Abstract
With the intensification of aging, smart elderly care increasingly plays an irreplaceable role in alleviating the pressure of elderly care. Providing meal delivery services for the elderly with the help of smart tools could help solve the dining problems of the elderly. Considering heterogeneity within the elderly population, this paper considers those who have meals at home and those who choose to eat at community service centers—the two dining locations encompassing different time windows. This study investigated the path optimization problem of the joint delivery of elderly meals by trucks and robots. At the same time, it considered the battery capacity of the robots and constructed a mixed-integer programming model to minimize the total cost of the system. For large-scale problems, an improved adaptive large neighborhood search algorithm was used, which integrated the ant colony algorithm to solve them. The investigation confirmed the feasibility and effectiveness of the algorithm. Based on the research results, this paper offers management and key stakeholders practical guidance for implementing elderly meal delivery.
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