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A holistic network model for supply chain analysis

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  • Dass, Mayukh
  • Fox, Gavin L.

Abstract

Supply chain researchers are experiencing a conceptual and analytical paradox. They are asked to move beyond dyadic analyses and investigate larger network effects with only a limited analytical toolkit. This research proposes the use of bilinear mixed-modeling to holistically analyze supply chain phenomena. Through this approach, researchers are able to account for multiple supply chain relationships, higher-order dependencies among member firms, and simultaneously evaluate covariates from buyer and seller perspectives. The model is validated through the lens of a pervasive supply chain problem commonly referred to as the bullwhip effect. A sample of firms from the US apparel industry in 2004 is analyzed and then the findings are confirmed using data from 2005. In addition to validating the model through the presence of the bullwhip effect, the bilinear model illuminates variables such as advertising, price deals, inventory turnover, and inventory backlogs that exacerbate or diminish inventory differences between firms in a supply chain. The results extend research on supply networks and supply efficiency to a more holistic level and show that higher-order dependencies are important drivers of supply chain phenomena.

Suggested Citation

  • Dass, Mayukh & Fox, Gavin L., 2011. "A holistic network model for supply chain analysis," International Journal of Production Economics, Elsevier, vol. 131(2), pages 587-594, June.
    • Handle: RePEc:eee:proeco:v:131:y:2011:i:2:p:587-594
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    1. Hoff P.D. & Raftery A.E. & Handcock M.S., 2002. "Latent Space Approaches to Social Network Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1090-1098, December.
    2. Pearson, Michael & Masson, Ron & Swain, Anthony, 2010. "Process control in an agile supply chain network," International Journal of Production Economics, Elsevier, vol. 128(1), pages 22-30, November.
    3. Luong, Huynh Trung, 2007. "Measure of bullwhip effect in supply chains with autoregressive demand process," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1086-1097, August.
    4. Towill, Denis R. & Zhou, Li & Disney, Stephen M., 2007. "Reducing the bullwhip effect: Looking through the appropriate lens," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 444-453, July.
    5. Gérard P. Cachon & Taylor Randall & Glen M. Schmidt, 2007. "In Search of the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 457-479, April.
    6. Luong, Huynh Trung & Phien, Nguyen Huu, 2007. "Measure of bullwhip effect in supply chains: The case of high order autoregressive demand process," European Journal of Operational Research, Elsevier, vol. 183(1), pages 197-209, November.
    7. Esmaeili, M. & Zeephongsekul, P., 2010. "Seller-buyer models of supply chain management with an asymmetric information structure," International Journal of Production Economics, Elsevier, vol. 123(1), pages 146-154, January.
    8. Li, Jian & Wang, Shouyang & Cheng, T.C.E., 2010. "Competition and cooperation in a single-retailer two-supplier supply chain with supply disruption," International Journal of Production Economics, Elsevier, vol. 124(1), pages 137-150, March.
    9. Pero, Margherita & Rossi, Tommaso & Noé, Carlo & Sianesi, Andrea, 2010. "An exploratory study of the relation between supply chain topological features and supply chain performance," International Journal of Production Economics, Elsevier, vol. 123(2), pages 266-278, February.
    10. Wright, David & Yuan, Xin, 2008. "Mitigating the bullwhip effect by ordering policies and forecasting methods," International Journal of Production Economics, Elsevier, vol. 113(2), pages 587-597, June.
    11. Xiao, Tiaojun & Shi, Kuiran & Yang, Danqin, 2010. "Coordination of a supply chain with consumer return under demand uncertainty," International Journal of Production Economics, Elsevier, vol. 124(1), pages 171-180, March.
    12. Bart J. Bronnenberg & Carl F. Mela, 2004. "Market Roll-Out and Retailer Adoption for New Brands," Marketing Science, INFORMS, vol. 23(4), pages 500-518, September.
    13. Holweg, Matthias & Bicheno, John, 2002. "Supply chain simulation - a tool for education, enhancement and endeavour," International Journal of Production Economics, Elsevier, vol. 78(2), pages 163-175, July.
    14. Li, Gang & Yang, Hongjiao & Sun, Linyan & Ji, Ping & Feng, Lei, 2010. "The evolutionary complexity of complex adaptive supply networks: A simulation and case study," International Journal of Production Economics, Elsevier, vol. 124(2), pages 310-330, April.
    15. Peter D. Hoff, 2005. "Bilinear Mixed-Effects Models for Dyadic Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 286-295, March.
    16. Kang, Jae-Hun & Kim, Yeong-Dae, 2010. "Coordination of inventory and transportation managements in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 123(1), pages 137-145, January.
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    2. Dass, Mayukh & Reshadi, Mehrnoosh & Li, Yuewu, 2023. "An exploration of ripple effects of advertising among major suppliers in a supply chain network," Journal of Business Research, Elsevier, vol. 169(C).

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