Resource Management Strategy in Case of Disaster Based on Queuing Theory

2020 ◽  
pp. 26-38
Author(s):  
Darin Mosquera ◽  
Edwin Rivas ◽  
Luis Alejandro Arias
Keyword(s):  
Resource Management ◽  
Queuing Theory ◽  
Management Strategy

scholarly journals MENADŽMENT I PLANIRANJE LJUDSKIH RESURSA / MANAGEMENT AND PLANING HUMAN RESOURCES

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Biljana Panić ◽  
Jana Cvijić ◽  
Nada Petrović
Keyword(s):  
Resource Management ◽  
Human Resources ◽  
Human Resource Management ◽  
Human Resource ◽  
Management Strategy ◽  
Practical Knowledge ◽  
Human Resources Management ◽  
Organizational Level ◽  
Resources Management

The importance study shows is based on the possibility of a company that through proper human resources management strategy achieved an increase in effectiveness and efficiency, and therefore the productivity of business in the conditions of high competition. Strategic management of human resources is an important part of the sphere of management, and is based on a theoretical - practical knowledge in the field of work psychology. Human resource management can significantly influence the behavior of employees, their attitudes and success. People, their skills, knowledge and information are the characteristic of the each organization and can not be copied. It must be borne in mind that human resource management can fail if the pursuit organitzacija hire the wrong people, or if they are not motivated enough to their employed. Human resources management strategy needs to be aligned with the company’s strategy. Basic objectives and methods of human resource management needs to ensure the success of the company. Human resources management strategy has an important operational and managerial function carried out by managers of human reusrse. Management Strategy managers are determined by the quality of employees and their potential. The objectives of human resources management in the organization is directly related to the individual indicators work and results achieved by the employees. From the quality of motivation and stimulation of employees rise to its productivity, loyalty and quality of work. At the organizational level, human resource management strategy should be aimed at increasing the level of average productivity, improving quality, improving working conditions. Planing human resources is achieved competitive strategy of the organization. All of that contribute the most to employees and their productive possibility.

scholarly journals Management Strategy For Administration Of Textile Industries In A Developing Country: Case Study Thailand

2011 ◽  
Vol 5 (3) ◽  
pp. 37 ◽  
Author(s):  
Thongphon Promsaka Na Sakolnakorn ◽  
Sukanya Aim-Im-Tham ◽  
Suranart Khamanarong
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Financial Performance ◽  
Organizational Development ◽  
Human Resource ◽  
Management Strategy ◽  
Quantitative Methods ◽  
Coefficient Of Determination ◽  
Northeast Thailand ◽  
Textile Industries

This paper will detail the significant problems with the management of the textile industry in northeast Thailand and suggest a management strategy that will solve those problems. The objectives of this study are to study the factors affecting the organizational development of textile industries and to explore the guidelines for development of the operation and management of textile industries. For this research, data were collected and analyzed, using both qualitative and quantitative methods. Researchers conducted interviews with 18 entrepreneurs in textile industries in northeast Thailand and analyzed the data by doing a content analysis. From the interviews, researchers discovered six influences on the organizational development of textile industries: 1) human resource management, 2) financial performance, 3) knowledge capital, 4) marketing management, 5) supply chain management, and 6) manufacturing management and technology. The quantitative research consisted of a questionnaire that was mailed to entrepreneurs. Multiple regression (SPSS) of this data was then performed. From this analysis, financial performance and human resource management were found to be the most significant issues that entrepreneurs should consider in the management of textile industries. To solve this problem, researchers suggest that entrepreneurs use strategic outsourcing to transfer part of their production to village enterprises. A coefficient of determination of R2 = 0.208 and Durbin-W Aston = 1.903 was obtained in the study

The use of savings as a family resource management strategy to meet child rearing costs

Lifestyles ◽  
1989 ◽  
Vol 10 (3) ◽  
pp. 233-248 ◽  
Author(s):  
Robin A. Douthitt ◽  
Joanne M. Fedyk
Keyword(s):  
Resource Management ◽  
Management Strategy ◽  
Child Rearing ◽  
Family Resource Management ◽  
Family Resource

scholarly journals An Energy and SLA-Aware Resource Management Strategy in Cloud Data Centers

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Chi Zhang ◽  
Yuxin Wang ◽  
Yuanchen Lv ◽  
Hao Wu ◽  
He Guo
Keyword(s):  
Energy Consumption ◽  
Resource Management ◽  
Management Strategy ◽  
Data Centers ◽  
Minimum Energy ◽  
Service Level Agreement ◽  
Cloud Data ◽  
Cpu Utilization ◽  
Cloud Data Centers ◽  
Detecting Method

Reducing energy consumption of data centers is an important way for cloud providers to improve their investment yield, but they must also ensure that the services delivered meet the various requirements of consumers. In this paper, we propose a resource management strategy to reduce both energy consumption and Service Level Agreement (SLA) violations in cloud data centers. It contains three improved methods for subproblems in dynamic virtual machine (VM) consolidation. For making hosts detection more effective and improving the VM selection results, first, the overloaded hosts detecting method sets a dynamic independent saturation threshold for each host, respectively, which takes the CPU utilization trend into consideration; second, the underutilized hosts detecting method uses multiple factors besides CPU utilization and the Naive Bayesian classifier to calculate the combined weights of hosts in prioritization step; and third, the VM selection method considers both current CPU usage and future growth space of CPU demand of VMs. To evaluate the performance of the proposed strategy, it is simulated in CloudSim and compared with five existing energy–saving strategies using real-world workload traces. The experimental results show that our strategy outperforms others with minimum energy consumption and SLA violation.

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