بهينه‌سازي شبكه لجستيكي چندوجهي براي ارائه خدمات بهداشتي و مراقبتي در منزل با كاربردهايي از اينترنت اشياء

Optimization of a multimodal Logistics Network for Home Healthcare an‎d Caregiving Services Using Applications of IoT

مهندسي صنايع و آينده پژوهي

With the significant growth of the elderly population, the increase in chronic diseases an‎d the increase in life expectancy, the need for home health an‎d care services (HHC) has become more important than ever. These demographic an‎d social changes have put great pressure on healthcare systems, an‎d the high costs of hospitalization an‎d the reduction in the capacity of family care have highlighted the necessity of providing HHC services as an efficient an‎d alternative solution to hospitalization. However, the organization an‎d management of these services face numerous logistical challenges. Challenges such as the geographical dispersion of patients, limited human resources an‎d fleet, an‎d the diversity of services provided necessitate the need for an efficient an‎d optimal model for resource allocation an‎d service scheduling. This research designs an‎d optimizes a multimodal logistics network for providing HHC services that uses the Internet of Things (IoT) as a complementary tool for collecting up-to-date data. The proposed mathematical model is designed in the form of mixed integer programming (MIP) an‎d key decisions including allocation of medical personnel, routing of medical personnel, selec‎tion of service type an‎d scheduling are modeled comprehensively an‎d harmoniously. In order to solve the two main objectives, namely maximizing patient coverage an‎d minimizing costs, the weighted sum method is used. The innovations of this research are in designing an integrated model for human resource management, transportation fleet an‎d routing of home health services, which has been able to solve the logistical challenges of these services efficiently an‎d effectively. The model was implemented on real data of 25 patients in Isfahan city. The results also show that implementing the model in the case of considering new technologies leads to an average reduction of 30.4% in costs compared to the case of not considering them. Finally, this research has optimized the HHC logistics network by providing a comprehensive an‎d efficient model an‎d has taken steps towards improving the quality of services, reducing costs an‎d maintaining environmental sustainability.0

5

151556