Risk and Safety Stock Management in Production Planning and Inventory Control with Stochastic Demand and Yield
Karl Inderfurth
Additional contact information
Karl Inderfurth: Otto-von-Guericke-Universität
A chapter in Perspectives on Operations Research, 2006, pp 277-292 from Springer
Abstract:
Abstract Production planning and inventory control is facing challenging risk management problems if it is confronted with uncertainties from both the demand and the process side. By analyzing the respective planning problems with methods of stochastic inventory control it is possible to gain remarkably deep insights into the way how optimal reorder and safety stock management responds to joint demand and yield risks. These insights can be exploited to assess and improve the simple type of risk management rules employed in MRP systems to cope with uncertainties in demand and production yield.
Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-8350-9064-4_16
Ordering information: This item can be ordered from
http://www.springer.com/9783835090644
DOI: 10.1007/978-3-8350-9064-4_16
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().