By Subramanian Senthilkannan Muthu

This publication contains information at the environmental implications of recycling, modeling of recycling, processing of recycled fabrics, recycling strength of fabrics, characterisation of recycled fabrics, opposite logistics, case experiences of recycling numerous fabrics etc.

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The model is divided into two main parts, one for the placement of facilities determines the optimal location for each entity (accumulation centres, decontamination centres, and sorting centres). The other part models the transport routes from one facility to another. Finally, a single MILP is constructed for the optimisation of cost and carbon footprint subject to a set of restrictions obtained from the described model entities. Currently this model is specific to the Slovenian ecosystem, and considers only three types of waste wood: wood suitable for reuse, wood of poor quality used for energy (E), and wood destined for landfilling (J).

We decided to implement the job queue to support multiple simultaneous users committing different instances of a model for computation. Furthermore, this also solves possible race conditions and minimises the impact on limited hardware resources. The jobs from the queue are processed using MATLAB in a first in, first out fashion. After the computation is complete the result is parsed using a PHP script, saved into a local MySQL database, and finally the client is notified about the results to be viewed and inspected.

The authors would also like to acknowledge Aleksandar Todorović’s help in detailing of the reverse logistic model. References Andel T (1995) There’s power in numbers. Transp Distrib 36(8):67–68 Barros AI, Dekker R, Scholten V (1998) A two-level network for recycling sand: a case study. Eur J Oper Res 110(2):199–214 Bejune JJ (2001) Wood use trends in the pallet and container industry: 1992–1999 (Doctoral dissertation, Virginia Polytechnic Institute and State University) Bundesministerium für Bildung und Forschung/Federal Ministry of Education and Research (BMBF) (2014) The new high tech strategy innovations for Germany.

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