Loading…
Routing to Manage Resolution and Waiting Time in Call Centers with Heterogeneous Servers
In many call centers, agents are trained to handle all arriving calls but exhibit very different performance for the same call type, where we define performance by both the average call handling time and the call resolution probability. In this paper, we explore strategies for determining which call...
Saved in:
Published in: | Manufacturing & service operations management 2012-01, Vol.14 (1), p.66-81 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c510t-8cdf20387c020db27720669081dac04fb79b65be0108b6ca57e7fd08931878b03 |
---|---|
cites | cdi_FETCH-LOGICAL-c510t-8cdf20387c020db27720669081dac04fb79b65be0108b6ca57e7fd08931878b03 |
container_end_page | 81 |
container_issue | 1 |
container_start_page | 66 |
container_title | Manufacturing & service operations management |
container_volume | 14 |
creator | Mehrotra, Vijay Ross, Kevin Ryder, Geoff Zhou, Yong-Pin |
description | In many call centers, agents are trained to handle all arriving calls but exhibit very different performance for the same call type, where we define performance by both the average call handling time and the call resolution probability. In this paper, we explore strategies for determining which calls should be handled by which agents, where these assignments are dynamically determined based on the specific attributes of the agents and/or the current state of the system. We test several routing strategies using data obtained from a medium-sized financial service firm's customer service call centers and present empirical performance results. These results allow us to characterize overall performance in terms of customer waiting time and overall resolution rate, identifying an efficient frontier of routing rules for this contact center. |
doi_str_mv | 10.1287/msom.1110.0349 |
format | article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_940916765</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A282347252</galeid><sourcerecordid>A282347252</sourcerecordid><originalsourceid>FETCH-LOGICAL-c510t-8cdf20387c020db27720669081dac04fb79b65be0108b6ca57e7fd08931878b03</originalsourceid><addsrcrecordid>eNqFkc9rFTEQx4MoWJ9ePQe9us9J9keyx_JQW2gRakVvIZud3absJjWzq_jfm20FFR5IYDKZfGYyky9jLwXshdTq7Uxx3guRj1BW7SN2ImrZFHXV6sf3fllUjaiesmdEtwAgNMgT9vUqrosPI18iv7TBjsivkOKUgzFwG3r-xfp74NrPyH3gBztN_IBhwUT8h19u-BlmP44YMK7EP2H6nq-esyeDnQhf_N537PP7d9eHs-Li44fzw-lF4WoBS6FdP0gotXIgoe-kUhKapgUteuugGjrVdk3dIQjQXeNsrVANPei2FFrpDsode_VQ9y7FbyvSYm7jmkJ-0rQVtKJRTZ2h1w_QaCc0PgxxSdbNnpw5lVqWlZL5f3asOEJtcyU7xYCDz-F_-P0RPq8eZ--OJrz5K6FbyQekbMiPNwuNdiU6Wt-lSJRwMHfJzzb9NALMJrnZJDeb5GaT_M8AWy9ppv_xvwBNAKtJ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>940916765</pqid></control><display><type>article</type><title>Routing to Manage Resolution and Waiting Time in Call Centers with Heterogeneous Servers</title><source>EBSCOhost Business Source Ultimate</source><source>Informs</source><creator>Mehrotra, Vijay ; Ross, Kevin ; Ryder, Geoff ; Zhou, Yong-Pin</creator><creatorcontrib>Mehrotra, Vijay ; Ross, Kevin ; Ryder, Geoff ; Zhou, Yong-Pin</creatorcontrib><description>In many call centers, agents are trained to handle all arriving calls but exhibit very different performance for the same call type, where we define performance by both the average call handling time and the call resolution probability. In this paper, we explore strategies for determining which calls should be handled by which agents, where these assignments are dynamically determined based on the specific attributes of the agents and/or the current state of the system. We test several routing strategies using data obtained from a medium-sized financial service firm's customer service call centers and present empirical performance results. These results allow us to characterize overall performance in terms of customer waiting time and overall resolution rate, identifying an efficient frontier of routing rules for this contact center.</description><identifier>ISSN: 1523-4614</identifier><identifier>EISSN: 1526-5498</identifier><identifier>DOI: 10.1287/msom.1110.0349</identifier><language>eng</language><publisher>Linthicum: INFORMS</publisher><subject>Business metrics ; Call centers ; call resolution ; contact centers ; Customer services ; File servers ; Operations management ; Performance management ; Routing ; skill-based routing ; Studies ; Workforce planning</subject><ispartof>Manufacturing & service operations management, 2012-01, Vol.14 (1), p.66-81</ispartof><rights>COPYRIGHT 2012 Institute for Operations Research and the Management Sciences</rights><rights>Copyright Institute for Operations Research and the Management Sciences Winter 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-8cdf20387c020db27720669081dac04fb79b65be0108b6ca57e7fd08931878b03</citedby><cites>FETCH-LOGICAL-c510t-8cdf20387c020db27720669081dac04fb79b65be0108b6ca57e7fd08931878b03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubsonline.informs.org/doi/full/10.1287/msom.1110.0349$$EHTML$$P50$$Ginforms$$H</linktohtml><link.rule.ids>314,780,784,3692,27924,27925,62616</link.rule.ids></links><search><creatorcontrib>Mehrotra, Vijay</creatorcontrib><creatorcontrib>Ross, Kevin</creatorcontrib><creatorcontrib>Ryder, Geoff</creatorcontrib><creatorcontrib>Zhou, Yong-Pin</creatorcontrib><title>Routing to Manage Resolution and Waiting Time in Call Centers with Heterogeneous Servers</title><title>Manufacturing & service operations management</title><description>In many call centers, agents are trained to handle all arriving calls but exhibit very different performance for the same call type, where we define performance by both the average call handling time and the call resolution probability. In this paper, we explore strategies for determining which calls should be handled by which agents, where these assignments are dynamically determined based on the specific attributes of the agents and/or the current state of the system. We test several routing strategies using data obtained from a medium-sized financial service firm's customer service call centers and present empirical performance results. These results allow us to characterize overall performance in terms of customer waiting time and overall resolution rate, identifying an efficient frontier of routing rules for this contact center.</description><subject>Business metrics</subject><subject>Call centers</subject><subject>call resolution</subject><subject>contact centers</subject><subject>Customer services</subject><subject>File servers</subject><subject>Operations management</subject><subject>Performance management</subject><subject>Routing</subject><subject>skill-based routing</subject><subject>Studies</subject><subject>Workforce planning</subject><issn>1523-4614</issn><issn>1526-5498</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkc9rFTEQx4MoWJ9ePQe9us9J9keyx_JQW2gRakVvIZud3absJjWzq_jfm20FFR5IYDKZfGYyky9jLwXshdTq7Uxx3guRj1BW7SN2ImrZFHXV6sf3fllUjaiesmdEtwAgNMgT9vUqrosPI18iv7TBjsivkOKUgzFwG3r-xfp74NrPyH3gBztN_IBhwUT8h19u-BlmP44YMK7EP2H6nq-esyeDnQhf_N537PP7d9eHs-Li44fzw-lF4WoBS6FdP0gotXIgoe-kUhKapgUteuugGjrVdk3dIQjQXeNsrVANPei2FFrpDsode_VQ9y7FbyvSYm7jmkJ-0rQVtKJRTZ2h1w_QaCc0PgxxSdbNnpw5lVqWlZL5f3asOEJtcyU7xYCDz-F_-P0RPq8eZ--OJrz5K6FbyQekbMiPNwuNdiU6Wt-lSJRwMHfJzzb9NALMJrnZJDeb5GaT_M8AWy9ppv_xvwBNAKtJ</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Mehrotra, Vijay</creator><creator>Ross, Kevin</creator><creator>Ryder, Geoff</creator><creator>Zhou, Yong-Pin</creator><general>INFORMS</general><general>Institute for Operations Research and the Management Sciences</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope></search><sort><creationdate>20120101</creationdate><title>Routing to Manage Resolution and Waiting Time in Call Centers with Heterogeneous Servers</title><author>Mehrotra, Vijay ; Ross, Kevin ; Ryder, Geoff ; Zhou, Yong-Pin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-8cdf20387c020db27720669081dac04fb79b65be0108b6ca57e7fd08931878b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Business metrics</topic><topic>Call centers</topic><topic>call resolution</topic><topic>contact centers</topic><topic>Customer services</topic><topic>File servers</topic><topic>Operations management</topic><topic>Performance management</topic><topic>Routing</topic><topic>skill-based routing</topic><topic>Studies</topic><topic>Workforce planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mehrotra, Vijay</creatorcontrib><creatorcontrib>Ross, Kevin</creatorcontrib><creatorcontrib>Ryder, Geoff</creatorcontrib><creatorcontrib>Zhou, Yong-Pin</creatorcontrib><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><jtitle>Manufacturing & service operations management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mehrotra, Vijay</au><au>Ross, Kevin</au><au>Ryder, Geoff</au><au>Zhou, Yong-Pin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Routing to Manage Resolution and Waiting Time in Call Centers with Heterogeneous Servers</atitle><jtitle>Manufacturing & service operations management</jtitle><date>2012-01-01</date><risdate>2012</risdate><volume>14</volume><issue>1</issue><spage>66</spage><epage>81</epage><pages>66-81</pages><issn>1523-4614</issn><eissn>1526-5498</eissn><abstract>In many call centers, agents are trained to handle all arriving calls but exhibit very different performance for the same call type, where we define performance by both the average call handling time and the call resolution probability. In this paper, we explore strategies for determining which calls should be handled by which agents, where these assignments are dynamically determined based on the specific attributes of the agents and/or the current state of the system. We test several routing strategies using data obtained from a medium-sized financial service firm's customer service call centers and present empirical performance results. These results allow us to characterize overall performance in terms of customer waiting time and overall resolution rate, identifying an efficient frontier of routing rules for this contact center.</abstract><cop>Linthicum</cop><pub>INFORMS</pub><doi>10.1287/msom.1110.0349</doi><tpages>16</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1523-4614 |
ispartof | Manufacturing & service operations management, 2012-01, Vol.14 (1), p.66-81 |
issn | 1523-4614 1526-5498 |
language | eng |
recordid | cdi_proquest_journals_940916765 |
source | EBSCOhost Business Source Ultimate; Informs |
subjects | Business metrics Call centers call resolution contact centers Customer services File servers Operations management Performance management Routing skill-based routing Studies Workforce planning |
title | Routing to Manage Resolution and Waiting Time in Call Centers with Heterogeneous Servers |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T16%3A40%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Routing%20to%20Manage%20Resolution%20and%20Waiting%20Time%20in%20Call%20Centers%20with%20Heterogeneous%20Servers&rft.jtitle=Manufacturing%20&%20service%20operations%20management&rft.au=Mehrotra,%20Vijay&rft.date=2012-01-01&rft.volume=14&rft.issue=1&rft.spage=66&rft.epage=81&rft.pages=66-81&rft.issn=1523-4614&rft.eissn=1526-5498&rft_id=info:doi/10.1287/msom.1110.0349&rft_dat=%3Cgale_proqu%3EA282347252%3C/gale_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c510t-8cdf20387c020db27720669081dac04fb79b65be0108b6ca57e7fd08931878b03%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=940916765&rft_id=info:pmid/&rft_galeid=A282347252&rfr_iscdi=true |