東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Skill-based routing in an inbound ca...

Chung, Jain-shone.

FindBook

Google Book

Amazon

博客來

Skill-based routing in an inbound call center: Applying data mining to compare alternative simulated systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Skill-based routing in an inbound call center: Applying data mining to compare alternative simulated systems./
作者:	Chung, Jain-shone.
面頁冊數:	189 p.
附註:	Adviser: Preston K. White.
Contained By:	Dissertation Abstracts International63-12B.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3073594
ISBN:	0493935363

Skill-based routing in an inbound call center: Applying data mining to compare alternative simulated systems.
Chung, Jain-shone.

Skill-based routing in an inbound call center: Applying data mining to compare alternative simulated systems. - 189 p.

Adviser: Preston K. White.

Thesis (Ph.D.)--University of Virginia, 2003.

In modern service systems, in-bound call centers are a primary channel for communication with customers. Technological impacts have led to significant changes in traditional call centers. Advancements in call center technology have enabled call centers to provide efficient service to meet customers' various needs. The skill-based routing technology enables call centers to effectively and efficiently utilize multi-skilled agents. Nonetheless, the same technologies also complicate managerial tasks, such as staffing and scheduling. New methods of management are required, which make the most effective use of these technologies.

ISBN: 0493935363Subjects--Topical Terms:

1018128
Engineering, System Science.

Skill-based routing in an inbound call center: Applying data mining to compare alternative simulated systems.
LDR:03255nam 2200301 a 45 001 929677
005 20110427
008 110427s2003 eng d
020 $a 0493935363
035 $a (UnM)AAI3073594
035 $a AAI3073594
040 $a UnM $c UnM
100 1 $a Chung, Jain-shone. $3 1253164
245 1 0 $a Skill-based routing in an inbound call center: Applying data mining to compare alternative simulated systems.
300 $a 189 p.
500 $a Adviser: Preston K. White.
500 $a Source: Dissertation Abstracts International, Volume: 63-12, Section: B, page: 6076.
502 $a Thesis (Ph.D.)--University of Virginia, 2003.
520 $a In modern service systems, in-bound call centers are a primary channel for communication with customers. Technological impacts have led to significant changes in traditional call centers. Advancements in call center technology have enabled call centers to provide efficient service to meet customers' various needs. The skill-based routing technology enables call centers to effectively and efficiently utilize multi-skilled agents. Nonetheless, the same technologies also complicate managerial tasks, such as staffing and scheduling. New methods of management are required, which make the most effective use of these technologies.
520 $a In this research, we develop such the architecture and demonstrate its application in the case study. The subject for this case is Crutchfield, a leading mail-order catalog company selling car audio equipment and home electronics. Crutchfield's primary business channel is a call center, which current uses cross-trained agents and skill-based routing. A model based on traffic data and managerial experience from Crutchfield is examined in this study. Based on managerial recommendations, we specifically address the problem of determining call center staffing schedules, including the best routing and mix of specialized and cross-trained agents.
520 $a Instead of seeking an optimal solution, we were interested in arriving at a decision boundary for the problem. A solution architecture was proposed and developed in the research to find decision boundary information by integrating discrete-event simulation technology with tree-based classification models. The main purpose of this dissertation was to explore this solution architecture based on real call center data from Crutchfield.
520 $a Based on the research and managerial concerns for Crutchfield's call center, we accomplished call center simulation models with complex routing schemes, such as probabilistic and dynamic routing, trade-off studies for all-generalist and all-specialist call center systems in terms of efficiency and quality, and development of an integrated solution architecture by integrating discrete-event simulation, efficient sampling methods, and data mining technologies, for call center staffing. All these accomplishments resulted in concrete results for application oriented research in this dissertation.
590 $a School code: 0246.
650 4 $a Engineering, System Science. $3 1018128
690 $a 0790
710 2 0 $a University of Virginia. $3 645578
773 0 $t Dissertation Abstracts International $g 63-12B.
790 $a 0246
790 1 0 $a White, Preston K., $e advisor
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3073594