Petroleum Supply Chains (PSCs) are
complex systems of petroleum
entities, products, and distribution logistics, where efficient network
design and planning are critical. In this paper, a dynamic mixed-integer
linear program (MILP) is presented for its collaborative design and
tactical planning with multistage inventories, extending the work
in Fernandes et al. [Chem. Eng. Res. Des.
2013, 91, 1557–1587]. The
model determines the optimal design with multientity supply, installations,
and resource capacity sharing with prices incorporating economies
of scale, while fulfilling customer demand for a multientity, multiechelon,
multitransportation, and multiproduct downstream PSC. Collaborative
planning permits multiechelon profit maximization, where the entities
incorporate profits from partly owned refineries, storage depots,
and transportation and retail infrastructures. The dynamic MILP is
tested for the real-case Portuguese PSC network, considering production
at local refineries and supply from a regional hub, obtaining current,
grassroots, and retrofit designs for the single-entity and multientity
networks.