eprintid: 7004
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/70/04
datestamp: 2023-11-09 16:18:48
lastmod: 2023-11-09 16:18:48
status_changed: 2023-11-09 16:08:14
type: article
metadata_visibility: show
creators_name: Yahyazadeh, A.
creators_name: Abd Majid, M.A.
title: Supply chain model for gas pipeline
ispublished: pub
note: cited By 0
abstract: Gas pipeline networks are widely used for gas transportation from gas sources to consumers. The main problem into the gas transfer is to accurately estimate the cost of transportation from production sites to the consumers. From the review of literatures is noted that the computation for optimization of the gas piping did not take into account the gas capacity allocated to each source, processing unit and distribution unit. Also the productive capacities of the different units are considered having the same and constant supply. The main objective of the study is to propose a linear integer programming model for gas distribution network from production sites to consumers for attainment the minimum cost of gas transportation. Incorporating variable capacity and supply of the units. Integer programming adopt the Zero-One approach for solving the model. This model simplify the analysis. The model was applied for analysis of north of Iran's gas. The result reveals that cost of transportation could be reduced approximately by 23 per cent of the transportation cost in comparison to current cost. © 2006-2016 Asian Research Publishing Network (ARPN).
date: 2016
publisher: Asian Research Publishing Network
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84977138208&partnerID=40&md5=7812c2cce77d5fc5703f83641460fb4d
full_text_status: none
publication: ARPN Journal of Engineering and Applied Sciences
volume: 11
number: 12
pagerange: 7841-7847
refereed: TRUE
issn: 18196608
citation:   Yahyazadeh, A. and Abd Majid, M.A.  (2016) Supply chain model for gas pipeline.  ARPN Journal of Engineering and Applied Sciences, 11 (12).  pp. 7841-7847.  ISSN 18196608