P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety Perspectives

P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety Perspectives

This paper presents an approach to the planning of bioenergy supply chains, taking into account both total cost minimisation and supply chain risk reduction via Process graph (P-graph). The supply chain risk is accounted for in terms of transportation fatalities computed in an actuarial manner. An i...

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Main Authors: R.T.L. Ng, R.R. Tan, M.H. Hassim
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2015-09-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/4634
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spelling doaj-52336d0cc3a84c22b9537ae14232d9c82021-02-20T21:03:45ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162015-09-014510.3303/CET1545227P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety PerspectivesR.T.L. NgR.R. TanM.H. HassimThis paper presents an approach to the planning of bioenergy supply chains, taking into account both total cost minimisation and supply chain risk reduction via Process graph (P-graph). The supply chain risk is accounted for in terms of transportation fatalities computed in an actuarial manner. An illustrative example based on Malaysian palm-based bioenergy supply chain is solved to illustrate the proposed approach.https://www.cetjournal.it/index.php/cet/article/view/4634
collection DOAJ
language English
format Article
sources DOAJ
author R.T.L. Ng
R.R. Tan
M.H. Hassim
spellingShingle R.T.L. Ng
R.R. Tan
M.H. Hassim
P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety Perspectives
Chemical Engineering Transactions
author_facet R.T.L. Ng
R.R. Tan
M.H. Hassim
author_sort R.T.L. Ng
title P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety Perspectives
title_short P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety Perspectives
title_full P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety Perspectives
title_fullStr P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety Perspectives
title_full_unstemmed P-Graph Methodology for Bi-objective Optimisation of Bioenergy Supply Chains: Economic and Safety Perspectives
title_sort p-graph methodology for bi-objective optimisation of bioenergy supply chains: economic and safety perspectives
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2015-09-01
description This paper presents an approach to the planning of bioenergy supply chains, taking into account both total cost minimisation and supply chain risk reduction via Process graph (P-graph). The supply chain risk is accounted for in terms of transportation fatalities computed in an actuarial manner. An illustrative example based on Malaysian palm-based bioenergy supply chain is solved to illustrate the proposed approach.
url https://www.cetjournal.it/index.php/cet/article/view/4634
work_keys_str_mv AT rtlng pgraphmethodologyforbiobjectiveoptimisationofbioenergysupplychainseconomicandsafetyperspectives
AT rrtan pgraphmethodologyforbiobjectiveoptimisationofbioenergysupplychainseconomicandsafetyperspectives
AT mhhassim pgraphmethodologyforbiobjectiveoptimisationofbioenergysupplychainseconomicandsafetyperspectives
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