eprintid: 2076
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/20/76
datestamp: 2023-11-09 15:50:15
lastmod: 2023-11-09 15:50:15
status_changed: 2023-11-09 15:41:57
type: article
metadata_visibility: show
creators_name: Yusoff, N.
creators_name: Ramasamy, M.
creators_name: Yusup, S.
title: Taguchi's parametric design approach for the selection of optimization variables in a refrigerated gas plant
ispublished: pub
keywords: Manipulated variables; Optimization variables; Optimum value; Parametric design; Taguchi, Equipment testing; Gas plants; Profitability; Taguchi methods, Optimization
note: cited By 47
abstract: This paper presents a systematic procedure for selecting optimization variables in a refrigerated gas plant (RGP) using the Taguchi method. A dynamic RGP model developed under HYSYS environment is utilized as a test bed. Nine variables with three levels each are employed for optimizing RGP profit. These optimization variables are selected due to their roles as manipulated variables in controlling the process. Results are validated by comparing optimum values of RGP profit obtained through a set of HYSYS experiments and those from analyses of means. © 2010.
date: 2011
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79956317394&doi=10.1016%2fj.cherd.2010.09.021&partnerID=40&md5=904975243314ae52358cd8f36b0dfa89
id_number: 10.1016/j.cherd.2010.09.021
full_text_status: none
publication: Chemical Engineering Research and Design
volume: 89
number: 6
pagerange: 665-675
refereed: TRUE
issn: 02638762
citation:   Yusoff, N. and Ramasamy, M. and Yusup, S.  (2011) Taguchi's parametric design approach for the selection of optimization variables in a refrigerated gas plant.  Chemical Engineering Research and Design, 89 (6).  pp. 665-675.  ISSN 02638762