Research on Quantitative Analysis Method of Combined Maintenance Task

In this paper, the delay time theory is used to establish the mathematical model of the combination of monitoring and periodic replacement tasks, and the impact of maintenance period of monitoring and periodic replacement is discussed. Through the optimization solution, the optimal cycle of combined maintenance tasks is obtained to minimize the maintenance cost while ensuring the reliability. Finally, an example is given to demonstrate the feasibility of this method.

Analisis Produktivitas Mesin Filling Auto Cup Sealer 1 dengan Metode Overall Equipment Effectiveness pada PT. Prima Kemasindo

The high level of downtime on the ACS 1 filling machine at PT. Prima Kemasindo causes the production process to be not optimal on the machine. The purpose of this study is to identify the maintenance system on the ACS 1 filling machine and measure the productivity level of the ACS 1 filling machine in the period from January to March 2021. This research is applied research using the Overall Equipment Effectiveness (OEE) method. The data used in this study are primary and secondary data obtained from company reports as well as interviews and observations. The results obtained in this study are the Overall Equipment Effectiveness (OEE) value of the ACS 1 filling machine for the period January 98.0%, February 98.5%, March 95.2%, and the average OEE value for the January-March period is 97.2 %. Then from the analysis of Six Big Loses, it is known that the highest loss elements are Idling and Mirror Stoppages and Reduced Speed. Based on the results of the fishbone diagram, it is known that the cause of Idling and Mirror Stoppages and Reduced Speed consists of several factors, namely humans, machines, materials, and methods. Several efforts can be made to increase the effectiveness of the use of machines, namely periodic replacement of machine maintenance, periodic operator training, and training on operator self-awareness, the importance of supervision, and operators must always supervise machine parts.

Genetic Gains in Pearl Millet in India: Insights Into Historic Breeding Strategies and Future Perspective

Pearl millet (Pennisetum glaucum R. Br.) is an important staple and nutritious food crop in the semiarid and arid ecologies of South Asia (SA) and Sub-Saharan Africa (SSA). In view of climate change, depleting water resources, and widespread malnutrition, there is a need to accelerate the rate of genetic gains in pearl millet productivity. This review discusses past strategies and future approaches to accelerate genetic gains to meet future demand. Pearl millet breeding in India has historically evolved very comprehensively from open-pollinated varieties development to hybrid breeding. Availability of stable cytoplasmic male sterility system with adequate restorers and strategic use of genetic resources from India and SSA laid the strong foundation of hybrid breeding. Genetic and cytoplasmic diversification of hybrid parental lines, periodic replacement of hybrids, and breeding disease-resistant and stress-tolerant cultivars have been areas of very high priority. As a result, an annual yield increase of 4% has been realized in the last three decades. There is considerable scope to further accelerate the efforts on hybrid breeding for drought-prone areas in SA and SSA. Heterotic grouping of hybrid parental lines is essential to sustain long-term genetic gains. Time is now ripe for mainstreaming of the nutritional traits improvement in pearl millet breeding programs. New opportunities are emerging to improve the efficiency and precision of breeding. Development and application of high-throughput genomic tools, speed breeding, and precision phenotyping protocols need to be intensified to exploit a huge wealth of native genetic variation available in pearl millet to accelerate the genetic gains.

Energy Harvesting for Wireless Sensor Nodes Using Rectenna

Wireless sensor nodes generally operate using energy from source line batteries, which need to be replaced or recharge from time to time. The connection of electromagnetic energy to DC energy, which is called radiofrequency (RF) energy harvesting, is one of the best techniques to act as an energy source for this equipment. An ambient amount of RF energy is present in our environment radiated from numerous sources so that it can act as a much predictable source of energy as compared to other techniques of energy harvesting. This system eliminates the periodic replacement of energy batteries for these sensor nodes. Despite the enormous RF energy present in the environment, the power per unit area is quite low. Hence, the major barrier is to increase the output of the rectifier circuit, even though the power density is low.

RESULTS OF EXPERIMENTAL STUDIES OF THE PROCESS OF SOIL REMOVAL AND LOADING IN GREENHOUSES

Выращивание овощей в теплицах позволяет собирать частые урожаи и круглогодично обеспечивать население свежей продукцией. В последнее время, особенно с развитием органического земледелия, наряду с гидропонной широко используется грунтовая технология, при которой растения выращиваются на специально приготовленных почвенных смесях, состоящих из естественных природных компонентов. Использование этой технологии предполагает периодическую замену верхнего (санитарного) слоя почвы в теплицах. Специализированных машин для выполнения операции по удалению санитарного слоя практически не существует, а для выполнения этой технологической операции в хозяйствах используют неприспособленные машины и оборудование. Для выполнения данной операции предложена новая конструкция прицепной машины для удаления и погрузки почвы. Приведены результаты экспериментальных исследований влияния режимных параметров на энергоемкость процесса удаления и погрузки почвы, а также установлен характер зависимости мощности, необходимой на привод машины, от режимных параметров. Полученные результаты позволили установить фактические значения режимных параметров, при которых значения энергоемкости и мощности примут рациональные величины, что позволяет установить эффективность предложеннойконструкции машины, тем самым, полностью механизировать процесс удаления ипогрузки почвы в теплицах. Growing vegetables in greenhouses allows having frequent harvests and provides the population with fresh produce year-round. Nowadays, especially with the development of organic farming, along with hydroponic farming, soil technology is widely used, plants being grown on specially prepared soil mixtures consisting of natural components. The use of this technology involves the periodic replacement of the upper (sanitary) soil layer in greenhouses. There are practically no specialized machines for performing the operation to remove the sanitary layer, and unadapted machines and equipment are used to perform this technological operation on farms. To perform this operation, a new design of a trailed machine for removing and loading soil has been proposed. The results of experimental studies of the influence of operating parameters on the energy intensity of the process of removing and loading soil are presented, and the nature of the dependence of the power required to drive the machine on operating parameters has been established. The results obtained made it possible to establish the actual values of the operating parameters at which the values of energy intensity and power take rational values, which makes it possible to establish the effectiveness of the proposed machine design, thereby completely mechanizing the process of removing and loading soil in greenhouses.

Organizational learning and bureaucracy: an alternative view

Purpose This paper aims to reconceptualize the relationship between organizational learning and bureaucracy. Although the two are generally considered to be antithetical, this paper shows that, in some organizations, bureaucracy can be functional for organizational learning. Design/methodology/approach The central argument is theoretical and builds on two main ideas: firstly, the nature of knowledge creation and organizational learning is conditioned by the organization’s main technological characteristics; and secondly, bureaucracy has a dual nature as an instrument of managerial control and as a vehicle of large-scale collaboration. This study uses examples from process industries as empirical illustrations. Findings As products and production systems come to embody deeper and more diverse knowledge, their development takes on an increasingly collaborative character. The need to integrate differentiated knowledge and material artefacts calls for specialization, formalization, centralization and staff roles. Hence, technological complexity drives a bureaucratization of organizational learning. Research limitations/implications The core argument is developed with reference to industries where organizational learning involves the accumulation of knowledge, not its periodic replacement associated with technological shifts. Its relevance outside these industries remains to be assessed. Practical implications Organizations, whose knowledge creation fits the pattern of creative accumulation, should learn to harness formal structures for large-scale collaboration. Originality/value The main thesis runs counter to mainstream perspectives on organizational learning. This paper explores organizational learning in sectors that have received little attention in debates about organizational learning.