Abstract
The aim of this research is to demonstrate that supply chains by their very nature will experience stochastic rather than deterministic lead times. The presented study focuses on simulating delivery lead times in supply chains, where each echelon is servicing the next downstream member from inventory. The aim is to highlight the need for increased research focus on supply chains with stochastic lead times. Through a simple numerical example we conclusively show that lead times in any real supply chain following a re-order point method must be stochastic even in the case where lead times between individual echelons are in fact deterministic.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Forrester, J.W.: Industrial Dynamics, 1st edn. The M.I.T. Press, Cambridge (1961)
Sitek, P., Wikarek, J.: A hybrid approach to the optimization of multiechelon systems. Math. Probl. Eng. (2015). Article number 925675
Sitek, P., Nielsen, I.E., Wikarek, J.: A hybrid multi-agent approach to the solving supply chain problems. Procedia Comput. Sci. 35(C), 1557–1566 (2014)
Chen, F., Drezner, Z., Ryan, J.K., Simchi-Levi, D.: Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times, and information. Manag. Sci. 46(3), 436–443 (2000)
Michna, Z., Nielsen, I.E., Nielsen, P.: The bullwhip effect in supply chains with stochastic lead times. Math. Econ. 9(16), 71–88 (2013)
Wang, X., Disney, S.M.: Mitigating variance amplification under stochastic lead-time: the proportional control approach. Eur. J. Oper. Res. 256(1), 151–162 (2017)
Bagchi, U., Hayya, J.C., Chu, C.-H.: The effect of lead-time variability: the case of independent demand. J. Oper. Manag. 6(2), 159–177 (1986)
Chatfield, D.C., Kim, J.G., Harrison, T.P., Hayya, J.C.: The bullwhip effect - Impact of stochastic lead time, information quality, and information sharing: a simulation study. Prod. Oper. Manag. 13(4), 340–353 (2004)
Duc, T.T.H., Luong, H.T., Kim, Y.D.: A measure of the bullwhip effect in supply chains with stochastic lead time. Int. J. Adv. Manuf. Technol. 38(11–12), 1201–1212 (2008)
Kim, J.G., Chatfield, D., Harrison, T.P., Hayya, J.C.: Quantifying the bullwhip effect in a supply chain with stochastic lead time. Eur. J. Oper. Res. 173(2), 617–636 (2006)
Do, N.A.D., Nielsen, P., Michna, Z., Nielsen, I.E.: Quantifying the Bullwhip Effect of multi-echelon system with stochastic dependent lead time. In: Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World: IFIP WG 5.7 International Conference, Proceedings, Part I, vol. 438, pp. 419–426. Springer, Heidelberg (2014)
Silver, E.A., Pyke, D.F., Peterson, R.: Inventory Management and Production Planning and Scheduling, 3 ed. Wiley, Hoboken (1998)
Disney, S.M., Maltz, A., Wang, X., Warburton, R.D.H.: Inventory management for stochastic lead times with order crossovers. Eur. J. Oper. Res. 248(2), 473–486 (2016)
Nielsen, P., Michna, Z., Do, N.A.D.: An Empirical Investigation of Lead Time Distributions. In: Grabot, B., Vallespir, B., Gomes, S., Bouras, A., Kiritsis, D. (eds.) APMS 2014. IAICT, vol. 438, pp. 435–442. Springer, Heidelberg (2014). doi:10.1007/978-3-662-44739-0_53
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Nielsen, P., Michna, Z., Nielsen, I. (2018). The Actual Nature of Lead Times in Supply Chains Following a Strict Reorder Point Based Approach. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017. ISAT 2017. Advances in Intelligent Systems and Computing, vol 657. Springer, Cham. https://doi.org/10.1007/978-3-319-67223-6_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-67223-6_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67222-9
Online ISBN: 978-3-319-67223-6
eBook Packages: EngineeringEngineering (R0)