Profitability Of Production Research Articles

Effect of modern red clover & nitrogen fertiliser on yield, quality and botanical composition of a hybrid ryegrass sward

The advantages to pasture quality and quantity through the use of red clover in New Zealand farm systems is becoming more recognised. However, the production interactions between nitrogen fertiliser use and its effect on red clover in pastures is not well understood across multiple regions. Within this study we look to quantify the advantages of utilising red clover in hybrid ryegrass systems and show the effects of nitrogen fertiliser on red clover composition within the sward. In 2019, three replicated plot trials were established in the Manawatu, Canterbury and Southland provinces of New Zealand. All sites were managed with a typical cut and carry system for plot trials for 3 years, with dry matter (DM) production, seasonal feed quality and botanical composition measured. The primary treatments of the trials were tetraploid hybrid ryegrass, with and without red clover, with a nitrogen fertiliser treatment (276 kg N/ha/yr) and without overlayed. The trial results showed that adding both legume and fertiliser increased total dry matter production, as well as increasing the nutritional value of the pasture. Compared to straight hybrid ryegrass without fertiliser, when red clover or nitrogen fertiliser was added to the pasture mix/sward separately, total yield over three years increased by 18,147 kg DM/ha & 14,802 kg DM/ha respectively. When both red clover and nitrogen fertiliser were added to the pasture mix/sward, yield was increased by 23,301 kg DM/ha over three years. Fertiliser use and season had a significant effect on the red clover percentage of the pasture. However, even in the nitrogen fertiliser treatments, red clover proportions remained in excess of 15% across spring, summer and autumn. During winter, clover growth was minimal and contributed very little to dry matter production. Overall, the addition of red clover in pasture can significantly increase overall production and potential profitability of a farming system regardless of fertiliser practice. Maintaining fertiliser contributed to a balanced pasture which benefited the autumn-winter production phase.

Winter barley productivity in the southern part of the Rostov region when sowing sunflower as a forecrop with different seeding rates

The current study was conducted in the southern part of the Rostov region in the agrotechnical crop rotation of the laboratory for cultivation technology of grain and row crops of the FSBSI Agricultural Research Center “Donskoy” in 2021–2023. The purpose of the study was to determine the effect of seeding rates on productivity of various winter barley varieties sown after sunflower. The conducted study allowed identifying the response of winter barley varieties to different seeding rates. The winter barley variety ‘Marusya’ on average over the years of research formed the mean maximum grain productivity of 6.43 t/ha when sowing with the lowest seeding rate (3 million pcs. of germ. grains per 1 ha). For the varieties ‘Vivat’ and ‘Foks 1’, the optimal seeding rate was 4 million pcs. of germ. seeds per 1 ha, and the obtained productivity was 6.31 and 5.81 t/ha, respectively. The response of the studied winter barley varieties to seeding rates was different through the years, but the effect of this factor was 4.6–10.5 %. Reliable differences in the experiment were obtained only for the variety ‘Vivat’ for all seeding rates. The winter barley productivity was determined by the choice of a variety, and the effect of this factor ranged from 32.5 to 78.1 %. There was determined that when sowing with the lowest seeding rate (3 million pcs. of germ. grains per 1 ha), all winter barley varieties in the trial had the largest number of grains per ear and grain weight per ear with 36.3–43.2 g and 1.62–2.10 g, respectively. There was established that in the variant with this seeding rate, the varieties formed a heavy, large-size grain (nature weight of 637–660 g/l) with ‘1000-grain weight’ of 42.1–43.8 g and 10.8 to 11.3 % of protein in grain. There has been established an economic efficiency of cultivating the varieties ‘Vivat’, ‘Marusya’ and ‘Foks 1’ when sowing them with the lowest seeding rate of 3 million pcs. of germ. grains per 1 ha. With a low cost price of produced grain (5405–6136 rubles/t), in this variant of trial, the varieties obtained the maximum conditional net income (34378–45499 rubles/ha) and production profitability (108–147%).

An Economic Analysis of Maize Production across Major Producing States of India

National Food Security Mission has been taken by Government of India to increase coarse cereal Maize production in the country to meet food, feed for livestock and poultry and industrial raw material, domestic as well as global demand. The traditional and modern industrial uses have made it one of the fastest growing cash crops in the world. Considering its global as well as national importance, In this article, we have analysed the relative change, growth rate and CDVI (cuddy-della valle-index) in cost, returns, profitability and break-even production of maize during the study period 2000-01 to 2018-19 of Maize across major Maize growing states of India. The study found that Cost A1, cost A2, cost B1, cost B2, cost C1 and cost C2 of maize was found to be increased higher in Madhya Pradesh with highly significant annual growth rate during the study period than other states. These cost concepts showed low to medium instability for almost all the leading states. The findings revealed that maize was more profitable in Bihar, followed by Andhra Pradesh and Karnataka, owing to higher net income and B:C ratios than in other states. Bihar states had higher differential yield and a greater discrepancy between the cost of production and the minimum support price. In some states, actual yields were lower than break-even, and production costs were greater than the minimum support price, resulting in losses for maize growers. The study's findings would help policymakers and governments devise appropriate development strategies and effective policies for less lucrative states.

PROFITABILITY ANALYSIS OF CATFISH PRODUCTION IN KANO METROPOLIS, KANO STATE, NIGERIA

Fish is an important dietary element and a major source of animal protein in human diet for many Nigerians. The demand for fish has been on the increase because of geometrical increase in human population, this has resulted to a significant gap created between fish demand and supply. It is obvious given the importance of fish production that efforts must be made to encourage entrepreneurs to go into the business. However, many have shown doubts on the productivity and profitability of fish production, particularly on a smallholder level. This study therefore, examines the profitability of catfish production in Kano metropolis, Nigeria. Two stage sampling procedure was employed to select respondents for the study. Primary data were collected with the use of well-structured questionnaire administered to 120 catfish producers. The tools of analysis employed were descriptive statistics, gross margin and net farm income. The study revealed that Majority of the producers (69%) are male. Furthermore, 85percent of the fish producers have attained post primary education. The gross margin (GM) was ₦657,420, while the enterprise profit which is the net farm income was estimated at ₦598,128 and 0.33 return to capital for the farmers. Some of the challenges confronting the respondents in their business includes high cost of feed, lack of government support and lack of training. Thus, there is a need for provision of training for higher level of productivity, subsidizing of inputs such as feed by the government and participation in cooperative societies by the fish farmers for financial and inputs assistance by relevant Non-Governmental Organizations.

PROFITABILITY AND ITS DETERMINANTS OF MODERN HONEY PRODUCTION AMONG BENEFICIARIES OF KSAMBTT IN KANO STATE, NIGERIA

The study was conducted to examine the economics of modern honey production and among the beneficiaries of KSAMBTT Kano State, Nigeria. Structured questionnaire were used to collect information from 125 honey producers using multistage sampling techniques. The data collected were analyzed using descriptive statistics, budgetary techniques, and multiple regression model. The study revealed that majority of honey producers were male and married with mean age of 40.27 years, about 87% had one form of education or the other, and a mean of 8 household members. The study also revealed that majority of honey producers had mean production experience of 14 years. The study showed that the average total output per unit of production was 220 liters per year, total cost was N620.70 per liter, and total gross revenue per liter was N1496.80 with net income of N876.10 per liter. Age (p<0.05), marital status (p<0.05), cost of modern equipment (p<0.01), and number of modern beehive (p<0.1) were the factors significantly influencing the profitability of honey production in the study area. The study further indicated that high cost of equipment, scarcity of modern processing equipment and tools and poor management were the major problems affecting honey production in the study area. The study concluded that honey production was a profitable venture in the study area and those farmers that were engaged in the venture obtained good returns. The study recommended that government and non-governmental organizations should organize more honey production trainings at a large scale so as to accommodate more people especially females in the business.

IMPACT OF QUALITY CERTIFICATION ON THE VISIBILITY AND COMPETITIVENESS OF COFFEE PRODUCTION IN CERRADO MINEIRO

The demand for sustainable agricultural practices and products that meet ethical criteria has grown among consumers, making certifications such as Fair Trade, Rainforest Alliance and UTZ essential for producers seeking to stand out in the market. This study is justified by the need to understand how certifications can add value to coffee and influence the profitability of producers, in addition to promoting practices that guarantee the economic and social sustainability of rural communities. The general objective was to investigate the impact of certifications on the visibility and competitiveness of coffee from the Cerrado Mineiro region. The methodology adopted was qualitative, with documentary analysis and literature review, following ethical guidelines and without direct interaction with producers. Data were collected from reports, academic articles and statistics from relevant institutions. The results indicated that certified coffees tend to achieve prices up to 30% higher than non-certified coffees, reflecting the willingness of consumers to invest in products that meet quality and sustainability standards. In addition, certifications encouraged the adoption of more responsible agricultural practices, generating social and environmental benefits for producing communities. The study concludes that quality certifications are essential for the competitiveness of coffee farming in Cerrado Mineiro, recommending continued support for these practices to promote a sustainable and ethical production model.

Evaluation of toxicity of feed additive for highly productive animals

The study of new feed additives requires toxicological research to assess their safety for further use. This research presents the results of an acute toxicity study of the feed additive “Bodrivin,” developed for highly productive animals of dairy, meat-dairy, and meat breeds. The aim is to prevent stress of various etiologies, enhance the nutritional value of the diet, especially during periods of energy deficiency, and consequently improve productivity and profitability in production. Non-linear laboratory rats were used for the experiment. The first experimental group received a single oral dose of the feed additive via syringe and atraumatic needle with a bulbous end at a dosage of 2000 mg/kg. After obtaining the results of the experiment over a 14-day period, a similar experiment was conducted on the second experimental group. At the conclusion of the experiment, no signs indicating toxic effects of the studied feed additive were observed in the animals, and the body weight of the experimental animals remained unchanged in both the first and second series of the experiment. The acute toxicity study of the feed additive “Bodrivin” indicated that the evaluated feed additive belongs to Class V of danger according to GOST 32644-2014.

ANALISIS NILAI TAMBAH DAN OPTIMASI KEUNTUNGAN PRODUKSI OLAHAN KERANG KAMPAK (STUDI KASUS PADA UMKM BUNDA SURABAYA)

This research was conducted at UMKM Bunda Surabaya, Surabaya City, with a focus on value-added analysis and profit optimization of processed shellfish production. The research method used was a case study with non-probability sampling, and data collection through interviews, questionnaires, observation, and secondary data. Data analysis was carried out descriptively and quantitatively, including the calculation of production costs, revenues, and profits. The Hayami method was used to calculate added value, while the simplex method was used for production profit optimization. The results showed that Bunda Surabaya MSMEs earned profits from the production of shredded clams, clam sticks, and clam chili sauce, with a fairly high added value. The highest profit was obtained from the clam sauce product amounting to Rp. 775,201 per one production process. The added value of shredded clams is Rp. 94,726 per kg of raw material with a value-added ratio of 63.15%. This research is expected to provide benefits for the shellfish processing industry and improve the welfare of the fishing community.

Optimization Processes in Automotive Logistic Flow

This paper presents a logistic flow of assembling automotive rear axles. The product is presented in detail starting from the detailed research and analysis of relevant documentation about its functionality, including the manufacturing logistic flow diagram and the required equipment for the product manufacturing and assembly. This study is focused on optimizing the logistic flow for the manufacturing and assembly of automotive rear axles using WITNESS Horizon for system modeling and simulation in order to conduct system diagnostics, identify problems, and find solutions that will facilitate the optimization process. The study included a comprehensive assessment of the logistic flow, highlighting the performance of the equipment involved and identifying potential bottlenecks. Using the results obtained after the simulations, the Simplex linear mathematical method was applied to maximize production efficiency and profitability, considering the suppliers’ capacity constraints and the components’ delivery requirements. The results demonstrated a significantly optimized rear-axle production process, with increased profitability and improved productivity by eliminating identified bottlenecks. This research contributes to a deeper understanding of the complexities within the automotive industry and provides a solid foundation for continuously improving manufacturing and assembly processes.

ЭФФЕКТИВНОСТЬ БИОПРЕПАРАТА БИОСТИМ НА ПОСЕВАХ КУКУРУЗЫ РОСС 140 СВ

The studies were conducted to study the effect of mineral fertilizers and the certified biopreparation Biostim Corn on the growth of the Ross 140 SV corn hybrid under irrigation. The field experiment was carried out in the conditions of the Republic of Tatarstan in 2021-2023. The object of the study was the Ross 140 SV hybrid zoned in the seventh region (Middle Volga region), bred by Krasnodar Research Institute of Agriculture named after P.P.Lukyanenko. In the experiment, various schemes for using the Biostim Corn preparation separately and in combination with Maksim Gold fungicide were studied. The use of Biostim Corn as a seed dressing before sowing at a dose of 2 l/t helps to increase the productivity of green mass. Its combined use with Maksim Gold seed dressing is even more effective. Against the background of the application of the calculated rates of mineral fertilizers, this ensures the formation of an additional 1.8 t/ha of green mass and an excess of the planned yield of 50 t/ha. Replacing Maksim Gold seed dressing with Biostim Corn increases the efficiency of using mineral fertilizers and foliar feeding. The profitability of green mass production of corn in the variant with the integrated use of agrochemicals is 73.3%, the conditional net income is 33.9 thousand rubles/ha, the cost of 1000 feed units is 4.6 thousand rubles. The use of the biopreparation Biostim Corn in the technology of cultivating the hybrid crop Ross 140 SV on irrigation allows you to improve the quality of seeds, increase the productivity of green mass and reduce the cost.

Profitability of Oil Palm Production and Processing in Edo State, Nigeria

This work presents a comprehensive literature and studies conducted on the economic point of oil palm cultivation and processing and the factors that influences profitability of the sector as well as its contribution to the socioeconomic development of the farmers in Edo state. The study highlights the importance of oil palm production and processing in Edo, a major oil palm producing state in Nigeria.

Impacts of winter crop choice and ewe body condition score change on whole farm profitability and production

Variations in body condition score (BCS) in ewes influences lamb survival, ewe survival and ewe lactation performance. Feeding a low protein diet such as fodder beet to ewes in mid-to-late pregnancy increases lamb losses and reduces lamb weaning weight even further. However, using high yielding forages such as fodder beet can reduce the area of winter crop required, introducing potential whole-farm benefits which may alter profitability. We analysed the effects of winter crop choice (brassica or fodder beet) and BCS (maintaining or reducing) on whole-farm production and profitability, using a targeted supplement to offset the impacts of fodder beet feeding. Eight farms were selected to represent low or high rainfall (590 and 1090 mm/annum respectively) regions of the South Island. Impacts of changing BCS on ewe and lamb survival at lambing, and lamb liveweight gain to weaning were calculated when fed either adequate (brassica) or low protein (fodder beet) diets in mid-to-late pregnancy. Production statistics and profitability were calculated using Farmax. Whole farm profitability was analysed using BCS change and winter forage crop as main treatments, blocked by low or high rainfall. Applying the effects of BCS and low protein diets on reproductive performance from prior published studies resulted in variation of 102 to 141 lambs weaned per 100 ewes mated, with the lowest value when the low protein, fodder beet only diet was used. Greatest number of lambs weaned was achieved when BCS was maintained through winter through provision of a balanced supplement, regardless of winter forage diet (P<0.05). Lamb sale dates were later when fodder beet was used, due to lower lamb weaning weights, resulting in marginally higher prices due to changes in pricing schedule. Farm profitability was increased by 25% when BCS was maintained though winter (P<0.05) irrespective of the diet used. Use of fodder beet must be accompanied by targeted supplementation to avoid ewe BCS loss increased lamb losses and the negative effects on wastage and animal welfare. Extra profitability could only be generated by opportunities to sell surplus feed during the summer. These responses were similar in both high and low rainfall environments. This study is unique in testing measured responses of BCS and targeted nutritional supplementation under specific physiological conditions on whole-farm profitability. Farmer decisions on feed utilisation and sale also have a significant influence on the potential to mitigate the effects of variations in winter forage choice.

Determining the influence of raw milk β-casein polymorphism on the efficiency of making soft cheese

One of the ways to increase the profitability of the cheese industry is the genetic selection of dairy cows to obtain milk with excellent cheese-capacity characteristics. The object of this study is the technology of fresh soft cheeses made by the acid-rennet and thermo-acid method from the milk of cows with different β-casein genotypes (A1A1, A1A2, A2A2). The subjects of research are the physicochemical indicators of raw milk from cows with different genotypes for β-casein (A1A1, A1A2, A2A2); as well as the yield of soft cheeses. The study has established that the physicochemical parameters of milk from cows with different β-casein genotypes are typical for fresh cow's milk. The study showed that with the acid-rennet method, the composition of cheeses from A1A1 milk was 51.60 %, 21.63 %, and 23.62 % of moisture, protein, and fat, respectively. A1A2 milk cheeses contained 50.70 % moisture, 20.96 % protein, and 25.12 % fat. A2A2 milk cheeses consisted of 52.50 % moisture, 20.70 % protein, and 23.71 % fat. With the thermo-acid method, cheeses from A1A1 milk were characterized by the moisture content of 55.13 %, proteins – 23.31 %, and fat – 20.21 %. A1A2 milk cheeses contained 58.13 %, 22.62 %, and 17.98 % of moisture, protein, and fat, respectively. A2A2 milk cheeses consisted of 54.03 % moisture, 22.33 % protein, and 22.25 % fat. The calculation of the production efficiency of soft cheeses from the milk of cows with different genotypes according to β-casein with the acid-rennet method of production is 119.3 % on average, which is more compared to milk A1A2 (by 4 %) and A2A2 (by 7 %). With the thermo-acidic method, the efficiency of cheese production from A2A2 milk is 107.5 %, which is higher compared to A1A2 milk (by 9 %) and A1A1 (by 5 %). The conclusions show that changes in the β-casein genotype in raw milk can affect the yield and quality of cheese, and therefore, the profitability of production

Probabilistic reliability model of electrical motors in submersible well pumping units used in the uranium mining by in-situ leaching

Relevance. A submersible electric motor is the most vulnerable component of an electric centrifugal pumping unit used in in-situ leaching uranium mining. The accuracy of calculating the need for new electric motors directly affects the profitability of the uranium production. Aim. Development of a probabilistic reliability model for a submersible electric motor that provides the calculation of its failure probability for the upcoming period of time and allows estimating with sufficient accuracy the number of motors required to replace the failed ones. Methods. Statistical methods, survival analysis, statistical hypothesis testing. Results and conclusions. The authors conducted a study of three probabilistic reliability models for electric motors of submersible well pumping units used in in-situ leaching uranium mining. As a result of the study, the maximum likelihood estimates of model parameters were determined for each model; the adequacy of the models under study was checked based on nonparametric goodness-of-fit tests. Despite the fact that the test results did not allow excluding any of the considered models, a model based on a mixture of two Weibull distributions was selected as a probabilistic reliability model demonstrating higher consistency with real data, compared to the other models. At the same time, the analysis of the components of the mixture distribution indicated the presence of a group of electric motors with an uncharacteristically low time-to-failure value compared to the average value calculated for the entire set of equipment under study, and made it possible to estimate the share of such motors, which amounted to 8% of the total population. Possible reasons explaining such heterogeneity of data, according to the authors, are hidden manufacturing defects or more severe operating conditions in which some submersible electric motors operate.

ECONOMIC ANALYSIS OF MILLET PRODUCTION IN JERE LOCAL GOVERNMENT AREA, BORNO STATE, NIGERIA.

This research was carried out to determine the profitability of millet production in Jere local Government area of Borno state. Random sampling technique was adopted in this research through which data was collected from ninety (90) farms with the aid of a well-structured questionnaire. Data was analysed using descriptive statistics, gross margin analysis and production functions. Result indicated that 58.9% of respondents were in their economically active age group, majority (76.7%) of the farmers were male, 66.7% were married, while 42.2% had farming experience of between 21 – 30 years in millet production and it was revealed that farms were on a small-scale basis. Result further showed that millet production was profitable with gross margin and net farm income of N29,743.18 and N12,868.00 per hectare respectively. Regression model estimated revealed that double-log was the lead equation with R2 of 68.5%. Also, land, labour and agrochemical had significant impact on the level of millet output at P<0.01 level of probability and F-ratio 35.212. Estimated efficiency ratios showed that land; labour and fertilizer were under-utilised, while agrochemical was over utilised. Return to scale gave a value of 1.27 which implies that millet production was in stage 1 of the production region. It can be concluded that millet production in the study area is profitably. The study recommends that farmers should employ more land; labour and fertilizer, while the use of agrochemical should be cut down in order to improved millet production output for profit maximization.

The effect of fixed capital formation rate on gross domestic product in Iraq

The total fixed capital formation is one of the main and influential determinants of production function through its impact on production costs, competitiveness, and profits. The Iraqi gross domestic product depends on one sector (the oil sector) in financing the government budget, which may lead to crises in case of oil price collapse. Therefore, the study aims to clarify the imbalance in the production function and the real output of the Iraqi economy and to indicate the role of the total fixed capital formation in this imbalance. The econometric methods were used to measure the degree of influence of the total fixed capital formation (independent variable) on the gross domestic product (dependent variable) from 2004 to 2020. The results showed a robust relationship between fixed capital formation and gross domestic product, where the independent variable affects the dependent variable by 4.5%, while the oil sector dominated the total value added by its acquisition of the total fixed capital formation by 47.45%, and the productive sectors of agriculture and industry achieved value added of 3.8%. The study concluded that the distribution of total capital formation by sector has an impact on the gross domestic product. Therefore, it is necessary to distribute the total fixed capital formation to the productive and production-supporting sectors to achieve economic growth and diversify the structure of the gross domestic product.

Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics

Profitability is a complex notion, intertwined with theoretical, socio-economic, and modern economic considerations. While traditionally linked to monopoly advantages, contemporary views broaden this to include shareholder value creation. In agriculture, profitability faces impediments such as rising input costs, market volatility, and economic disparities, emphasizing technological innovation, market conditions, and policy as crucial determinants. This study presents an econometric simulation model to analyze and forecast wheat production profitability in Poland from 2023 to 2027, providing insights into production efficiencies, market dynamics, and policy impacts. Using a system of recursive equations, the model forecasts profitability, integrating econometric techniques with expert insights. It examines variables like resource use, production levels, and price changes, validated through FADN data. The findings reveal that price relations and production efficiencies are the key to profitability. The model highlights market volatility, particularly through “price scissors”, as the main factor influencing profitability. Favorable price conditions significantly boost profitability and incentivize production. The model is a critical tool for analyzing wheat profitability, highlighting the influence of market and policy changes. Future work could extend the model’s use to other regions or crops, incorporating advanced technologies to improve accuracy. This study offers valuable insights for agricultural economics, aiding stakeholders in strategic decision-making.

A closed-loop dual-channel supply chain network for leather products: An integrated simulation optimization clustering approach

The leather industry is pivotal to the economic development of certain countries; however, it also poses significant environmental challenges. Thus, this study aims to design a closed-loop leather supply chain network that incorporates waste recycling and product regeneration processes. In light of the growing prevalence of both in-store and online shopping, the concept of a dual-channel supply chain is examined. Furthermore, as advertising through traditional and social media continues to expand, this research uniquely investigates the impact of two advertising modalities—SMS and social networks—alongside the design and layout of retail environments, considering their effects on product sales within the supply chain context. Additionally, outlet stores are integrated into the model to facilitate the sale of products that may become outdated over time, thereby enhancing the model's real-world applicability. To achieve this, a multi-product, multi-period mathematical model is developed to minimize costs and maximize customer responsiveness in both forward and reverse supply chain flows. The K-means clustering method is employed to categorize customers based on recency, frequency, and monetary (RFM) features. Through simulation, demand parameters are derived for each customer cluster across various scenarios. Moreover, the Aghezzaf approach is utilized to address scenario-based uncertainties within the model, and the proposed multi-objective model is solved using the Augmented Epsilon constraint method. A real-world case study is conducted to apply the proposed model, and critical parameters are examined through sensitivity analysis to validate its effectiveness. The findings suggest that incorporating return flows into the supply chain can significantly enhance both producer profitability and customer responsiveness regarding leather products.

A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices

Accurate prediction of coking product prices is crucial for enhancing production efficiency, cost optimization, and profit maximization in smart coking facilities. To address the volatility caused by nonlinear factors such as raw material costs, substitutes, macroeconomic indicators, sudden events, policy changes, and market behaviors, we propose a novel integrated prediction method for coking product price prediction. This method combines Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) for signal decomposition, Bidirectional Encoder Representations from Transformers (BERT) for natural language processing, attention mechanisms (AT) to weigh feature importance, and an ensemble of Bidirectional Gated Recurrent Unit, Bidirectional Long Short-Term Memory, and Gated Recurrent Unit, abbreviated BBG, for robust feature extraction. We design a feature selection strategy to avoid data leakage and improve the predictive ability of the model, and describe a method to maintain textual data information integrity when combining data from different sources. Experimental results on coke and methanol datasets show that our approach retains multi-source text richness improves predictive capability, and outperforms other state-of-the-art methods, providing an effective tool for developing smart coke plants.

Revolutionizing Textile Manufacturing: Sustainable and Profitable Production by Integrating Industry 4.0, Activity-Based Costing, and the Theory of Constraints

The textile industry, a cornerstone of daily life and a highly globalized sector, faces significant environmental challenges due to its high water and energy consumption and extensive chemical usage. This study proposes a comprehensive green production planning and control model integrating Industry 4.0 concepts, activity-based costing (ABC), and the theory of constraints (TOC). The model utilizes mathematical programming to optimize product mix, maximize profitability, and minimize environmental impact. It leverages real-time sensing technologies and ERP systems to facilitate waste recovery, reduce carbon emissions, and achieve energy savings. Various carbon emission cost models, including continuous and discontinuous tax functions, are explored to balance corporate profitability with environmental sustainability. The findings demonstrate the model’s potential in optimizing resource utilization, reducing the environmental footprint, and enhancing profitability.