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- W2022115304 abstract "AbstractFinding a practical solution for the allocation of resources in ready-mixed concrete (RMC) is a challenging issue. In the literature, heuristic methods have been mostly used for solving the RMC problem. The introduced methods are intended to find a solution in one stage but the amount of infeasible allocations in their initial solutions is their main challenge, as these infeasible solutions need postprocessing efforts. This paper introduces a sequential heuristic method that can solve RMC problems in two separate stages without any need for postprocessing. It was found that the depot-allocation problem is more complicated than truck allocation and the combination of these two subproblems threatens the efficiency of the solution. Another contribution of this paper is proposing a new formulation for minimizing the number of trucks. A genetic algorithm (GA) has been selected for implementing the proposed idea and for evaluating the large-scale data-set model. The data set covers an active RMC for a p..." @default.
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- W2022115304 date "2016-01-01" @default.
- W2022115304 modified "2023-10-10" @default.
- W2022115304 title "Sequential Meta-Heuristic Approach for Solving Large-Scale Ready-Mixed Concrete–Dispatching Problems" @default.
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