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Vrije Universiteit Amsterdam On the 2005 Markov lecture by Avi Mandelbaum: Building a theory for managing capacity in the service sector Ger Koole, VU.

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Presentation on theme: "Vrije Universiteit Amsterdam On the 2005 Markov lecture by Avi Mandelbaum: Building a theory for managing capacity in the service sector Ger Koole, VU."— Presentation transcript:

1 vrije Universiteit Amsterdam On the 2005 Markov lecture by Avi Mandelbaum: Building a theory for managing capacity in the service sector Ger Koole, VU Amsterdam

2 vrije Universiteit Amsterdam Services Characteristic: customer part of the process Examples: hospitals, finance, leisure industry Other activities such as manufacturing become service-oriented Examples: Customized car or computer, focus on after sales Focus on matching demand and supply, service level vs. costs

3 vrije Universiteit Amsterdam Management of services Generic study of services: service engineering Ex. common aspect of services: unpredictable arrival processes, customer abandonments Dominant role of managing service capacity and thus queueing: queueing science (term introduced by Avi) More than queueing theory: also statistics, behavioral sciences, etc.

4 vrije Universiteit Amsterdam Call centers Call centers are a typical product of modern service economies: –Personalized (by definition) –Efficient “Mass customization”

5 vrije Universiteit Amsterdam Service engineering Systematic study of call centers –Data analysis –Human behavior –Queueing models (“Erlang A”) Undertaken by Avi’s Technion group with many distinguished co-authors

6 vrije Universiteit Amsterdam Square root staffing Erlang C/A is a black box Square-root staffing quantifies economies of scale Halfin-Whitt for M/M/s Avi and co-authors applied this to many other systems

7 vrije Universiteit Amsterdam Current developments Shared service centers SLAs for internal services Outsourcing/offshoring Increasing use of “new” channels (email, etc) Increasing complexity through multiple skills

8 vrije Universiteit Amsterdam Research challenges Routing of calls of different types/channels Scheduling of agents in multi-skill/channel environment Dealing with uncertainties (for example, in arrival parameters) Very relevant to practice!


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