Project management is widely used term as well as the process and method itself in plenty of fields of human being, certainly in construction and development. On the other hand programme management which is kind of superstructure of project management is rarely being recognized in civil engineering. A programme is a set of separate projects that are coordinated at the same time, giving the company greater efficiency and overview than management of each project separately. This paper aims to verify the current stage of utilization of programme management principles in construction and development by analyzing the programme management maturity level of three types of companies from civil engineering sector, namely PMC companies, large construction and development companies and retail companies. The research is based on semi-structured interviews in 16 companies. The results show significant differences in usage of programme management principles within the companies and finally next steps of the research and its application is being presented.
{"title":"Application of Principles of Programme Management in Construction and Development","authors":"Iva Řezáčová","doi":"10.1145/3463858.3463871","DOIUrl":"https://doi.org/10.1145/3463858.3463871","url":null,"abstract":"Project management is widely used term as well as the process and method itself in plenty of fields of human being, certainly in construction and development. On the other hand programme management which is kind of superstructure of project management is rarely being recognized in civil engineering. A programme is a set of separate projects that are coordinated at the same time, giving the company greater efficiency and overview than management of each project separately. This paper aims to verify the current stage of utilization of programme management principles in construction and development by analyzing the programme management maturity level of three types of companies from civil engineering sector, namely PMC companies, large construction and development companies and retail companies. The research is based on semi-structured interviews in 16 companies. The results show significant differences in usage of programme management principles within the companies and finally next steps of the research and its application is being presented.","PeriodicalId":317727,"journal":{"name":"Proceedings of the 2021 8th International Conference on Industrial Engineering and Applications (Europe)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130334297","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}
Umberto Junior Mele, Luca Maria Gambardella, R. Montemanni
Machine Learning techniques have been applied in many contexts with great success. In this survey, we focus on their applications in the Combinatorial Optimization (CO) domain, and in particular to the Traveling Salesman Problem (TSP). We propose an intuitive and simple mind map helpful to navigate through the wide existing literature, indicating the approaches we consider most promising. Different ML techniques introduced to solve the TSP are discussed and reviewed; and their differences and limitations are delved. Open problems for future research in this area are finally highlighted.
{"title":"Machine Learning Approaches for the Traveling Salesman Problem: A Survey","authors":"Umberto Junior Mele, Luca Maria Gambardella, R. Montemanni","doi":"10.1145/3463858.3463869","DOIUrl":"https://doi.org/10.1145/3463858.3463869","url":null,"abstract":"Machine Learning techniques have been applied in many contexts with great success. In this survey, we focus on their applications in the Combinatorial Optimization (CO) domain, and in particular to the Traveling Salesman Problem (TSP). We propose an intuitive and simple mind map helpful to navigate through the wide existing literature, indicating the approaches we consider most promising. Different ML techniques introduced to solve the TSP are discussed and reviewed; and their differences and limitations are delved. Open problems for future research in this area are finally highlighted.","PeriodicalId":317727,"journal":{"name":"Proceedings of the 2021 8th International Conference on Industrial Engineering and Applications (Europe)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121905684","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：