SALPS for Stochastic Assembly Line

Masayuki Matsui
Additional contact information
Masayuki Matsui: The University of Electro-Communications

Chapter Chapter 7 in Manufacturing and Service Enterprise with Risks II, 2014, pp 101-116 from Springer

Abstract: Abstract Numerous studies based on a deterministic or stochastic approach have examined ALSs. However, no stochastic models have yet been found that are able to deal with the simultaneous determination of cycle time and buffers simultaneous determination of cycle time and buffers . We have already presented a two stage design method for the simultaneous determination using an SCA. This chapter therefore develops SALPS for the stopper/no-stopper type using the two-stage design method two-stage design method . SALPS consists of (area) line balancing, buffer design (items/time), and a pair strategy map. This Matsui–Yamada method can adjust strategically to follow demand changes according to the pair strategy map consisting of cycle times (input) and the number of stations (output). A numerical example for SALPS performance is given and the ellipse theory in the pair strategy map is discussed.

Keywords: Cycle Time; Line Balance; Cost Coefficient; Delay Cost; Element Task (search for similar items in EconPapers)
Date: 2014
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:978-4-431-54619-1_7

Ordering information: This item can be ordered from
http://www.springer.com/9784431546191

DOI: 10.1007/978-4-431-54619-1_7

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 ().