Automated targeting for resource conservation network with interception placement

After the opportunities for maximum material recovery are exhausted through direct reuse/recycle, fresh resources consumption may be further reduced with the use of interception/regeneration processes. This paper presents an optimisation-based procedure known as automated targeting to locate the min...

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Main Authors: Ng, Denny K.S., Foo, Dominic Chwan Yee, Tan, Raymond Girard
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出版: Animo Repository 2009
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在線閱讀:https://animorepository.dlsu.edu.ph/faculty_research/3861
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-43352022-07-04T01:07:48Z Automated targeting for resource conservation network with interception placement Ng, Denny K.S. Foo, Dominic Chwan Yee Tan, Raymond Girard After the opportunities for maximum material recovery are exhausted through direct reuse/recycle, fresh resources consumption may be further reduced with the use of interception/regeneration processes. This paper presents an optimisation-based procedure known as automated targeting to locate the minimum resource consumption targets for a resource conservation network (RCN) with interception placement. The automated targeting was originally developed for mass integration by El-Halwagi and Manousiothakis (1990). Based on the concept of insight-based targeting approach, the automated targeting technique is formulated as a linear programming (LP) model for which the global optimum is guaranteed if a solution exists. A literature example is solved to illustrate the proposed approach. Copyright © 2009, AIDIC Servizi S.r.l. 2009-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3861 info:doi/10.3303/CET0918140 Faculty Research Work Animo Repository Salvage (Waste, etc.) 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 Salvage (Waste, etc.)
Chemical Engineering
spellingShingle Salvage (Waste, etc.)
Chemical Engineering
Ng, Denny K.S.
Foo, Dominic Chwan Yee
Tan, Raymond Girard
Automated targeting for resource conservation network with interception placement
description After the opportunities for maximum material recovery are exhausted through direct reuse/recycle, fresh resources consumption may be further reduced with the use of interception/regeneration processes. This paper presents an optimisation-based procedure known as automated targeting to locate the minimum resource consumption targets for a resource conservation network (RCN) with interception placement. The automated targeting was originally developed for mass integration by El-Halwagi and Manousiothakis (1990). Based on the concept of insight-based targeting approach, the automated targeting technique is formulated as a linear programming (LP) model for which the global optimum is guaranteed if a solution exists. A literature example is solved to illustrate the proposed approach. Copyright © 2009, AIDIC Servizi S.r.l.
format text
author Ng, Denny K.S.
Foo, Dominic Chwan Yee
Tan, Raymond Girard
author_facet Ng, Denny K.S.
Foo, Dominic Chwan Yee
Tan, Raymond Girard
author_sort Ng, Denny K.S.
title Automated targeting for resource conservation network with interception placement
title_short Automated targeting for resource conservation network with interception placement
title_full Automated targeting for resource conservation network with interception placement
title_fullStr Automated targeting for resource conservation network with interception placement
title_full_unstemmed Automated targeting for resource conservation network with interception placement
title_sort automated targeting for resource conservation network with interception placement
publisher Animo Repository
publishDate 2009
url https://animorepository.dlsu.edu.ph/faculty_research/3861
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