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LT variance or LT mean reduction in supply chain management: Which one has a higher impact on SC performance?

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  • Chaharsooghi, S. Kamal
  • Heydari, Jafar

Abstract

Lead time (LT) is an inseparable factor of any supply chain (SC). Lead time uncertainty is known as a type of supply uncertainty that affects ordering policies, inventory levels, and product availability level. There are two main strategies concerning SC uncertainties: adapter and shaper strategies that can be used in environments with LT uncertainty. As for LT mean, it can be reduced by improving the performance of upstream members. In this paper, relative importance of these two parameters to be reduced by these strategies is determined by investigating the effects of both LT mean and LT variance on supply chain performance indices. Simulation and multivariate models have shown that LT variance has a stronger impact on SC performance measures (including Bullwhip effect, holding inventory, stock-out size and number of stock-outs). This study can help managers in (1) rebalancing of these two parameters by applying a proper investment strategy; (2) suitable selection of service providers in transportation based on LT parameters.

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  • Chaharsooghi, S. Kamal & Heydari, Jafar, 2010. "LT variance or LT mean reduction in supply chain management: Which one has a higher impact on SC performance?," International Journal of Production Economics, Elsevier, vol. 124(2), pages 475-481, April.
    • Handle: RePEc:eee:proeco:v:124:y:2010:i:2:p:475-481
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    1. Kim, Jeon G. & Chatfield, Dean & Harrison, Terry P. & Hayya, Jack C., 2006. "Quantifying the bullwhip effect in a supply chain with stochastic lead time," European Journal of Operational Research, Elsevier, vol. 173(2), pages 617-636, September.
    2. He, Xin James & Kim, Jeon G. & Hayya, Jack C., 2005. "The cost of lead-time variability: The case of the exponential distribution," International Journal of Production Economics, Elsevier, vol. 97(2), pages 130-142, August.
    3. Bookbinder, James H. & Cakanyildirim, Metin, 1999. "Random lead times and expedited orders in (Q,r) inventory systems," European Journal of Operational Research, Elsevier, vol. 115(2), pages 300-313, June.
    4. Kaminsky, Philip & Kaya, Onur, 2008. "Inventory positioning, scheduling and lead-time quotation in supply chains," International Journal of Production Economics, Elsevier, vol. 114(1), pages 276-293, July.
    5. Ryu, Si Wook & Lee, Kyung Keun, 2003. "A stochastic inventory model of dual sourced supply chain with lead-time reduction," International Journal of Production Economics, Elsevier, vol. 81(1), pages 513-524, January.
    6. Chauhan, Satyaveer S. & Dolgui, Alexandre & Proth, Jean-Marie, 2009. "A continuous model for supply planning of assembly systems with stochastic component procurement times," International Journal of Production Economics, Elsevier, vol. 120(2), pages 411-417, August.
    7. Das, Sanchoy K. & Abdel-Malek, Layek, 2003. "Modeling the flexibility of order quantities and lead-times in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 171-181, August.
    8. So, Kut C. & Zheng, Xiaona, 2003. "Impact of supplier's lead time and forecast demand updating on retailer's order quantity variability in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 86(2), pages 169-179, November.
    9. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    10. Leng, Mingming & Parlar, Mahmut, 2009. "Lead-time reduction in a two-level supply chain: Non-cooperative equilibria vs. coordination with a profit-sharing contract," International Journal of Production Economics, Elsevier, vol. 118(2), pages 521-544, April.
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