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Challenges and Opportunities in Attended Home Delivery

Chapter
Part of the Operations Research/Computer Science Interfaces book series (ORCS, volume 43)

Summary

In this chapter, we focus on home delivery, and, more specifically, on attended home delivery, where the consumer must be present for the delivery. To provide a high service level and to avoid delivery failures as much as possible, it is customary in attended home delivery services for the company to offer the customer a choice of narrow delivery time slots. The objective of this chapter is to highlight and illustrate issues arising in attended home delivery related to these time slots and to present and discuss promising approaches for addressing some of them. We will use Peapod, one of the more successful e-grocers, as an illustrative example.

Key words

Consumer direct home delivery e-grocery time slots 

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References

  1. 1.
    N. Agatz, A.M. Campbell, M. Fleischmann, and M. Savelsbergh. Demand management in e-fulfillment. Working Paper, RSM Erasmus University, The Netherlands (in preparation), 2007.Google Scholar
  2. 2.
    N. Agatz, A.M. Campbell, M. Fleischmann, and M. Savelsbergh. Time slot schedule design for e-fulfillment. Working Paper, RSM Erasmus University, The Netherlands (in preparation), 2007.Google Scholar
  3. 3.
    N. Agatz, M. Fleischmann, and J. van Nunen. E-fulfillment and multi-channel distribution - a review. to appear in the European Journal of Operational Research, 2007.Google Scholar
  4. 4.
    K. Asdemir, V.S. Jacob, and R. Krishnan. Dynamic pricing of home delivery. Working Paper, University of Alberta, Canada (http://www.bus.ualberta.ca/kasdemir/research.htm), 2002.Google Scholar
  5. 5.
    N. Azi, M. Gendreau, and J.-Y. Potvin. Vehicle routing for the home delivery of perishable products. Technical Report C7PQMR PO2004-21-X, CRT, 2004.Google Scholar
  6. 6.
    R. Bent and P. Van Hentenryck. Scenario-based planning for partailly dynamic vehicle routing with stochastic customers.Operations Research, 52(6):977–987, 2004.CrossRefGoogle Scholar
  7. 7.
    A. Campbell and M. Savelsbergh. Decision support for consumer direct grocery initiatives.Transportation Science, 39(3):313–327, 2005.CrossRefGoogle Scholar
  8. 8.
    A. Campbell and M. Savelsbergh. Incentive schemes for attended home delivery services.Transportation Science, 40(3):327–341, 2006.CrossRefGoogle Scholar
  9. 9.
    C.F. Daganzo. The distance traveled to visit n points with a maximum of c stops per vehicle: an analytic model and an application.Transportation Science, 18:331–350, 1984.CrossRefGoogle Scholar
  10. 10.
    W. Elmaghraby and P. Keskinocak. Dynamic pricing in the presence of inventory considerations: Research overview, current practices and future directions.Management Science, 49(10):1287–1309, 2003.CrossRefGoogle Scholar
  11. 11.
    M. Farmer and G. Sandoval. Webvan delivers its last word: Bankruptcy.News.com, 2001. Published July 9 on http://news.com.com.Google Scholar
  12. 12.
    J. Geunes, Z-J. Max Shen, and A. Emir. Planning and approximation for delivery route based services with price-sensitive demands. to appear in the European Journal of Operational Research, 2006.Google Scholar
  13. 13.
    H. Green. Fresh direct.Business Week, page 104, 2003. Published November 24.Google Scholar
  14. 14.
    S. Johns. Heuristics to schedule service engineers with time windows.The Journal of the Operational Research Society, 46(3):339–346, 1995.CrossRefGoogle Scholar
  15. 15.
    G. Kontoravdis and J. Bard. A grasp for the vehicle routing problem with time windows.ORSA Journal on Computing, 7:10–23, 1995.Google Scholar
  16. 16.
    I.I. Lin and H.S. Mahmassani. Can online grocers deliver?: Some logistics considerations.Transportation Research Record, 1817:17–24, 2002.CrossRefGoogle Scholar
  17. 17.
    O.B.G. Madsen, K. Tosti, and J. Vælds. A heuristic method for dispatching repair men.Annals of Operations Research, 61:213–226, 1995.CrossRefGoogle Scholar
  18. 18.
    S. Mulpuru, C. A. Johnson, and B.Tesch. 2005 us ecommerce: The year in review.Forrester Research, 2006. www.forrester.com.Google Scholar
  19. 19.
    T. Parkinson, 2004. executive officer and cofounder Peapod, private communication.Google Scholar
  20. 20.
    M. Punakivi and J. Saranen. Identifying the success factors in e-grocery home delivery.International Journal of Retail & Distribution Management, 29(4), 2001.Google Scholar
  21. 21.
    J. Saranen and J. Sm˙ aros. An analytical model for home delivery in the new economy. Working Paper, The ECOMLOG research program in the Department of Industrial Engineering and Management, Helsinki University of Technology, January 2001.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.RSM Erasmus University RotterdamThe Netherlands
  2. 2.Tippie College of Business Department of Management SciencesUniversity of IowaIowa City
  3. 3.H. Milton Stewart School of Industrial and Systems EngineeringGeorgia Institute of TechnologyAtlanta

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