{"title":"非线性充电的多周期电力家庭医疗路线与调度问题","authors":"Mehmet Erdem","doi":"10.7166/31-2-2153","DOIUrl":null,"url":null,"abstract":"Electric vehicles (EVs) offer ideal opportunities to reduce the negative effects of transport. Demographic changes have led to an increase in the demand for home healthcare services and the transporting of healthcare staff. This paper is an attempt to introduce and address the multi-period electric home healthcare routeing and scheduling problem with nonlinear charging (E-HHCRSP-NL) to handle decisions such as allocating the EVs used by healthcare staff for clients based on their characteristics, determining the EV routes, tracking their charge state, and choosing the most convenient charging locations. The problem is solved using a newly developed hybrid evolutionary variable neighbourhood search algorithm (HE-VNS). The computational results of the newly created instances indicate the effectiveness of the proposed approach.","PeriodicalId":49493,"journal":{"name":"South African Journal of Industrial Engineering","volume":"31 1","pages":"92-106"},"PeriodicalIF":0.5000,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"THE MULTI-PERIOD ELECTRIC HOME HEALTHCARE ROUTEING AND SCHEDULING PROBLEM WITH NONLINEAR CHARGING\",\"authors\":\"Mehmet Erdem\",\"doi\":\"10.7166/31-2-2153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electric vehicles (EVs) offer ideal opportunities to reduce the negative effects of transport. Demographic changes have led to an increase in the demand for home healthcare services and the transporting of healthcare staff. This paper is an attempt to introduce and address the multi-period electric home healthcare routeing and scheduling problem with nonlinear charging (E-HHCRSP-NL) to handle decisions such as allocating the EVs used by healthcare staff for clients based on their characteristics, determining the EV routes, tracking their charge state, and choosing the most convenient charging locations. The problem is solved using a newly developed hybrid evolutionary variable neighbourhood search algorithm (HE-VNS). The computational results of the newly created instances indicate the effectiveness of the proposed approach.\",\"PeriodicalId\":49493,\"journal\":{\"name\":\"South African Journal of Industrial Engineering\",\"volume\":\"31 1\",\"pages\":\"92-106\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2020-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"South African Journal of Industrial Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.7166/31-2-2153\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"South African Journal of Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.7166/31-2-2153","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
THE MULTI-PERIOD ELECTRIC HOME HEALTHCARE ROUTEING AND SCHEDULING PROBLEM WITH NONLINEAR CHARGING
Electric vehicles (EVs) offer ideal opportunities to reduce the negative effects of transport. Demographic changes have led to an increase in the demand for home healthcare services and the transporting of healthcare staff. This paper is an attempt to introduce and address the multi-period electric home healthcare routeing and scheduling problem with nonlinear charging (E-HHCRSP-NL) to handle decisions such as allocating the EVs used by healthcare staff for clients based on their characteristics, determining the EV routes, tracking their charge state, and choosing the most convenient charging locations. The problem is solved using a newly developed hybrid evolutionary variable neighbourhood search algorithm (HE-VNS). The computational results of the newly created instances indicate the effectiveness of the proposed approach.
期刊介绍：
The South African Journal of Industrial Engineering (SAJIE) publishes articles with the emphasis on research, development and application within the fields of Industrial Engineering and Engineering and Technology Management. In this way, it aims to contribute to the further development of these fields of study and to serve as a vehicle for the effective interchange of knowledge, ideas and experience between the research and training oriented institutions and the application oriented industry. Articles on practical applications, original research and meaningful new developments as well as state of the art surveys are encouraged.
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