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1

DeWeese, Michael R., and Anthony Zador. "Efficiency measures." Nature 439, no. 7079 (2006): 920–21. http://dx.doi.org/10.1038/439920a.

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2

Mukundan, Govind, and David Seidenwurm. "Performance Measures, Efficiency, Productivity." Neuroimaging Clinics of North America 22, no. 3 (2012): 451–56. http://dx.doi.org/10.1016/j.nic.2012.05.009.

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3

Wittkoff, Wallace. "Efficiency through indirect measures." World Pumps 2012, no. 4 (2012): 39–41. http://dx.doi.org/10.1016/s0262-1762(12)70097-4.

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4

Robert Russell, R. "Measures of technical efficiency." Journal of Economic Theory 35, no. 1 (1985): 109–26. http://dx.doi.org/10.1016/0022-0531(85)90064-x.

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5

SARKER, BHABA R., and MUSLEMA KHAN. "A comparison of existing grouping efficiency measures and a new weighted grouping efficiency measure." IIE Transactions 33, no. 1 (2001): 11–27. http://dx.doi.org/10.1080/07408170108936803.

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6

Cui, Qiang, and Ye Li. "Airline efficiency measures using a Dynamic Epsilon-Based Measure model." Transportation Research Part A: Policy and Practice 100 (June 2017): 121–34. http://dx.doi.org/10.1016/j.tra.2017.04.013.

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7

SENGUPTA, JATI K. "Robust efficiency measures in a stochastic efficiency model." International Journal of Systems Science 19, no. 5 (1988): 779–91. http://dx.doi.org/10.1080/00207728808967642.

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8

Jermyn, Adam S., Evan H. Anders, Daniel Lecoanet, Matteo Cantiello, and Jared A. Goldberg. "Measures of Efficiency of Convection." Research Notes of the AAS 6, no. 2 (2022): 29. http://dx.doi.org/10.3847/2515-5172/ac531e.

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Abstract Convection is efficient when advection matters much more than thermal diffusion. Despite this conceptually simple definition, there are several different measures of convective efficiency which are not quite equivalent. Here we recall the definitions of these measures and examine how they are related in different limits.
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9

Scheel, Holger, and Stefan Scholtes. "Continuity of DEA Efficiency Measures." Operations Research 51, no. 1 (2003): 149–59. http://dx.doi.org/10.1287/opre.51.1.149.12803.

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10

Bojnec, Štefan, and Laure Latruffe. "Measures of farm business efficiency." Industrial Management & Data Systems 108, no. 2 (2008): 258–70. http://dx.doi.org/10.1108/02635570810847617.

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11

Jeschke, Hartwig. "Efficiency measures for SOC concepts." Journal of Systems Architecture 54, no. 11 (2008): 1039–45. http://dx.doi.org/10.1016/j.sysarc.2008.04.008.

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12

Andonie, Costel, Christoph Kuzmics, and Brian W. Rogers. "Efficiency-based measures of inequality." Journal of Mathematical Economics 85 (December 2019): 60–69. http://dx.doi.org/10.1016/j.jmateco.2019.09.002.

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13

Olesen, Ole Bent, Niels Christian Petersen, and Victor V. Podinovski. "Efficiency analysis with ratio measures." European Journal of Operational Research 245, no. 2 (2015): 446–62. http://dx.doi.org/10.1016/j.ejor.2015.03.013.

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14

Sengupta, Jati K. "Nonlinear measures of technical efficiency." Computers & Operations Research 16, no. 1 (1989): 55–65. http://dx.doi.org/10.1016/0305-0548(89)90052-x.

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15

Baines, P. G., and C. G. Carrington. "Second law measures of efficiency." International Journal of Energy Research 10, no. 2 (1986): 189–91. http://dx.doi.org/10.1002/er.4440100209.

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16

Filip, Larisa-Ofelia, and Simona Cucaila. "Processing of measures measured in underground polygonations." MATEC Web of Conferences 342 (2021): 02018. http://dx.doi.org/10.1051/matecconf/202134202018.

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The information, which is the concrete basis for solving geodetic and topographic problems, comes from measurement observations made on quantities that are mainly angles and distances. The quality of the observations has an important role in achieving the objectives for which they are executed, in conditions of efficiency and safety. As topographically, underground works are conducted using polygonal paths, the methods used for processing measurements are of great interest.
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17

Papoušek, J. "Evaluation of efficiency of the Common Measures – measures for land accessibility, implemented within land consolidation." Agricultural Economics (Zemědělská ekonomika) 57, No. 10 (2011): 500–505. http://dx.doi.org/10.17221/26/2010-agricecon.

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By the means of Land Consolidation is understood, in accord with law No. 139/2002 Coll., spending of funds on land consolidations and land offices, provided the accessibility of grounds in public interest. Land consolidations also ensure the conditions for improvement of the ecosystem, protection and reclamation of land resources, waterway management and the increase of the ecological stability of landscape. All mentioned measures are collectively called the Common Measures, rural roads being one of the most significant of these measures as far as the ground accessibility is concerned. According to the Ministry of Agriculture and the Central Land Office (MZe, ÚPÚ) statistics, for instance in 2008, over 707.4 million CZK was spent on the common measures projects from the public funds. Of this sum, 82 per cent was spent on financing of the land accessibility projects – rural roads and objects on them. The Cost & Benefit Analysis (CBA) method was applied. The analysis explains step by step what benefits the investment projects bring and to whom, as well as what and from whom it takes something away. Thus defined effects and impacts are aggregated, converted into financial flows and included in the calculation of criteria indicators. These calculations enable to make decision whether the concerned project is in its consequences generally contributive. There is a difficulty in the method – it is applied ex-ante, which usually leads to the exaggerated input parameters, which may be significantly affected by a number of variable effects (time factor, socio-economic impacts, inflation rate, etc.). The ex-post application of the method cannot be objectively used due to the absence of the statistically processed input data for the analysis. Such data must be collected during the operational period of the realized investments. This is caused by the fact that these analyses consider lifetime of these investments in terms of 25–30 years. The ÚPÚ statistics, however, say that the operational period of most of realized common measures has not reached one half of their lifetime yet. The ex-ante analysis enables to evaluate the possible difficulty and the general benefit of projects, including their impact on the broad spectrum of subjects.  
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18

Didur, K., and S. Dmitryuk. "ECONOMIC EFFICIENCY OF IMPLEMENTING WORKING MEASURES." Agrosvit, no. 5 (March 17, 2020): 43. http://dx.doi.org/10.32702/2306-6792.2020.5.43.

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19

Severnyák, Krisztina. "Overhead Reduction or Energy Efficiency Measures." Applied Mechanics and Materials 824 (January 2016): 493–502. http://dx.doi.org/10.4028/www.scientific.net/amm.824.493.

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The energy efficiency minimum requirements determined at the Decree 2006/7 by the Minister without Portfolio, has been amended in 2015, only prescribes cost optimisation levels corresponding in strictness to those by the European Union as set out in the Directive 2010/631 EU for state or EU founded renovations. With the artificial decrease in energy prices in Hungary in 2012, requirements originally considered as optimal has changed and tightening is not needed any more. By maintaining the old requirements, the energy consumption and CO2 emission of renovated and newly constructed buildings will stay below optimum levels. Ignoring actual energy prices results in an apparently low return on constructing energy efficient buildings while energy awareness is also decreasing as a result of these measures. One may wonder about the energy efficiency measures that could have been financed from the savings coming from the enforced utility cost reduction, ones that would have resulted in real energy savings, thus benefitting both the users of buildings and the implementation of Hungarian commitments with the deadline of 2020.
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20

Burt, C. M., A. J. Clemmens, T. S. Strelkoff, et al. "Irrigation Performance Measures: Efficiency and Uniformity." Journal of Irrigation and Drainage Engineering 123, no. 6 (1997): 423–42. http://dx.doi.org/10.1061/(asce)0733-9437(1997)123:6(423).

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21

Merriam, John L., C. M. Burt, A. J. Clemmens, K. H. Solomon, T. A. Howell, and T. S. Strelkoff. "Irrigation Performance Measures: Efficiency and Uniformity." Journal of Irrigation and Drainage Engineering 125, no. 2 (1999): 97–99. http://dx.doi.org/10.1061/(asce)0733-9437(1999)125:2(97).

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22

Lynch, Dennis F., and Deborah K. Dietsch. "Water Efficiency Measures at Emory University." Journal of Green Building 5, no. 2 (2010): 41–54. http://dx.doi.org/10.3992/jgb.5.2.41.

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23

MEHREZ, ABRAHAM, J. RANDALL BROWN, and MOUTAZ KHOUJA. "Aggregate efficiency measures and Simpson's Paradox." Contemporary Accounting Research 9, no. 1 (1992): 329–42. http://dx.doi.org/10.1111/j.1911-3846.1992.tb00884.x.

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24

Sengupta, Jati K. "Systematic measures of dynamic Farrell efficiency." Applied Economics Letters 3, no. 2 (1996): 91–94. http://dx.doi.org/10.1080/135048596356771.

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25

Bergson, Abram. "The Communist Efficiency Gap: Alternative Measures." Comparative Economic Studies 36, no. 1 (1994): 1–12. http://dx.doi.org/10.1057/ces.1994.1.

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26

Bol, Georg. "On technical efficiency measures: A remark." Journal of Economic Theory 38, no. 2 (1986): 380–85. http://dx.doi.org/10.1016/0022-0531(86)90125-0.

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27

Robert Russell, R. "Continuity of measures of technical efficiency." Journal of Economic Theory 51, no. 2 (1990): 255–67. http://dx.doi.org/10.1016/0022-0531(90)90018-f.

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28

Preckel, Paul V., Jay T. Akridge, and Michael A. Boland. "Efficiency measures for retail fertilizer dealers." Agribusiness 13, no. 5 (1997): 497–509. http://dx.doi.org/10.1002/(sici)1520-6297(199709/10)13:5<497::aid-agr4>3.0.co;2-1.

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29

Jeong, Seok-Oh, Byeong U. Park, and Léopold Simar. "Nonparametric conditional efficiency measures: asymptotic properties." Annals of Operations Research 173, no. 1 (2008): 105–22. http://dx.doi.org/10.1007/s10479-008-0359-5.

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30

Agrawal, Anil Kumar, Prabhas Bhardwaj, and Vivek Srivastava. "On some measures for grouping efficiency." International Journal of Advanced Manufacturing Technology 56, no. 5-8 (2011): 789–98. http://dx.doi.org/10.1007/s00170-011-3201-1.

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31

Sharma, R. D. "Efficiency in Administration: Measures Required to Enhance Efficiency in Administration." Indian Journal of Public Administration 53, no. 1 (2007): 38–53. http://dx.doi.org/10.1177/0019556120070104.

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32

Cvetkov, V. "ALTERNATIVE MEASURES OF CENTRAL TENDENCY." Deutsche internationale Zeitschrift für zeitgenössische Wissenschaft 38 (August 17, 2022): 4–8. https://doi.org/10.5281/zenodo.7002877.

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This paper presents two new estimators of the expectation of a random variable X, which are also unbiased and consistent as an arithmetic mean but more efficient. The first one is called center owing to the fact that its value is usually located between the mean and the median of the analyzed data. The second one is called C2 statistic. Both statistics are weighted averages. The center and C2 are computed with weights which are functions of the remoteness of each observation from other. Thus, these statistics use all available data in contrast to the median or a trimmed mean. They are less sensitive to the effect of outliers than the arithmetic mean because of the fact that the outlying observations receive smaller weights than these which are close to the median. The article presents mathematical and empirical proofs of the above statements.
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33

Hrabánková, M. "Monitoring and project evaluation as a principle of following efficiency of adopted measures." Agricultural Economics (Zemědělská ekonomika) 49, No. 3 (2012): 128–32. http://dx.doi.org/10.17221/5276-agricecon.

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The contribution supplies an outline of indicators, through which benefits from projects will be followed, that are prepared for usage in the LFA areas. It will be necessary to use the monitoring system for realisation of measures suggested on the base of the research project. The main task is to follow the efficiency of adopted measures for the individual environment sections, to evaluate efficiency of subsidies and finances from the EU funds. From the hitherto results, it is obvious on which measures are the prepared projects oriented at and by what indicators it will be possible to evaluate outputs, results and impacts of realised projects. The prepared system will enable feedback on decisions regarding efficiency of the realised measures in the monitored areas.
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34

Pruchnicka-Grabias, Izabela. "Maximum Drawdown Measures in Hedge Fund Efficiency Appraisal." e-Finanse 12, no. 4 (2017): 83–91. http://dx.doi.org/10.1515/fiqf-2016-0010.

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Abstract The study concentrates on the comparison of hedge fund efficiency measured by maximum drawdown measures with traditional risk/return ratios. The examined period is from 1990 to 2011 and the data were provided by Hedge Fund Research. It is a continuation of the research done for a shorter period, that is for the years 2005 - 2011. The results obtained there were interesting and showed that the results of complex efficiency measures aren’t much different from traditional measures. It posed the question of whether it is worth applying them with their entire complexity. The author wants to check if the same conclusions will be drawn for a longer period. After having analyzed maximum drawdown measures, further research will be devoted to other groups of measures. It should give the answer to the question of whether complex efficiency measures are as useful as it is often stressed in the hedge fund literature.
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35

N. Seshadri, N. Seshadri, Dr D. Pradeep Kumar, and Dr T. Narayana Reddy. "A Study on Efficiency and Productivity of Commercial Banks Using Accounting Measures." Indian Journal of Applied Research 4, no. 1 (2011): 335–39. http://dx.doi.org/10.15373/2249555x/jan2014/98.

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36

Mogilenko, Alexandr. "Classification of factors affecting energy efficiency measures." Energy Safety and Energy Economy 6 (December 2017): 13–18. http://dx.doi.org/10.18635/2071-2219-2017-6-13-18.

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37

Vukadinovic, Ana, Jasmina Radosavljevic, Milan Protic, and Dejan Ristic. "Measures for energy efficiency improvement of buildings." Tehnika 70, no. 3 (2015): 409–14. http://dx.doi.org/10.5937/tehnika1503409v.

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38

Kron, Wolfgang, and Olaf Müller. "Efficiency of flood protection measures: selected examples." Water Policy 21, no. 3 (2019): 449–67. http://dx.doi.org/10.2166/wp.2019.023.

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Abstract The frequency of flood loss events is increasing, both regionally and globally, due to the rising population and subsequent development of flood-prone areas, and as a result of environmental and climatic changes. This observation is not universally true for the time series of the losses themselves, at least not in the past one or two decades. One explanation for this is the improvement in flood control and flood protection in certain countries, both for floods that originate in the sea (storm surges) and for inland floods. While the qualitative effect of protection measures – reducing losses – is undisputed, quantitative examples are rare. Performance, or efficiency, needs to be calculated by comparing the costs of investment and maintenance against the losses prevented after a measure was put in place. In this article, a quantitative analysis of the performance of flood control measures is presented for four cases: the storm surge protection of the city of Hamburg, the Mississippi River and Tributary project, the activities of the Tennessee Valley Authority and the Sylvenstein Reservoir in Bavaria. In each case, a significant benefit has been observed in the past decades, proving that flood protection pays off many times over.
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39

Arora, Padmasai. "Financial Performance Measures, Efficiency and Indian Banking." International Journal of Productivity Management and Assessment Technologies 1, no. 2 (2012): 43–56. http://dx.doi.org/10.4018/ijpmat.2012040104.

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Globalization forces are linking banking operations to worldwide markets making them vulnerable to global stress. This fundamental change compels banks to be more robust in terms of sound financial performance. Bankers worldwide compute a large number of financial measures using ratios to gauge bank performance. This paper calculates efficiency, an important indicator of financial performance of banks in India using Data Envelopment Analysis (DEA) for the period 2006-07. Following Jackson (1972), the paper investigates commonality that might exist among financial performance measures computed by banks in India and the estimated bank efficiency scores. Results of Factor Analysis uncovered fewer significant factors and interestingly show that efficiency scores do not cluster with other measures of bank performance despite emerging as one of the significant factor. The present paper argues that bankers and policy makers should not feel contented by looking at the standard performance measures alone. Rather, they should also try to examine bank performance vis-à-vis efficiency based on multiple inputs and outputs to capture the complete picture. A paradigm shift towards measurement of efficiency using sophisticated modeling techniques is recommended for better performance evaluation in banking.
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40

Pyć, Dorota. "Ship Energy Efficiency Measures and Climate Protection." International Community Law Review 23, no. 2-3 (2021): 241–51. http://dx.doi.org/10.1163/18719732-12341474.

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Abstract This paper addresses the importance of the implementation and enforcement of the energy efficiency measures for ships. These measures are frequently referred to and used as a tool for carbon mitigation by reducing greenhouse gas emissions from ships in order to protect the Earth’s climate. Moreover, these measures can also play an important role in climate adaptation. The purpose of this paper is to look briefly at the current and expected impact of the ships’ energy efficiency measures developed under auspices of the International Maritime Organization, i.e.: the Energy Efficiency Design Index (EEDI) and the Ship Energy Efficiency Management Plan (SEEMP) on climate change mitigation. Both of them, EEDI and SEEMP became mandatory measures after the adoption of amendments to the Annex VI of the International Convention for the Prevention of Pollution from Ships (MARPOL), and their entry into force in 2013. Furthermore, those measures were also the first legally binding tools relating to climate change, adopted since the Kyoto Protocol.
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41

Trusova, N. "EFFICIENCY OF MEASURES SANATION OF BUSINESS ENTITIES." Scientific papers OF TAVRIA STATE AGROTECHNOLOGICAL UNIVERSITY (ECONOMIC SCIENCES) 37 (2018): 229–35. http://dx.doi.org/10.31388/2519-884x-2018-37-229-235.

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42

Green, C. "Theatre efficiency: confounding factors for surrogate measures." Anaesthesia 67, no. 11 (2012): 1281. http://dx.doi.org/10.1111/anae.12012.

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43

Kalirajan, K. P., and R. T. Shand. "Frontier Production Functions and Technical Efficiency Measures." Journal of Economic Surveys 13, no. 2 (1999): 149–72. http://dx.doi.org/10.1111/1467-6419.00080.

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44

Briec, Walter, Laurent Cavaignac, and Kristiaan Kerstens. "Input Efficiency Measures: A Generalized, Encompassing Formulation." Operations Research 68, no. 6 (2020): 1836–49. http://dx.doi.org/10.1287/opre.2019.1963.

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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.
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45

Williams Ozowe, Augusta Heavens Ikevuje, Adindu Donatus Ogbu, and Andrew Emuobosa Esiri. "Energy efficiency measures for oil rig operations." Magna Scientia Advanced Research and Reviews 5, no. 1 (2022): 054–68. http://dx.doi.org/10.30574/msarr.2022.5.1.0050.

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Energy efficiency is a crucial focus in oil rig operations as the industry strives to reduce energy consumption and minimize environmental impact. This review explores various energy efficiency measures that can be implemented on offshore and onshore oil platforms, highlighting key technologies and strategies for enhancing operational sustainability. Electrification of oil rigs, replacing traditional diesel generators with grid power or renewable energy sources such as wind or solar, is identified as a significant step toward reducing reliance on fossil fuels and lowering CO2 emissions. Additionally, the use of heat recovery systems is emphasized for capturing waste heat from industrial processes and converting it into usable energy, thereby enhancing overall energy efficiency. Advanced monitoring and control technologies also play a critical role in optimizing energy use. By utilizing real-time data collection and automation, platforms can monitor energy consumption patterns, make data-driven adjustments, and implement predictive maintenance systems to reduce energy waste. The review further examines the use of energy-efficient equipment, including advanced motors, pumps, and compressors, as well as the potential of integrating renewable energy sources like solar and wind power into oil rig operations. Key challenges such as high upfront costs, technical constraints, and harsh environmental conditions are discussed, along with potential solutions such as government incentives, industry collaboration, and technological innovation. The findings suggest that implementing these energy efficiency measures will not only reduce the carbon footprint of oil platforms but also result in significant cost savings and align with global sustainability goals. The review concludes by underscoring the need for ongoing investment and policy support to drive further advancements in energy efficiency in the oil and gas industry.
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46

Worrell, Ernst, John A. Laitner, Michael Ruth, and Hodayah Finman. "Productivity benefits of industrial energy efficiency measures." Energy 28, no. 11 (2003): 1081–98. http://dx.doi.org/10.1016/s0360-5442(03)00091-4.

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47

Kao, Chiang, and Shiang-Tai Liu. "Fuzzy efficiency measures in data envelopment analysis." Fuzzy Sets and Systems 113, no. 3 (2000): 427–37. http://dx.doi.org/10.1016/s0165-0114(98)00137-7.

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48

Gerlagh, Reyer, and Michiel A. Keyzer. "Efficiency of conservationist measures: an optimist viewpoint." Journal of Environmental Economics and Management 46, no. 2 (2003): 310–33. http://dx.doi.org/10.1016/s0095-0696(02)00037-2.

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49

Azari-Rad, Hamid. "Inventory dynamics, time lags, and efficiency measures." International Journal of Production Economics 87, no. 1 (2004): 17–24. http://dx.doi.org/10.1016/s0925-5273(03)00096-3.

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50

Rossi, Martı́n Antonio, and Christian Alejandro Ruzzier. "On the regulatory application of efficiency measures." Utilities Policy 9, no. 2 (2000): 81–92. http://dx.doi.org/10.1016/s0957-1787(01)00008-x.

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