IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v180y2007i1p426-442.html
   My bibliography  Save this article

Service and cost benefits through clicks-and-mortar integration: Implications for the centralization/decentralization debate

Author

Listed:
  • Bendoly, Elliot
  • Blocher, Doug
  • Bretthauer, Kurt M.
  • Venkataramanan, M.A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Bendoly, Elliot & Blocher, Doug & Bretthauer, Kurt M. & Venkataramanan, M.A., 2007. "Service and cost benefits through clicks-and-mortar integration: Implications for the centralization/decentralization debate," European Journal of Operational Research, Elsevier, vol. 180(1), pages 426-442, July.
  • Handle: RePEc:eee:ejores:v:180:y:2007:i:1:p:426-442
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(06)00252-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Barnes-Schuster, Dawn & Bassok, Yehuda, 1997. "Direct shipping and the dynamic single-depot/multi-retailer inventory system," European Journal of Operational Research, Elsevier, vol. 101(3), pages 509-518, September.
    2. Nesim Erkip & Warren H. Hausman & Steven Nahmias, 1990. "Optimal Centralized Ordering Policies in Multi-Echelon Inventory Systems with Correlated Demands," Management Science, INFORMS, vol. 36(3), pages 381-392, March.
    3. Ashok Kumar & Leroy B. Schwarz & James E. Ward, 1995. "Risk-Pooling Along a Fixed Delivery Route Using a Dynamic Inventory-Allocation Policy," Management Science, INFORMS, vol. 41(2), pages 344-362, February.
    4. Awi Federgruen & Paul Zipkin, 1984. "Approximations of Dynamic, Multilocation Production and Inventory Problems," Management Science, INFORMS, vol. 30(1), pages 69-84, January.
    5. Chiang, Chi & Gutierrez, Genaro J., 1996. "A periodic review inventory system with two supply modes," European Journal of Operational Research, Elsevier, vol. 94(3), pages 527-547, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Snoeck, André & Winkenbach, Matthias & Fransoo, Jan C., 2023. "On-demand last-mile distribution network design with omnichannel inventory," Other publications TiSEM 83b06c9f-2a65-4aaf-880b-2, Tilburg University, School of Economics and Management.
    2. Millstein, Mitchell A. & Bilir, Canser & Campbell, James F., 2022. "The effect of optimizing warehouse locations on omnichannel designs," European Journal of Operational Research, Elsevier, vol. 301(2), pages 576-590.
    3. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    4. Mahar, Stephen & Bretthauer, Kurt M. & Venkataramanan, M.A., 2009. "The value of virtual pooling in dual sales channel supply chains," European Journal of Operational Research, Elsevier, vol. 192(2), pages 561-575, January.
    5. Gabor, Adriana F. & van Ommeren, Jan-Kees & Sleptchenko, Andrei, 2022. "An inventory model with discounts for omnichannel retailers of slow moving items," European Journal of Operational Research, Elsevier, vol. 300(1), pages 58-72.
    6. Marco Melacini & Elena Tappia, 2018. "A Critical Comparison of Alternative Distribution Configurations in Omni-Channel Retailing in Terms of Cost and Greenhouse Gas Emissions," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    7. Mitchell A. Millstein & James F. Campbell, 2018. "Total Hockey Optimizes Omnichannel Facility Locations," Interfaces, INFORMS, vol. 48(4), pages 340-356, August.
    8. Xu, Xun & Jackson, Jonathan E., 2019. "Examining customer channel selection intention in the omni-channel retail environment," International Journal of Production Economics, Elsevier, vol. 208(C), pages 434-445.
    9. Bayram, Armagan & Cesaret, Bahriye, 2021. "Order fulfillment policies for ship-from-store implementation in omni-channel retailing," European Journal of Operational Research, Elsevier, vol. 294(3), pages 987-1002.
    10. Hübner, Alexander & Hense, Jonas & Dethlefs, Christian, 2022. "The revival of retail stores via omnichannel operations: A literature review and research framework," European Journal of Operational Research, Elsevier, vol. 302(3), pages 799-818.
    11. Mahar, Stephen & Bretthauer, Kurt M. & Salzarulo, Peter A., 2011. "Locating specialized service capacity in a multi-hospital network," European Journal of Operational Research, Elsevier, vol. 212(3), pages 596-605, August.
    12. Iacocca, Kathleen & Mahar, Stephen & Daniel Wright, P., 2022. "Strategic horizontal integration for drug cost reduction in the pharmaceutical supply chain," Omega, Elsevier, vol. 108(C).
    13. MacCarthy, Bart L. & Zhang, Lina & Muyldermans, Luc, 2019. "Best Performance Frontiers for Buy-Online-Pickup-in-Store order fulfilment," International Journal of Production Economics, Elsevier, vol. 211(C), pages 251-264.
    14. Arslan, Ayşe N. & Klibi, Walid & Montreuil, Benoit, 2021. "Distribution network deployment for omnichannel retailing," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1042-1058.
    15. Goedhart, Joost & Haijema, René & Akkerman, Renzo & de Leeuw, Sander, 2023. "Replenishment and fulfilment decisions for stores in an omni-channel retail network," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1009-1022.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kim, Nayeon & Montreuil, Benoit & Klibi, Walid & Zied Babai, M., 2023. "Network inventory deployment for responsive fulfillment," International Journal of Production Economics, Elsevier, vol. 255(C).
    2. Charles J. Corbett & Kumar Rajaram, 2006. "A Generalization of the Inventory Pooling Effect to Nonnormal Dependent Demand," Manufacturing & Service Operations Management, INFORMS, vol. 8(4), pages 351-358, August.
    3. Alptekinoglu, Aydin & Tang, Christopher S., 2005. "A model for analyzing multi-channel distribution systems," European Journal of Operational Research, Elsevier, vol. 163(3), pages 802-824, June.
    4. Yossi Aviv & Awi Federgruen, 2001. "Design for Postponement: A Comprehensive Characterization of Its Benefits Under Unknown Demand Distributions," Operations Research, INFORMS, vol. 49(4), pages 578-598, August.
    5. Alfaro, José A. & Corbett, Charles J., 2000. "The value of SKU rationalization: the pooling effect under suboptimal inventory policies," DEE - Working Papers. Business Economics. WB 9917, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    6. Yuanguang Zhong & Zhichao Zheng & Mabel C. Chou & Chung-Piaw Teo, 2018. "Resource Pooling and Allocation Policies to Deliver Differentiated Service," Management Science, INFORMS, vol. 64(4), pages 1555-1573, April.
    7. Chen, Frank Y. & Feng, Youyi & Simchi-Levi, David, 2002. "Uniform distribution of inventory positions in two-echelon periodic review systems with batch-ordering policies and interdependent demands," European Journal of Operational Research, Elsevier, vol. 140(3), pages 648-654, August.
    8. Özalp Özer, 2003. "Replenishment Strategies for Distribution Systems Under Advance Demand Information," Management Science, INFORMS, vol. 49(3), pages 255-272, March.
    9. Johan Marklund & Kaj Rosling, 2012. "Lower Bounds and Heuristics for Supply Chain Stock Allocation," Operations Research, INFORMS, vol. 60(1), pages 92-105, February.
    10. Ankur Goel & Genaro J. Gutierrez, 2011. "Multiechelon Procurement and Distribution Policies for Traded Commodities," Management Science, INFORMS, vol. 57(12), pages 2228-2244, December.
    11. Bollapragada, rinivas & Akella, Ram & Srinivasan, Ramesh, 1998. "Centralized ordering and allocation policies in a two-echelon system with non-identical warehouses," European Journal of Operational Research, Elsevier, vol. 106(1), pages 74-81, April.
    12. Huang, Huei-Chuen & Song, Haiqing, 2010. "Modified base-stock policies for semiconductor production system with dependent yield rates," European Journal of Operational Research, Elsevier, vol. 207(1), pages 206-217, November.
    13. Liu, Kaijun & Zhou, Yonghong & Zhang, Zigang, 2010. "Capacitated location model with online demand pooling in a multi-channel supply chain," European Journal of Operational Research, Elsevier, vol. 207(1), pages 218-231, November.
    14. Hausman, Warren H. & Lee, Hau L. & Zhang, Alex X., 1998. "Joint demand fulfillment probability in a multi-item inventory system with independent order-up-to policies," European Journal of Operational Research, Elsevier, vol. 109(3), pages 646-659, September.
    15. James A. Rappold & John A. Muckstadt, 2000. "A computationally efficient approach for determining inventory levels in a capacitated multiechelon production‐distribution system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(5), pages 377-398, August.
    16. Mustafa Doğru & A. Kok & G. Houtum, 2013. "Newsvendor characterizations for one-warehouse multi-retailer inventory systems with discrete demand under the balance assumption," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(3), pages 541-559, September.
    17. Timo Gschwind & Stefan Irnich & Simon Emde & Christian Tilk, 2018. "Branch-Cut-and-Price for the Scheduling Deliveries with Time Windows in a Direct Shipping Network," Working Papers 1805, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    18. Asadi, Amin & Nurre Pinkley, Sarah, 2021. "A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    19. Lee, Jun-Yeon & Schwarz, Leroy B., 2009. "Leadtime management in a periodic-review inventory system: A state-dependent base-stock policy," European Journal of Operational Research, Elsevier, vol. 199(1), pages 122-129, November.
    20. Johan Marklund, 2011. "Inventory control in divergent supply chains with time‐based dispatching and shipment consolidation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(1), pages 59-71, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:180:y:2007:i:1:p:426-442. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.