Order-up-to Networked Policy for Periodic-Review Goods Distribution Systems with Delay
Przemyslaw Ignaciuk
2015
Abstract
In this paper, inventory control problem in goods distribution networks with non-negligible transshipment delay is addressed. In contrast to the majority of earlier approaches, system modeling and policy design do not assume simplified system structure, such as a serial, or a tree-like one. The network nodes, in addition to satisfying market demand, answer internal requests with delay spanning multiple periods. The stock in the network is refilled from uncapacited outside sources. A dynamic model of the considered class of goods distribution systems is constructed and a new inventory policy is formulated. The proposed policy shares similarity with the classical order-up-to one, yet provide improved performance owing to the networked perspective assumed in the design process.
References
- Cattani, K.D., Jacobs, F.R., Schoenfelder, J. 2011. Common inventory modeling assumptions that fall short: Arborescent networks, Poisson demand, and single-echelon approximations. Journal of Operations Management 29(5): 488-499.
- Chen, C., Drezner, Z., Ryan, J.K., Simchi-Levi, D. 2000. Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times, and information. Management Science 46(3): 436-443.
- Hoberg, K., Bradley, J.R., Thonemann, U.W. 2007. Analyzing the effect of the inventory policy on order and inventory variability with linear control theory. European Journal of Operational Research 176(3): 1620-1642.
- Ignaciuk, P. 2012. Dead-time compensation in continuousreview perishable inventory systems with multiple supply alternatives. Journal of Process Control 22(5): 915-924.
- Ignaciuk, P. 2014. Nonlinear inventory control with discrete sliding modes in systems with uncertain delay. IEEE Transactions on Industrial Informatics 10(1): 559-568.
- Ignaciuk, P., Bartoszewicz, A. 2011. Dead-beat and reaching-law-based sliding-mode control of perishable inventory systems. Bulletin of the Polish Academy of Sciences: Technical Sciences 59(1): 39-49.
- Ignaciuk, P. & Bartoszewicz, A. 2012. Sliding mode deadbeat control of perishable inventory systems with multiple suppliers. IEEE Transactions on Automation Science and Engineering 9(12): 418-423.
- Kim, C.O., Jun, J., Baek, J.K., Smith, R.L., Kim, Y.D. 2005. Adaptive inventory control models for supply chain management. International Journal of Advanced Manufacturing Technology 26(9-10): 1184-1192.
- Movahed, K.K., Zhang, Z.-H. 2013. Robust design of (s, S) inventory policy parameters in supply chains with demand and lead time uncertainties. International Journal of Systems Science, in press.
- Silver, E.A., Pyke, D.F. & Peterson, R. 1998. Inventory Management and Production Planning and Scheduling. Hoboken: John Wiley & Sons, Inc.
- Song, D.-P. 2009. Optimal integrated ordering and production policy in a supply chain with stochastic lead-time, processing-time, and demand. IEEE Transactions on Automatic Control 54(9): 2027-2041.
Paper Citation
in Harvard Style
Ignaciuk P. (2015). Order-up-to Networked Policy for Periodic-Review Goods Distribution Systems with Delay . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, pages 498-503. DOI: 10.5220/0005561604980503
in Bibtex Style
@conference{icinco15,
author={Przemyslaw Ignaciuk},
title={Order-up-to Networked Policy for Periodic-Review Goods Distribution Systems with Delay},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2015},
pages={498-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005561604980503},
isbn={978-989-758-123-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Order-up-to Networked Policy for Periodic-Review Goods Distribution Systems with Delay
SN - 978-989-758-123-6
AU - Ignaciuk P.
PY - 2015
SP - 498
EP - 503
DO - 10.5220/0005561604980503