Development of performance assessment method for drinking water infrastructure

2013 ◽  
Vol 63 (2) ◽  
pp. 162-169 ◽  
Author(s):  
Y. Suzuki ◽  
W. Adachi ◽  
M. Amano ◽  
M. Fujiwara
2021 ◽  
Vol 106 ◽  
pp. 44-53
Author(s):  
Kailong Zhou ◽  
Xin Chen ◽  
Min Wu ◽  
Yosuke Nakanishi ◽  
Weihua Cao ◽  
...  

2013 ◽  
Vol 4 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Zhao Shi ◽  
Josu Takala ◽  
Matti Muhos ◽  
Jyrki Poikkimaki ◽  
Yang Chen

Abstract It is a core content of enterprise performance research evaluating and comparing enterprise performance in dynamic environment. In allusion to this problem, a variety of enterprise performance assessment methods and indexes systems are proposed. Data envelopment analysis (DEA) is a kind of effective mathematical model which is used for comparing the performance among enterprises or different units inside an enterprise, based on the real-world data. Through comparing the performance, DEA can evaluate the enterprise performance from scale effectiveness and technological effectiveness, and then get the performance optimization goals. Critical Factor Index (CFI) is a new enterprise performance assessment method proposed in recent years. This method, based on the performance perception of business leaders or staffs, evaluates the enterprise performance in different dimensions, and then gets the optimization strategy of enterprise resource allocation to improve integrated enterprise performance. This paper has structured a new evaluation and optimization system for performance of small and medium-sized enterprises (SMEs), which combine properly the DEA and CFI method to evaluate and optimize the SMEs’ performance comprehensively, and has confirm this system with data of 5 Finnish SMEs.


2021 ◽  
Vol 4 ◽  
pp. 1-6
Author(s):  
Georgianna Strode ◽  
Victor Mesev

Abstract. Drinking and wastewater infrastructure consists of both public and private usage. On each property parcel, drinking water can be privately provided by a well or publicly provided through a municipality. Wastewater can be a private septic tank or a public sewer. Property parcels can use all private, all public, or a combination of public and private solutions. It is important for planners and city officials to have knowledge of these systems, and it is also important to know the number of people using each type of infrastructure to prioritize resources and plan for future expansions. Visualizing the complexity of these data using separate univariate maps is aesthetically inferior involving back and forth comparisons. Further, the univariate maps represent land parcels only and do not capture the population that is using each type of water infrastructure. Our research develops a single bivariate map that facilitates the visualization of population using both public and private drinking and wastewater solutions simultaneously. The bivariate map is tended for use by planners, city officials, environmentalists, and others interested in the visualization of the spatial patterns of water infrastructure within one complete map.


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