Abstract
Rare demand is an important part of the inventory management, nevertheless there are no any appropriate analytical descriptions or numerical examples of it except separate papers where considered the possibility to describe rare demand with Poisson distribution. The divergence between forecasts and actual data could be explained by the following reasons: the first one—extreme values in preforecasting period, as well as not significant ‘length’ of the analyzed time period; the second one—taking data for the forecast from the period of conduction certain actions (sales, promo, etc.), consideration of these actions might be done with combined forecasting methods. The paper describes the approach to assessment of inventory consumption for rare demand based on Poisson distribution. Besides, the paper contains the numerical examples and analysis of the results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kersten, W., Blecker, T.: Managing Risks in Supply Chains. How to Build Reliable Collaboration in Logistics. Erich Schmidt Verlag, Berlin (2006)
Trojahn, S.: Logistics strategies for resource supply chains. Transp. Telecommun. 19(3), 244–252 (2018). https://doi.org/10.2478/ttj-2018-0021
Jackson, I., Tolujevs, J., Reggelin, T.: The combination of discrete-event simulation and genetic algorithm for solving the stochastic multi-product inventory optimization problem. Transp. Telecommun. 19(3), 233–243 (2018). https://doi.org/10.2478/ttj-2018-0020
Coyle, J., Bardi, E., Langley, C.: The Management of Business Logistics: A Supply Chain Perspective, 7th edn. South-Western Thomson Learning, Boston (2003)
Lysons, K., Farrington, B.: Purchasing and Supply Chain Management, 7th edn. Pearson Education Limited, Harlow (2006)
Wisner, J., Tan, K., Leong, G.: Supply Chain Management: A Balanced Approach, 3rd edn. Cengage Learning, South-Western, Boston (2012)
Ryzhikov, U.: Theory of Queues and Supply Management. Piter, Saint-Petersburg (2001). (in Russian)
Bowersox, D.J., Closs, D.J.: Logistical Management. The Integrated Supply Chain Process. McGraw-Hill Companies Inc., New York (1996)
Ventsel, E.S., Ovcharov L.A.: Applied Problems of Probability Theory. Radio and Communications, Moscow (1983). (in Russian)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Lukinskiy, V., Lukinskiy, V., Strimovskaya, A. (2019). Assessment of Inventory Indicators for Nomenclature Groups with Rare Demand. In: Kabashkin, I., Yatskiv (Jackiva), I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2018. Lecture Notes in Networks and Systems, vol 68. Springer, Cham. https://doi.org/10.1007/978-3-030-12450-2_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-12450-2_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12449-6
Online ISBN: 978-3-030-12450-2
eBook Packages: EngineeringEngineering (R0)