Analysis Of Production Efficiency Research Articles

Production Efficiency Analysis of Integrated Aquaculture Systems in Egypt

Production Efficiency Analysis of Integrated Aquaculture Systems in Egypt

Analysis of Maize Production Efficiency in Maize Production in Ethiopia Evidence from Low Land of Gudeya Bila: Stochastic Frontier Approach

Analysis of Maize Production Efficiency in Maize Production in Ethiopia Evidence from Low Land of Gudeya Bila: Stochastic Frontier Approach

Heterogeneity in frontier analysis: does it matter for benchmarking farms?

Benchmarking farms, in order to advise farmers to cure inefficiency, may be biased if heterogeneity is not accounted for. Technological variability in agriculture indeed happens, but productive efficiency analysis with frontier methods usually assumes homogeneity. Heterogeneity influences investment motives and production strategies, but is not always clear-cut, for example, when gradation in external inputs use occurs. Unfortunately, these indistinct (no clear-cut) differences in technologies are very common within farming communities, but have often been ignored by the advisors focusing on the discrete ones such as organic versus conventional farming. This paper explores indistinct heterogeneity in efficiency analysis, aiming at identifying peers/reference farms while reflecting on their significance for benchmarking. The gradual differentiation between low and high input dairy farms in Flanders is used as a case, based on a five-year balanced panel data for 58 farms. A data envelopment analysis (DEA) version of the meta-frontier approach is used to account for heterogeneity. The research revealed that, although stemming from a continuous distribution, low and high input farming can be considered as different strategies but none can be said to be superior to the other. Coupling the efficiency scores with peer information allows distinguishing good and bad performing efficient farms within each strategy, and thus improves benchmarking using frontier analysis.

Efficiency by sectors in areas considering CO2 emissions: The case of Japan

Economic growth is an emerging issue in Japan because of the declining birthrate, aging population, and declining population of many local Japanese cities. Furthermore, the challenge of lowering the emission of greenhouse gases has become more prominent in the world, and the 2015 Paris Agreement sets reduction targets for each country. Based on these circumstances, city planning that aims for both efficient production activities and low carbon emissions must be conducted to work toward a sustainable society in Japan. In this study, we applied network data envelope analysis (NDEA) to clarify the production efficiency in 47 prefectures of Japan. The sectors are organized into primary, secondary, and tertiary industries, and the transportation industry, which are calculated in decision-making unit (DMU). Considering this classification, each sector is independently evaluated to determine which contributes the most to CO2 emissions, resulting in a detailed production efficiency analysis by transportation capital. The analysis results demonstrate the differences in the measures that should be taken by the prefectures that are deemed less efficient. In addition, comparing the estimation results of the conventional data envelopment analysis (DEA) and NDEA, we reveal the effect of each sector on the fluctuation of DMU’s efficiency value and clarify the reference set for each sector that could not be judged through conventional DEA analysis.

Analysis of production efficiency and income to support sustainability of cassava farming in Lampung Tengah District, Lampung Province

This study aims to analyze the efficiency of production, income, and sustainability of cassava farmers revenue in Lampung Tengah Regency, Lampung Province. Lampung Tengah Regency was chosen as the research location with the consideration that the district is a center for cassava production in Lampung Province. The number of respondents was 60 respondents who were taken using simple random sampling. Data collection was carried out in July 2020. The data used in this study are primary and secondary data. Data analysis used the production function stochastic frontier with the Frontier 4.1 program, income analysis, and R/C ratio to know sustainability of cassava farming. The result showed that cassava farming in Lampung Tengah Regency on average, is not efficient both technically and economically but was profitable with R/C > 1 it means the cassava farming in Lampung Tengah district still sustain to cultivate.

BACTERIAL CELLULOSE AS A BASE MATERIAL IN BIODIGITAL ARCHITECTURE (BETWEEN BIO-MATERIAL DEVELOPMENT AND STRUCTURAL CUSTOMIZATION).

1. ABSTRACT Recently, developing sustainable architectural materials from renewable resources is gaining great interest. This interest is intended to alleviate the drawbacks of petroleum-based materials and their contribution in the escalation of CO2 emissions causing the current environmental deterioration. Achieving sustainability through developing efficient architectural materials have been always conditioned by technological advancements and economic potential. This has affected the architectural design and construction sectors, especially in times of disasters or economic crisis, resulting in paralysis in the architectural construction and material development. These effects were caused by the capitalization and centralization of architectural construction industries. The recent trend of self-sufficiency that had first emerged in environmental activities supporting recycling, environmental purification and conservation, oxygen, food, and electricity production, has extended to cover more sophisticated products, such as wearables, gadgets and architecture. Achieving self-sufficiency in architecture is of interest to multidisciplinary researchers who focus on developing both self-sufficient systems and materials as the two main components of the built environment. Developing architectural materials aims to provide cheap, recycled, renewable, environmentally friendly, durable and sustainable building material regardless of the possibility of the autonomous production of these materials on a popular democratic basis. Architectural building materials production was always and still is considered a massive industry that is centralized in major firms and LTDs, limiting the architectural construction process to the availability of major economic capacity. This centralization had its merits in forcing forward large-scale economies and vitalizing the architectural design and construction market, but only on the large scale; however, this centralization shows its drawbacks every time in disasters or economic crisis, causing almost total paralysis in the construction industry due to economic impotence caused by different reasons. Moreover, the centralization of the building and construction industry have affected developing communities, causing economic drawbacks and creating a ripple-like crisis in housing. In this paper, the authors propose the self-sufficiency approach in the development and production of sustainable architectural material from abundant and renewable microbial agents, in order to democratize and popularize material production on a domestic and personalized basis. The current work presents Bacterial Cellulose (BC) as a structural and membrane material in different architectural elements and applications, developed through simple and domestically applied procedures in order to create distributed and self-sufficient productive units for architectural materials production. The current study aims specifically at the easiness and simplification of the production practices and procedures of the biopolymers, and specifically bacterial cellulose for encouraging and establishing the popularization of self-sufficient production units of these renewable and abundant biopolymers. In this regard, the current study is part of the ongoing research on enhancing the mechanical properties of bacterial cellulose in order to use it for structural applications, that will be further developed in terms of medium optimization, bacterial cellulose production efficiency analysis, and material mechanical and physical properties testing. The following sections will contain a literature review on the chemical base and physical/mechanical properties of biopolymers including bacterial cellulose, followed by the experimental work conducted in this paper to develop bacterial cellulose as an architectural material. The results were further analyzed through formal and structural customization proposing possible applications in architectural design.

Production Factor Efficiency of Shallot Farming in Pati, Central Java, Indonesia

This study aims to analyze factors influencing shallot production and the allocative efficiency of shallot farming in Pati Regency Central Java. Based on data from the association of farmer groups (Gapoktan), there were 12 farmer groups. Using multistage random sampling, four farmer groups and 73 farmers were taken as samples. Data were obtained using interviews and questionnaires. Then, the data were analyzed using the Cobb-Douglass production function and efficiency analysis. The results revealed that factors of land area, seeds, KNO3 fertilizer, and family labor significantly possitive affected shallot production. In general, all of the production factors have not been allocatively efficient. To enhance efficiency, farmers should increase the use of production inputs such as land, seeds, fertilizers, and labor.

Разработка систем управления с искусственным интеллектом для хлебокомбинатов

The article discusses the methods, stages and some results of designing a complex information and analytical system for planning, accounting, control, monitoring and analysis of production efficiency for a bakery: from accepting orders to dispatch products. Based on the study of current trends, solutions using artificial intelligence methods for bakeries are proposed. End to end automated processes are described and proposed, including the receipt and processing of bread products orders; a model for optimizing the loading of lines; video monitoring and control of personnel work based on the configuration production and use of a modern neural network, as well as analysis of the activities of bakery workers using innovative technology data Mart.

Production Efficiency Analysis of Indigenous Pig Production in Northwest Vietnam

This research was conducted to investigate the production efficiency of Ban pig production in northwest Vietnam between October 2016 and January 2017. Primary data obtained from 171 producers were analyzed by applying cost-benefit analysis and stochastic frontier production function. The benefit-cost ratio per litter was 1.24, indicating that the enterprise was profitable. Compared to other farms, the farms focused on farrow-to-finisher attained the highest net return (EUR 213.71/litter), while inputs were used most effectively by the mixed farms. The results from the Cobb-Douglas production function revealed that labour, feeding costs, stocking density, and pigpen structure had positive effects on the production output. Additionally, farms with the phase of farrow-to-nursery obtained less total revenue, while farms focused on the farrow-to-finisher phase achieved higher production outputs than the mixed farms. The level of technical efficiency for each farm ranged between 0.62 and 0.98, with a mean of 0.88. The number of live-born piglets and depreciation cost had positive effects, whereas the nursery interval had a negative impact on the technical efficiency. Ban pig producers could increase technical efficiency by efficiently utilizing available resources and improving managerial skills.

Productive efficiency analysis of quantitative economics journals through Stochastic Frontier Analysis using panel data

The main goal of a scientific journal is to diffuse new knowledge. The number of citations received by a journal can be considered as a measure of this objective and, in turn, as a measure of productivity in relation to the production process in which the journals are involved. In order to assess this production process, in this paper econometric models using data panel are employed to obtain measures of efficiency for those journals belonging simultaneously to the areas of “economics” and “social science, mathematical methods” in the Web of Science database. This efficiency is measured in terms of the distance between the actual production of the journals and their estimated maximum achievable number of citations based on their available resources.

Analysis of technical efficiency in maize production in Guji Zone: stochastic frontier model

BackgroundThe Guji Zone in particular and Oromia region in general have a huge potential for crop production that can even contribute for the country as a whole in the struggle for achieving food security. Maize is Ethiopia’s largest cereal crop in terms of total production, acreage, and the number of farm holdings. It is one of the staple crops produced in the study area. However, the farm productivity per hectare is low compared to the national average which indicates the presence of farming inefficiency in the study area. Thus, this study was undertaken with the objective of estimating the level of farmers’ technical efficiency in maize production and identifying the factors which determine the variation in the level of technical efficiency among the farmers.ResultsThis study was relied on the primary data collected from a sample of maize producing farm household of Adola Rede and Anna Sorra districts of the Guji Zone using a survey questionnaire. A simple random sampling technique was found appropriate for selecting the respondents, since the populations of these study area are homogeneous. The analysis was relied on a cross-sectional data collected from 234 sample farm households. A one-step stochastic frontier normal/truncated-normal model was used to estimate the farmers’ technical efficiency as well as to identify the determinants of yield per hectare of maize which was estimated by maximum-likelihood method. The empirical result indicates that there are large numbers of inefficient farmers in both districts. The estimated technical efficiency for maize producing farmers is equal to 69.03%. Besides, the current study revealed that 69.23% of maize producing farmers have been operating within a technical efficiency score interval equal to (0.5–0.75) in both districts. In addition, the maize yield per hectare in the study area is very low compared to the national average, i.e., the mean yield is 19.2 quintal per hectare. Moreover, the maximum-likelihood results show that gender of the head of the household, age of the head of the household, farm income, row planting, access to credit, number of active labor force, land size owned, access to improved seed and seed type used, and number of livestock were significantly determine the farmers technical inefficiency.ConclusionThe results of the study revealed that there is an opportunity which is being squandered in maize production in the study area. For instance, with a given technology, it is possible to raise the maize yield per hectare by 30.07% in the study area. Thus, the government and any concerned stakeholders should facilitate access to improved seed and fertilizer, credit, farm technology, and short-term training. Besides, all stakeholders should work in a cooperative and organized manner to implement the full agricultural package on farm level.

Energy sources analysis and optimization of energy efficiency and greenhouse gases in production of farm crops

ABSTRACT The present current study aimed at analyzing the input–output energies and optimizing energy efficiency and greenhouse gases (GHG) in crops production at the northeast of Iran. The results of this research showed that the total energy inputs were equal to 42.4, 28.6, and 72.8 GJha−1 for, wheat, barley, and sugar beet, respectively. It was also shown that the highest energy efficiency, the lowest GHG emissions, and GHG intensity all belonged to barley production. The highest percentage of GHG intensity pertained to sugar beet production (41%), which was followed by wheat (38%) and barley (21%). It was also revealed that GHG intensity is a better criterion for the study of GHG since it also makes use of the energy output information in crops. The optimal model responses for the crop type and proper cultivation planning was 284432 hectares in terms of barley production, while those responses for wheat and sugar beet were zero and, thereby, they were eliminated from the model of Multiple Goal Programming (MGP). In the same way, this model could increase energy efficiency to 444875, while GHG emissions and its intensity decreased by 213259 tonCO2eq and 1.3 tonCO2eq MJoutput−1 per year, respectively.

Assessment and improvement analysis of economic production, water pollution, and sewage treatment efficiency in China

With its rapid economic development in the last 40 years, China's environmental pollution has begun to seriously affect its citizens' lives as well as domestic business expansion. The problems of water pollution, increasing population, acceleration of urbanization, and strong GDP growth have made this critical issue increasingly more prominent. Recent related literature has mostly focused on economic production development and water pollution separately without systematically considering the relevant links between the former and sewage treatment capacity. Therefore, based on data of 30 provinces in China from 2011 to 2017, this paper uses a modified undesirable dynamic network Slacks-Based Measure (SBM) model to look into each province's economic production stage efficiency and sewage treatment stage efficiency. The research findings show big differences in input and output efficiencies for each region from 2011 to 2017 and a distinct mismatch between economic production stage efficiency and sewage treatment stage efficiency, with the former higher and the latter lower. Lastly, sewage treatment stage efficiency is a major drag on overall efficiency. Each province should thus follow the key indicators to improve efficiency according to local conditions.

Assessment of agricultural production placement
 in the Belgorod region

The agro-industrial complex of the Belgorod region is the basis for the development of the region. The location of crop production depends on soil and climatic conditions. The article assesses the location of crop production in the Belgorod region in three natural and climatic zones. Recommendations for prospective placement based on the analysis of production efficiency have been developed.

Analysis of economic efficiency in charcoal production in Northwest Ethiopia: A Cobb-Douglas production frontier approach

Charcoal is the primary fuel source to urban and rural households of Ethiopia. However, its production is not efficient in most developing countries including Ethiopia. Therefore, this study was designed to determine the factors that influence the economic efficiency of charcoal production in Northwest Ethiopia using cross-sectional data collected from 372 households. Cobb-Douglas production frontier and Tobit models were used to determine the determinants of economic efficiency. The results revealed that area of planted land, plant seedling, and labor are the variables that influence charcoal productivity. The estimated technical efficiency, allocative efficiency, and economic efficiency scores were 85%, 94% and 80%, respectively. The sex and the age of the household head, the size of the household, the duration that the household was producing charcoal, charcoal production as a major livelihood base, producing charcoal for marketing purpose as a major motive, and Acacia decurrence as the major type of tree for producing charcoal were the influential variables of economic efficiency in charcoal production. Since the cropping cycle practiced in Northwest Ethiopia can benefit the environment, and since charcoal production generates income to a very large number of households, the government can use the findings of this study to expand its intervention in the charcoal sector and promote charcoal production and productivity in an environmentally sustainable way.

Design of Big Data Platform for Automatic Production Line of Handicraft Structure

The automation production line of handicraft structural parts are taken as the research object in this paper, and big data platform is constructed through data modeling, data collection, data analysis and data visualization technologies, including data perception layer, communication layer, storage layer and analysis and display layer. The data acquisition layer obtains the multi-source heterogeneous information source at the bottom of the handicraft processing workshop, transmits it to the big data platform based on the OPC UA protocol for the data analysis of equipment status, production efficiency, product quality and other data, and displays the results through the visualization technology in real time to realize the real-time dynamic control of the handicraft processing process.

Analysis of technical efficiency in milk production: a cross-sectional study on Turkish dairy farming

ABSTRACT We analyzed the efficiency of farmers in the dairy production using cross-sectional data collected from 92 sample dairy farmers in the West Mediterranean Region of Turkey. The study used the Stochastic Frontier Analysis (SFA) to measure the technical efficiency of farmers in milk production. The technical efficiency of the sample of dairy farms ranged from 0.30 to 1.00. The mean efficiency of the sample of farmers was 0.55, indicating the presence of substantial scope for improving the competitiveness of dairy sector in the region by improving the efficiency of farmers. While some of these variations could be attributable to random factors, we calculated that 97.3% of the variations was attributable to the inefficient use of inputs, leaving only 2.7% to random factors. This shows the possibility of increasing average output by about 0.45 without the use of additional inputs. The most significant factors affecting the efficiency of dairy production were household size, total number of cattle, and ratio of the total number of dairy cows to total number of cattle, technological level, barn type, and production of maize silage. This study, by measuring the levels of efficiency and by identifying factors explaining the differences in efficiency, gives useful information for designing policy interventions targeting to improve the competitiveness of the Turkish dairy sector.

Effectiveness analysis of resources consumption, environmental impact and production efficiency in traditional manufacturing using new technologies: Case from sand casting

The emergence of new technologies has accelerated the process of sustainable development, gradually moving traditional manufacturing away from labor-intensive low-end towards high value-added and high-quality production. In order to study the application effectiveness of new technologies, the production of single or small batch castings in the traditional foundry industry is taken as the analysis object by using traditional manufacturing method, additive manufacturing (ink-jet bonding 3D printing) and subtractive manufacturing (sand mold milling), from the aspects of resources consumption, environmental impact and production efficiency. Among them, the resources consumption takes material, energy, and human resources into comprehensive consideration, while the environmental impact takes carbon emission as the main evaluation index, and the production efficiency is determined according to the actual casting output of the enterprise, this evaluation method is applicable to most of the traditional manufacturing industries. The results indicate that in the production of this kind of castings, additive and subtractive manufacturing have better resource utilization and significantly reduced the carbon emission of sand casting process by about 20.78% and 4.82%, respectively. Besides, the production efficiency of additive and subtractive manufacturing are 92.66% and 91.39% respectively, which has superiority not only in production capacity but also in economic benefits. According to the research conclusion, reference of what or whether new technologies can be used in traditional manufacturing to realize sustainability is provided, which has certain practical significance.

Analysis of production and organisational management efficiency of Chinese family intelligent manufacturing enterprises based on IoT and machine learning technology

ABSTRACT This paper analyses how to improve the production efficiency and organisational management level of Chinese family intelligent manufacturing enterprises under the environment of big data and information integration, and ultimately enhance the economic benefits of enterprises. By reforming the organisational structure of intelligent manufacturing enterprises, in the environment of intelligent manufacturing, product life cycle information can be real-time detected and shared through sensor networks. In addition, in the enterprise intelligent manufacturing evaluation system, the system is optimised based on the neural network model in machine learning.

Analysis of production and input efficiency of tiger shrimp pond in Aceh Jaya district, Indonesia

Shrimp pond is one of the main livelihoods of coastal communities in Aceh Jaya. However, its productivity is classified as very low. This study aims to (1) analyze the factors that influence shrimp pond production in Aceh Jaya, (2) analyze the allocative efficiency of input use in shrimp ponds, and (3) analyze the area of land under the break-even point condition of shrimp ponds the. The method used in this study is a survey method. Sampling was done by a multistage random sampling technique with a sample of 40 farmers. Data were analyzed using the Cob-Douglass production function model, Marginal Production Value and Marginal Costs, and the break-even point. The results showed that the pond area, number of shrimp seed, labor and fertilizer had a significant effect on tiger shrimp production. Variable land area and the number of seed are negatively correlated shrimp production, therefore both variables must be reduced because it is inefficient, while other variables are positively correlated with tiger shrimp production and are not efficient yet. In the future, to increase tiger shrimp production in the study area can be done by increasing the inputs that exist in the model except, land and shrimp feed. The cultivation of tiger prawns in the study area is quite profitable, the break event point production volume is 352.48 kg and the area of land is 0.37 hectares.