Generalized Estimation of Productivity with Multiple Bad Outputs: the Importance of Materials Balance Constraints

2020 ◽  
Author(s):  
Scott E. Atkinson ◽  
Mike G. Tsionas
Keyword(s):  
Materials Balance ◽  
Bad Outputs

Measuring firm performance: Bayesian estimates with good and bad outputs

2014 ◽  
Vol 67 (6) ◽  
pp. 1249-1256 ◽  
Author(s):  
A. George Assaf ◽  
Alexander Josiassen ◽  
David Gillen
Keyword(s):  
Firm Performance ◽  
Bayesian Estimates ◽  
Bad Outputs

Use of a mass balance model for developing guidelines for treatment plant recycle streams

2001 ◽  
Vol 1 (4) ◽  
pp. 169-176
Author(s):  
K.H. Carlson ◽  
W.H. Bellamy
Keyword(s):  
Treatment Effectiveness ◽  
Treatment Plant ◽  
Significant Risk ◽  
Balance Model ◽  
Sludge Dewatering ◽  
Adequate Treatment ◽  
Materials Balance ◽  
Treatment Conditions ◽  
The Impact ◽  
Plant Treatment

Recycling treatment, plant waste streams has become an important issue and the EPA is currently developing a rule for controlling and potentially limiting these streams. The impact to the overall treatment process and the relative risk of various recycle streams can be evaluated with a materials balance model of a treatment plant. A steady-state materials balance model was developed and applied to the recycle of backwash waste water, clarifier sludge supernatant and sludge dewatering supernatant. Recycling backwash water reduced the plant treatment effectiveness from 3.0 log to 2.95 log removal when the recycle stream was treated (0.5 log removal) and 2.84 log removal when not treated. Recycling clarifier sludge supernatant resulted in a reduction of performance from 3.0 log to 2.78 log removal with adequate treatment (0.5 log removal) and 1.95 log removal with inadequate treatment (10% removal). The model was used to identify vulnerable treatment conditions. Conventional treatment with a poorly operated or upset clarifier was identified as a significant risk with the overall treatment effectiveness decreasing from 3.0 to 2.3 log removal.

Dynamic Efficiency and Productivity

2018 ◽  
pp. 182-210
Author(s):  
Rolf Färe ◽  
Shawna Grosskopf ◽  
Dimitris Margaritis ◽  
William L. Weber
Keyword(s):  
Dynamic Models ◽  
Distance Functions ◽  
Data Envelopment ◽  
Supply Chain Networks ◽  
Dynamic Framework ◽  
Future Production ◽  
Productivity Indices ◽  
Bad Outputs ◽  
Time Substitution ◽  
Efficiency And Productivity

The focus of this chapter is to move the measurement of efficiency and productivity from a static to a dynamic approach using distance functions. Since distance functions represent technology, the authors first specify that technology in a dynamic framework is amenable to data envelopment analysis (DEA)–type estimation, explicitly allowing current (or past) decisions to affect future production possibilities. This includes notions of intermediate products, investment, time substitution, supply chain, networks and possible reallocations across time. The chapter shows how to estimate dynamic distance functions and specify a multi-period dynamic model in the spirit of Ramsey (1928), as well as an adjacent-period model familiar from the Malmquist productivity literature, providing an empirical illustration of the former. Extensions of these dynamic models is relatively straightforward for other distance function–based productivity indices, both parametric and nonparametric, as well as for production in the presence of good and bad outputs.

Tellurium doped n-type Zintl Zr3Ni3Sb4 thermoelectric materials: Balance between carrier-scattering mechanism and bipolar effect

2017 ◽  
Vol 2 ◽  
pp. 54-61 ◽  
Author(s):  
Zihang Liu ◽  
Jun Mao ◽  
Shengyuan Peng ◽  
Binqiang Zhou ◽  
Weihong Gao ◽  
...  
Keyword(s):  
Thermoelectric Materials ◽  
Scattering Mechanism ◽  
Carrier Scattering ◽  
Materials Balance

Potential gains from trading bad outputs: The case of U.S. electric power plants

2014 ◽  
Vol 36 (1) ◽  
pp. 99-112 ◽  
Author(s):  
Rolf Färe ◽  
Shawna Grosskopf ◽  
Carl A. Pasurka
Keyword(s):  
Electric Power ◽  
Power Plants ◽  
Electric Power Plants ◽  
Bad Outputs

Model Used for On-Line Testing Resolution Ratio of Baked Limestone in Lime Furnace

2013 ◽  
Vol 291-294 ◽  
pp. 734-737
Author(s):  
Zheng Ming Yi ◽  
Hui Xiao ◽  
Jia Lin Song
Keyword(s):  
Carbon Dioxide ◽  
Calculation Model ◽  
Thermal Balance ◽  
Outlet Temperature ◽  
Materials Balance ◽  
Flux Concentration ◽  
On Line

Based on the principle of thermal balance and materials balance in lime furnace, a calculation model used for on-line testing the resolution ratio of baked limestone in lime furnace is conducted by using of parameters that can be measured in spot. For a lime furnace in operating, the resolution ratio of baked limestone can be predicted on time by this model when mass input of limestone, coke ratio, air flux, concentration of carbon dioxide in outlet, temperature of flue in outlet and temperature of output lime are measured in-line. The calculation model has been testified with actual parameters and proved to be operable.

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