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An EOQ model for MRO customers under stochastic price to quantify bullwhip effect for the manufacturer

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  • Sodhi, ManMohan S.
  • Sodhi, Navdeep S.
  • Tang, Christopher S.

Abstract

Motivated by a particular multinational cutting-tools manufacturer, we extend the traditional economic order quantity (EOQ) model for maintenance-repair-and-overhaul (MRO) customers under stochastic purchase price and use it to show how price variance leads to bullwhip effect for the MRO manufacturer despite constant consumption by the customer. Our extension of the EOQ model is based on two assumptions that are reasonable for MRO customers: (a) customer consumption rate of the product is constant; and (b) the customer places each order when the inventory level drops to a pre-specified level (say, zero). We determine the customer's optimal ordering quantity in closed form expressions, which enables us to examine the impact of sales price variance on the variance in the orders the customer places on the manufacturer, thus creating a pricing-induced bullwhip effect. We then extend our analysis to multiple products and multiple customer segments and discuss ways for the manufacturer to mitigate the variance in the customer's orders.

Suggested Citation

  • Sodhi, ManMohan S. & Sodhi, Navdeep S. & Tang, Christopher S., 2014. "An EOQ model for MRO customers under stochastic price to quantify bullwhip effect for the manufacturer," International Journal of Production Economics, Elsevier, vol. 155(C), pages 132-142.
  • Handle: RePEc:eee:proeco:v:155:y:2014:i:c:p:132-142
    DOI: 10.1016/j.ijpe.2013.12.020
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    1. Gunasekaran, Angappa & McGaughey, Ronald E. & Ngai, Eric W.T. & Rai, Bharatendra K., 2009. "E-Procurement adoption in the Southcoast SMEs," International Journal of Production Economics, Elsevier, vol. 122(1), pages 161-175, November.
    2. Özelkan, Ertunga C. & ÇakanyIldIrIm, Metin, 2009. "Reverse bullwhip effect in pricing," European Journal of Operational Research, Elsevier, vol. 192(1), pages 302-312, January.
    3. Uday S. Karmarkar, 1981. "Equalization of Runout Times," Operations Research, INFORMS, vol. 29(4), pages 757-762, August.
    4. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    5. Sodhi, ManMohan S. & Tang, Christopher S., 2011. "The incremental bullwhip effect of operational deviations in an arborescent supply chain with requirements planning," European Journal of Operational Research, Elsevier, vol. 215(2), pages 374-382, December.
    6. Christopher S. Tang & Serguei Netessine (ed.), 2009. "Consumer-Driven Demand and Operations Management Models," International Series in Operations Research and Management Science, Springer, edition 1, number 978-0-387-98026-3, December.
    7. Hamister, James W. & Suresh, Nallan C., 2008. "The impact of pricing policy on sales variability in a supermarket retail context," International Journal of Production Economics, Elsevier, vol. 111(2), pages 441-455, February.
    8. Robin Roundy, 1989. "Rounding Off to Powers of Two in Continuous Relaxations of Capacitated Lot Sizing Problems," Management Science, INFORMS, vol. 35(12), pages 1433-1442, December.
    9. Khan, M. & Jaber, M.Y. & Guiffrida, A.L. & Zolfaghari, S., 2011. "A review of the extensions of a modified EOQ model for imperfect quality items," International Journal of Production Economics, Elsevier, vol. 132(1), pages 1-12, July.
    10. Teck-Hua Ho & Christopher S. Tang & David R. Bell, 1998. "Rational Shopping Behavior and the Option Value of Variable Pricing," Management Science, INFORMS, vol. 44(12-Part-2), pages 145-160, December.
    11. Donald Erlenkotter, 1990. "Ford Whitman Harris and the Economic Order Quantity Model," Operations Research, INFORMS, vol. 38(6), pages 937-946, December.
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    3. Sadeghi, Ahmad, 2015. "Providing a measure for bullwhip effect in a two-product supply chain with exponential smoothing forecasts," International Journal of Production Economics, Elsevier, vol. 169(C), pages 44-54.

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