scholarly journals A hybrid multi-stage stochastic programming-robust optimization model for maximizing the supply chain of a forest-based biomass power plant considering uncertainties

2016 ◽  
Vol 112 ◽  
pp. 3285-3293 ◽  
Author(s):  
Nazanin Shabani ◽  
Taraneh Sowlati
Keyword(s):  
Supply Chain ◽  
Power Plant ◽  
Stochastic Programming ◽  
Robust Optimization ◽  
Optimization Model ◽  
Multi Stage ◽  
Biomass Power Plant

scholarly journals Transport Cost Estimation Model of the Agroforestry Biomass in a Small-Scale Energy Chain

2020 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
Giulio Sperandio ◽  
Andrea Acampora ◽  
Vincenzo Civitarese ◽  
Sofia Bajocco ◽  
Marco Bascietto
Keyword(s):  
Supply Chain ◽  
Power Plant ◽  
Central Italy ◽  
Biomass Energy ◽  
Transport Cost ◽  
Small Scale ◽  
Economic Sustainability ◽  
Transport Costs ◽  
Energy Chain ◽  
Biomass Power Plant

The delivery of biomass products from the production place to the point of final use is of fundamental importance within the constitution of energy chains based on biomass use as renewable energy source. In fact, transport can be one of the most economically expensive operations of the entire biomass energy production process. In this work, a geographic identification, through remote sensing and photo-interpretation, of the different biomass sources was used to estimate the potential available biomass for energy in a small-scale supply chain. The economic sustainability of transport costs was calculated for different types of biomass sources available close to a biomass power plant of a small-scale energy supply chain, in central Italy. The proposed analysis allows us to highlight and visualize on the map the areas of the territory characterized by greater economic sustainability in terms of lower transport costs of residual agroforestry biomass from the collection point to the final point identified with the biomass power plant. The higher transport cost was around € 40 Mg−1, compared to the lowest of € 12 Mg−1.

scholarly journals Robust Optimization Model with Shared Uncertain Parameters in Multi-Stage Logistics Production and Inventory Process

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 211
Author(s):  
Lijun Xu ◽  
Yijia Zhou ◽  
Bo Yu
Keyword(s):  
Robust Optimization ◽  
Optimization Model ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Uncertain Parameters ◽  
Worst Case ◽  
Robust Model ◽  
Multi Stage ◽  
Proposed Model ◽  
Dual Forms

In this paper, we focus on a class of robust optimization problems whose objectives and constraints share the same uncertain parameters. The existing approaches separately address the worst cases of each objective and each constraint, and then reformulate the model by their respective dual forms in their worst cases. These approaches may result in that the value of uncertain parameters in the optimal solution may not be the same one as in the worst case of each constraint, since it is highly improbable to reach their worst cases simultaneously. In terms of being too conservative for this kind of robust model, we propose a new robust optimization model with shared uncertain parameters involving only the worst case of objectives. The proposed model is evaluated for the multi-stage logistics production and inventory process problem. The numerical experiment shows that the proposed robust optimization model can give a valid and reasonable decision in practice.

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