Hasil untuk "Industrial productivity"

Yanwei Lyu, Wenqiang Wang, You Wu et al.

To date, digital economy has become an emerging driving force of economic growth in various countries. To further explore the green value of digital economy, full array polygon graphic index method and Global Malmquist productivity index are used to evaluate China's digital economy development and green total factor productivity respectively. Based on a comprehensive explanation of the influence mechanism, spatial econometric model and intermediary effect model are constructed to test the spatial spillover effect and transmission mechanism between digital economy and green total factor productivity. The results show that digital economy has a positive direct impact and spatial spillover effect on green total factor productivity with the significant U-shaped characteristics, and these effects mainly come from the promotion of green technology progress by digital economy. Industrial structure upgrading and factor market distortion respectively account for 22 % and 5.875 % of the impact of digital economy on green total factor efficiency, which means that they are the two primary channels for digital economy to influence green total factor productivity. Results of heterogeneity analysis show that digital economy is the key factor for resource-based cities to break the "resource curse", but the unbalanced development of digital economy leads to the "digital gap" between the central and peripheral cities.

Daniel Ajiga, Patrick Azuka Okeleke, Samuel Olaoluwa Folorunsho et al.

Software automation is revolutionizing industrial operations by significantly enhancing efficiency, productivity, and operational reliability. This review explores how automation technologies are transforming industrial sectors, focusing on their impact on improving various aspects of industrial operations. Automation software facilitates the streamlining of repetitive and time-consuming tasks by replacing manual processes with automated systems. This shift not only accelerates operational workflows but also reduces the likelihood of human error, leading to more consistent and reliable outcomes. Key areas where software automation has made substantial contributions include production line management, inventory control, and quality assurance. In production environments, automation software optimizes manufacturing processes by integrating realtime data analysis and machine learning algorithms. This enables predictive maintenance, where potential equipment failures are identified before they occur, minimizing downtime and extending machinery lifespan. Additionally, automated inventory management systems improve stock control by tracking inventory levels and adjusting orders dynamically, ensuring that resources are efficiently allocated and reducing excess inventory. Quality assurance is another critical area where software automation excels. Automated inspection systems use advanced sensors and imaging technologies to detect defects and ensure product standards are met. This realtime monitoring capability allows for immediate corrective actions, reducing waste and enhancing product quality. The integration of automation software in industrial operations also fosters improved datadriven decisionmaking. By leveraging data analytics and reporting tools, businesses can gain insights into operational performance, identify inefficiencies, and make informed decisions to enhance productivity and profitability. However, implementing software automation requires careful consideration of system integration, employee training, and change management. Addressing these challenges is crucial for maximizing the benefits of automation and ensuring a smooth transition from traditional practices. In conclusion, software automation is a powerful catalyst for improving industrial operations and efficiency. Its ability to enhance productivity, reduce errors, and optimize resource management positions it as a key driver of industrial innovation and competitiveness. Continued advancements in automation technologies promise further improvements in operational excellence and overall industrial performance.

Gadis Suci Lestari, Herlina Fitrihidajati, Adi Candra et al.

Catfish farming still faces the problem of high feed costs, so economical and sustainable alternative feeds are needed. Lemna minor has the potential to be used as an alternative feed due to its high nutritional content, but its growth productivity is relatively low without added nutrients. The use of eco-enzymes made from household organic waste as organic liquid fertilizer is a solution to increase the productivity of Lemna minor while supporting sustainable waste management. This study aims to describe the content of eco-enzymes from organic waste, describe the effect and determine the most effective concentration of eco-enzymes in increasing the cover area (LCA) and biomass of Lemna minor, as well as assess its impact as an alternative feed supporting SDG 2. The research was conducted from September to November 2025 at Kampoeng Pintar Oase and consisted of two stages, namely observation of the eco-enzyme production process and experimentation with its implementation in Lemna minor cultivation. The parameters observed included the macro nutrient content of eco-enzymes, cover area (LCA), Lemna minor biomass, and cultivation media quality. Nutrient content analysis was conducted at the Surabaya Laboratory of the Agency for Standardization and Industrial Services (BSPJI) based on the 2011 standard for liquid organic fertilizer quality. The data were analyzed descriptively quantitatively, followed by one-way analysis of variance and Duncan's test at a 5% level. The results showed that eco-enzyme met the standards for liquid organic fertilizer and had a significant effect on the growth of Lemna minor. A concentration of 20 ml of eco-enzyme produced the highest LCA and biomass values, while a concentration of 60 ml showed the lowest growth. These findings indicate that eco-enzyme at the optimal concentration effectively increases Lemna minor production and supports sustainable food security in line with SDG 2.

Risanto Joko, Fatayat, Kurniawan Rahmad et al.

Palm oil is the main raw material for vegetable oil production throughout the word. Indonesia's oil palm plantations are extensive, covering approximately 16.8 million hectares in 2023, primarily in Sumatra and Kalimantan. For Indonesia, oil palm contributes significantly to the farmers' economy and generates foreign exchange from crude palm oil exports. However sustainable plantation management must be continuously pursued to ensuring productivity. Currently, there is a gap between the productivity and quality of oil palm fruit harvests from smallholder plantations compared to industrial plantations. The quality of oil palm fruit from smallholder plantations generally is lower than that of industrial plantations. This study proposes the designs of an application architecture and database for smallholder oil palm plantations using a User Interface and User Experience (UI-UX) approach, which allows the development of applications to collect oil palm farmer data directly, quickly, in detail, and up-to-date. This proposed design was tested to ensure the application's success in generating information such as identity, available land area, planted land area, number of oil palm trees, tree age (planting year), production level, and coordinates of their plantations.

Thomás Pinto, Moisés T. da Silva, Guilherme V. Raffo et al.

Abstract Grinding operations, especially those involving semi-autogenous mills, account for a significant portion of energy use in mineral processing. In this work, we describe the application of an advanced regulatory control strategy in a copper plant aimed at improving energy efficiency through automation. The system combines cascade and feedforward control structures to attenuate variations in the mill load, a key factor influencing energy consumption and process stability. The control scheme was integrated into the plant’s existing automation infrastructure and evaluated through a three-month industrial trial. By shifting from manual to automatic regulation of the feed rate, the plant reduced the influence of process disturbances and maintained more consistent operation. The automated system achieved a 5.84% reduction in specific energy consumption and a 1.90% increase in productivity. These results demonstrate the potential of enhanced regulatory control to deliver measurable performance gains with minimal changes to existing operations.

Sabreen Bashir, Navneet Kaur, Agrataben Vadhel et al.

Abstract Background Cannabis sativa L., renowned for its versatility in pharmaceutical, textile, and cosmetic industries, is highly susceptible to several agronomic and environmental factors, particularly herbicides. These chemical agents, while commonly used for weed control, can adversely affect plant growth, physiology, and secondary metabolite production. Understanding the plant’s response to such external stressors is essential for optimizing its cultivation and ensuring the quality of its bioactive compounds. Methods In our current work, we studied the impact of two herbicides- glyphosate and metribuzin on the morpho-physiological and biochemical characteristics of cannabis plants. The secondary metabolite production analysis was carried out using Gas Chromatography-Mass S pectrometry (GC-MS). Furthermore, in silico studies using molecular modelling and optimization via Density Functional Theory (DFT) were performed, followed by molecular docking. Results It was observed that both herbicides greatly impact overall plant productivity including primary and secondary metabolite production. Further, glyphosate treatment caused an increase in fatty acid synthesis while the contrary was observed in case of metribuzin. Also, herbicide stress leads to the synthesis of cannabidivarol and cannabidiol although they were absent in the untreated group. These findings provide crucial insights for optimizing agricultural practices in cannabis cultivation. Moreover, molecular simulation results showed that both metribuzin and glyphosate bind at the active pocket of Tetrahydrocannabinolic acid synthase (THCA synthase) and offer a mechanistic explanation for the observed variations in Δ9 -tetrahydocannabinol (THC) levels by suggesting that both herbicides inhibit THCA synthase activity, contributing to a deeper understanding of herbicide-plant interactions at the molecular level. Conclusions Our findings indicate that herbicide stress impacts overall cannabis productivity and alters biosynthesis. The stress notably stimulates the production of cannabidivarol and cannabidiol. In addition, molecular docking studies revealed that metribuzin binds to the same active channel as Cannabigerolic acid (CBGA)- the THC precursor, while glyphosate binds at the entrance, thereby hindering THC production. This multifaceted approach guides sustainable farming strategies and has implications for manipulating cannabinoid profiles in pharmaceutical and other industrial applications.

Shengyan Xu, Miao Liu, Ping Hua et al.

In 2014, China implemented a policy to limit land supply for new industrial construction in city centers with more than 5 million people to decrease the pollution of urban areas caused by industrialization. We aimed to study whether this land restriction policy (LRP) has been conducive to enhancing urban green total factor productivity (GTFP) with the goal of achieving long-term sustainable urban development. We formulated our hypotheses based on theoretical analysis. We used the difference-in-differences method and the data from prefecture-level cities from 1999 to 2017 for verification. The findings indicate that the LRP has improved the urban GTFP via (1) increasing the allocation efficiency of land transfer; (2) increasing land prices and transforming the industrial structure to tertiary industry; and (3) decreasing newly built firms, investments, patents for inventions, and technological innovation. Consequently, a selected land policy favoring green industry is required to prevent urban deindustrialization and to support the sustainable industrial development of the urban economy throughout the low-carbon transition.

WANG Jie, WANG Qianjun, ZHENG Sheng et al.

Due to large burial depths， ultra-deep clastic rock reservoirs have poor physical properties and low oil and gas productivity. However， the newly drilled Well Zheng10 in Shawan Sag， Sinopec exploration area， has encountered high-quality thick reservoirs in the Triassic Karamay Formation at a buried depth of 6 700 m， and conventional tests have obtained high industrial oil and gas flow. To reveal the characteristics of this set of reservoirs and favorable main controlling factors， clarify the direction of ultra-deep clastic rock exploration， and reduce the risk of further oil and gas exploration in this area， this paper comprehensively analyzed the data of core， well logging， cast thin sections， physical properties， scanning electron microscopy， and diagenetic evolution of the reservoirs， and discussed the petrological， physical， and pore characteristics of reservoirs in the Triassic Karamay Formation in this area. The results show that the ultra-deep clastic rocks of the Triassic Karamay Formation in Well Zheng10 area are deposited in the front of the braided river delta. The lithology is dominated by glutenites， gravel-bearing fine sandstones， and fine sandstones， and the rock types are mainly feldspar lithic sandstones with low composition maturity. The remaining primary pores and solution pores dominate the reservoir space. The average porosity of the reservoirs is 9.1%， and the average permeability is 2.85 mD. The reservoir belongs to the ultra-low porosity and ultra-low permeability type and low porosity and low permeability type as a whole. Favorable sedimentary facies zones， constructive diagenesis， and abnormal high-pressure control the development and distribution of favorable reservoirs in this area. Among them， sedimentary microfacies are the basis of favorable reservoir development. The fine sandstones deposited in the underwater distributary channel at the front of the braided river delta are better sorted and rounded. The contents of the muddy matrix are low， and the physical properties of the reservoir are better， which are the dominant phase zones for favorable reservoir development. The sodium feldspar cements generated in the early diagenetic process are dissolved by acids in the later period， which increases the dissolution pores and is an essential constructive diagenesis. The abnormal high-pressures formed by continuous oil and gas charging form early and develop continuously for a long time， playing an important construction role. The research results have a guiding role for the subsequent ultra-deep oil and gas exploration in this area.

M. Dotaniya, S. Datta, Dipankar Biswas et al.

PurposeSugarcane industries are age-old industrial practices in India which contribute a significant amount of by-products as waste. Handling and management of these by-products are huge task, because those require lot of space for storage. However, it provides opportunity to utilize these by-products in agricultural crop production as organic nutrient source. Therefore, it is attempted to review the potential of sugar industries by-products, their availability, and use in agricultural production.MethodsA large number of research experiments and literatures have been surveyed and critically analyzed for the effect of sugarcane by-products on crop productivity and soil properties.ResultsApplication of sugar industries by-products, such as press mud and bagasse, to soil improves the soil chemical, physical, and biological properties and enhanced the crop quality and yield. A huge possibility of sugarcane industries by-products can be used in agriculture to cut down the chemical fertilizer requirement. If all the press mud is recycled through agriculture about 32,464, 28,077, 14,038, 3434, 393, 1030, and 240 tonnes (t) of N, P, K, Fe, Zn, Mn, and Cu, respectively, can be available and that helps in saving of costly chemical fertilizers.ConclusionsApplication of sugarcane industries by-products reduces the recommended dose of fertilizers and improves organic matter of soil during the crop production. It can also be used in combination with inorganic chemical fertilizers and can be packed and marketed along with commercial fertilizer for a particular cropping system. That helps in reduce the storage problem of sugarcane industries by-products across the India.

Graziana Blandino

The Fourth Industrial Revolution has introduced innovative technologies to manufacturing, resulting in digital production systems with consequences on workers’ roles and well-being. From the literature emerges the necessity to delve into the work-related stress phenomenon since it affects workers’ health status and performance and companies’ productivity. This review summarises the stress indicators and other influential factors in order to contribute to a stress assessment of human workers in smart and intelligent manufacturing systems. The PRISMA methodology is adopted to select studies consistent with the aim of the study. The analysis reviews objective measurements, such as physical, physiological, and subjective measurements, usually driven by a psychological perspective. In addition, experimental protocols and environmental and demographic variables that influence stress are illustrated. However, the investigation of stress indicators combined with other factors leads to more reliable and effective results. Finally, it is discovered that standards regarding stress indicators and research variables investigated by experimental studies are lacking. In addition, it is revealed that environmental and demographic variables, which may reveal significant suggestions for stress investigation, are rather neglected. This review provides a theorical summary of stress indicators for advanced manufacturing systems and highlights gaps to inspire future studies. Moreover, it provides practical guidelines to analyse other factors that may influence stress evaluation.

Çiler Çallı, Didem Özer Çaylan

Amaç: Bu çalışma sanayi işletmelerinin Endüstri 4.0 unsurlarına hangi düzeyde hâkim olduğunu belirlemek, literatürde belirtilen etkilerin reel ile ilgisini anlamak ve adaptasyon sürecinde yaşananları tespit etmek amacıyla yapılmıştır. Yöntem: 2019 Şubat ayında yapılan ön çalışma listesinde yer alan sanayi işletmeleriyle çevrim içi olarak yarı yapılandırılmış görüşmeler yapılmıştır. Nitel araştırma yöntemlerinden fenomenoloji deseni kullanılarak içerik analizi tekniğiyle incelenen görüşme deşifreleri MAXQDA programında kodlanarak değerlendirilmiştir. Bulgular: Büyük sanayi işletmelerinin Endüstri 4.0 unsurlarından en çok hangilerini kullandıkları, adaptasyon süreçleri, yaptıkları yatırımın geri dönüşü başlıklarda bulgulara ulaşılmıştır. Özgünlük: Literatürde dördüncü sanayi devriminin sanayi işletmelerine, özellikle satın alma ve lojistik fonksiyonlarına etkilerine dair kaynakların sayısının yetersiz olmasına karşın bu çalışmada Endüstri 4.0 unsurlarını uygulayan sanayi işletmelerinin satın alma ve lojistik fonksiyonu yetkili/yöneticilerinin görüşlerinin yer alması bu çalışmanın özgünlüğünü sağlamaktadır.

Mustafa Çoruh

Purpose: The importance of digital Smart City (SC) applications in the productive and effective fulfillment of city services has begun to increase. The aim of this study is calculating the weighted and unweighted urban digitalization indexes (UDI) values and ranking the cities based on these values.Methodology: Indicators, critical success factors (CSF), and dimensions affecting the digital transformation (DT) of cities were determined through literature review, surveys, and interviews. Urban Digitalization Maps (UDM) were prepared and UDI values were calculated with the help of the areas on these maps. The cities have been ranked according to calculated UDI values. In the research, the relevant indicator values were collected from city institutions to measure CSF rates with city data. In these measurements, the Satyam UDI Calculation technique was used to calculate UDIs, and the Categorical Value Selection technique was used to calculate indicator weight-percentages.Findings: In the resulting ranking table, it was seen that each province had different UDIs.UDI rankings and UDMs can enable administrators to take the necessary decisions in determining new SC policies and strategies, and thus use city resources more effectively and productively. As a result, since the DT of cities is not only a technological and temporary transformation, but an intergenerational transformation, it has been proposed to digitalize city services according to the Z-Generation.Originality: This study is the first to measure the level of digital transformation of 81 provinces in Türkiye.

Satyam Paul, Rob Turnbull, Davood Khodadad et al.

The fault detection system using automated concepts is a crucial aspect of the industrial process. The automated system can contribute efficiently in minimizing equipment downtime therefore improving the production process cost. This paper highlights a novel model based fault detection (FD) approach combined with an interval type-2 (IT2) Takagi–Sugeno (T–S) fuzzy system for fault detection in the drilling process. The system uncertainty is considered prevailing during the process, and type-2 fuzzy methodology is utilized to deal with these uncertainties in an effective way. Two theorems are developed; Theorem 1, which proves the stability of the fuzzy modeling, and Theorem 2, which establishes the fault detector algorithm stability. A Lyapunov stabilty analysis is implemented for validating the stability criterion for Theorem 1 and Theorem 2. In order to validate the effective implementation of the complex theoretical approach, a numerical analysis is carried out at the end. The proposed methodology can be implemented in real time to detect faults in the drilling tool maintaining the stability of the proposed fault detection estimator. This is critical for increasing the productivity and quality of the machining process, and it also helps improve the surface finish of the work piece satisfying the customer needs and expectations.

R. Long, Tianxiang Shao, Hong Chen

Abdullaev G.S., Bogdanov A.N., Eydel'nant N.K.

The Fergana region is one of the five petroleum bearing regions of the Republic of Uzbekistan with proven industrial productivity in the stratigraphic range from Paleozoic to Neogene, including. An overview of the history of geological and geophysical exploration, lithological and stratigraphical characteristics of sections, tectonic structure and oil and gas content with stratigraphic and tectonic features of fields, their phase composition, the results of exploration activity, including those carried out by investors, the number of discovered petroleum accumulations, their ranking, concerning type of fluids. Highlighted the priority stratigraphic sections and territories for further exploration. Further oil and gas prospects of the region are justified by the presence of traps, as well as predicted and promising petroleum resources, which indicates the feasibility of further exploration for oil and gas in the Fergana region of the Republic of Uzbekistan.

Ana Vafadar, Ferdinando Guzzomi, Alexander Rassau et al.

In recent years, Additive Manufacturing (AM), also called 3D printing, has been expanding into several industrial sectors due to the technology providing opportunities in terms of improved functionality, productivity, and competitiveness. While metal AM technologies have almost unlimited potential, and the range of applications has increased in recent years, industries have faced challenges in the adoption of these technologies and coping with a turbulent market. Despite the extensive work that has been completed on the properties of metal AM materials, there is still a need of a robust understanding of processes, challenges, application-specific needs, and considerations associated with these technologies. Therefore, the goal of this study is to present a comprehensive review of the most common metal AM technologies, an exploration of metal AM advancements, and industrial applications for the different AM technologies across various industry sectors. This study also outlines current limitations and challenges, which prevent industries to fully benefit from the metal AM opportunities, including production volume, standards compliance, post processing, product quality, maintenance, and materials range. Overall, this paper provides a survey as the benchmark for future industrial applications and research and development projects, in order to assist industries in selecting a suitable AM technology for their application.

William R. Birmingham, Asbjørn Toftgaard Pedersen, Mafalda Dias Gomes et al.

5-Hydroxymethylfurfural (HMF) can be transformed to a range of industrially useful derivatives, such as 2,5-diformylfuran (DFF), but the reactions needed for efficient industrial production are hindered by several issues. Here, the authors perform reaction and enzyme engineering resulting in a galactose oxidase variant with high activity towards HMF, improved oxygen binding and high productivity.

S. Demianenko , M. Sahaidak , O. Sas et al.

Abstract. The analysis of activities of large-scale agri-industrial entities (LAEs) or so called «agriholdings» in Ukraine has shown their advantages in comparison with other types of farming. Their main advantage is a real agri-industrial integration including farming, processing, trading of foods, often with own trade mark, and export activity. Also, LAEs have possibilities to attract cheap financial resources from affiliated or own banks in Ukraine and abroad. As a result, they implement modern technologies in farming and processing, produce high quality foods and have good competitive positions on agricultural and food markets in Ukraine and abroad. In the LAE exist a transfer pricing that minimize the external intermediaries, taxes and increases income. It is why the most LAE pay a higher rent for the land, salary to the workers and have higher efficiency in comparison with other form of agricultural enterprises. Real agri-industrial integration in LAE is significantly different from such integration in  other agricultural entities that have small processing plants without deep reworking of agricultural row materials. LAEs provides large-scale of agricultural and processing production and have possibilities to use its advantages in form of receiving of effect of scale. The large-scale production allow them to use high productive machinery and modern technologies and thanks to this significantly increase productivity of resources, decrease costs per unit of products and, as a result, increase the efficiency of production. The narrow segment of LAEs activity is qualified personal in framework of modern agricultural and processing technologies. Existing human capital in the rural area does not meet necessary requirements because the part of active population is sharply decreasing, there are no enough qualified specialists. It should be mentioned, that problem with hiring of top managers, due to large scale and complex tasks, is one of the most actual. It is why LAE forced them self to prepare such specialists. The efficiency of eight LAEs has been evaluated. To carry out the analysis of the LAEs efficiency depending on their scale, a simulation model was developed based on the calculated correlation-regression model according to the actual data. It was determined that the dependence between the efficiency and scale of the LAEs exist at a low level. Noted that the highest level of the efficiency of functioning of the «large» LAEs is a result of the more compact layout of the production facilities and better management. Keywords: large-scale agri-industrial entities, agriholdings, land bank, cultivated land, agri-industrial integration, technologies, efficiency. Formulas: 3; fig.: 5; tabl.: 3; bibl.: 24.

Ibragimova Alina, Wang Yan, Ivanov Michail

The purpose of this work is to provide information on the development of the infrastructure of the African economy. The study provides statistics on African regions and industries. This article focuses on the forms of economic and social infrastructure, and directs to determine the share development infrastructural in Africa. The Africa has entered an era of devastating change this study shows that with the unfolding economic downturn in the northern economies that have traditionally dominated the global economy. The article provides empirical evidence on how the industrial sectors developed from an economic point of view. The authors believe that infrastructure affects output and productivity directly as a contribution to the production function of other sectors and as part of GDP formation. The article discusses the development of infrastructure for the period 1999-2019 without more detailed dynamics. It also does not explain the main topics developed by the authors. The work provides knowledge on how investments are developing in Africa, how industries have developed, and what is the role of each infrastructure sector in this development. It also shows how different areas of infrastructure work with different successes in creating new paths in the African economy.

Ping Li

In the post-COVID-19 era, high-quality development will be a key characteristic of China’s economic development. Despite the disruption caused by the pandemic, China’s economy has remained on track for stable and long-term development. In the bid to drive China’s economic transition from factor-driven to innovation-driven development, it is imperative to improve total factor productivity, and that effort should focus on five key factors: urbanization and labour migration; the spillover effect of foreign technologies; human capital enhancement; scientific and technological progress; and marketization process. It is important to align with the main trends and directions of the scientific and technological revolution and industrial transformation. It will be increasingly necessary to focus on developing a dominant technological system represented by next-generation information technology, biotechnology, new energy sources and new materials and to leverage key accelerators of progress, including institutional reform, market optimization and indigenous innovation in order to advance high-quality economic development.