{"title":"基于E-CARGO模型的新员工培训计划","authors":"Tianshuo Yang, Haibin Zhu","doi":"10.1109/CSCWD57460.2023.10152637","DOIUrl":null,"url":null,"abstract":"New employee training scheduling is one of the most common events in many enterprises. Solving this problem has its significance and is useful in daily administrations and operations. Group Role Assignment (GRA) model is widely applied in the assignment problem. However, there are still many challenges to applying the GRA model. For example, when we need to assign different jobs for the same person at different times, GRA needs more structures to specify constraints. If we use the strategy that combines the time factor with the agents or roles to formalize new agents or roles, the problem can be converted to a solvable GRA problem with constraints. The focus of this article is to give a practical solution to this kind of problem by using the GRA formulations in expressing constraints. The formalization makes us resolve the problem easily through integer programming (IP) with the PuLP package of Python. Large-scale simulation experiments demonstrate the practicability and robustness of our method.","PeriodicalId":51008,"journal":{"name":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","volume":"1 1","pages":"691-696"},"PeriodicalIF":2.0000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New Employee Training Scheduling Using the E-CARGO Model\",\"authors\":\"Tianshuo Yang, Haibin Zhu\",\"doi\":\"10.1109/CSCWD57460.2023.10152637\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"New employee training scheduling is one of the most common events in many enterprises. Solving this problem has its significance and is useful in daily administrations and operations. Group Role Assignment (GRA) model is widely applied in the assignment problem. However, there are still many challenges to applying the GRA model. For example, when we need to assign different jobs for the same person at different times, GRA needs more structures to specify constraints. If we use the strategy that combines the time factor with the agents or roles to formalize new agents or roles, the problem can be converted to a solvable GRA problem with constraints. The focus of this article is to give a practical solution to this kind of problem by using the GRA formulations in expressing constraints. The formalization makes us resolve the problem easily through integer programming (IP) with the PuLP package of Python. Large-scale simulation experiments demonstrate the practicability and robustness of our method.\",\"PeriodicalId\":51008,\"journal\":{\"name\":\"Computer Supported Cooperative Work-The Journal of Collaborative Computing\",\"volume\":\"1 1\",\"pages\":\"691-696\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Supported Cooperative Work-The Journal of Collaborative Computing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCWD57460.2023.10152637\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Supported Cooperative Work-The Journal of Collaborative Computing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/CSCWD57460.2023.10152637","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
New Employee Training Scheduling Using the E-CARGO Model
New employee training scheduling is one of the most common events in many enterprises. Solving this problem has its significance and is useful in daily administrations and operations. Group Role Assignment (GRA) model is widely applied in the assignment problem. However, there are still many challenges to applying the GRA model. For example, when we need to assign different jobs for the same person at different times, GRA needs more structures to specify constraints. If we use the strategy that combines the time factor with the agents or roles to formalize new agents or roles, the problem can be converted to a solvable GRA problem with constraints. The focus of this article is to give a practical solution to this kind of problem by using the GRA formulations in expressing constraints. The formalization makes us resolve the problem easily through integer programming (IP) with the PuLP package of Python. Large-scale simulation experiments demonstrate the practicability and robustness of our method.
期刊介绍:
Computer Supported Cooperative Work (CSCW): The Journal of Collaborative Computing and Work Practices is devoted to innovative research in computer-supported cooperative work (CSCW). It provides an interdisciplinary and international forum for the debate and exchange of ideas concerning theoretical, practical, technical, and social issues in CSCW.
The CSCW Journal arose in response to the growing interest in the design, implementation and use of technical systems (including computing, information, and communications technologies) which support people working cooperatively, and its scope remains to encompass the multifarious aspects of research within CSCW and related areas.
The CSCW Journal focuses on research oriented towards the development of collaborative computing technologies on the basis of studies of actual cooperative work practices (where ‘work’ is used in the wider sense). That is, it welcomes in particular submissions that (a) report on findings from ethnographic or similar kinds of in-depth fieldwork of work practices with a view to their technological implications, (b) report on empirical evaluations of the use of extant or novel technical solutions under real-world conditions, and/or (c) develop technical or conceptual frameworks for practice-oriented computing research based on previous fieldwork and evaluations.