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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Ng, Denny K.S., Foo, Dominic Chwan Yee, Tan, Raymond Girard
التنسيق: text
منشور في: Animo Repository 2009
الموضوعات:
الوصول للمادة أونلاين:https://animorepository.dlsu.edu.ph/faculty_research/3861
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الوصف
الملخص: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.