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:	Ng, Rex T.L., Tan, Raymond Girard R., Hassim, Mimi H.
Format:	text
Published:	Animo Repository 2015
Subjects:	Biomass energy Energy consumption Chemical Engineering
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/3866
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-4330
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spelling	oai:animorepository.dlsu.edu.ph:faculty_research-43302022-07-04T01:36:17Z P-graph methodology for Bi-objective optimisation of bioenergy supply chains: Economic and safety perspectives Ng, Rex T.L. Tan, Raymond Girard R. Hassim, Mimi H. 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. Copyright © 2015, AIDIC Servizi S.r.l.,. T 2015-10-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3866 info:doi/10.3303/CET1545227 Faculty Research Work Animo Repository Biomass energy Energy consumption Chemical Engineering
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Biomass energy Energy consumption Chemical Engineering
spellingShingle	Biomass energy Energy consumption Chemical Engineering Ng, Rex T.L. Tan, Raymond Girard R. Hassim, Mimi H. P-graph methodology for Bi-objective optimisation of bioenergy supply chains: Economic and safety perspectives
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. Copyright © 2015, AIDIC Servizi S.r.l.,. T
format	text
author	Ng, Rex T.L. Tan, Raymond Girard R. Hassim, Mimi H.
author_facet	Ng, Rex T.L. Tan, Raymond Girard R. Hassim, Mimi H.
author_sort	Ng, Rex T.L.
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	Animo Repository
publishDate	2015
url	https://animorepository.dlsu.edu.ph/faculty_research/3866
_version_	1767195880331411456

P-graph methodology for Bi-objective optimisation of bioenergy supply chains: Economic and safety perspectives

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