Efficient Human Management Research Articles

"Human resource management model of mega sporting events —— the Beijing Winter Olympics as an example"

With the accelerated pace of globalization, the frequency and number of major international sports events are gradually increasing. The human resource management model has also been considered in this context, playing a more important role. In order to discuss this issue in depth, this paper will take the 2022 Beijing Winter Olympic Games as a case study, and discuss the changes and upgrades of HRM model in detail from the perspective of recruitment and management in human resources, from the surface way to the deep content. First of all, in the recruitment, Beijing Winter Olympic Games has a unique way of recruitment, through many media and Internet resources to promote the unprecedented effect. The mass adoption of recruitment on the Internet has attracted talents from all over the world to participate. Secondly, in the management, for the volunteers, due to the epidemic, a longer period of closed management was adopted, and the Beijing Winter Olympic Organizing Committee also focused on the psychological state of the staff and volunteers. In order to ensure people's life and living in a positive and effective way, in order to achieve a more efficient human management. In the end, the author summarizes the changes in the model of human resources management in the Winter Olympics, summarizes the characteristics of large international sporting events, refines the universal model with high feasibility, and summarizes the experience with the actual.

Optimal Scheduling of a Constellation of Earth-Imaging Satellites, for Maximal Data Throughput and Efficient Human Management

A mixed-integer linear program (MILP) approach to scheduling a large constellation of Earth-imaging satellites is presented. The algorithm optimizes the assignment of imagery collects, image data downlinks, and "health & safety" contacts, generating schedules for all satellites and ground stations in a network. Hardware-driven constraints (e.g., the limited agility of the satellites) and operations-driven constraints (e.g., guaranteeing a minimum contact frequency for each satellite) are both addressed. Of critical importance to the use of this algorithm in real-world operations, it runs fast enough to allow for human operator interaction and repeated rescheduling. This is achieved by a partitioning of the problem into sequential steps for downlink scheduling and image scheduling, with a novel dynamic programming (DP) heuristic providing a stand-in for imaging activity in the MILP when scheduling the downlinks.