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                                                     Seminar

             Department of Systems Engineering and Engineering Management
                                  The Chinese University of Hong Kong

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Title

:

Optimizing Inventory-Location Decisions in the Presence of Time-Sensitive Consumer Demand

　

　

　

Speaker

:

Prof. Dmitry Krass

　

　

Rotman School of Management

　

　

University of Toronto

　

　

　

Date

:

December 7th, 2007 (Friday)

　

　

　

Time

:

4:30 p.m. - 5:30 p.m.

　

　

　

Venue

:

Room 513

　

　

William M.W. Mong Engineering Building

　

　

(Engineering Building Complex Phase 2)

　

　

CUHK

　

　

　

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Abstract:
　

We consider a problem of serving customer demand from a set of facilities where demand may be lost if the delivery cannot be made in time. Thus, both inventory and location decisions must be made simultaneously, taking into account fixed location costs, inventory-related costs and opportunity costs for lost demand. Such problems are often faced by internet-based retailers, such as Amazon.com. Both theoretical and computational results will be presented.


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Biography:
　

Dmitry Krass is a Professor of Operations Management and Statistics at the Rotman School of Management, University of Toronto, where he has been since 1989, after receiving his Ph.D. in Operations Research from Johns Hopkins University. His research interests include service operations, facility location and management issues, logistics, the study of distributive service systems, and analytical modeling in marketing. Dmitry has a wide consulting experience with a number of projects in the areas of marketing analytics and decision support systems.


************************* ALL ARE WELCOME ************************

　

　

　

Host

:

Prof. Chen, Youhua, Frank

Tel

:

(852) 2609 8310

Email

:

yhchen@se.cuhk.edu.hk

　

　

　

Enquiries

:

Prof. Nan Chen or Prof. Sean X. Zhou

　

:

Department of Systems Engineering and Engineering Management

　

　

CUHK

Website

:

http://www.se.cuhk.edu.hk/~seg5810

Email

:

seg5810@se.cuhk.edu.hk

　

　

　

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