Analysis Of Production Efficiency Research Articles

Production efficiency analysis based on the RFID-collected manufacturing big data

Radio Frequency Identification (RFID) technology is widely used for production data collection in manufacturing shop-floors. The RFID-collected manufacturing big data reflects detailed statuses of production processes and manufactured products, which, in turn, can be used to support a comprehensive production analysis. This paper introduces an analytical approach to conduct production efficiency analysis based on the RFID-collected manufacturing big data. The proposed method involves four key steps: data cleansing, data processing, key performance indicator (KPI) estimation, and data analytics. Specifically, speed and quality aspects of shopfloor manufacturing are investigated collectively as production efficiency to support the comprehensive production analysis. The findings highlight the influence of various factors, such as operation date, working hour, and machine failure, on production efficiency.

Quantitative Analysis of Wood Tar Production Efficiency of Selected Wood Species in Sierra Leone

Quantitative Analysis of Wood Tar Production Efficiency of Selected Wood Species in Sierra Leone

Моніторинг ефективності зернового господарства України: фактори впливу та повоєнні перспективи

A comprehensive analysis of production efficiency was carried out, a model was developed and the degree of influence of factors on the level of profitability of growing grain crops was calculated. Forecasts of the yield of grain crops, wheat, corn, and barley for the nearest future have been built, taking into account the patterns that have developed over the previous period (1950- 2022). Forecast indicators of the profitability of the production of grain crops for the short-term perspective have been determined. The dependence of the efficiency of grain-growing enterprises on the average size of their sown areas was assessed. It was established that a positive return from the effect of scale, which is reflected in the form of an increase in productivity and profitability, is observed in grain farming enterprises when the land bank is increased to 5,000 hectares.

Malmquist모형을 이용한 중국 랴오닝성 농업생산효율성 분석

Malmquist모형을 이용한 중국 랴오닝성 농업생산효율성 분석

INPUT AND OUTPUT LEVELS OF IRRIGATION PROGRAMMES FOR VEGETABLE PRODUCERS MANAGED BY THE GOVERNMENT AND FARMERS IN NORTH WEST NIGERIA

This study examined the level of vegetable production and estimate their production efficiency in North West Nigeria. In order to achieve this, a sample size of 360 vegetable farmers from Jigawa (110), Kano (137) and Katsina (113) States were randomly selected using a multi-stage sampling technique. The data were collected using structured questionnaires and interview scheduled. The tools of analysis include descriptive statistics and Cobb-Douglas stochastic frontier production model. The results of the production efficiency analysis showed that seed and labour significantly influenced the level of production of tomato, pepper and onion at 1% level of probability. There was also a strong correlation between the level of production and the type of irrigation scheme thereby confirming the variability in the level of vegetable production across government managed irrigation scheme (GMIS) and farmers managed irrigation scheme (FMIS). The significant deviation from the expected maximum level of production efficiency was impacted by the presence of technical inefficiency which in turn was determined by a number of factors On average, farmers under GMIS and FMIS were 64% and 67% technically efficient in tomato production, 81% and 69% technically efficient in pepper farming and 69% and 78% technically efficient in onion cultivation, respectively. The most important determinants of allocative inefficiency in vegetable production were the age of the household head, farming experience, type of irrigation scheme and the soil properties. On average, vegetable farmers under GMIS and FMIS were 85% and 65% allocative efficient in tomato production, 76% and 74% allocative efficient in pepper farming and 77% and 81% allocative efficient in onion cultivation, respectively. Consequently, it was derived that, on average, vegetable farmers under GMIS and FMIS were 55% and 50% economically efficient in tomato production, 64% and 50% economically efficient in pepper farming and 53% and 64% economically efficient in onion production, respectively. It was concluded that vegetable farming system under GMIS is more efficient and sustainable than FMIS, judging from efficiencies parameters. Inputs such as labour, seed and fertilizer were inelastic with respect to output, hence, farmers are encouraged to be train by extension agents in order to determine the most appropriate rate of inputs to use.

Assessing Production and Marketing Efficiency of Organic Horticultural Commodities: A Stochastic Frontier Analysis

Inefficiency is a problem in the production process, including in the organic farming sector. Over a long term period, this problem can disrupt the productivity of agricultural crops. This research aims to analyze the production and marketing efficiency of organic cabbage farming in the Kopeng agropolitan area, Indonesia. We utilized a Cobb–Douglas production efficiency analysis with the Stochastic Frontier Analysis (SFA) approach. The variables in this study include organic cabbage production, land area, seedlings, organic fertilizers, organic pesticides, and labor. We conducted in-depth interviews with 60 organic cabbage farmers in Kopeng, Indonesia, from January to August 2023. The research results showed that organic cabbage cultivation was economically inefficient in production, technical, and marketing. The use of organic fertilizers, the ability to diversify products on limited land, and the use of pesticides, have not been utilized optimally yet. The results of the marketing efficiency analysis showed that it was efficient. Organic plants were believed to have their market share and to have a higher selling value than non-organic ones. The implication was that the government needed to provide training in producing organic fertilizers and pesticides to reduce production costs so that organic farming could be technically and financially efficient. This research enriched the discussion regarding the need to analyze production and marketing efficiency to find strategies to increase organic cabbage productivity.

Efisiensi Produksi Usahatani Jagung Pada Sistem Budidaya Olah Tanah Dan Tanpa Olah Tanah Di Kabupaten Lombok Barat

The objectives of this research are 1). Analyze the level of corn productivity in the OT and TOT systems 2). Analyzing the costs and income of corn farming in the OT and TOT systems, 3). Analyze the factors that influence corn production, 4). Analyzing the efficiency of corn production in the OT and TOT systems, and 5). Analyzing the efficiency of using corn production factors in the OT and TOT systems in West Lombok Regency. This research uses descriptive methods, data collection uses survey techniques. The types of data in this research are quantitative data and qualitative data. The respondents in this study were corn farmers who are members of Gerung District, Sheet District and Sekotong District because these three Districts are the Districts that produce the most corn in West Lombok Regency. The determination of respondents was determined by quota sampling of 90 people, where from each sub-district, 15 farmers were taken using the tillage system and 15 farmers with tillage, who were taken using simple random sampling (simple random sampling) by drawing randomly. Shows that the average cost of corn farming with a tillage system is IDR 33,429,620.05 greater than the cost of corn farming with a no-till system of IDR 29,951,766.48. Production is also the same, OT 11,212.64 Kg and TOT 9,598.44 Kg. and OT income of IDR 13,663,486.65 and TOT 10,323,900.19. The production function equation for the tillage system is as follows: Y = 98,363 + 7285,316 + 10,684 - 23,083 - 0.251 - 1,070 + 67,469 + 96,180 + 148,929 - 5,275 - 0.869. The production function equation for the no-till system is as follows: Y = 376,366 + 1,398 + 56,372 + 33,368 + 1,757 + 17,095 + 513,285 + 591,852 + 648,293 + 7,566 - 112,733. The results of the production efficiency analysis show that the R/C ratio for corn farming with a tillage system is 1.84 and corn farming with a no tillage system is 1.81, which shows that both are efficient in terms of production. The results of the efficiency analysis of the use of production factors in farming with tillage and no tillage systems are at an inefficient level due to the use of production factors which is still high.

Innovative Approaches to 3D Printing of PA12 Forearm Orthoses: A Comprehensive Analysis of Mechanical Properties and Production Efficiency.

This research paper aims to explore the mechanical characteristics of polyamide PA12 (PA12) as a 3D material printed utilizing Selective Laser Sintering (SLS) and HP MultiJet Fusion (HP MJF) technologies in order to design and manufacture forearm orthoses. The study assessed the flowability of the materials used and compared the mechanical performance of PA12 with each other using tensile, flexure, and impact tests in five different fabrication orientations: X, Y, Z, tilted 45° XZ, and tilted 45° YZ. The results of the study provide, firstly-the data for testing the quality of the applied polyamide powder blend and, secondly-the data for the design of the orthosis geometry from the aspect of its strength parameters and the safety of construction. The mechanical parameters of SLS specimens had less variation than MJF specimens in a given orientation. The difference in tensile strength between the 3D printing technologies tested was 1.8%, and flexural strength was 4.7%. A process analysis of the forearm orthoses revealed that the HP MJF 5200 system had a higher weekly production capacity than the EOS P396 in a production variance based on obtaining maximum strength parameters and a variance based on maximizing economic efficiency. The results suggest that medical device manufacturers can use additive manufacturing technologies to produce prototypes and small-batch parts for medical applications. This paper pioneers using 3D printing technology with Powder Bed Fusion (PBF) methods in designing and manufacturing forearm orthoses as a low- to medium-volume product. The applied solution addresses the problem of medical device manufacturers with regard to the analysis of production costs and mechanical properties when using 3D printing for certified medical devices.

The analysis of electrode material efficiency in hydrogen production through electrolysis from seawater solution

The analysis of electrode material efficiency in hydrogen production through electrolysis from seawater solution

Analysis of production efficiency of cloned transgenic Yucatan miniature pigs according to recipient breeds with embryo transfer conditions

The purpose of this study was to compare the efficiency of the production of cloned transgenic Yucatan miniature pigs (YMPs) using two recipient breeds, i.e., YMPs and domestic pigs (DPs), under various embryo transfer conditions. We initially assessed the in vitro developmental competence of embryos obtained via somatic cell nuclear transfer (SCNT) from three different transgenic donor cells. No difference was observed among the three groups regarding developmental competence. Furthermore, the cloning efficiency remained consistent among the three groups after the transfer of the SCNT embryos to each surrogate mother. Subsequently, to compare the efficiency of the production of cloned transgenic YMPs between the two recipient breeds using varying parameters, including ovulation status (preovulation and postovulation), duration of in vitro culture (IVC) (incubated within 24 h and 24–48 h), and the number of transferred SCNT embryos (less than and more than 300), we assessed the pregnancy rates, delivery rates, mean offspring counts, and cloning efficiency. Regarding the ovulation status, YMPs exhibited higher pregnancy rates, delivery rates, and cloning efficiency compared with DPs in both statuses. Moreover, the pregnancy rates, delivery rates, and cloning efficiency were affected by the ovulation status in DPs, but not in YMPs. The comparison of IVC duration between groups revealed that YMPs had higher pregnancy rates vs. DPs in both conditions. SCNT embryos cultured for 24–48 h in YMPs yielded higher delivery rates and cloning efficiency compared with those cultured for less than 24 h in DPs. Finally, the analysis based on the number of transferred SCNT embryos showed that both the pregnancy and delivery rates were higher in YMPs vs. DPs. However, the highest average number of offspring was obtained when more than 300 SCNT embryos were transferred into DPs, whereas the cloning efficiency was higher in YMPs vs. DPs. Our results suggest that YMPs are more suitable recipients than are DPs under various conditions for the production of cloned transgenic YMPs.

An analysis of production efficiency in China's real estate industry based on a two-stage DEA model.

To examine the resource utilization in different phases such as development and sales within China's real estate industry, this paper employs a two-stage Data Envelopment Analysis (DEA) model to measure the production efficiency of the real estate industry across 31 provinces, municipalities, and autonomous regions of China from 2014 to 2022. By examining both overall and phase-specific trends, the study utilizes a panel Tobit model to explore the factors affecting efficiency. Empirical results indicate that the leverage ratio of companies, per capita GDP of regions, and real estate regulatory policies significantly impact production efficiency. Further analysis of regional heterogeneity and its effect on production efficiency revealed that the per capita residential building area, which reflects the housing stock configuration in different regions, exhibits a significant single threshold effect. This not only objectively assesses the utilization of real estate resources in different areas but also delves deeper into the principal factors and their mechanisms affecting the production efficiency of the real estate industry, thus providing theoretical support and policy recommendations for effectively enhancing production efficiency.

A Stochastic Frontier Analysis of Maize Production Efficiency and Its Climate-Smart Agricultural Practice Determinants in Southeast, Nigeria

Efficient maize production and resource allocation are crucial for agricultural sustainability, particularly in climate-vulnerable areas like Southeast Nigeria. This study employs stochastic frontier analysis (SFA) to investigate the efficiency of maize production and the determinants of allocative efficiency under climate-smart agricultural practices (CSAPs). The study includes 375 maize farmers selected randomly for the research sample. The analysis begins with estimating the efficiency parameter of maize production, revealing a relatively low Sigma-square value (0.029) and a moderate Gamma value (0.786). The study found a positive association between various inputs such as landholding, seed quality, and organic manure application. The mean TE and AE are 0.894 and 0.747 respectively. Allocative efficiency analysis reveals that while water management practices significantly affect technical efficiency positively, they unexpectedly lead to lower AE. Access to information and adoption of early planting positively influence allocative efficiency. Further examination of socioeconomic determinants indicates the role of extension services (3.07)*** in enhancing AE, while cooperative membership negatively impacts it, possibly due to information asymmetry. These findings emphasize the need for tailored interventions to optimize resource allocation strategies and enhance agricultural productivity and sustainability in Southeast Nigeria, particularly amidst the challenges posed by climate change. Comprehending the complex dynamics of resource allocation and efficiency in agriculture is crucial for crafting efficient policies and interventions aimed at improving productivity and resilience amidst changing climate conditions.

A Comprehensive Analysis of Production Efficiency: A Tax Reform Perspective

A Comprehensive Analysis of Production Efficiency: A Tax Reform Perspective

Spatiotemporal Characteristics of Agricultural Production Efficiency in Sichuan Province from the Perspective of “Water–Land–Energy–Carbon” Coupling

Maintaining low carbon levels is an important strategy to minimize the levels of carbon emissions globally, and utilization of energy in agricultural production activities is one of the major sources of carbon emissions. Promoting carbon reduction in agricultural production is a key method to achieve “carbon neutrality and carbon peaking”. This article established an input–output index system for evaluating agricultural production efficiency from the “water, land, energy and carbon” dimensions, and then used the super-efficient SBM model to calculate the value of agricultural production efficiency. The article combined the Malmquist index and spatial autocorrelation method to explore the spatiotemporal characteristics of agricultural production efficiency in Sichuan Province. Finally, this article analyzed the factors that affect agricultural production efficiency in Sichuan Province. The research results indicated that: (1) Agricultural carbon emissions in Sichuan Province decreased from 2011 to 2020, and agricultural carbon emissions in the eastern region were higher than the western region. (2) The agricultural production efficiency in Sichuan Province was generally above 0.88, with fluctuations observed from 2011 to 2020. Increase in agricultural production efficiency in the region was highly correlated with advances in technological progress. The spatial distribution of agricultural production efficiency exhibited an opposite trend to agricultural carbon emissions, and Moran’s I index was approximately 0, indicating a relatively random spatial distribution. (3) Analysis of influencing factors showed that the urbanization rate was inversely proportional to agricultural production efficiency, and the level of agricultural economic development was directly proportional to agricultural production efficiency. The agricultural production efficiency analysis model established in this article provides key information for developing policies to improve agricultural production efficiency and provides a basis for the practical promotion of low-carbon agricultural production in Sichuan Province. The paper provides a reference to develop strategies to achieve the regional “double carbon” goal.

Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices

This study undertakes a comprehensive analysis of vegetable production efficiency in China using input–output data from 30 provinces spanning 2011 to 2017. By incorporating environmental pollution costs as undesirable outputs alongside vegetable output value, we employ Data Envelopment Analysis (DEA) with the Banker, Charnes, and Cooper (BCC) model and the Malmquist index model. Our assessment reveals both annual and inter-period efficiency changes. The findings highlight a modest overall efficiency in China’s vegetable production and significant regional disparities. Technical progress emerges as a pivotal determinant of total factor productivity (TFP). Recognizing these dynamics, we propose policy recommendations that prioritize technical innovation, sustainable practices, rural infrastructure enhancement, and specialized cultivation methods. Implementing these recommendations could bolster China’s position in international trade negotiations due to increased exports and potentially drive broader environmental policy reforms. As vegetable production becomes more efficient and sustainable, there might be a shift in labor needs, potentially leading to migration patterns or changes in employment structures. These insights contribute to the sustainable development of China’s vegetable industry, offering a broader understanding of the dynamics of agricultural efficiency in the context of environmental sustainability.

Productive efficiency analysis with unobserved inputs: An application to endogenous automation in railway traffic management

Productive efficiency analytics are commonly used in managerial decision making, but are vulnerable to an omitted variable bias issue when there is incomplete information on the used production factors. In this paper, we relax the standard assumption in productive efficiency analysis that all input quantities are observed, and we propose a nonparametric methodology for cost inefficiency measurement that accounts for the presence of unobserved inputs. Our main contribution is that we bridge the nonparametric OR/MS and the economic Industrial Organization literature by addressing the general critique of Stigler (1976) on the concept of inefficiency (Leibenstein, 1966), which states that found inefficiencies reflect unobserved inputs rather than waste. Our methodology explicitly differentiates between cost inefficiency (i.e., waste; deviations from optimizing behavior) and unobserved input usage (i.e., optimally chosen input factors that are unobserved to the empirical analyst). We apply our novel method to a purpose-built dataset on Belgian railway traffic management control rooms. Our findings show the existence of meaningful inefficiencies that cannot be attributed to use of unobserved inputs or environmental factors. In addition, we document how the omitted variable bias impacts cost efficiencies of individual observations in a dissimilar way in case the use of unobserved inputs is not controlled for.

Choosing the optimal strategy for residual hard-to-recover oil reserves confined to low-permeability heterogeneous reservoirs extracting

The problem considered in the article concerns the oil reserves development complexity from deposits characterized by degraded reservoir porosity and permeability – low permeability and connectivity of reservoirs, high fragmentation, variability, and discontinuity of sand bodies. On the example of one of the facilities with a significant areal distribution, the issue of choosing the development system optimal characteristics based on the production efficiency analysis, as well as the proxy modeling results is studied. As a result, it was found that for the conditions considered, the sealing of the production well grid has a positive effect on the oil extraction process, while maintaining the flooding system rigidity is a prerequisite for maintaining the production efficiency. Optimal for the reserves development of the conditions considered is a system of horizontal producing and directional injection wells. Based on the conclusions made, a technique has been formed for potential sites for the grid compaction, which allows to increase both the degree and the rate of residual reserves productionl. Keywords: low-permeable formations, hard-to-recover reserves, drilling, oil recovery coefficient.

Productive efficiency analysis with incomplete output information

Productive efficiency analysis with incomplete output information

Production Efficiency Analysis of Dairy Cattle Business in Cisarua Bogor District

This study aims to analyze the production efficiency of dairy cattle business in Cisarua Bogor District. The research focuses on identifying factors that affect production efficiency and provides recommendations for improving the efficiency of dairy cattle business. The study utilizes a quantitative research approach and collects data through a survey questionnaire administered to dairy cattle farmers in Cisarua Bogor District. The findings of this research contribute to the understanding of the factors influencing production efficiency in the dairy cattle industry. The results highlight the importance of precision feeding, genetic factors, and farmers' skills in promoting production efficiency. The implications of these findings for dairy cattle farmers and recommendations for future research are discussed.

Analysis of Production Efficiency of Rice Seed Producers in Serdang Bedagai Regency, North Sumatera, Indonesia

Analysis of Production Efficiency of Rice Seed Producers in Serdang Bedagai Regency, North Sumatera, Indonesia