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Tavakkoli-moghaddam et al. (2013) considered a network design problem for a three level supply chain, and proposed a new mathematical model, where their aims were to determine the number of located distribution centers, their locations, capacity level, and allocating customers to distribution centers.
Mousavi et al. (2013) considered a network design problem for a three-level supply chain and proposed a new mathematical model, where their aims were to determine the number of located distribution centers, their locations, capacity level, and allocating customers to distribution centers.
The proposed model is capable to determine the optimum numbers, locations, capacity of facilities, suitable transportation modes, appropriate technology at bio-refinery, material flow, and production planning in different periods.
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The locations' capacities can be adjusted by selection of a capacity profile.
The preparedness phase decides the locations, capacities and resources of new Permanent Shelters.
Production and storage capacity planning: to adjust the locations' capacities, it must be decided to what extent capacities are made available in which existing or opened plant and warehouse locations of which supply chain stage in which time period.
Existing efficient network structures including locations, capacities and business partner relations as well as the supply chain operations were disregarded, as a counterproductive decoupling of decisions could be observed in this case.
Based on the proposed solution, it was possible to identify not only the transportation routes but also a set of information on HW handling facilities including the types, locations, capacities, and investment/operational cost.
This paper proposes a deterministic mixed integer linear programming (MILP) model for downstream petroleum supply chain (PSC) network to determine the optimal distribution center (DC) locations, capacities, transportation modes, and transfer volumes.
Under Poisson user demand arrivals and general service time distributions, the problem is set up as a network of independent M/G/1 queues, whose locations, capacities and service zones need to be determined.
This involves management decisions on the design of the contract (price, uptime guarantee and overhaul interval) and the logistics network (facility locations, capacities and inventories with given service level).
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