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Planning Order Releases for an Assembly System with Random Operation Times

Axsäter, Sven LU (2005) In OR Spectrum: Quantitative Approaches in Management 27(2-3). p.459-470
Abstract
A multi-stage assembly network is considered. A number of end items should be delivered at a certain time. Otherwise a delay cost is incurred. End items and components that are delivered before they are needed will cause holding costs. All operation times are independent stochastic variables. The objective is to choose starting times for different operations in order to minimize the total expected costs. We suggest an approximate decomposition technique that is based on repeated application of the solution of a simpler single-stage problem. The performance of our approximate technique is compared to exact results in a numerical study.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Studies, Cost reduction, Operations research, Stochastic models, Production planning
in
OR Spectrum: Quantitative Approaches in Management
volume
27
issue
2-3
pages
459 - 470
publisher
Springer
external identifiers
  • wos:000229688000013
  • scopus:17444390501
ISSN
1436-6304
DOI
10.1007/s00291-004-0186-2
language
English
LU publication?
yes
id
f8d6131c-5dde-4d7d-a668-357597b09cfe (old id 632974)
date added to LUP
2008-02-04 12:23:56
date last changed
2017-05-07 04:26:00
@article{f8d6131c-5dde-4d7d-a668-357597b09cfe,
  abstract     = {A multi-stage assembly network is considered. A number of end items should be delivered at a certain time. Otherwise a delay cost is incurred. End items and components that are delivered before they are needed will cause holding costs. All operation times are independent stochastic variables. The objective is to choose starting times for different operations in order to minimize the total expected costs. We suggest an approximate decomposition technique that is based on repeated application of the solution of a simpler single-stage problem. The performance of our approximate technique is compared to exact results in a numerical study.},
  author       = {Axsäter, Sven},
  issn         = {1436-6304},
  keyword      = {Studies,Cost reduction,Operations research,Stochastic models,Production planning},
  language     = {eng},
  number       = {2-3},
  pages        = {459--470},
  publisher    = {Springer},
  series       = {OR Spectrum: Quantitative Approaches in Management},
  title        = {Planning Order Releases for an Assembly System with Random Operation Times},
  url          = {http://dx.doi.org/10.1007/s00291-004-0186-2},
  volume       = {27},
  year         = {2005},
}