{"title":"Application Research of Factor Constraint Algorithm in E-Commerce Logistics Route Optimization","authors":"Chen Li, Jingying Ke, Linghan Cai","doi":"10.31181/dmame712024932","DOIUrl":"https://doi.org/10.31181/dmame712024932","url":null,"abstract":"In modern society, e-commerce logistics services are replacing traditional manual transportation methods. However, fresh transportation challenges have emerged. This study proposes applying the factor constraint algorithm to the e-commerce logistics path transportation problem. The multi-objective constraints and optimization of node tasks, vehicle full load, route closure, and other issues in the process of logistics transportation are firstly carried out. The final target is the shortest path of logistics deliver. Then the genetic algorithm, particle swarm algorithm, and ant colony algorithm are integrated to obtain the HMOAC algorithm, and the logistics path transportation model is constructed. The research findings indicate that the HMOAC algorithm shows a high level of fit, with a 95% match compared to the ant colony algorithm. An example analysis of the algorithm can effectively optimize the target path and achieve the least expensive transportation cost.","PeriodicalId":504436,"journal":{"name":"Decision Making: Applications in Management and Engineering","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139250126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed M. Ali, Ahmed x Ahmed Abdelhafeez, Tamer H.M. Soliman, Khaled ELMenshawy
{"title":"A Probabilistic Hesitant Fuzzy MCDM Approach to Selecting Treatment Policy For COVID-19","authors":"Ahmed M. Ali, Ahmed x Ahmed Abdelhafeez, Tamer H.M. Soliman, Khaled ELMenshawy","doi":"10.31181/dmame712024917","DOIUrl":"https://doi.org/10.31181/dmame712024917","url":null,"abstract":"The global significant rise in the number of sick individuals and fatalities has made the ongoing struggle against the severe and lethal COVID-19 pandemic a global effort. There are several ongoing therapies for COVID-19, and more are being developed. However, selecting the best therapy option for COVID-19 patients is still needed. Patients may easily choose from the available COVID-19 therapies using the multi-criteria decision-making method. As a result, the present study provides an MCDM method that is created to determine COVID-19 therapies. Probabilistic Hesitant Fuzzy Set numbers, values, and ambiguity are introduced. Theorems and characteristics of PHFS numbers are also investigated in depth. The Complex Proportional Assessment technique is used, based on the PHFS, for dealing with ambiguity issues. This study uses ten criteria and three treatment methods: antibacterial medication and plasma treatment, vaccinations, as well as quarantine and in-house isolation. The study results reveal that quarantine and isolation at home mark the most effective treatment, followed by vaccinations with antibiotics and plasma therapy.","PeriodicalId":504436,"journal":{"name":"Decision Making: Applications in Management and Engineering","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139265608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}