease if improperly handled. Therefore, such residues are hazardous to the health of waste collectors. These wastes are generated by public agencies, such as hospitals, family health centers, dialysis centers, and private healthcare providers. In this study, a mixed-integer linear programming model is proposed for monthly customer scheduling and route assignment. The proposed approach was fulfilled according to customers’ collection frequency, truck capacity, and customer geographical location. The proposed mathematical model successfully balanced the number of customers and the workload during each day. The effectiveness of the proposed model was tested on data obtained from a waste collection company. The model has been implemented in AMPL language, and the performance of commercial solvers, GUROBI and CPLEX, to obtain an optimal solution were tested. The results show the efficiency of the proposed approach to balance the workload concerning previous scheduling is done ad hoc at the company. The use of the formulated model provides an automatic procedure that was previously performed manually. The methodology can be adapted to other companies with similar requirements.
format	article
author	Rodrigo Linfati Gustavo Gatica John Willmer Escobar
author_facet	Rodrigo Linfati Gustavo Gatica John Willmer Escobar
author_sort	Rodrigo Linfati
title	A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes
title_short	A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes
title_full	A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes
title_fullStr	A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes
title_full_unstemmed	A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes
title_sort	mathematical model for scheduling and assignment of customers in hospital waste collection routes
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9feb0af6c0124a9ab278ae38138d0a44
work_keys_str_mv	AT rodrigolinfati amathematicalmodelforschedulingandassignmentofcustomersinhospitalwastecollectionroutes AT gustavogatica amathematicalmodelforschedulingandassignmentofcustomersinhospitalwastecollectionroutes AT johnwillmerescobar amathematicalmodelforschedulingandassignmentofcustomersinhospitalwastecollectionroutes AT rodrigolinfati mathematicalmodelforschedulingandassignmentofcustomersinhospitalwastecollectionroutes AT gustavogatica mathematicalmodelforschedulingandassignmentofcustomersinhospitalwastecollectionroutes AT johnwillmerescobar mathematicalmodelforschedulingandassignmentofcustomersinhospitalwastecollectionroutes
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A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes

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