Lot-Sizing Models Using Multi-dimensional Clearing Functions

Hubert Missbauer and Reha Uzsoy
Additional contact information
Hubert Missbauer: University of Innsbruck
Reha Uzsoy: North Carolina State University

Chapter Chapter 9 in Production Planning with Capacitated Resources and Congestion, 2020, pp 221-237 from Springer

Abstract: Abstract The order release models described in this volume rely heavily on the functional relationship between the expected output of a production resource and its expected workload which, as discussed in Chap. 2 for the case of steady-state queues, is related to the expected cycle time by Little’s Law. This relationship is significantly affected by various decision rules used within the PPC system, such as scheduling policies on the shop floor. Lot sizing, the decision as to how much of a product to produce each time a machine is set up for the product, is of particular importance in this respect. For a given production quantity, determined by the master production schedule, the lot sizes influence capacity utilization (via the amount of setup time required on the resource in a planning period), the mean and variance of the interarrival times (via the number and size of production lots), and the mean and variance of the service times (via the lot sizes). Following the discussion in Chap. 2 , we begin this section with insights from simple queueing models, and then show how these can be used to develop a system of multivariate clearing functions to address a dynamic lot-sizing problem.

Date: 2020
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:sprchp:978-1-0716-0354-3_9

Ordering information: This item can be ordered from
http://www.springer.com/9781071603543

DOI: 10.1007/978-1-0716-0354-3_9

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 ().