Abstract
Service-based economies and business models have gained significant importance in recent times. The clients and service providers exchange value through service interactions and reach service outcomes. Service requests of a client can vary greatly in the skills required to fulfill the request, expected turn-around time, and the context of the client’s business needs. As a result, automation of service operations has been limited and service delivery is largely a labor-intensive business. Hence, it is crucial to optimize labor costs while maintaining the desired quality of service. In this chapter, we describe a study where the stochastic optimization methods have been applied to minimize labor costs in a service system. This chapter is based on [2,3,6].
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Bhatnagar, S., Prasad, H., Prashanth, L. (2013). Service Systems. In: Stochastic Recursive Algorithms for Optimization. Lecture Notes in Control and Information Sciences, vol 434. Springer, London. https://doi.org/10.1007/978-1-4471-4285-0_12
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DOI: https://doi.org/10.1007/978-1-4471-4285-0_12
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4284-3
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