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Volumn , Issue , 2007, Pages 2252-2258

Partial cross training in call centers with uncertain arrivals and global service level agreements

Author keywords

[No Author keywords available]

Indexed keywords

FINANCE; INVESTMENTS; MANAGEMENT; NETWORK ARCHITECTURE;

EID: 49749113736     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2007.4419862     Document Type: Conference Paper
Times cited : (11)

References (10)
  • 1
    • 3242879438 scopus 로고    scopus 로고
    • Modeling daily arrivals to a telephone call center
    • Avramadis, A., A. Deslauriers, and P. L'Ecuyer 2004. Modeling daily arrivals to a telephone call center. Management Science 50(7):896-908.
    • (2004) Management Science , vol.50 , Issue.7 , pp. 896-908
    • Avramadis, A.1    Deslauriers, A.2    L'Ecuyer, P.3
  • 7
    • 25144466539 scopus 로고    scopus 로고
    • A method for staffing large call centers based on stochastic fluid models
    • Harrison, J. and A. Zeevi 2005. A method for staffing large call centers based on stochastic fluid models. Manufacturing & Service Operations Management 7(1):20-36.
    • (2005) Manufacturing & Service Operations Management , vol.7 , Issue.1 , pp. 20-36
    • Harrison, J.1    Zeevi, A.2
  • 9
    • 28244455337 scopus 로고    scopus 로고
    • A Staffing Algorithm for Call Centers with Skill-Based Routing
    • Wallace, R. B. and W. Whitt 2005. A Staffing Algorithm for Call Centers with Skill-Based Routing. Manufacturing & Service Operations Management 7(4):276-294.
    • (2005) Manufacturing & Service Operations Management , vol.7 , Issue.4 , pp. 276-294
    • Wallace, R.B.1    Whitt, W.2
  • 10
    • 33645572084 scopus 로고    scopus 로고
    • Sensitivity of Performance in the Erlang A Model to Changes in the Model Parameters
    • Whitt, W. 2006. Sensitivity of Performance in the Erlang A Model to Changes in the Model Parameters. Operations Research 54(2):247-260.
    • (2006) Operations Research , vol.54 , Issue.2 , pp. 247-260
    • Whitt, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.