A comparison of existing grouping efficiency measures and a new weighted grouping efficiency measure

2001 ◽  
Vol 33 (1) ◽  
pp. 11-27 ◽  
Author(s):  
BHABA R. SARKER ◽  
MUSLEMA KHAN
Keyword(s):  
Efficiency Measure ◽  
Efficiency Measures ◽  
Grouping Efficiency

Multi-Objective Optimization Approach for Improving Performance of Building

2009 ◽  
Vol 3 (3) ◽  
pp. 70-73
Author(s):  
A. Kamenders ◽  
A. Blumberga
Keyword(s):  
Energy Efficiency ◽  
Target Function ◽  
Complex Problem ◽  
Optimization Approach ◽  
Efficiency Measure ◽  
Multi Objective Optimization ◽  
Energy Efficiency Measures ◽  
Multi Objective ◽  
Energy Efficiency Measure ◽  
Efficiency Measures

Multi-Objective Optimization Approach for Improving Performance of Building Energy efficiency measures are different from energy efficiency and cost effectiveness perspective. For decision maker it is hard to make right decision about different energy efficiency measure combinations in building. It is a complex problem to choose the best energy efficiency measure combination as decision involves many different factors that should be taken in account. Decision on implementation of energy efficiency measure implementation usually depends on investment costs and pay back time. Standards like Latvian Building Code LBN 002-01 can't be used to achieve reasonable expenses in renovation of buildings. Therefore, in order to find the optimal energy-efficiency measures, it is necessary to carry out optimization taking all the variable parameters into account. In the paper target function was presented that gives ability of the multi-objective optimization approach to handle the problem of improving energy efficiency in buildings. Case study is used to demonstrate the feasibility of the approach. 104. series soviet type dwellings was analysed to optimized insulation thickness for external walls. Even if accord with the LBN 002-01 it is enough to use 7 cm thick isolation (λ-0,039 W/(m2K)) layers optimal insulation layer is 12 cm (λ-0,039 W/(m2K)).

Utilization-based grouping efficiency and multi-criteria decision approach in designing of manufacturing cells

2016 ◽  
Vol 231 (3) ◽  
pp. 505-522
Author(s):  
Tamal Ghosh ◽  
B Doloi ◽  
Pranab K Dan
Keyword(s):  
Manufacturing System ◽  
Cellular Manufacturing ◽  
Cell Formation ◽  
Performance Measure ◽  
Test Problems ◽  
Cellular Manufacturing System ◽  
Efficiency Measures ◽  
Ratio Data ◽  
Grouping Efficiency ◽  
The Subject

The essence of the “ratio data” in cellular manufacturing system has rarely been correctly emphasized since past few decades of research and study. This article is an attempt to deal with cell formation problem which exploits machine utilization percentage and eliminates the “fuzziness” on the subject of ratio data. In the course of this study, a distinctive technique is adopted based on multi-criteria decision technique with significant modifications which is experimented on test data and compared with published methodology. To verify the grouping result, a novel performance measure is proposed and elaborated analytically to establish its superiority and robustness over the earlier efficiency measures published in the past literature of cellular manufacturing system. The novelty of this research remains in eradicating ambiguities on the subject of “ratio data,” imposing appropriate rules while generating the test problems, catering a unique multi-criteria decision technique–based approach and a novel performance measure for the aforesaid problem.

Input Efficiency Measures: A Generalized, Encompassing Formulation

2020 ◽  
Vol 68 (6) ◽  
pp. 1836-1849
Author(s):  
Walter Briec ◽  
Laurent Cavaignac ◽  
Kristiaan Kerstens
Keyword(s):  
Linear Programming ◽  
Mathematical Programming ◽  
Special Focus ◽  
Efficiency Measure ◽  
Efficiency Measures ◽  
Input Efficiency

In the article “Input Efficiency Measures: A Generalized, Encompassing Formulation” we develop a generalized, encompassing formulation unifying four traditional input efficiency measures: radial, Färe-Lovell, asymmetric Färe, and multiplicative Färe-Lovell. This is basically motivated by the fact that observations on production need not be situated near the efficient subset, but could also be positioned close to the isoquant or even the boundary of the technology. This new generalized Färe-Lovell input efficiency measure shares its axiomatic properties with the original Färe-Lovell input efficiency measure. In addition, we can derive new dual interpretations for this generalized Färe-Lovell input efficiency measure. Finally, we derive mathematical programming formulations, with a special focus on cases where linear programming applies.

Reworks: A robust system efficiency measure

2018 ◽  
Vol 18 (3) ◽  
pp. 183-191 ◽  
Author(s):  
Ralph Renger ◽  
Brain Keogh ◽  
Andrew Hawkins ◽  
Jirina Foltysova ◽  
Eric Souvannasacd
Keyword(s):  
Standard Operating Procedure ◽  
Technology Leadership ◽  
System Evaluation ◽  
System Efficiency ◽  
Efficiency Measure ◽  
Think Tank ◽  
Evaluation Theory ◽  
Universal System ◽  
Efficiency Measures ◽  
Proxy Measure

The article reports on the inaugural Australian-American system evaluation summit convened in Wyoming, USA, focusing on the application of system evaluation theory (SET). The think tank noted SET’s efficiency principles and published illustrations are emergency response sector specific and pondered whether efficiency measures could be identified for systems targeting complex social problems. The article describes how the think tank used the concept of system waste as a springboard to identify reworks as a universal system efficiency measure. Reworks were defined as repeating all or part of a system standard operating procedure (SOP) or adding additional steps to the SOP to satisfy externalities to the primary purpose. The article then describes the think tank conclusions regarding the utility of reworks as a proxy measure for the four SET factors influencing system efficiency: training, information technology, leadership and culture. The think tank concludes with a discussion of the cautions evaluators should observe when interpreting reworks.

EXTREME LEARNING MACHINE FOR DETERMINING SIGNED EFFICIENCY MEASURE FROM DATA

2013 ◽  
Vol 21 (supp02) ◽  
pp. 131-142 ◽  
Author(s):  
YINGJIE LI ◽  
PETER H. F. NG ◽  
SIMON C. K. SHIU
Keyword(s):  
Extreme Learning Machine ◽  
Special Kind ◽  
Fuzzy Measure ◽  
Efficiency Measure ◽  
Fuzzy Measures ◽  
Efficiency Measures ◽  
A New Technique ◽  
Learning Machine ◽  
Hidden Layer ◽  
Signed Efficiency Measures

The techniques of fuzzy measure and fuzzy integral have been successfully applied in various real-world applications. The determination of fuzzy measures is the most difficult part in problem solving. Signed efficiency measure, which is a special kind of fuzzy measure with the best representation ability but the highest complexity, is even harder to determine. Some methodologies have been developed for solving this problem such as artificial neural networks (ANNs) and genetic algorithms (GAs). However, none of the existing methods can outperform the others with unique advantages. Thus, there is a strong need to develop a new technique for learning distinct signed efficiency measures from data. Extreme learning machine (ELM) is a new learning paradigm for training single hidden layer feed-forward networks (SLFNs) with randomly chosen input weights and analytically determined output weights. In this paper, we propose an ELM based algorithm for signed efficiency measure determination. Experimental comparisons demonstrate the effectiveness of the proposed method in both time and accuracy.

Nonlinear Efficiency in DEA Relative to “Ideal Reference”

2014 ◽  
pp. 1637-1647
Author(s):  
P. Sunil Dharmapala
Keyword(s):  
Data Envelopment Analysis ◽  
Best Practice ◽  
Data Envelopment ◽  
Efficiency Measure ◽  
The Past ◽  
Efficiency Measures ◽  
Assurance Regions ◽  
Nonlinear Measure

Several researchers in the past have emphasized the importance of computing efficiency measures in Data Envelopment Analysis (DEA) relative to a best-practice benchmark. Thompson et al. (1995) introduced a nonlinear efficiency measure with linked-cone (LC) assurance-regions (AR) in DEA. In this paper, we compute Thompson-Thrall's measure vis-à-vis linear efficiency measures of CCR (Charnes et al., 1978), BCC (Banker et al., 1984), CCR/AR and BCC/AR (Thompson et al., 1992), relative to “ideal reference”- an industry average. We demonstrate the computations in an application to a set of banks and show that the nonlinear measure is stricter than the linear measures.

scholarly journals Devising Classes of Energy Efficiency Measure for Evaluating Pay-4-Performance Rate That Energy Provider Will Be Willing to Offer in Pay-4-Performance Scheme

Proceedings ◽  
2020 ◽  
Vol 65 (1) ◽  
pp. 11
Author(s):  
Vincenzo D’Agostino ◽  
Arturo Lapietra ◽  
Luca Petrungaro
Keyword(s):  
Energy Efficiency ◽  
Efficiency Measure ◽  
Energy Efficiency Measures ◽  
Energy Efficiency Measure ◽  
Efficiency Measures ◽  
Energy Provider ◽  
Performance Rate

This study provides an estimation of pay-4-performance (P4P) rates that energy providers are willing to offer in a P4P scheme in EU according to the classification of Energy efficiency measures (classes of EEMs). Seven different categories of EEMs are identified and 4 different tables for evaluating the EEMs are devised. After devising the classes of EEMs, the P4P rate concept is presented through the mechanism of the Energy Efficiency obligation schemes and considering the energy providers’ perspective. The proposed approach is not focused on quantifying the P4P rates, but on identifying which variables and parameters can affect these rates.

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