Optimal Design and planning supply chains of multi renewable resource-based energy/material applied in process industries
Document typeConference report
Rights accessOpen Access
In this work, the effects of multi renewable resource-based energy integration in material supply chains are analysed under stochastic and deterministic conditions. The proposed approach is based on the development of a Multi-objective model to optimize the design and planning decisions of country-size SCs in the existence of conflicting objectives. A multi-scenario mixed-integer linear model is proposed and the capabilities of the approach are examined through a case study from a Sugar cane industry. The integrated energy/material supply chains model shows more economical feasibility than standalone ones and the stochastic solutions in this work demonstrate more robustness in the economic performance of the SC comparing to the deterministic one at any level of the environmental impact. In fact, the stochastic approach optimizes the conflicting objectives as well as improves the whole system robustness compared to the deterministic one and should be therefore the preferred choice in practice.
CitationMorakabatchiankar, S. [et al.]. Optimal Design and planning supply chains of multi renewable resource-based energy/material applied in process industries. A: Mediterranean Congress of Chemical Engineering. "14th Mediterranean Congress of Chemical Engineering, virtual event, 16-20 Novembre". 2020, DOI 10.48158/MeCCE-14.DG.06.06.