{"title":"P2P人力资源共享及其稳定币再分配策略","authors":"Miki Saito, Hisashi Hayashi","doi":"10.52731/ijscai.v4.i2.555","DOIUrl":null,"url":null,"abstract":"Workloads fluctuate in many small and medium-sized enterprises (SMEs). Managing human resources in these fluctuating conditions is difficult for many companies. During busy periods, workers struggle to complete all their work; however, during idle periods, they may not have sufficient work. The following are the two aims of this study: first to propose a new peer-to-peer (P2P) human-resource-sharing platform to balance the work hours of employees, and second to propose new reallocation strategies of stable coins called share P (sharing point). The first aim enables companies that are experiencing idle periods to offer their employees to other companies that are busy, by using an automated-negotiation technology. The second aim eliminates the share P bias that prevents smooth circulation of both share P and employees within the platform. The effectiveness of the new platform and new allocation strategy will be evaluated and verified via multi-agent simulation. Our simulation results show that idle/busy periods decrease approximately from one-third to one-half by using our P2P human-resource-sharing methods of employees. They can be further reduced to less than from one-fifth to one-seventh by using our new redistribution strategies of share P.","PeriodicalId":179818,"journal":{"name":"International Journal of Smart Computing and Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"P2P human-resource sharing and its redistribution strategy of stable coin\",\"authors\":\"Miki Saito, Hisashi Hayashi\",\"doi\":\"10.52731/ijscai.v4.i2.555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Workloads fluctuate in many small and medium-sized enterprises (SMEs). Managing human resources in these fluctuating conditions is difficult for many companies. During busy periods, workers struggle to complete all their work; however, during idle periods, they may not have sufficient work. The following are the two aims of this study: first to propose a new peer-to-peer (P2P) human-resource-sharing platform to balance the work hours of employees, and second to propose new reallocation strategies of stable coins called share P (sharing point). The first aim enables companies that are experiencing idle periods to offer their employees to other companies that are busy, by using an automated-negotiation technology. The second aim eliminates the share P bias that prevents smooth circulation of both share P and employees within the platform. The effectiveness of the new platform and new allocation strategy will be evaluated and verified via multi-agent simulation. Our simulation results show that idle/busy periods decrease approximately from one-third to one-half by using our P2P human-resource-sharing methods of employees. They can be further reduced to less than from one-fifth to one-seventh by using our new redistribution strategies of share P.\",\"PeriodicalId\":179818,\"journal\":{\"name\":\"International Journal of Smart Computing and Artificial Intelligence\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Smart Computing and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52731/ijscai.v4.i2.555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Smart Computing and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52731/ijscai.v4.i2.555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
许多中小型企业的工作量波动很大。在这种波动的条件下管理人力资源对许多公司来说都很困难。在繁忙时期,工人们努力完成所有的工作;然而,在空闲期间,它们可能没有足够的工作。本研究的两个目的是:一是提出一种新的P2P (peer-to-peer)人力资源共享平台来平衡员工的工作时间,二是提出一种新的称为share P (sharing point)的稳定币再分配策略。第一个目标是通过使用自动谈判技术,使处于空闲期的公司能够将员工提供给其他繁忙的公司。第二个目标是消除股份P偏见,这种偏见阻碍了股份P和员工在平台内的顺利流通。通过多智能体仿真对新平台和新分配策略的有效性进行评估和验证。我们的模拟结果表明,使用我们的P2P员工人力资源共享方法,空闲/繁忙时间大约从三分之一减少到二分之一。通过使用我们新的份额再分配策略,它们可以进一步减少到不足五分之一到七分之一。
P2P human-resource sharing and its redistribution strategy of stable coin
Workloads fluctuate in many small and medium-sized enterprises (SMEs). Managing human resources in these fluctuating conditions is difficult for many companies. During busy periods, workers struggle to complete all their work; however, during idle periods, they may not have sufficient work. The following are the two aims of this study: first to propose a new peer-to-peer (P2P) human-resource-sharing platform to balance the work hours of employees, and second to propose new reallocation strategies of stable coins called share P (sharing point). The first aim enables companies that are experiencing idle periods to offer their employees to other companies that are busy, by using an automated-negotiation technology. The second aim eliminates the share P bias that prevents smooth circulation of both share P and employees within the platform. The effectiveness of the new platform and new allocation strategy will be evaluated and verified via multi-agent simulation. Our simulation results show that idle/busy periods decrease approximately from one-third to one-half by using our P2P human-resource-sharing methods of employees. They can be further reduced to less than from one-fifth to one-seventh by using our new redistribution strategies of share P.