scholarly journals Analysis of the Operating Efficiency of China's Securities Companies based on DEA Method

2016 ◽  
Author(s):  
Wei Huang ◽  
Qiancheng Guan ◽  
Hui Zhao
Keyword(s):  
Operating Efficiency ◽  
Dea Method

PERFORMANCE MEASUREMENT IN MILITARY PROVISIONS: THE CASE OF RETAIL STORES OF TAIWAN'S GENERAL WELFARE SERVICE MINISTRY

2007 ◽  
Vol 24 (03) ◽  
pp. 313-332 ◽  
Author(s):  
CHYAN YANG ◽  
JAMES TSUNG-CHENG WANG ◽  
WEN-MIN LU
Keyword(s):  
Operating Efficiency ◽  
Retail Stores ◽  
Data Envelopment ◽  
National Defense ◽  
Welfare Service ◽  
General Welfare ◽  
Operational Management ◽  
Potential Applications ◽  
Dea Method ◽  
The Military

This paper aims to explore the operating efficiency and the benchmark-learning roadmap of the military retail stores for Taiwan's General Welfare Service Ministry (GWSM). This study also presents an extension to the data envelopment analysis (DEA) method, by incorporating the traditional DEA, stratification DEA, attractiveness measure, and progress measure for assessing the performance of 31 retail stores of GWSM. The assessment can assist the Ministry of National Defense to improve the operational management of GWSM and to help the military retail stores on better delivering and efficient service to soldiers, veterans, and their dependents. The potential applications and strengths of DEA in assessing the military retail stores are highlighted.

A Study on the Influence of Buyback on the Operating Efficiency of the Company

2012 ◽  
Vol 3 (4) ◽  
pp. 56-60
Author(s):  
V.SUBHAMATHI V.SUBHAMATHI ◽  
◽  
Dr.S.ARAMVALARTHAN Dr.S.ARAMVALARTHAN
Keyword(s):  
Operating Efficiency

A Split Network based Routing Approach in Wireless Sensor Network to Enhance Network Stability

2019 ◽  
Vol 9 (4) ◽  
pp. 480-487 ◽  
Author(s):  
Hardeep S. Saini ◽  
Dinesh Arora
Keyword(s):  
Energy Consumption ◽  
Sensor Network ◽  
Energy Efficient ◽  
Cluster Head ◽  
Base Station ◽  
Operating Efficiency ◽  
Network Stability ◽  
Major Factors ◽  
Ch Selection

Background & Objective: The operating efficiency of a sensor network totally relies upon the energy that is consumed by the nodes to perform various tasks like data transmission etc. Thus, it becomes mandatory to consume the energy in an intelligent way so that the network can run for a long period. This paper proposed an energy efficient Cluster Head (CH) selection mechanism by considering the distance to Base Station (BS), distance to node and energy as major factors. The concept of volunteer node is also introduced with an objective to reduce the energy consumption of the CH to transmit data from source to BS. The role of the volunteer node is to transmit the data successfully from source to destination or BS. Conclusion: The results are observed with respect to the Alive nodes, dead nodes and energy consumption of the network. The outcome of the proposed work proves that it outperforms the traditional mechanisms.

scholarly journals Addressing the challenges in projects of water treatment plants and storage of potable water: a case studies of the water supply system in the state of Goiás, Brazil

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Anne Louise de Melo Dores ◽  
Felipe Corrêa Veloso dos Santos
Keyword(s):  
Water Treatment ◽  
Water Supply ◽  
Treatment Plant ◽  
Water System ◽  
Treatment Phase ◽  
Water Treatment Plant ◽  
Operating Efficiency ◽  
Water Supply Systems ◽  
Storage Tanks ◽  
Variation Curve

AbstractTo elaborate efficient and economical water supply systems is one of the main objectives in the sanitation companies water system projects. In order to address the challenges faced in reaching this objective, this study aims to identify, first, the relation between the percentage of non-conformed samples in treated water and the inefficiency of the filtering units installed in the water treatment plant, and second, if, by drawing the consumption variation curve it is the most efficient way to predict the storage tanks volume—comparing necessary capacity, determined by the consumption curve, and installed capacity, predict by the outdated Brazilian normative. In order to reach answers for these two questions, this study measured the operating efficiency of the treatment plant as well as have set a quantitative comparison between the two dimensioning criteria for storage tanks volume present in the literature. As a result, the analysis provided the authors to detect a focus of contamination in the single-layered filtering units, limited by the filtering capacity of 2–6 m3/(m2 day), whilst operating at 333.13 m3/(m2 day). As well as to detect by the drawing of the consumption variation curve an oversize of 68% and 60% in the dimensioning of the studied storage tanks. With the results provided by this analysis approach, it was possible to efficiently detect and correct critical impairments in the treatment phase and to conclude that a long-term analysis should be drawn in order to affirm if the consumption variation curve is the best design methodology for the reservoirs.

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