Optimal design of supply chains by P-graph framework under uncertainties

Zoltan Stile, B. Bertók, F. Friedler, L. T. Fan

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

The utilization of renewable resources poses new challenges to process design. Consumption of renewable raw materials, or feedstock, often encounter limitations and uncertainties that are foreign to the design of processes based on fossil fuels whose availability is presumably uninterruptible. The algorithms and software of the graphtheoretic method based on process graphs (P-graphs) are elaborated for generating optimal and near-optimal supply networks for manufacturing a set of products at certain production levels with given reliabilities. Apparently, the sole currently available approach capable of rigorously and efficiently executing optimal process-network synthesis is that based on the P-graph framework. The approach leads to an algorithmically and mathematically proven solution for all steps involved. Such steps comprise superstructure generation, construction of the mathematical model, optimization, and the solution interpretation. The proposed method is illustrated with an example involving the utilization of renewable feedstock, namely agricultural products, whose uninterrupted availability tends to be uncertain.

Original languageEnglish
Pages (from-to)453-458
Number of pages6
JournalChemical Engineering Transactions
Volume25
DOIs
Publication statusPublished - 2011

Fingerprint

Feedstocks
Supply chains
Availability
Agricultural products
Fossil fuels
Process design
Raw materials
Mathematical models
Uncertainty
Optimal design

ASJC Scopus subject areas

  • Chemical Engineering(all)

Cite this

Optimal design of supply chains by P-graph framework under uncertainties. / Stile, Zoltan; Bertók, B.; Friedler, F.; Fan, L. T.

In: Chemical Engineering Transactions, Vol. 25, 2011, p. 453-458.

Research output: Contribution to journalArticle

@article{dc2bb3df439849928aa81192fb717fea,
title = "Optimal design of supply chains by P-graph framework under uncertainties",
abstract = "The utilization of renewable resources poses new challenges to process design. Consumption of renewable raw materials, or feedstock, often encounter limitations and uncertainties that are foreign to the design of processes based on fossil fuels whose availability is presumably uninterruptible. The algorithms and software of the graphtheoretic method based on process graphs (P-graphs) are elaborated for generating optimal and near-optimal supply networks for manufacturing a set of products at certain production levels with given reliabilities. Apparently, the sole currently available approach capable of rigorously and efficiently executing optimal process-network synthesis is that based on the P-graph framework. The approach leads to an algorithmically and mathematically proven solution for all steps involved. Such steps comprise superstructure generation, construction of the mathematical model, optimization, and the solution interpretation. The proposed method is illustrated with an example involving the utilization of renewable feedstock, namely agricultural products, whose uninterrupted availability tends to be uncertain.",
author = "Zoltan Stile and B. Bert{\'o}k and F. Friedler and Fan, {L. T.}",
year = "2011",
doi = "10.3303/CET1125076",
language = "English",
volume = "25",
pages = "453--458",
journal = "Chemical Engineering Transactions",
issn = "1974-9791",
publisher = "AIDIC-Italian Association of Chemical Engineering",

}

TY - JOUR

T1 - Optimal design of supply chains by P-graph framework under uncertainties

AU - Stile, Zoltan

AU - Bertók, B.

AU - Friedler, F.

AU - Fan, L. T.

PY - 2011

Y1 - 2011

N2 - The utilization of renewable resources poses new challenges to process design. Consumption of renewable raw materials, or feedstock, often encounter limitations and uncertainties that are foreign to the design of processes based on fossil fuels whose availability is presumably uninterruptible. The algorithms and software of the graphtheoretic method based on process graphs (P-graphs) are elaborated for generating optimal and near-optimal supply networks for manufacturing a set of products at certain production levels with given reliabilities. Apparently, the sole currently available approach capable of rigorously and efficiently executing optimal process-network synthesis is that based on the P-graph framework. The approach leads to an algorithmically and mathematically proven solution for all steps involved. Such steps comprise superstructure generation, construction of the mathematical model, optimization, and the solution interpretation. The proposed method is illustrated with an example involving the utilization of renewable feedstock, namely agricultural products, whose uninterrupted availability tends to be uncertain.

AB - The utilization of renewable resources poses new challenges to process design. Consumption of renewable raw materials, or feedstock, often encounter limitations and uncertainties that are foreign to the design of processes based on fossil fuels whose availability is presumably uninterruptible. The algorithms and software of the graphtheoretic method based on process graphs (P-graphs) are elaborated for generating optimal and near-optimal supply networks for manufacturing a set of products at certain production levels with given reliabilities. Apparently, the sole currently available approach capable of rigorously and efficiently executing optimal process-network synthesis is that based on the P-graph framework. The approach leads to an algorithmically and mathematically proven solution for all steps involved. Such steps comprise superstructure generation, construction of the mathematical model, optimization, and the solution interpretation. The proposed method is illustrated with an example involving the utilization of renewable feedstock, namely agricultural products, whose uninterrupted availability tends to be uncertain.

UR - http://www.scopus.com/inward/record.url?scp=79956282555&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79956282555&partnerID=8YFLogxK

U2 - 10.3303/CET1125076

DO - 10.3303/CET1125076

M3 - Article

AN - SCOPUS:79956282555

VL - 25

SP - 453

EP - 458

JO - Chemical Engineering Transactions

JF - Chemical Engineering Transactions

SN - 1974-9791

ER -