Analysis of Pull Postponement by EOQ-based Models

  • T.C. Edwin ChengEmail author
  • Jian Li
  • C.L. Johnny Wan
  • Shouyang Wang
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 143)

A number of quantitative models for analyzing postponement based upon cost and time evaluation have been discussed in the literature. Most of them assumed that the product demand is uncertain. However, if the demand is deterministic, e.g., because there is a long-term supply contract between the manufacturer and the retailers, the benefits due to economies of scope and risk pooling do not exit. Thus, evaluation of postponement structures under scenarios with deterministic demand is also an important issue.


Supply Chain Total Average Cost Economic Order Quantity Scope Economy Perishable Product 
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  1. 125.
    Wan, J. C. L. 2004, Postponement Strategy in Supply Chain Management (M.Phil. Thesis), Department of Logistics, The Hong Kong Polytechnic University, Hong Kong.Google Scholar
  2. 131.
    Zipkin, P. H. 2000, Foundations of Inventory Management, International Edition, McGraw-Hill, Boston.Google Scholar
  3. 71.
    Li, J., Cheng, T. C. E. and Wang, S. Y. 2007, Analysis of postponement strategy for perishable items by EOQ-based models, International Journal of Production Economics, 107, 1, 31–38.CrossRefGoogle Scholar
  4. 126.
    Whitin, T. M. 1957, Theory of Inventory Management, Princeton University Press, New Jersey.Google Scholar
  5. 82.
    Nahmias, S. 1982, Perishable inventory theory: a review, Operations Research, 30, 680–708.CrossRefGoogle Scholar
  6. 97.
    Raafat, F. 1991, Survey of literature on continuously deterionrating inventory models, Jounal of the Operational Research Society, 42, 27–37.Google Scholar
  7. 47.
    Goyal, S. K. and Giri, B. C. 2001, Recent trends in modeling of deteriorating inventory, European Journal of Operational Research, 134, 1–16.CrossRefGoogle Scholar
  8. 106.
    Song, X. P., Cai, X. Q. and Chen, J. 2005, Studies on interaction and coordination in supply chains with perishable products: a review, in Chan, C. K. and Lee, H. W. J. (editors), Successful Strategies in Supply Chain Management, Idea Group Publishing, Hershey, PA pp. 222–248.Google Scholar
  9. 45.
    Ghare, P. M. and Schrader, G. F. 1963, A model for exponentially decaying inventory, Journal of Industrial Engineering, 14, 238–243.Google Scholar
  10. 34.
    Covert, R. B. and Philip, G. S. 1973, An EOQ model with Weibull distribution deterioration, AIIE Transactions, 5, 323–326.CrossRefGoogle Scholar
  11. 110.
    Tadikamalla, P. R. 1978, An EOQ model for items with Gamma distributed deterioration, AIIE Transactions, 10, 100–103.CrossRefGoogle Scholar
  12. 102.
    Shah, Y. K. 1977, An ordered level lot size for deteriorating items, AIIE Transactions, 9, 108–112.CrossRefGoogle Scholar
  13. 95.
    Raafat, F. 1983, A lot size inventory model for deteriorating items, in American Institute for decision sciences twelfth annual meeting-western regional conference-proceedings and Abstracts, pp. 141–143.Google Scholar
  14. 96.
    Raafat, F. 1988, An inventory model with a monotonically increasing deterioration rate function, in American Institute for decision sciences seventeenth annual meeting -western regional conference-proceedings and Abstracts, pp. 8–10.Google Scholar
  15. 48.
    Goyal, S. K. and Gunasekaran, A. 1995, An integrated production-inventory-marketing model for deteriorating items. Computers and Industrial Engineering, 28, 4, 755–762.CrossRefGoogle Scholar
  16. 127.
    Yan, H. and Cheng, T. C. E. 1998, Optimal production stopping and restarting times for an EOQ model with deteriorating items, Journal of Operational Research Society, 49, 1288–1295.Google Scholar
  17. 4.
    Arcelus, F. J., Shah, N. H. and Srinivasan, G. 2003, Retailer’s pricing, credit and inventory policies for deteriorating items in response to temporary price/credit incentives, International Journal of Production Economics, 81, 1, 153–162.CrossRefGoogle Scholar
  18. 61.
    Kanchanasuntorn, K. and Techanitisawad, A. 2006, An approximate periodic model for fixed-life perishable products in a two-echelon inventory-distribution system, International Journal of Production Economics, 100, 1, 101–115.CrossRefGoogle Scholar
  19. 36.
    Dye, C. Y. and Ouyang, L. Y. 2005, An EOQ model for perishable items under stock-dependent selling rate and time-dependent partial backlogging, European Journal of Operational Research, 163, 3, 776–783.CrossRefGoogle Scholar
  20. 90.
    Padmanabhan, G. and Vrat, P. 1995, EOQ models for perishable items under stock dependent selling rate, European Journal of Operational Research, 86, 281–292.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • T.C. Edwin Cheng
    • 1
    Email author
  • Jian Li
    • 2
  • C.L. Johnny Wan
    • 1
  • Shouyang Wang
    • 3
  1. 1.Department of Logistics & Maritime StudiesThe Hong Kong Polytechnic UniversityKowloonHong Kong SAR
  2. 2.School of Economics & Management Beijing University of Chemical Technology (BUCT)BeijingChina, People’s Republic
  3. 3.Chinese Academy of Sciences Academy of Mathematics & Systems ScienceBeijingChina, People’s Republic

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