Optimal Hiring and Retention Policies for Heterogeneous Workers Who Learn

References

• Akşin OZ, Armony M, Mehrotra V (2007) The modern call center: A multi-disciplinary perspective on operations management research. Production Oper. Management 16(6):665–688.Crossref, Google Scholar
• Arlotto A, Gans N, Chick SE (2010) Optimal employee retention when inferring unknown learning curves. Johansson B, Jain S, Montoya-Torres J, Hugan J, Yücesan E, eds. Proc. 2010 Winter Simulation Conf. (IEEE, Piscataway, NJ), 1178–1188.Crossref, Google Scholar
• Asawa M, Teneketzis D (1996) Multi-armed bandits with switching penalties. IEEE Trans. Automatic Control 41(3):328–348.Crossref, Google Scholar
• Bailey CD (1989) Forgetting and the learning curve: A laboratory study. Management Sci. 35(3):340–352.Link, Google Scholar
• Banks JS, Sundaram RK (1992) Denumerable-armed bandits. Econometrica 60(5):1071–1096.Crossref, Google Scholar
• Banks JS, Sundaram RK (1994) Switching costs and the Gittins index. Econometrica 62(3):687–694.Crossref, Google Scholar
• Bergemann D, Välimäki J (2001) Stationary multi-choice bandit problems. J. Econom. Dynam. Control 25(10):1585–1594.Crossref, Google Scholar
• Bertsekas DP, Shreve SE (1978) Stochastic Optimal Control, Vol. 139 (Academic Press, New York).Google Scholar
• Brown L, Gans N, Mandelbaum A, Sakov A, Shen H, Zeltyn S, Zhao L (2005) Statistical analysis of a telephone call center: A queueing-science perspective. J. Amer. Statist. Assoc. 100(469):36–50.Crossref, Google Scholar
• Carillo JE, Gaimon C (2000) Improving manufacturing performance through process change and knowledge creation. Management Sci. 46(2):265–288.Link, Google Scholar
• Dada M, Srikanth KN (1990) Monopolistic pricing and the learning curve: An algorithmic approach. Oper. Res. 38(4):656–666.Link, Google Scholar
• Farias VF, Madan R (2011) The irrevocable multiarmed bandit problem. Oper. Res. 59(2):383–399.Link, Google Scholar
• Frazier P, Powell W, Dayanik S (2009) The knowledge-gradient policy for correlated normal beliefs. INFORMS J. Comput. 21(4):599–613.Link, Google Scholar
• Freeman PR (1983) The secretary problem and its extensions: A review. Internat. Statist. Rev. 51(2):189–206.Crossref, Google Scholar
• Gaimon C (1997) Planning information technology-knowledge worker systems. Management Sci. 43(9):1308–1328.Link, Google Scholar
• Gaimon C, Ozkan GF, Napoleon K (2011) Dynamic resource capabilities: Managing workforce knowledge with a technology upgrade. Organ. Sci. 22(6):1560–1578.Link, Google Scholar
• Gans N, Zhou Y-P (2002) Managing learning and turnover in employee staffing. Oper. Res. 50(6):991–1006.Link, Google Scholar
• Gans N, Koole G, Mandelbaum A (2003) Telephone call centers: Tutorial, review, and research prospects. Manufacturing Service Oper. Management 5(2):79–141.Link, Google Scholar
• Gans N, Liu N, Mandelbaum A, Shen H, Ye H (2010) Service times in call centers: Agent heterogeneity and learning with some operational consequences. Berger JO, Cai TT, Johnstone IM, eds. Borrowing Strength: Theory Powering Applications—A Festschrift for Lawrence D. Brown, Vol. 6 (Institute of Mathematical Statistics, Beachwood, OH), 99–123.Crossref, Google Scholar
• Gittins JC (1979) Bandit processes and dynamic allocation indices. J. Roy. Statist. Soc. Ser. B 41(2):148–177.Google Scholar
• Goldberg MS, Touw AE (2003) Statistical methods for learning curves and cost analysis. Topics in Operations Research (INFORMS, Catonsville, MD).Google Scholar
• Huselid MA (1995) The impact of human resource practices on turnover, productivity, and corporate financial performance. Acad. Management J. 38(3):635–672.Crossref, Google Scholar
• Jovanovic B (1979) Job matching and the theory of turnover. J. Political Econom. 87(5):972–990.Crossref, Google Scholar
• Jun T (2004) A survey on the bandit problem with switching costs. De Economist 152(4):513–541.Crossref, Google Scholar
• Lapré MA, Mukherjee AS, Van Wassenhove LN (2000) Behind the learning curve: Linking learning activities to waste reduction. Management Sci. 46(5):597–611.Link, Google Scholar
• March JG (1991) Exploration and exploitation in organizational learning. Organ. Sci. 2(1):71–87.Link, Google Scholar
• Mazzola JB, McCardle KF (1996) A Bayesian approach to managing learning-curve uncertainty. Management Sci. 42(5):680–692.Link, Google Scholar
• Mazzola JB, McCardle KF (1997) The stochastic learning curve: Optimal production in the presence of learning-curve uncertainty. Oper. Res. 45(3):440–450.Link, Google Scholar
• Müller A, Stoyan D (2002) Comparison Methods for Stochastic Models and Risks, Wiley Series in Probability and Statistics (John Wiley & Sons, Chichester, UK).Google Scholar
• Nagypál É (2007) Learning by doing vs. learning about match quality: Can we tell them apart? Rev. Econom. Stud. 74(2):537–566.Crossref, Google Scholar
• Nembhard DA (2001) Heuristic approach for assigning workers to tasks based on individual learning rates. Internat. J. Production Res. 39(9):1955–1968.Crossref, Google Scholar
• Nembhard DA, Osothsilp N (2002) Task complexity effects on between-individual learning/forgetting variability. Internat. J. Indust. Ergonomics 29(5):297–306.Crossref, Google Scholar
• Nembhard DA, Uzumeri MV (2000a) Experiential learning and forgetting for manual and cognitive tasks. Internat. J. Indust. Ergonomics 25(4):315–326.Crossref, Google Scholar
• Nembhard DA, Uzumeri MV (2000b) An individual-based description of learning within an organization. IEEE Trans. Engrg. Management 47(3):370–378.Crossref, Google Scholar
• Niño-Mora J (2008) A faster index algorithm and a computational study for bandits with switching costs. INFORMS J. Comput. 20(2):255–269.Link, Google Scholar
• Pinker EJ, Shumsky RA (2000) The efficiency-quality trade-off of cross-trained workers. Manufacturing Service Oper. Management 2(1):32–48.Link, Google Scholar
• Pisano GP, Bohmer RMJ, Edmondson AC (2001) Organizational differences in rates of learning: Evidence from the adoption of minimally invasive cardiac surgery. Management Sci. 47(6):752–768.Link, Google Scholar
• Shafer SM, Nembhard DA, Uzumeri MV (2001) The effects of worker learning, forgetting, and heterogeneity on assembly line productivity. Management Sci. 47(12):1639–1653.Link, Google Scholar
• Shaked M, Shanthikumar JG (2007) Stochastic Orders, Springer Series in Statistics (Springer, New York).Crossref, Google Scholar
• Shen H (2003) Nonparametric regression for problems involving lognormal distributions. Ph.D. dissertation, University of Pennsylvania, Philadelphia. http://search.proquest.com/docview/305307164.Google Scholar
• Shen H, Brown LD (2006) Non-parametric modelling for time-varying customer service time at a bank call centre. Appl. Stochastic Models Bus. Ind. 22(3):297–311.Crossref, Google Scholar
• Sundaram RK (2005) Generalized bandit problems. Austen-Smith D, Duggan J, eds. Social Choice and Strategic Decisions—Essays in Honor of Jeffrey S. Banks, Studies in Choice and Welfare (Springer-Verlag, Berlin), 131–162.Crossref, Google Scholar
• Uzumeri M, Nembhard D (1998) A population of learners: A new way to measure organizational learning. J. Oper. Management 16(5):515–528.Crossref, Google Scholar
• Weitzman ML (1979) Optimal search for the best alternative. Econometrica 47(3):641–654.Crossref, Google Scholar
• Whitt W (2006) The impact of increased employee retention on performance in a customer contact center. Manufacturing Service Oper. Management 8(3):235–252.Link, Google Scholar
• Whittle P (1980) Multi-armed bandits and the Gittins index. J. Roy. Statist. Soc. Ser. B 42(2):143–149.Crossref, Google Scholar
• Wiersma E (2007) Conditions that shape the learning curve: Factors that increase the ability and opportunity to learn. Management Sci. 53(12):1903–1915.Link, Google Scholar
• Yelle LE (1979) The learning curve: Historical review and comprehensive survey. Decision Sci. 10(2):302–328.Crossref, Google Scholar