Inventory Planning and Lot-Sizing

Thomas Hanne and Rolf Dornberger
Additional contact information
Thomas Hanne: University of Applied Sciences and Arts Northwestern Switzerland
Rolf Dornberger: University of Applied Sciences and Arts Northwestern Switzerland

Chapter Chapter 4 in Computational Intelligence in Logistics and Supply Chain Management, 2017, pp 73-97 from Springer

Abstract: Abstract In this chapter we discuss problems in inventory planning and related planning tasks such as determining lot sizes for procurement or production. After a motivation of the importance of inventory planning we first discus basic models in inventory management such as the well-known equation for calculating economic order quantities. After that we discuss more complex lot-sizinglot-sizing problems sizing models and related solution approaches from computational intelligence. After that some more detailed problems in the planning of warehouse operations and questions concerning the determination of specific storage locationsstorage locations are treated. The last section of this chapter discusses some inventory routinginventory routing models which combine the planning of inventory with the planning of transport tasks.

Keywords: Planning Horizon; Capacity Constraint; Inventory Level; Safety Stock; Economic Order Quantity (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

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:isochp:978-3-319-40722-7_4

Ordering information: This item can be ordered from
http://www.springer.com/9783319407227

DOI: 10.1007/978-3-319-40722-7_4

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().