Parametric Forecasting and Stochastic Programming Models for Call-Center Workforce Scheduling
- Noah Gans,
Noah Gans
[email protected]Operations, Information and Decisions Department, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104
- Haipeng Shen,
Haipeng Shen
[email protected]Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; and Innovation and Information Management, School of Business, University of Hong Kong, Pok Fu Lam, Hong Kong
- Yong-Pin Zhou,
Yong-Pin Zhou
[email protected]Department of Information Systems and Operations Management, The Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195
- Nikolay Korolev,
Nikolay Korolev
[email protected]Genesys Telecommunications Laboratories, Daly City, California 94014
- Alan McCord,
- Herbert Ristock
Herbert Ristock
[email protected]Genesys Telecommunications Laboratories, Daly City, California 94014
Noah Gans
[email protected]Operations, Information and Decisions Department, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104
Haipeng Shen
[email protected]Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599; and Innovation and Information Management, School of Business, University of Hong Kong, Pok Fu Lam, Hong Kong
Yong-Pin Zhou
[email protected]Department of Information Systems and Operations Management, The Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195
Nikolay Korolev
[email protected]Genesys Telecommunications Laboratories, Daly City, California 94014
Herbert Ristock
[email protected]Genesys Telecommunications Laboratories, Daly City, California 94014
Supplemental Material
msom.2015.0546-sm-e-companion.pdf (658 KB)
