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: | , , |
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| Format: | text |
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Animo Repository
2009
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/3861 |
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| Institution: | De La Salle University |
| Summary: | 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. |
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