Incorporating supply-chain actor perspectives in optimising valorization decisions in agri-food supply chains

Project: PhD

Project Details

Description

Quantitative models have been proposed to optimizeinterrelated decisions in designingsustainable agri-food supply chains and address problemsrelated to facility location and allocation, capacities and flow between facilities, and improvedsustainability performance (Flores-Sigüenza et al, 2021). Extensions to such models are neededto address supply chain complexity by delineating multi-actor preferences and heterogeneous indicators. This is important to capture the multidimensionality of each paradigm,eliminate redundancies and facilitate communication. The objective of this research is to optimize valorization decisions in agri-food supply chains taking into account the objectives and preferences of the multi-actors involved.We use multi-objective optimization models to design sustainable agri-food supply chains by investigating (i)what are the conflicts and trade-offs from multi-actor perspectives on sustainability? ; (ii) how to optimize valorization decisions at supply chain level and account for different actor perspectives on sustainability in a supply chain network design (SCND) model?; (iii) how to ensure coordination between supply chain actorsthat are involved in residue valorization of agri-food supply chains; and (iv) how to optimize the design of multi-biomass supply chains through coordination and incentives. Illustrative casesfrom first-and second-generation biomass are used to demonstrate the proposed optimization tools applicability and the effect of multi-actor preferences and objectives on the supply chain design. Insightswill be usedto identify tradeoffs and phrase recommendations for managerial and policy insights about the adaptations required to eliminate inefficiencies of current supply chains.
StatusActive
Effective start/end date1/06/21 → …

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.