For the new online retailing system, large-scale online supermarkets, their tremendous number of daily orders and their high split order rates have led to serious pollution to the environment. Aiming to decrease the d...
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For the new online retailing system, large-scale online supermarkets, their tremendous number of daily orders and their high split order rates have led to serious pollution to the environment. Aiming to decrease the delivery times, this paper focuses on the split-order consolidated delivery in large-scale online supermarkets. First, three possible split-order fulfilment measures are illustrated. And considering the delivery deadline, the optimisation model of split-order consolidated delivery by the lateral transshipment strategy is established. Second, a geneticalgorithm combined with the simulated annealing algorithm is developed to solve the model. Finally, the numerical experiments reveal that the strategy of consolidation delivery is better than the splitting fulfilment in some scenarios, especially in reducing the operational cost and delivery times. The research will be beneficial to alleviate the dilemma of split-order fulfilment that large-scale online supermarkets are encountering and further have important potential in improving the urban environment.
As a class of typical production scheduling problems, job-shop scheduling problem is one of the strongly NP-complete combinatorial optimization problems,for which an improved genetic algorithm with search area adaptat...
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As a class of typical production scheduling problems, job-shop scheduling problem is one of the strongly NP-complete combinatorial optimization problems,for which an improved genetic algorithm with search area adaptation is proposed in this *** has a capacity for adapting to the structure of solution space and controlling the tradeoffs balance between global and local *** our proposed method has an outstanding point which is that it does not need a crossover operator with an ability of characteristic inheritance ratio control.
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