A decision support system to reduce food waste in e-grocery logistics

نویسنده

  • Christian Fikar
چکیده

To keep products fresh during e-grocery operations, providers have to deliver goods quickly, which requires substantial logistical efforts. To support sustainable provision of food and to contribute to a reduction in food waste, this work develops a decision support system to route and schedule urban e-grocery deliveries. Various inventory policies and delivery routes are investigated within an agent-based simulation, which is integrated in a decision support system and combined with heuristic optimization procedures. Based on test scenarios originating from Vienna, Austria, managerial implications are provided to facilitate sustainable e-grocery operations.

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تاریخ انتشار 2017