Personnel Allocation Research Articles

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

In order to improve the economic benefits of enterprises and provide a scientific human resource management method for enterprises, an optimal allocation method of human resource structure based on the integration of capability maturity model is proposed. According to the capability maturity model and its maturity level, the capability maturity integration model is established, and the optimal allocation algorithm of human resources is designed according to the model principle. By constructing the personnel quality evaluation matrix and personnel allocation matrix, the human resource allocation model is established, and the cooperative game method is used to dynamically optimize the human resource allocation model. The experimental results show that this method effectively improves the economic benefits of enterprises, improves the efficiency of human resource allocation, and completes the preset goal.

МЕТОДИКА ВИЗНАЧЕННЯ НЕОБХІДНОЇ КІЛЬКОСТІ СИЛ І ЗАСОБІВ ДЛЯ МОНІТОРИНГУ ОПЕРАТИВНОЇ ОБСТАНОВКИ ПІД ЧАС ПРОВЕДЕННЯ МАСОВИХ ЗАХОДІВ

When planning mass events, their organizers must coordinate with the executive authorities or local self-government bodies the place and time of holding these events. these bodies notify the Main Directorate of the Regional National Police of a mass event in order to ensure public safety. For this, it is planned to allocate forces and means from the National Police and the National Guard of Ukraine. Any mass event involves the accumulation of a large number of different layers of the civilian population and, as a result, the likelihood of riots. Therefore, for permanent possession of information in the area of a mass event, it is necessary to monitor the operational situation. For the purpose of conducting this monitoring, personnel are allocated from the intelligence units of the military units of the National Guard of Ukraine, which must be taken into account when calculating forces and means. The number of personnel required to monitor the operational situation depends on the number of participants, location, area of the venue, and more. The allocation of personnel in the wrong quantity can lead to an untimely response of the forces of the National Guard of Ukraine to a certain situation and, as a result, failure to complete the task. To this end, the article presents a methodology for determining the required number of forces and means for monitoring the operational situation during mass events, which takes into account the peculiarities of organizing this monitoring by units of the National Guard of Ukraine and allows predicting: the required number of military outfits; the number of personnel of these outfits; the number of personnel in the groups of air monitoring, collection and processing of information; the total number of personnel. The developed methodology will help the military command and control bodies to reasonably make decisions on organizing and conducting monitoring of the operational situation and improve the use of forces and means of the intelligence units of the National Guard of Ukraine.

A New Way to Cultivate the Employment and Entrepreneurship Ability of Graduates of "Hotel Management and Digital Operation" Major in Higher Vocational Colleges

With the rapid development of science, technology and economy, the hotel industry is also impacted by information technology. It is necessary to reform the business, optimize the existing business process, organizational structure and personnel allocation, and realize business model innovation. The hotel industry needs digital business talents with basic business knowledge and data thinking. At present, there are still many problems in the training of hotel management and digital operation professionals in colleges and universities. Therefore, this paper expounds the importance of the digital transformation of the hotel industry and the transformation to personnel training, analyzes the current situation of personnel training, and puts forward suggestions for personnel training.

Analysis on Intelligent Management of Human Resources in Urban Community under Normalized Epidemic Prevention and Control

As the basic unit of social governance grid in China, urban community plays an active and important role in the promotion of comprehensive ability of social governance in China while the intelligent management of human resources within community management organizations and the effective integration of external human resources plays a decisive role in improving the overall level of social governance. This paper analyzes the three problems of human resource management in urban community under conditions of normalized epidemic prevention and control, such as unreasonable personnel allocation, large internal consumption of human resources, less strength of personnel reserve, weak integration ability, imperfect supervision mechanism and insufficient human resource incentive mechanism. It is concluded that only by adhering to the thinking of intelligent guidance, technology empowerment and information platform, can the community effectively promote the modernization of social governance.

Medical Information Mining-Based Visual Artificial Intelligence Emergency Nursing Management System.

This study aims to design a set of the visual artificial intelligence system based on medical information mining for hospital emergency care management. A visual artificial intelligence emergency first aid nursing management system is designed by analyzing the needs of the emergency first aid nursing management system. The results show that system personnel allocation, comparative management, record management, query management analysis, basic setup analysis, nursing management basis, and nonfunctional requirements all need to be optimized for the emergency first aid management system. In this study, the comparative management module, log management module, and the query management module are designed, and the emergency first aid management system of different APP terminal functions in different modules is described in detail. The nursing document query business is tested, and the corresponding time of query of nursing assessment sheet, nurse shift record, nurse record, and physical sign observation sheet is 375.50 ms, 351.48 ms, 336.36 ms, and 245.57 ms, respectively. It shows that the visual artificial intelligence emergency nursing management system based on medical information mining can provide convenience for clinical work to a large extent and has potential application value in hospital emergency nursing work.

Influence of Admission Time on Health Care Quality and Utilization in Patients with Stroke: Analysis for a Possible July Effect and Weekend Effect.

(1) Purpose: Undesirable health care outcomes could conceivably increase as a result of the entry of new, less experienced health care personnel into patient care during the month of July (the July effect) or as a result of the less balanced allocation of health care resources on weekends (the weekend effect). Whether these two effects were present in Taiwan’s National Health Insurance (NHI) system was investigated. (2) Methods: The current study data were acquired from the NHI Research Database. The research sample comprised ≥18-year-old patients diagnosed as having a stroke for the first time from 1 January 2006 to 30 September 2012. The mortality rate within 30 days after hospitalization and readmission rate within 14 days after hospital discharge were used as health care quality indicators, whereas health care utilization indicators were the total length and cost of initial hospitalization. (3) Results: The results revealed no sample-wide July effect with regard to the four indicators among patients with stroke. However, an unexpected July effect was present among in-patients in regional and public hospitals, in which the total lengths and costs of initial hospitalization for non-July admissions were higher than those for July admissions. Furthermore, the total hospitalization length for weekend admissions was 1.06–1.07 times higher than that for non-weekend admissions; the total hospitalization length for weekend admissions was also higher than that for weekday admissions during non-July months. Thus, weekend admission did not affect the health care quality of patients with stroke but extended their total hospitalization length. (4) Conclusions: Consistent with the NHI’s general effectiveness in ensuring fair, universally accessible, and high-quality health care services in Taiwan, the health care quality of patients examined in this study did not vary significantly overall between July and non-July months. However, a longer hospitalization length was observed for weekend admissions, possibly due to limitations in personnel and resource allocations during weekends. These results highlight the health care efficiency of hospitals during weekends as an area for further improvement.

Resilience of Communities in Puerto Rico Following Hurricane Maria: Community-Based Preparedness and Communication Strategies.

This study aimed to examine factors that may have contributed to community disaster resilience following Hurricane Maria in Puerto Rico. In April 2018, qualitative interviews (n = 22) were conducted with stakeholders in 7 Puerto Rican municipalities (9% of total). Transcripts were deductively and inductively coded and analyzed to identify salient topics and themes, then examined according to strategic themes from the Federal Emergency Management Association's (FEMA) Whole Community Approach. Municipal preparedness efforts were coordinated, community-based, leveraged community assets, and prioritized vulnerable populations. Strategies included (1) multi-sectoral coordination and strategic personnel allocation; (2) neighborhood leader designation as support contacts; (3) leveraging of community leader expertise and social networks to protect vulnerable residents; (4) Censuses of at-risk groups, health professionals, and first responders; and (5) outreach for risk communication and locally tailored protective measures. In the context of collapsed telecommunications, communities implemented post-disaster strategies to facilitate communication with the Puerto Rican Government, between local first responders, and to keep residents informed, including the use of: (1) police radios; (2) vehicles with loudspeakers; (3) direct interpersonal communication; and (4) solar-powered Internet radio stations. Adaptive capacities and actions of Puerto Rican communities exemplify the importance of local solutions in disasters. Expanded research is recommended to better understand contributors to disaster resilience.

Personnel management on the production line using the FlexSim simulation environment

The article presents new possibilities of simulation software and its application to improve the pro-duction structure. In many enterprises, the basic issues are related to the determination of planned tasks for individual positions, calculating the demand for employees, taking into account their skills and qualifications, calculating work costs, determining work efficiency and its dynamics. Therefore proper work organization consists in setting the course of work in such a way as to obtain maximum results with the least amount of work by man and machine. The article presents the problem of per-sonnel allocation to the production line. The basic stages of developing a simulation model of this process are discussed, including all necessary information and inputs. The results shows impact of the selected simulation scenarios to the workload level of the staff and the duration of the production process. In this concept, to solve the problem a simulation model of the production process was built. A new generation of 3D FlexSim simulation environment with an integrated OptQuest optimi-zation module was used.

A multi-level simulation-based optimization framework for IoT-enabled elderly care systems

A multi-level framework that combines a simulation and optimization approach is proposed to evaluate the performance of complex systems triggered by real-time IoT-fed “service requests”. The idea behind the conceptual framework is centered on the use of simulation to mimic system organization, rules and behavior, whereas optimization is used to search for the allocation of both personnel and equipment to pursue optimality with respect to resource availability. Focusing on a healthcare assistance network for the elder, the framework is tailored to determine the staff requirements for home assistance of local elderly populations based on different priorities of service requests and geographical areas covered by the service. The framework is verified by using NEMSIS (National Emergency Medical Services Information System) data, i.e. the national database that is used to store emergency medical services data from the U.S. States and Territories. Ad hoc scenarios are analyzed and evaluated in an illustrative use case. Numerical results show how, upon the arrival flow of non-deterministic patient calls, the framework allows to verify the goodness of strategic, tactical and operational decisions of healthy living for the elder.

A multi-objective selective maintenance optimization method for series-parallel systems using NSGA-III and NSGA-II evolutionary algorithms

Aiming at the problem that the downtime is simply assumed to be constant and the limited resources are not considered in the current selective maintenance of the series-parallel system, a three-objective selective maintenance model for the series-parallel system is established to minimize the maintenance cost, maximize the probability of completing the next task and minimize the downtime. The maintenance decision-making model and personnel allocation model are combined to make decisions on the optimal length of each equipment’s rest period, the equipment to be maintained during the rest period and the maintenance level. For the multi-objective model established, the NSGA-III algorithm is designed to solve the model. Comparing with the NSGA-II algorithm that only considers the first two objectives, it is verified that the designed multi-objective model can effectively reduce the downtime of the system.

Multi-objective optimization of carrier-based aircraft support personnel configuration

Objectives Carrier-based aircraft support operations are the most critical link in the dispatch and recovery process of carrier-based aircraft. The reasonable allocation of support personnel can improve the support capability of the carrier-based aircraft fleet and dispatch rate, thereby enhancing the overall combat capability of the aircraft carrier. Method Aiming at the staffing problem of carrier-based aircraft support operations, combined with the actual complex combat environment and based on the carrier-based aircraft fleet support completion time, support personnel load balance and cumulative transfer time, a mathematical model is established of the number of support personnel and skill allocation for multiple objectives. An integer encoding method and decoding method based on the event scheduling strategy are designed, and an improved NSGA2-based personnel optimization algorithm is proposed to solve the problem. Results The experimental simulation results show that this algorithm can effectively solve the established mathematical model, and the simulation results meet the actual combat requirements. Conclusion The improved NSGA2 algorithm can combine the carrier-based aircraft support process, number of personnel and skill allocation to provide a multi-objective optimized carrier-based aircraft support program.

A Study on the Optimal Allocation of Maintenance Personnel in the Military Emergency Maintenance System Considering the Property of Impatience

Impatience characteristics are an important factor to be considered in the defense field, which is sensitive to time, but there are not many cases applied. In addition, due to the difficulty of analysis that must consider various probabilistic factors (breakdown/maintenance distribution, impatience characteristics, etc.), military decision makers consider only simple data (number of occurrences per year, maintenance time, etc.) Therefore, in this study, a model capable of analyzing the performance of the emergency maintenance system for determining the appropriate size and organization of military and civilian maintenance personnel was presented in consideration of impatience characteristics and probabilistic factors. And through numerical analysis, the appropriate size of the military and civilian emergency maintenance teams was analyzed. This study is significant in that it can improve readiness of operational power and prevent waste of defense budget through efficient operation of the military's emergency maintenance system.

Field Monitoring the Effects of Overnight Shift Work on Specialist Tactical Police Training with Heart Rate Variability Analysis

Police work exposes officers to high levels of stress. Special emergency response team (SERT) service exposes personnel to additional demands. Specifically, the circadian cycles of SERT operators are subject to disruption, resulting in decreased capacity to compensate in response to changing demands. Adaptive regulation loss can be measured through heart rate variability (HRV) analysis. While HRV Trends with health and performance indicators, few studies have assessed the effect of overnight shift work on HRV in specialist police. Therefore, this study aimed to determine the effects overnight shift work on HRV in specialist police. HRV was analysed in 11 SERT officers and a significant (p = 0.037) difference was found in pRR50 levels across the training day (percentage of R-R intervals varying by >50 ms) between those who were off-duty and those who were on duty the night prior. HRV may be a valuable metric for quantifying load holistically and can be incorporated into health and fitness monitoring and personnel allocation decision making.

Cost Optimization and Risk Minimization During Teamwork Organization

Abstract In the paper the problem of personnel allocation under threat was presented. The possibilities of undertaking optimization measures in the process of workers’ health and safety and expenses incurred were emphasized. A mathematical model for this issue has been formulated. An algorithm solving the problem of staff allocation was presented. The evaluation criterion for this assignment was the minimization of worker safety risks. Simultaneous optimization of expenses incurred in the implementation of production tasks was taken into account. The productivity of the staff and all existing jobs with the skills of the employees also was considered. This problem was solved using GNU Octave. The example presented in the paper shows that in case of the most unfavorable allocation of tasks to employees, it will lead to a significant reduction in profits and may increase the risk of undesirable situations. The proposed analysis is the starting point for determining the risk in case of multi-position work.

Ophthalmic Emergencies and Effects of Different Quarantine Models During the COVID-19 Pandemic.

BackgroundThe aim of this study was to evaluate the epidemiological features of the patients admitted to our emergency department (ED) during the COVID-19 pandemic in March, April, and May 2020, compare them with the patients in March, April, and May 2019, and to investigate the effect of various quarantine models.Material/MethodsThe records of 1206 eligible patients were reviewed. Age groups were divided according to their quarantine status. We recorded the reasons for patient presentation to the ED, the average number of patients in age groups according to quarantine days, and the problems reported by patients who presented to the ED according to quarantine days.ResultsWe enrolled 3016 of 3123 patients. The mean age was 36.4±17.3 years in 2019 and 37.8±16.4 years during the pandemic period (P=0.031). While 73.1% of the ED presentations were due to ocular trauma in 2019, it decreased to 70.7% in 2020. The proportion of those who presented to the ED during the weekend was 30.6% in 2019, but decreased to 23.9% in 2020 (<0.001). While 84.8% of trauma patients were ages 19–64 years in 2019, this rate increased to 88.9% during the pandemic (P=0.067). Non-trauma emergencies were more common than trauma emergencies in both periods in those over the age of 65 years. During the pandemic period, admissions to the ED were decreased in the quarantined age groups (P=0.001).ConclusionsThe changes in the number and characteristic of admissions for ophthalmic emergencies during the pandemic period may help planning allocation of healthcare personnel and resources in outpatient and emergency clinics.

Maintenance Personnel Optimization Model of Vehicle Equipment Based on Support Task

Vehicle equipment maintenance support tasks have problems such as low maintenance efficiency and unreasonable allocation of maintenance personnel. In order to further strengthen the theoretical research of vehicle equipment maintenance support, an optimization model of vehicle equipment maintenance personnel based on support task is proposed in this paper. Firstly, the maintenance workload model of vehicle equipment is constructed by analyzing the three task sources of vehicle equipment: scheduled maintenance, natural random failure, and combat damage. Then, considering the technical professional level, maintenance efficiency, and other factors of maintenance personnel, two optimization models of maintenance personnel are constructed. In view of the situation where there are enough human resources, the prediction model of the number of personnel with the minimum total number as the goal is constructed to achieve the purpose of saving human resources. Using MATLAB mixed integer nonlinear programming problem (MINP) toolbox to solve the prediction model of the number of personnel, in view of the shortage of maintenance personnel, a maintenance personnel allocation model aiming at minimizing maintenance time is constructed to maximize maintenance efficiency. In order to solve the model, the fruit fly optimization algorithm (FOA) is improved, and the group cooperation is used to update the fruit fly position. The new algorithm not only retains the essential advantages of the FOA but also solves the problem that the algorithm is easy to fall into local extreme value and improves the global optimization ability of the algorithm. Finally, two example simulations verify the effectiveness of the optimization method in this paper and provide a certain theoretical basis for maintenance personnel to optimize decision-making.

Assessing temporal–spatial characteristics of urban travel behaviors from multiday smart-card data

The rail transit has difficulties in meeting daily travel needs of passengers owing to a large population and accelerating urbanization. Analyzing urban travel behaviors with big data helps the design in infrastructures and the optimized personnel allocation. Furthermore, travel behaviors are characterized by dynamic at different time and locations, displaying the rule of urban traffic operation. This paper utilizes smart card data in two cities with different geographical features to analyze the temporal–spatial characteristics of urban travel behaviors. More specifically, by creating travel networks based on the pick-up and drop-off stations and the passenger population among these stations, an interesting observation is that the community structure of travel networks owns a metabolic trend and a stable feature simultaneously. The finding shows that the traffic system can be managed in several parts. Moreover, similar mobility patterns exist in some stations, which can be organized and controlled in the same way. Finally, travel behaviors are related to the urban layout and structure, so the distribution of urban areas can be understood better. Experiments provide enlightening insights for policy makers to comprehend the urban travel behaviors, thus improving the rail transit service plans and scheduling strategies.

Learn Curve for Precast Component Productivity in Construction

The study objective is to establish the learning curve model for precast component productivity in construction, verified using cross-validation empirical data for over 90% of these facilities’ precast component production activities over the past 5 years, with a total of 373,077 datasets across 14 production activities, sorted among a total of 4352 workers. By applying the learning curve theory to the analysis, the results show that relative to the straight-line model, the learning curve was established using exponential models. The exponential model can effectively mitigate the unreasonable fluctuations present in the cubic model’s representations of learning curves during initial training periods. This study therefore suggests the adoption of the Exponential model to model the learning curves for production workers learning to make precast components. The model has a satisfactory degree of fit (R2 > 0.88), and the post-cross-validation results also show that the model has a highly accurate prediction capability (MAPE value < 10%). The finding can serve as an important reference for the creation of production personnel allocation plans, personnel reserve plans, and training plans at precast factories in the construction industry.

Model for Simulating the Financial Viability of a Just-in-Time Maintenance Program in an Agribusiness Company

Research Question: The objective of this article is to present the model for simulating the financial viability of a Just-in-Time Maintenance Program in an agribusiness company. Motivation: Maintenance management in agro-industrial environments lacks effective systems to optimize the production process. The existing maintenance program have proven to be ineffective, from the point of view that unscheduled production downtime continues to occur. It is important to highlight that the types of maintenance used today, considering that their characteristics are not able to reduce or minimize the errors caused by human limited capacity, which has contributed to the increase of unscheduled production stoppages, causing equipment unavailability, low quality of final products and, mainly, failing to deliver products as agreed with customers. Idea: The maintenance program called Just-In-Time Maintenance Program - Maintenance Just in Time – consists of an integrated system for monitoring physical phenomena, with sensors installed in the equipment, connected to a central diagnosis able to predict failures in real time. With this program, it is possible to know in advance what may happen, taking the necessary measures regarding the acquisition of parts, repairs, and personnel allocation, among others, making these stops compatible or readjusting them with the production plan to minimize the undesirable stops. Data: The choice of the company participating in the research is made due to its continuous production process. The present study used a non-probabilistic sample for convenience with that provided by the observed company. The information collected in the agribusiness regarding the selling price, cost of raw material, cost of electricity, and total expenditure on maintenance, refer to the year 2020. Tools: A mathematical model was developed that estimates variations in the company's productivity and the consequent financial impacts. The results, operational and financial, of the model allow assessing the feasibility of implementing each of these programs. Findings: The results obtained indicate losses with the current maintenance program and show the potential for implementing the Just-In-Time Maintenance Program. This research concludes that it is possible to reduce unscheduled stoppages that cause production interruptions, increasing profit, with the implementation of the Just-In-Time Maintenance Program. Contribution: This article contributes to the literature as it presents an equipment maintenance model based on operational conditions, in contrast to other existing maintenance programs.

Research on the Problems and Countermeasures of Laboratory Management in Colleges and Universities

University laboratories are responsible for providing professional venues for practical teaching and scientific research, and the quality of their management can directly affect the quality of research and research work in universities. At present, there are some problems in the laboratory management of colleges and universities in China, such as imperfect laboratory management system, imperfect laboratory personnel allocation and management, incomplete laboratory infrastructure construction, and incomplete laboratory safety management. In view of these problems, this paper puts forward five aspects of university laboratory management countermeasures.