Improving envelopment in data envelopment analysis

Allen, Rachel; Thanassoulis, Emmanuel

doi:10.1016/s0377-2217(03)00175-9

Cited by 109 publications

(92 citation statements)

References 16 publications

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“…The first group are the models in which input quantities can be proportionally reduced without changing the outputs quantities produced, whereas in the second group the output quantities can be proportionally expanded keeping the input quantities unchanged. Selection of the method is depending on the nature of problem to be solved (Allen & Thanassoulis, 2004;Bal et al, 2010).…”

Section: Deamentioning

confidence: 99%

Evaluation of Blasting Patterns Using Operational Research Models / Ocena Planów Prac Strzałowych W Oparciu O Metody Badań Operacyjnych

Monjezi¹,

Farzaneh²,

Asadi³

2013

Archives of Mining Sciences

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OCENA PLANÓW PRAC STRZAŁOWYCH W OPARCIU O METODY BADAŃ OPERACYJNYCHBlasting is one of the most important operations, which has a great technical and economical effect on the mining projects. Criteria such as fragmentation (operation ultimate objective) and ground vibration, flyrock, airblast, etc. (operation side effects) should be considered in the assessment of blasting operation. A suitable pattern should be able to provide both reasonable (required) fragmentation and blasting side effects. In order to evaluate blasting performance, operational research models such as multi attribute decision making technique (MADM) can be applied. Technique for order preference by similarity to an ideal solution (TOPSIS), a branch of MADM, is a strong method for pattern ranking. The other quantitative method which is applied in the evaluation of systems' efficiency is data envelopment analysis (DEA) model. In this paper, an attempt has been made to develop a new hybrid MADM model for selecting the most appropriate blasting pattern in Chadormalu iron mine, Iran. In this regard, DEA method was utilized to select the efficient blast patterns thereafter TOPSIS was used to recognize the most suitable pattern amongst the selected patterns by DEA method. It was concluded that the patterns J, G and B are the most appropriate patterns for blasting operations in the Chadormalu iron mine.Keywords: fragmentation, ground vibration, flyrock, airblast, TOPSIS, DEA Prace strzałowe to jedne z kluczowych operacji w znacznym stopniu determinujące efektywność ekonomiczną wielu projektów górniczych. W planowaniu prac strzałowych uwzględnić należy podstawowe kryteria, takie jak rozdrobnienie skał (ostateczny cel operacji), wibracje podłoża, występowanie rozrzutu skał, i podmuchów powietrza (efekty uboczne). Odpowiedni harmonogram prac zapewnić powinien zarówno odpowiedni poziom rozdrobnienia (wymiary brył) jak i ograniczenie skutków ubocznych prac. Dla oceny skuteczności prac strzałowych zastosować można modele badań operacyjnych, np. modele oparte o wielokryterialną technikę decyzyjną MADM, a technika ustalania kolejności preferowanych rozwiązań oparta o podobieństwo do rozwiązania idealnego (TOPSIS), wywodząca się z MADM, jest skuteczną metodą ustalania rankingu wzorców. Inną metodą ilościową stosowaną do oceny efektywności systemów jest metoda analizy danych DEA. W niniejszym artykule dokonano próby opracowania hybrydowego modelu MADM do wyboru najbardziej korzystnego planu prac strzałowych w kopalni rud żelaza Chadormalu, w Iranie. W ramach badań wykorzystano metodę DEA do wyboru skutecznego planu IntroductionIn the mining activities the prime aim of blasting operation is rock fragmentation that is necessary for subsequent processes such as transportation, crushing, etc. hence, achieving a higher efficiency (Bozich, 1998;Chakraborty, 2004;Latham et al., 2006;Mario & Ficarazzo, 2006;Ozkahraman, 2006;Shim et al., 2009) As a matter of fact, the explosive energy is not fully utilized for rock breakage and only 20-30% of the energy is practically...

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Section: Deamentioning

confidence: 99%

Evaluation of Blasting Patterns Using Operational Research Models / Ocena Planów Prac Strzałowych W Oparciu O Metody Badań Operacyjnych

Monjezi¹,

Farzaneh²,

Asadi³

2013

Archives of Mining Sciences

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“…To obtain realistic and acceptable weights, a multitude of ways to capture value judgements or prior information in DEA are proposed in literature (Allen & Thanassoulis, 2004;Allen et al, 1997). For a country with a very high score on alcohol for example, all input weight could be assigned to this indicator and all output weight to a very low number of fatalities.…”

Section: Modelmentioning

confidence: 99%

Benchmarking road safety: Lessons to learn from a data envelopment analysis

Hermans

Brijs

Wets

et al. 2009

Accident Analysis & Prevention

127

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Road safety performance indicators (SPI) have recently been proposed as a useful instrument in comparing countries on the performance of different risk aspects of their road safety system. In this respect, SPIs should be actionable, i.e. they should provide clear directions for policymakers about what action is needed and which priorities should be set in order to improve a country's road safety level in the most efficient way.This paper aims at contributing to this issue by proposing a computational model based on data envelopment analysis (DEA). Based on the model output, the good and bad aspects of road safety are identified for each country. Moreover, targets and priorities for policy actions can be set. As our data set contains 21 European countries for which a separate, best possible model is constructed, a number of country-specific policy actions can be recommended. Conclusions are drawn regarding the following performance indicators: alcohol, speed, protective systems, vehicle, infrastructure and trauma management. For each country that performs relatively poorly, a particular country will be assigned as a useful benchmark. Road safety performance information from other countries can help in this respect.Better insight into the road safety situation can be gained by studying the available data.In this context, a comparison between countries is often made based on crash data. The number of injury crashes and the number of casualties (divided into fatalities, serious injuries and slight injuries) per capita can be used to set up a ranking. In respect to the number of fatalities, Sweden, the United Kingdom and the Netherlands -being referred to as the SUN countries -are seen as an example for other European countries. Furthermore, in addition to the development of a set of useful crash related variables on the one hand and road safety performance indicators on the other hand, it would be interesting to create one road safety index (a combination of relevant road safety aspects into one index) enabling an overall comparison across entities (e.g. countries). The multidimensionality is summarised and the total road safety picture can be presented. The SafetyNet project stresses the importance of daytime running lights as an extra risk domain (in addition to the other six). However, this domain is not considered in this study as, in literature, the importance of this rather small aspect of road safety is less obvious. Additionally, road safety experts consider this as the least important risk domain of all (Hermans et al., 2008a). Some Northern countries constituted a daytime running lights' law a long time ago. Recently, there is no agreement regarding the obligation of daytime running lights on a larger (European) scale as the possible effects are unclear. Moreover, the availability and quality of the data is very poor compared to the other indicators. 2 Road safety outcomes can be decomposed in two main components, i.e. exposure and risk. To fairly compare countries road safety outcomes (e.g. the nu...

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“…To obtain a realistic ranking a multitude of ways to capture value judgements or prior information in DEA is proposed in the literature (e.g. Allen and Thanassoulis, 2004;Allen et al, 1997). Here, the contribution of each indicator pie share (i.e.…”

Section: Data Envelopment Analysismentioning

confidence: 99%

Combining road safety information in a performance index

Hermans

Bossche²,

Wets

2008

Accident Analysis & Prevention

162

104

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a b s t r a c tIn this paper we focus on an essential step in the construction process of a composite road safety performance indicator: the assignment of weights to the individual indicators. In the composite indicator literature, this subject has been discussed for a long time, and no agreement has been reached so far. The aim of this research is to provide insights in the most important weighting methods: factor analysis, analytic hierarchy process, budget allocation, data envelopment analysis and equal weighting. We will give the essential theoretical considerations, apply the methods on road safety data from various countries and discuss their advantages and disadvantages. This will facilitate the selection of a justifiable method. It is shown that the position of a country in the ranking is influenced by the method used. The weighting methods agree more for countries with a relatively bad road safety performance. Of the five techniques, the weights based on data envelopment analysis resulted in the highest correlation with the road safety ranking of 21 European countries based on the number of traffic fatalities per million inhabitants. This method is valuable for the development of a road safety index.

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Improving envelopment in data envelopment analysis

Cited by 109 publications

References 16 publications

Evaluation of Blasting Patterns Using Operational Research Models / Ocena Planów Prac Strzałowych W Oparciu O Metody Badań Operacyjnych

Evaluation of Blasting Patterns Using Operational Research Models / Ocena Planów Prac Strzałowych W Oparciu O Metody Badań Operacyjnych

Benchmarking road safety: Lessons to learn from a data envelopment analysis

Combining road safety information in a performance index

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