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• W2140828389 abstract "The aim of this work was to study a distribution and lot-sizing problem that considers costs with transportation to a company warehouse as well as, inventory, production and setup costs. The logistic costs are associated with necessary containers to pack produced items. The company negotiates a long-term contract in which a fixed cost per period is associated with the transportation of the items. On the other hand, a limited number of containers are available with a lower cost than the average cost. If an occasional demand increase occurs, other containers can be utilized; however, their costs are higher. A mathematical model was proposed in the literature and solved using the Lagrangian heuristic. Here, the use of the Lagrangian/surrogate heuristic to solve the problem is evaluated. Moreover, an extension of the literature model is considered adding capacity constraints and allowing backlogging. Computational tests show that Lagrangian/surrogate heuristics are competitive, especially when the capacity constraints are tight." @default.
• W2140828389 created "2016-06-24" @default.
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• W2140828389 date "2009-08-01" @default.
• W2140828389 modified "2023-10-18" @default.
• W2140828389 title "An approach using Lagrangian/surrogate relaxation for lot-sizing with transportation costs" @default.
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• W2140828389 doi "https://doi.org/10.1590/s0101-74382009000200002" @default.
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