Scheduling of agents in inbound multilingual call centers
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Operations & Production Management (Online) |
Texto Completo: | https://bjopm.org.br/bjopm/article/view/V14N2A11 |
Resumo: | This paper presents an Integer Linear Programming model, which enables the scheduling of agents in call centers according to segmentation by skills, as well as the inclusion of labor law restrictions. The results from the experimental application of this method to situations involving real-time problems are presented, wherein the necessary shifts to meet forecasted demand are provided, in addition to an economically optimum combination of agents and skills, generating a solution, which is sufficient to maintain the desired level of service at the lowest cost possible. The approach proposed in this study presents an alternative worthy of consideration, since it is able to successfully incorporate the flexibility of call centers with skills-based routing in an easy-to-implement model that has proven to be effective in experiments conducted in on-the-job settings. Advances in information technology and telecommunications in recent years have increasingly heightened the presence of call centers in the day-to-day of companies and their customers. Call center management should endeavor to achieve a balance between technical performance and economic performance (labour costs, equipment, trunks and rates). It is estimated that 70% of the operating costs of call centers are currently related to labor costs. This paper provides research on how to significantly reduce personnel-related operational costs without negatively affecting the quality of the service. |
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Brazilian Journal of Operations & Production Management (Online) |
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Scheduling of agents in inbound multilingual call centersPlanningAllocationCall CentersSchedulingSkill-Based RoutingInteger Programming.This paper presents an Integer Linear Programming model, which enables the scheduling of agents in call centers according to segmentation by skills, as well as the inclusion of labor law restrictions. The results from the experimental application of this method to situations involving real-time problems are presented, wherein the necessary shifts to meet forecasted demand are provided, in addition to an economically optimum combination of agents and skills, generating a solution, which is sufficient to maintain the desired level of service at the lowest cost possible. The approach proposed in this study presents an alternative worthy of consideration, since it is able to successfully incorporate the flexibility of call centers with skills-based routing in an easy-to-implement model that has proven to be effective in experiments conducted in on-the-job settings. Advances in information technology and telecommunications in recent years have increasingly heightened the presence of call centers in the day-to-day of companies and their customers. Call center management should endeavor to achieve a balance between technical performance and economic performance (labour costs, equipment, trunks and rates). It is estimated that 70% of the operating costs of call centers are currently related to labor costs. This paper provides research on how to significantly reduce personnel-related operational costs without negatively affecting the quality of the service.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2017-07-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdftext/htmlhttps://bjopm.org.br/bjopm/article/view/V14N2A1110.14488/BJOPM.2017.v14.n2.a11Brazilian Journal of Operations & Production Management; Vol. 14 No. 2 (2017): June, 2017; 228-2382237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/V14N2A11/pdfhttps://bjopm.org.br/bjopm/article/view/V14N2A11/htmlCopyright (c) 2017 Brazilian Journal of Operations & Production Managementhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBarbosa, Luiz Henrique SantannaGomes, Carlos Francisco SimõesChaves, Maria Cecilia C.2022-11-29T19:41:17Zoai:ojs.bjopm.org.br:article/322Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:12.424254Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Scheduling of agents in inbound multilingual call centers |
title |
Scheduling of agents in inbound multilingual call centers |
spellingShingle |
Scheduling of agents in inbound multilingual call centers Barbosa, Luiz Henrique Santanna Planning Allocation Call Centers Scheduling Skill-Based Routing Integer Programming. |
title_short |
Scheduling of agents in inbound multilingual call centers |
title_full |
Scheduling of agents in inbound multilingual call centers |
title_fullStr |
Scheduling of agents in inbound multilingual call centers |
title_full_unstemmed |
Scheduling of agents in inbound multilingual call centers |
title_sort |
Scheduling of agents in inbound multilingual call centers |
author |
Barbosa, Luiz Henrique Santanna |
author_facet |
Barbosa, Luiz Henrique Santanna Gomes, Carlos Francisco Simões Chaves, Maria Cecilia C. |
author_role |
author |
author2 |
Gomes, Carlos Francisco Simões Chaves, Maria Cecilia C. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Barbosa, Luiz Henrique Santanna Gomes, Carlos Francisco Simões Chaves, Maria Cecilia C. |
dc.subject.por.fl_str_mv |
Planning Allocation Call Centers Scheduling Skill-Based Routing Integer Programming. |
topic |
Planning Allocation Call Centers Scheduling Skill-Based Routing Integer Programming. |
description |
This paper presents an Integer Linear Programming model, which enables the scheduling of agents in call centers according to segmentation by skills, as well as the inclusion of labor law restrictions. The results from the experimental application of this method to situations involving real-time problems are presented, wherein the necessary shifts to meet forecasted demand are provided, in addition to an economically optimum combination of agents and skills, generating a solution, which is sufficient to maintain the desired level of service at the lowest cost possible. The approach proposed in this study presents an alternative worthy of consideration, since it is able to successfully incorporate the flexibility of call centers with skills-based routing in an easy-to-implement model that has proven to be effective in experiments conducted in on-the-job settings. Advances in information technology and telecommunications in recent years have increasingly heightened the presence of call centers in the day-to-day of companies and their customers. Call center management should endeavor to achieve a balance between technical performance and economic performance (labour costs, equipment, trunks and rates). It is estimated that 70% of the operating costs of call centers are currently related to labor costs. This paper provides research on how to significantly reduce personnel-related operational costs without negatively affecting the quality of the service. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/V14N2A11 10.14488/BJOPM.2017.v14.n2.a11 |
url |
https://bjopm.org.br/bjopm/article/view/V14N2A11 |
identifier_str_mv |
10.14488/BJOPM.2017.v14.n2.a11 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://bjopm.org.br/bjopm/article/view/V14N2A11/pdf https://bjopm.org.br/bjopm/article/view/V14N2A11/html |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Brazilian Journal of Operations & Production Management http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
publisher.none.fl_str_mv |
Brazilian Association for Industrial Engineering and Operations Management (ABEPRO) |
dc.source.none.fl_str_mv |
Brazilian Journal of Operations & Production Management; Vol. 14 No. 2 (2017): June, 2017; 228-238 2237-8960 reponame:Brazilian Journal of Operations & Production Management (Online) instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Brazilian Journal of Operations & Production Management (Online) |
collection |
Brazilian Journal of Operations & Production Management (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
bjopm.journal@gmail.com |
_version_ |
1797051460495605760 |