PMID- 31351605 OWN - NLM STAT- MEDLINE DCOM- 20190912 LR - 20190912 IS - 1879-2456 (Electronic) IS - 0956-053X (Linking) VI - 95 DP - 2019 Jul 15 TI - A multi-period optimisation approach for deployment and optimal design of an aerospace CFRP waste management supply chain. PG - 201-216 LID - S0956-053X(19)30294-6 [pii] LID - 10.1016/j.wasman.2019.05.002 [doi] AB - This paper presents a modelling framework for the deployment and design of aerospace CFRP (Carbon Fibre Reinforced Polymer) waste supply chain. The problem involves a multi-period Mixed Integer Linear Programming (MILP) formulation considering epsilon-constraint, lexicographic techniques and Multiple Criteria Decision Making (MCDM) tools. The methodology has been applied to a case study of France. In this model, the deployment of new recycling sites (Grinding, Pyrolysis, Supercritical Water, Microwave) is established. The system is optimised by bi-criteria optimisation including an economic objective based on cost minimisation or Net Present Value (NPV) maximisation and an environmental one (minimisation of Global Warming Potential). The potential for economic acceptability of recycled carbon fibres is assessed through a levelized cost derived from the supply chain total cost and the profitability via NPV with a range of various CFRP prices. The results show that the compromise strategy for both economic and environmental objectives leads to centralised configurations at the regions close to significant waste sources. The cooperation in the recovery system is needed to minimise cost and maximise profit. The improvement of recycling technology permits to achieve the compromise solution for both economic and environmental objectives. The results also highlight that a mix of technologies will be involved in deployment phase and that the answer is not straightforward due to the complexity of the system. The methodology is yet generic enough to be replicated in other contexts considering the upgrade of process database. CI - Copyright (c) 2019. Published by Elsevier Ltd. FAU - Vo Dong, Anh AU - Vo Dong A AD - Laboratoire de Genie Chimique, Universite de Toulouse, CNRS, INPT, UPS, Toulouse, France; Universite de Toulouse, Laboratoire de Genie Chimique, LGC UMR CNRS 5503 ENSIACET INPT - 4 allee Emile Monso - BP 44362, 31432 Toulouse Cedex 4, France. FAU - Azzaro-Pantel, Catherine AU - Azzaro-Pantel C AD - Laboratoire de Genie Chimique, Universite de Toulouse, CNRS, INPT, UPS, Toulouse, France; Universite de Toulouse, Laboratoire de Genie Chimique, LGC UMR CNRS 5503 ENSIACET INPT - 4 allee Emile Monso - BP 44362, 31432 Toulouse Cedex 4, France. Electronic address: Catherine.AzzaroPantel@ensiacet.fr. FAU - Boix, Marianne AU - Boix M AD - Laboratoire de Genie Chimique, Universite de Toulouse, CNRS, INPT, UPS, Toulouse, France; Universite de Toulouse, Laboratoire de Genie Chimique, LGC UMR CNRS 5503 ENSIACET INPT - 4 allee Emile Monso - BP 44362, 31432 Toulouse Cedex 4, France. LA - eng PT - Journal Article DEP - 20190613 PL - United States TA - Waste Manag JT - Waste management (New York, N.Y.) JID - 9884362 RN - 0 (Carbon Fiber) RN - 0 (Plastics) RN - 0 (plastic, carbon fiber reinforced) SB - IM MH - Carbon Fiber MH - France MH - Plastics MH - Recycling MH - *Waste Management OTO - NOTNLM OT - Bi-criteria optimisation OT - CFRP OT - Mixed integer linear programming OT - Multi-period approach OT - Supply chain OT - Waste management EDAT- 2019/07/29 06:00 MHDA- 2019/09/13 06:00 CRDT- 2019/07/29 06:00 PHST- 2017/08/09 00:00 [received] PHST- 2019/03/23 00:00 [revised] PHST- 2019/05/01 00:00 [accepted] PHST- 2019/07/29 06:00 [entrez] PHST- 2019/07/29 06:00 [pubmed] PHST- 2019/09/13 06:00 [medline] AID - S0956-053X(19)30294-6 [pii] AID - 10.1016/j.wasman.2019.05.002 [doi] PST - ppublish SO - Waste Manag. 2019 Jul 15;95:201-216. doi: 10.1016/j.wasman.2019.05.002. Epub 2019 Jun 13.