Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/30497
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | VAN NIEUWENHUYSE, Inneke | - |
dc.contributor.author | Vandaele, N | - |
dc.contributor.author | Rajaram, K | - |
dc.contributor.author | Karmarkar, US | - |
dc.date.accessioned | 2020-02-12T11:54:59Z | - |
dc.date.available | 2020-02-12T11:54:59Z | - |
dc.date.issued | 2007 | - |
dc.date.submitted | 2020-02-05T18:52:32Z | - |
dc.identifier.citation | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 179 (2) , p. 424 -443 | - |
dc.identifier.uri | http://hdl.handle.net/1942/30497 | - |
dc.description.abstract | This paper studies the impact of management policies, such as product allocation and campaign sizing, on the required size of the finished goods inventories in a multi-product multi-reactor batch process. Demand, setup and batch processing times for these products are assumed to be stochastic, and the inventory buffer for every product type needs to be such that target customer service levels are met. To perform this analysis, we develop a queueing model that allows us to explicitly estimate service levels as a function of the buffer size, and the allocation/campaign sizing policies. This model can be used to evaluate the service level given an existing buffer configuration, as well as to determine the buffer sizes required across products to meet a pre-specified service level. It also allows us to formulate a number of insights into how product allocation decisions and campaign planning policies affect buffer sizing decisions in symmetric production systems. (c) 2006 Elsevier B.V. All rights reserved. | - |
dc.description.sponsorship | The lead author would like to thank Dr. Bram Foubert (University of Maastricht) for his help in derivingpart of the analytical proofs | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.rights | Elsevier B.V. All rights reserved | - |
dc.subject.other | queueing | - |
dc.subject.other | campaign sizing | - |
dc.subject.other | product allocation | - |
dc.subject.other | (semi)process industries | - |
dc.title | Buffer sizing in multi-product multi-reactor batch processes: Impact of allocation and campaign sizing policies | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 443 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 424 | - |
dc.identifier.volume | 179 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.source.type | Article | - |
dc.identifier.doi | 10.1016/j.ejor.2006.03.020 | - |
dc.identifier.isi | WOS:000243292800011 | - |
dc.identifier.eissn | - | |
local.provider.type | Web of Science | - |
local.uhasselt.uhpub | no | - |
item.fullcitation | VAN NIEUWENHUYSE, Inneke; Vandaele, N; Rajaram, K & Karmarkar, US (2007) Buffer sizing in multi-product multi-reactor batch processes: Impact of allocation and campaign sizing policies. In: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 179 (2) , p. 424 -443. | - |
item.fulltext | With Fulltext | - |
item.contributor | VAN NIEUWENHUYSE, Inneke | - |
item.contributor | Vandaele, N | - |
item.contributor | Rajaram, K | - |
item.contributor | Karmarkar, US | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 0377-2217 | - |
crisitem.journal.eissn | 1872-6860 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
EJOR_2007_publication.pdf Restricted Access | Published version | 297.55 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
11
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
10
checked on Sep 28, 2024
Page view(s)
36
checked on Sep 7, 2022
Download(s)
4
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.