Related Performance Indicators Research Articles

P-222 Can embryo morphokinetics act as early warning key performance indicators in relation to consumable batching

Abstract Study question Can morphokinetics be used as an early warning indicator of a batch-related effect of oil currently in use in the laboratory on implantation rate? Summary answer Where morphokinetic timings were slower for a batch of oil, implantation rate was also reduced, suggesting they could be used as an early warning system. What is known already The commercialisation of oil means that there are strict manufacturing guidelines leading to consistency between batches. However, this does not mean that minor differences do not exist. Furthermore, oil can undergo peroxidation if stored incorrectly, causing it to become toxic to embryos. The introduction of timelapse incubation has allowed extensive research into several morphokinetic parameters. This research has established time-frames within which each developmental milestone should occur to indicate the likelihood of implantation. Implantation rate (IR) is often used as a key performance indicator in the laboratory however, potential systemic issues may be identified sooner if morphokinetic parameters were used. Study design, size, duration The following morphokinetic parameters were compared to IR to determine if a batch of oil was affecting embryo development; time of division to two cells (t2), five cells (t5), eight cells (t8), time to start of blastulation (tSB) and cell synchronicity between two and eight cells (CS2-8). Data from January 2019 to October 2019 from a single centre were used, and included data from 2008 embryos and 333 patients. Participants/materials, setting, methods Data was exported from the EmbryoScope + [Vitrolife, Sweden]. Data from RIWitness Laboratory Manager [CooperSurgical, Denmark] was utilised to identify when different batches of oil (Ovoil™, Vitrolife) were used within the specified time period. The data from the EmbryoScope+ was then separated by date to signify when a new batch of oil was open. A Kruskal-Wallis test was then used to identify whether the morphokinetic timings differed between batches of oil. Main results and the role of chance There was no significant difference in patient age (p = 0.178) or the number of oocytes collected (p = 0.097) between batches of oil used. There was no significant difference between the morphokinetic timings for each batch of oil used. However, the morphokinetic timings follow the same trend line as the IR for both t2 and t8; where t2 and t8 are higher, the IR for the corresponding batch of oil is reduced. The trend can also be seen in CS2-8. The batch of oil with the lowest IR (25.56%) also had the highest mean time to t2, t8 and tSB compared to the other batches of oil. This corresponds with previous research that identified a correlation between slower embryo development and reduced IR (Meseguer et al., 2011). A clear difference could be seen between the average time taken to reach each developmental milestone and each batch of oil used, perhaps suggesting oil can have an effect, however small, on embryo development. This study suggests that morphokinetic timings could be used as an early warning indicator that a new batch of oil may be affecting development allowing a rapid response by the laboratory team and possible cessation of use pending further investigation. Limitations, reasons for caution Different batches of culture medium were also used throughout this time period and were not introduced at the same time as oil batches. Therefore, the results of this investigation cannot be associated entirely to the introduction of a different batch of oil. Wider implications of the findings This information could be incorporated into an early warning algorithm that could be assessed after a batch of oil was introduced. The use of the batch could then be ceased immediately without waiting for a decrease in IR by which time it would have been used for many more embryos. Trial registration number Not applicable

On the Performance of MMSE Channel Estimation in Massive MIMO Systems over Spatially Correlated Rician Fading Channels

Massive multiple-input-multiple-output (M-MIMO) offers remarkable advantages in terms of spectral, energy, and hardware efficiency for future wireless systems. However, its performance relies on the accuracy of channel state information (CSI) available at the transceivers. This makes channel estimation pivotal in the context of M-MIMO systems. Prior research has focused on evaluating channel estimation methods under the assumption of spatially uncorrelated fading channel models. In this study, we evaluate the performance of the minimum-mean-square-error (MMSE) estimator in terms of the normalized mean square error (NMSE) in the uplink of M-MIMO systems over spatially correlated Rician fading. The NMSE allows for easy comparison of different M-MIMO configurations, serving as a relative performance indicator. Besides, it is an advantageous metric due to its normalization, scale invariance, and consistent performance indication across diverse scenarios. In the system model, we assume imperfections in channel estimation and that the random angles in the correlation model follow a Gaussian distribution. For this scenario, we derive an accurate closed-form expression for calculating the NMSE, which is validated via Monte-Carlo simulations. Our numerical results reveal that as the Rician K-factor decreases, approaching Rayleigh fading conditions, the NMSE improves. Additionally, spatial correlation and a reduction in the antenna array interelement spacing lead to a reduction in NMSE, further enhancing the overall system performance.

Measuring the effectiveness of budget expenditures

The article discusses the issues of measuring the effectiveness of budget expenditures on the basis of international comparisons using the DEA method . Macroeconomic (Musgrevian) indicators as well as sectoral performance indicators in relation to administrative expenditures, education and healthcare were used. Expenditure indicators were the share of budget expenditures in GDP and indicators of expenditure on education and health care per capita. We assess the integral efficiency of budget expenditures, based simultaneously on macro economic and sectoral indicators, as well as separately the effectiveness of expenditures on health care and education. In the DEA efficiency calculations, models with one performance indicator and one type of input and models with several types of costs and benefits were used. It is noted that when calculating integral efficiency, the highest results were achieved during the two periods under consideration by countries both with high results and with a low level of costs, the same applies to calculations of sectoral efficiency. When calculating comparative efficiency, the most favorable results for Russia are related to the calculations of the effectiveness of budget expenditures for education (secondary one). According to the first model of calculations based on DEA, Russia and three other countries are at the efficiency frontier in a sample of 41 countries. It is also noted that Russia’s results in education are higher than in the countries with a similar level of spending.

Reinvigorating the process of contractor selection in adaptive reuse projects: a novel decision-making and evaluation paradigm

Adaptive reuse projects reconfigure and revitalize existing buildings to enact an alternative purpose, diverging from the original design intent. The study introduces a novel decision-making framework that adopts the Ordinary Priority Approach (OPA) based on the integrated Relative Performance Index (RPI) for selecting and appraising contractors in adaptive reuse projects. Current methodologies lack criteria and assessment approaches tailored to the prototypical challenges of adaptive reuse projects, compelling special knowledge, skills, structural design considerations, sustainable methods, and prudent resource conservation. Accordingly, this research aims to 1) Identify and evaluate primary Contractor Selection Criteria (CSc) and their sub-criteria influencing contractor choice for adaptive reuse; 2) Rank sub-CSc using the Relative Importance Index (RII); 3) Assign weights to sub-CSc via the OPA, and 4) Examine the contractors’ performance using the RPI method. By offering this framework, this paper enhances and empowers decision-making processes to opt for contractors with the requisite expertise and competencies for successful adaptive reuse projects, filling a crucial knowledge gap. Six contractors were selected to assess the feasibility and validate the proposed framework. Among the chosen contractors, numbers 2, 4, and 5 exhibited significant performance concerning the top-ranked sub-CSc, registering RPI values of 1, 0.88, and 0.86, respectively.

The Teacher Competency and Beliefs on How to Improve Language Skills of Students

<p style="text-align: justify;">This study deals with the English language teachers’ perceived beliefs on how to improve English language students’ learning skills. English language teachers’ level of competencies on how to improve language skills of their students is the main focus of this study. Therefore, the domain, “Improving Language Skills,” defined by the Ministry of National Education (MoNE) in Türkiye in the field of “Subject Specific Competencies for Teaching Profession” has been used. This specific domain includes seven competency performances and 63 related performance indicators at three levels: A1, A2, and A3. This study, first, aims to develop a new “English Language Teacher Competency Scale” under the light of MoNE descriptors; second, it aims to observe the English teachers’ competency levels following the suggested performance indicators. The participants of the study were 100 English language teachers, teaching at public and private primary schools in Türkiye. Accordingly, the teachers responded to the mentioned scale, including other variables; such as gender, professional experience, educational background, and the type of schools they worked in. The findings indicated that there was no significant difference between the teachers’ competency beliefs about their professional experience, gender, and educational background; however, there was a significant difference in terms of the type of schools the teachers worked in. Also, this study revealed feasibility of developing the “English Language Teacher Competency Scale,”, and made the scale available to use for evaluating English Language Teaching teachers’ competency levels on how to “Improve Language Skills” in class.</p>

Effects of asphalt binder type, aggregate type, and gradation characteristics on fracture properties and performance of asphalt mixtures at intermediate temperatures

This study aimed to design and evaluate asphalt mixtures by considering various factors including different binders, aggregate types, and gradation characteristics of the fine portion of mixtures, referred to as the interstitial component (IC). The mixtures were compacted to 93% of maximum theoretical density to prepare specimens for Superpave IDT tests, which included resilient modulus, creep compliance, and fracture tests. Parameters such as failure limit (fracture energy), damage rate (dissipated creep strain energy per cycle), and the relative cracking performance indicator (number of cycles to failure) were assessed for test specimens subjected to the long-term oven aging and the cyclic pore pressure conditioning. The results showed that mixtures with styrene–butadiene–styrene modified binders exhibited slightly higher failure limits but significantly lower damage rates compared to mixtures with unmodified binders, indicating improved cracking performance. Similarly, the limestone mixtures demonstrated equivalent failure limit but much lower damage rate to the granite mixtures, attributed to the porous surface morphology and inherent weakness of limestone aggregates. Notably, even small changes in the IC characteristics of the mixtures yielded substantial differences in fracture properties and performance, a phenomenon believed to be linked to the distribution of asphalt binder and the structure of air voids within the mixture. In conclusion, a thorough examination confirmed the impact of polymer modification and aggregate type on fracture properties and, notably, highlighted the pivotal role of the fine portion's characteristics in determining mixture cracking performance.

Genetic analysis of tolerance to transient waterlogging stress in pigeonpea (Cajanus cajan L. Millspaugh)

Pigeonpea (Cajanus cajan L. Millspaugh) is mainly grown in the rainfed ecosystem during the monsoon season on deep vertisols, and it often faces transient waterlogging problems due to continuous and heavy downpours during early monsoon seasons. Thus, waterlogging has become a significant issue in most of the pigeonpea growing areas of the semi-arid tropics due to heavy rain during the initial crop growth stage, which causes 30 to 40% economic yield loss in India and around the world. Only a few sources of waterlogging tolerant genotypes are available in pigeonpea but are not in the required duration. Hence, the present investigation was carried out to identify waterlogging tolerant pigeonpea genotypes in different durations suitable for different agroecologies of India and to find ideal selection indices as appropriate strategies to identify waterlogging tolerant genotypes. In this study, 162 genotypes were screened under in vitro conditions for 2, 4, 6, and 8 days by submerging seeds. Of these, 33 genotypes could survive for eight days. Further, following a standard screening protocol; these 33 pigeonpea genotypes were screened under pot culture for two years (2020 and 2021). Based on different morpho-physiological parameters and waterlogging tolerant coefficient, genotypes ICP-10397, ICP-7507, ICP-7869, ICP-7148, ICP-4903 ICP-16309, ICP-7375, ICP-6815, ICP-7507, and ICP-6128 were identified as tolerant to transient waterlogging. In addition, this study reports the existence of substantial genetic variation for waterlogging tolerant traits in pigeonpea. Stress indices, such as stress tolerance index) (STI), mean relative performance (MRP) and relative efficiency index (REI) were identified as the ideal selection index. Therefore, identified genotypes are further validated and can be deployed in waterlogging tolerance pigeonpea breeding programs

Classifying Winning Performances in International Women's Rugby Union.

The efficacy of isolated and relative performance indicators (PIs) has been compared in rugby union; the latter more effective at discerning match outcomes. However, this methodology has not been applied in women's rugby. The aim of this study was to identify PIs that maximize prediction accuracy of match outcome, from isolated and relative data sets, in women's rugby union. Twenty-six PIs were selected from 110 women's international rugby matches between 2017 and 2022 to form an isolated data set, with relative data sets determined by subtracting corresponding opposition PIs. Random forest classification was completed on both data sets, and feature selection and importance were used to simplify models and interpret key PIs. Models were used in prediction on the 2021 World Cup to evaluate performance on unseen data. The isolated full model correctly classified 75% of outcomes (CI, 65%-82%), whereas the relative full model correctly classified 78% (CI, 69%-86%). Reduced respective models correctly classified 74% (CI, 65%-82%) and 76% (CI, 67%-84%). Reduced models correctly predicted 100% and 96% of outcomes for isolated and relative test data sets, respectively. No significant difference in accuracy was found between data sets. In the relative reduced model, meters made, clean breaks, missed tackles, lineouts lost, carries, and kicks from hand were significant. Increased relative meters made, clean breaks, carries, and kicks from hand and decreased relative missed tackles and lineouts lost were associated with success. This information can be utilized to inform physical and tactical preparation and direct physiological studies in women's rugby.

PERFORMANCE EVALUATION OF MUTUAL FUND

the aim of conducting this research is to measure the performance of mutual fund through portfolio (risk/return) Sharpe’s model and Treynor’s model. The data used is daily high of NAVs of top performing mutual funds and Study period is January 2021-december 2022. we started with the sample of growth scheme for computing relative performance index. The research studies the concept of mutual fund and average risk and return of selected companies of mutual funds which is helpful to take better decisions for investment, whether to invest in which fund according to the rankings given by using Sharpe’s and Treynor’s model. Keywords: Risk, returns, mutual funds, ranking.

Indicators for evaluating the resistance of tomato genotypes to low light

ABSTRACT Low light is one of the most important factors limiting tomato (Solanum lycopersicum L.) production. In this experiment, tomato genotypes under low light (winter planting), and adequate light (summer planting) were evaluated in the same greenhouse condition for other environmental conditions where 11 tolerance and susceptibility indices were evaluated in terms of fruit weight per plant produced. Using the rank of each genotype for the calculated indices, the mean rank index was calculated. The highest yield under adequate light was in genotypes “9318,” “9314,” “2216,” “324,” and “5239.” Under low light, genotypes “321,” “9318,” “9314,” “523,” and “324” had the highest fruit yield per plant, respectively. Evaluation of tolerance and sensitivity indices indicated that tolerance indices, geometric mean productivity index, mean relative performance index and relative efficiency index had a positive, significant, correlation with fruit weight per plant in low light and adequate light are the best indicators for selecting genotypes tolerant to low light. Based on these indices, genotypes “9318,” “9314,” “321,” “324,” and “523” had the highest ranks and more tolerance to low light, and might be successfully cultivated in low light areas.

Development of Smart Films of a Chitosan Base and Robusta Coffee Peel Extract for Monitoring the Fermentation Process of Pickles.

Smart film is widely used in the field of food packaging. The smart film was prepared by adding anthocyanin-rich Robusta coffee peel (RCP) extract into a chitosan (CS)-glycerol (GL) matrix by a solution-casting method. By changing the content of RCP (0, 10%, 15% and 20%) in the CS-GL film, the related performance indicators of CS-GL-RCP films were studied. The results showed that the CS-GL-RCP films had excellent mechanical properties, and CS-GL-RCP15 film maintained the tensile strength (TS) of 16.69 MPa and an elongation-at-break (EAB) of 18.68% with RCP extract. CS-GL-RCP films had the best UV-vis light barrier property at 200-350 nm and the UV transmittance was close to 0. The microstructure observation results showed that CS-GL-RCP films had a dense and uniform cross section, which proved that the RCP extract had good compatibility with the polymer. In addition, the CS-GL-RCP15 film was pH-sensitive and could exhibit different color changes with different pH solutions. So, the CS-GL-RCP15 film was used to detect the fermentation process of pickles at 20 ± 1 °C for 15 days. The pickles were stored in a round pickle container after the boiling water had cooled. The color of the CS-GL-RCP15 film changed significantly, which was consistent with the change of pickles from fresh to mature. The color of the smart film changed significantly with the maturity of pickles, and the difference of ΔE of film increased to 8.89 (15 Days), which can be seen by the naked eye. Therefore, CS-GL-RCP films prepared in this study provided a new strategy for the development of smart packaging materials.

Solving a Cubic Cell Formation Problem with Quality Index Using a Hybrid Meta-Heuristic Approach

Although most previous studies on cell formation have involved the assignment of parts and machines to cells, in recent years the assignment of workers has also been considered and the studies have taken into account the human factor. An important step for the successful implementation of a Cellular Manufacturing System is to decide appropriate groups of parts, machines, and workers and then assign them to cells. Consideration of the skills of workers and machines in processing parts has enhanced cell performance. In this study, the problem of a cubic cell formation that takes into account the three-dimensional part-machine-worker matrix is addressed, and the minimization of the exceptional element and void as well as the maximization of the part quality index is aimed. The mathematical model used in this study was coded in the GAMS 24.2.1 software. A hybrid GA-SA approach was also proposed for the solution of large instances. The relative Percentage Deviation performance index was utilized to evaluate the performance of the algorithm. According to the results, the hybrid technique developed, considering technical cell performance criteria together with worker skills, shows promising results from the standpoint of the considered objective and the computational time.

A Study of Superpave Design Gyrations for High Traffic Surface Mixtures

The methodology of the research that was used to evaluate the comparative results of surface mixes with a nominal maximum aggregate size of 12.5mm is presented in this paper. Also presented are the recommended Ndes values for C-level and D-level mixes, which are designed to handle traffic levels of 3-30 Million and greater than 30 Million ESALs, respectively. In order to determine the amount of asphalt that was present, asphalt concrete mixes were fabricated utilizing the Superpave design process at Ndes levels of 50, 75, 100, and 125 gyrations. Using the Asphalt Mixture Performance Tester instrument, we were able to determine the dynamic modulus (E*) at the design asphalt content for a number of different gyration levels. The E* data and related binder properties were used as input in the AASHTO Darwin-ME software to anticipate the rutting and fatigue performance of the mixtures. This was accomplished by assuming a model pavement section and appropriate traffic levels. In order to determine which Ndes are most appropriate, relative performance indicators for rutting and fatigue have been developed and plotted against asphalt content. The Ndes value of 85 gyrations was found to be ideal for both surface mixes after extensive research.

A New Information Management Model for Measuring the Institutional Performance

The purpose of this paper is to develop a Knowledge Management (KM) model in order to investigate and monitor the performance of HEIs in Oman. In this paper, a KM model of five KM components based on the relative performance factor and a critical set of 22 indicators from an original set of 180 indicators are proposed and outlined; in terms of the use of the KM categories and selected indicators, the performance of 30 Higher Education Institutions was measured and studied. In this paper, the literature and related approaches were studied. A KM model which is based on the five main components of KM, relative performance factor, indicators, weights, and data collection was proposed. Three types of data were collected from institutions to calculate the indicators/the relative performance factor, and several tests were carried out. In addition, the conceptualisation and operationalisation processes of the model are discussed. The proposed KM model was implemented in all the private institutions and the obtained results show the applicability and accuracy of the technique, and the proposed technique was compared with the classical approach. The results of the proposed approach have been tested and analysed comprehensively: these results of the statistical tests of the aforementioned proposed approach show a high level of accuracy of the results, and that the results of institutions differ significantly one from another, and also that the differences between institutions are not due to any random factor. The discussion of the numerical results shows that the performance of HEIs was placed in three categories. The findings of the paper highlight the performance of HEIs and they give significant evidence to individual HEIs and to the stakeholders so as to allow them to act on the findings and distinguish between them in terms of the actual performance.

Development and application of a composite circularity index

Resource depletion and environmental pollution are increasingly a matter of concern for their adverse effects on ecosystems, human health, and the economy. Circular Economy (CE) practices can help us address these challenges. This paper proposes a composite circularity index (CI) to assess the level of implementation of CE practices. The main advantage of the proposed index is its ability to combine multiple indicators of circularity for different units operating in a given sector (given as inputs), using a ‘Benefit of the Doubt’ model. This new model is innovative in the manner it deals with ordinal scales and also by considering both relative and absolute performance indices. These indices are computed using mathematical programming tools, building on ideas from Data Envelopment Analysis models.Although the model can be applied to any sector, this work addresses the hotel industry in particular. The selection of indicators for this CI was based on seven blocks of the Circular Economy Action Plan and a literature review of circular practices. An application of the proposed index is performed by using data from Portuguese and Spanish hotels. The proposed CI allows the identification of the organizations with the best and worst performance in implementing the CE practices and clarifying the benchmarks they could follow to improve their level of circularity. Moreover, the index analysis also provides specific targets for improvement, indicating which circular practices should be improved for the lower performers to reach the implementation levels of the best performers.

Using a Discrete-Event Simulation Model for Evaluating the Operational Performance of Toll Plazas

Toll plazas are commonly described as a potential bottleneck due to the collection process at specific points on the highway. In a highway concession model, tolls are used to cover the majority of infrastructure costs. However, not all existing road concessions have toll plaza–related key performance indicators (KPIs), resulting in less efficient operations for transport managers and road users. To address this issue, this paper presents a discrete-event simulation (DES) model for policy analysis and the model for the planning, management, and evaluation of toll plazas using an extensible simulation package with animation capabilities, built by selecting modules that contain process features. The DES describes situations in which entities (vehicles) arrive, wait in the queue (if necessary), and then are attended to before leaving the system, either directly or indirectly. As a result, the simulation is based on discrete events (arrivals and departures) and statistical process data. This paper examines data from Brazil’s first public–private partnership (PPP) project in the area of road infrastructure and analyzes the toll plaza in Itaúna/MG using a case study methodology. The DES model was used in this case study, and the results show that the toll plaza was in good operating condition during the peak hour analyzed because the vehicular flow was lower than the system capacity. The willingness to pay the toll rate through the concept of open road tolling or a free-flow system, on the other hand, would provide significant benefits to road users because it would significantly reduce the time it takes to cross the toll plaza. The developed DES model assists toll plaza managers in making decisions while keeping in mind the need to comply with the operational efficiency measures agreed upon in the concession contracts.

Evaluating and Measuring Exactly the Distances between Aggregate Health Performances: A Global Health Data and Welfare Regime Analysis

This paper presents the results of a global data analysis that for the first time ever looks at the exact performance distances when combining groups of quantitative health and health care indicators that stand for performance differences between the health care system performances of different countries in every corner of the world. Thus, by using Aspalter’s new Standardized Relative Performance Index, we can now not just rank all health care systems and health policy outcomes (as before) but can also, which is entirely new, measure them exactly and compare them exactly with one to another and/or different groups of indicators (dimensions) thereof. The World Health Organization, the Organization of Economic Corporation and Development, and the World Bank have yet to use such an indicator (Aspalter’s Index) that is able to add up and directly compare different variables, groups of variables among each other, and, of course, for example, different groups of countries among each other, while adding to the quality and quantity of overall information and knowledge gathered on the research subject(s) in the case of quantitative data analysis. For a more in-depth analytical purpose, the “Ten Worlds of Welfare Regime Theory” (or “ten worlds theory” in short) has been used to arrive at further conclusions and extra valuable information and knowledge on top of the rich comparative data analysis conducted in this study.

Гигиеническая оценка умственной работоспособности студентов медицинского вуза в зависимости от времени занятий и питьевого режима

Today, the issue of preservation, maintenance and development of mental performance is of great importance due to social transformation and the school and higher education system upgrade. The growing body of information, continuous modernization of the training programmes, the use of various technical training aids that result in intensification of cognitive activity have a negative impact on the students' mental state. The study was aimed to assess the medical students' mental performance indicators in relation to the time of the day and the daily fluid intake. A total of 300 students were enrolled, who had both morning and afternoon (after lunch) classes. Mental performance of medical students was assessed using the Anfimov's table. It was found that the students' mental performance depended not only on the start time, but also on the water consumption regime. The main trends of water consumption in young adults were defined: moderate water consumption (1–2 L per day) prevailed, low water consumption (less than 1 L per day) was ranked second, and high water consumption (more than 2 L per day) was the rearest.

PERAN KOMITE MADRASAH DALAM PEMBIAYAAN PENDIDIKAN DI MADRASAH IBTIDAIYAH NEGERI 1 MAGELANG PERIODE TAHUN 2018-2021

The purpose of this study was to find out why the role of the Madrasah Committee in financing education at MIN 1 Magelang was still not optimal and to analyze efforts to increase the. In qualitative research, data analysis includes three main steps, namely: (1) data reduction, (2) data presentation, (3) drawing conclusions or levers. As a result, the role of the school committee in financing has implemented several related development performance indicators as a consideration body (advisory agency), supporting, controlling and relationship (mediator) institutions in the form of cooperation in the procurement of funds and in school procurement. However, the role of the school committee in financing is still not optimal because the integrity of the management and school committee members at MIN 1 Magelang is still not optimal, schools cannot collect fees, MIN 1 Magelang is a public school so it is difficult to fund other than the three sources BOS Reg, BOSDA, District BOSS. Efforts to increase the role of school committees in financing at MIN 1 Magelang are trying to help find sources of funds for the School Budget and Expenditure Draft (RAPBS) and also students who cannot afford.

DETERMINING THE PERFORMANCE OF EXPLOSIVES FOR BLASTING MANAGEMENT

Experimental methods for determining a performance index of explosives are analysed: the methods of a ballistic pendulum, ballistic mortar, a lead block, and according to the volume of soil explosion funnel. It is defined that the determination of a performance index of emulsion explosives (EE) involves a set of significant features connected with a large critical diameter requiring the experiments with large-mass charges and resulting in refusal from the traditional methods of determining a performance index. Analytical methods for calculating an index of relative performance of explosives are analysed. Determination of the performance indices of explosives with the help of analytical methods helps identify considerable differences in the calculation results; in case of emulsion explosives the results are erroneously low at all. It is since analytical methods do not consider the brisant action of emulsion explosives. This paper represents the developed methodology of determining a performance index of explosives according to the degree of detonation velocity. The proposed methodology considers the key energy and detonation characteristics of explosives: heat and volume of the explosion products, density (thickness), and detonation velocity. The use of analytical methodology for calculating a performance index for all explosive types makes it possible to get correct results that are necessary for designing the parameters of drilling and blasting operations.