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Project management based on ISO 21500, to improve productivity in the industry
No full textThe ISO 21500 standard provides guidance on project management principles and procedures with the objective of improving project management performance. establishing principles and guidelines to carry out a project effectively and successfully, using a methodology in the process to analyze productivity in its three dimensions; efficiency, effectiveness and effectiveness of the industrial company, the results regarding Project Management indicate that 65,90 % have managed to apply the standards of the norm, 22,7 % are in process and 11,4 % are in the beginning, Regarding Productivity, 59,1 % has been achieved, 31,8 % in process and 9,10 % in the beginning. The results indicate that the majority have managed to achieve a satisfactory level of productivity. It can be fundamentally shown that there is an improvement in productivity when carrying out good project management. Likewise, indicate that there is a direct and highly significant relationship between Project Management and productivity, according to the Rho Spearman Test statistic (0,956) and the Significance =0,000 < 0,05 between both variables. The ISO 21500 standard is recognized globally and uses a common language that is easy to understand, transcending country border
Ocrelizumab and its role in the treatment of multiple sclerosis: A systematic review of the literature
Get PDFIntroduction: multiple Sclerosis is an autoimmune, chronic, progressive disease of the central nervous system that affects the myelin sheaths, producing a dysfunction in the nerve impulse, it is one of the main causes of neurological disability in young adults. Unfortunately, there is no cure for this disease, but there are many treatments to mitigate the outbreaks and progression of the disease. One of the promising drugs is ocrelizumab, a humanized monoclonal antibody against the CD20 antigen of B cells that has recently been approved by the US (Food and Drug Administration) and European (European Medicines Agency) health agencies for the treatment of sclerosis. multiplex (MS) and is the first drug to be marketed for both relapsingremitting MS (RRMS) and primary progressive MS (PPMS).
Material and methods: a bibliographic search will be carried out in the different scientific databases, in order to investigate the role of ocrelizumab in the treatment of Multiple Sclerosis.
Conclusion: MS is a disease that so far has no cure; however, a wide range of treatments are available that must be chosen according to the patient and his need. Within the vast range of treatment arises monoclonal antibodies that are specialized glycoproteins that are part of the immune system, produced by B cells, with the ability to recognize specific molecules (antigens). They are among the most promising agents for the treatment of MS. The most Used is ocrelizuma
Is artificial intelligence really influencing the marketing strategies and consumer behaviour?
Get PDFPurpose: the main aim of this research is to measure the influence of different components of artificial intelligence and marketing strategies pursued by the consumers. The research is to identify the impact of different components artificial intelligence on consumer behaviour. The sales forecasting method is found with this much successful through the technology and innovations of artificial intelligence in the marketing domain.
Design / Methodology: the comprehensive framework for evaluating the quality of website design was subsequently accompanied by the collection of data through a web-based survey. The researcher is able to obtain 452 responses which can be used for the main study research and used confirmatory factor analysis and linear multiple regression analysis.
Findings: it is found from the study that the artificial intelligence and its generated suggestions in the marketing Arena is found very much useful for both marketers as well as the consumers. As far as the marketers are concerned the artificial intelligence is very much useful for them to exactly measure and also to get a projective figure of their business turnover in volume. The sales forecasting method is found with this much successful through the technology and innovations of artificial intelligence in the marketing domain.
Practical Implications: this empirical study paved the way to identify and implement several marketing implications useful for the marketers as well as the consumers in different demographic background. It is suggested that the marketers should get a complete data in the form of profiling the consumers, demographic background and their purchase details and technological knowledge so that they can generate appropriate artificial intelligence solutions to attract the consumers and motivate them to make their next purchase within the short span of time.
Originality/Value: the artificial intelligence can also optimize the advertisement campaigns, preserving profile of consumers, quick communication to the consumers, clarity in the marketing approach and to take independent autonomous marketing decisions with respect to consumer behaviou
Evaluating the quality of website design aspects and its effect on functional perspectives using Smart-PLS in Web-based apparel shopping environment
Get PDFPurpose: the necessity for e-commerce business to adopt customer-centric tactics in addition to retail strategies for the growth of e-commerce business is required. The primary objective of this study is to develop an effective measurement scale for assessing the quality of website design and its effect on functional benefits in web-based apparel shopping.
Design/ Methodology: the comprehensive framework for evaluating the quality of website design was subsequently accompanied by the collection of data through a web-based survey. The structured questionnaire had a total of 500 consumers of e-commerce websites. Using structural equation modelling (SEM) within the Smart-PLS software to investigate the research\u27s hypotheses.
Findings: the data analysis findings suggest the influence of these website design elements on the performance of e-commerce companies. With the analysis of the Smart-PLS there is substantial positive impact of Website aesthetics (WA-EC), Website personalization (WP-EC), and Price Offerings (PO-EC) on Website design quality (WDQ-EC). Additionally, it is worth noting that the quality of website design has a positive effect on the functional benefits experienced by consumers. More studies can be conducted to explore the realm of mobile commerce and its associated factors pertaining to mobile design in future.
Practical Implications: the results of this study provide valuable insights for web-based service managers seeking to enhance their understanding of the factors influencing website design quality and the relative importance of each dimension in delivering functional benefits especially in apparel sector. By leveraging these findings, managers can effectively enhance the website design quality of e-commerce websites, aligning it with current market developments, and ultimately contribute to the retention of consumer values.
Originality/Value: an empirical model which shows the determinants of WDQ-EC. To the best of the authors’ knowledge, a WDQ-EC framework is modelled considering a specific combination of exogenous variables especially in apparel websites, which is not done by past researcher
Role of yogic practice influence the psychological factors in the development of women sports
Get PDFThe involvement of women in sports in India is generally low owing to a dearth of spectator interest and inadequate coverage of women\u27s sports. Factors such as women\u27s limited access to education, societal perceptions of women in sports, self-esteem, self-confidence, menstruation abnormalities, self-image or body image, gender role orientation, and competitiveness should all be taken into account. Yoga is sometimes seen as not being a sport, although it is really a physical exercise that follows rules, can be done competitively, and has measurable outcomes. Multiple reasons contribute to the low engagement of women in sports throughout society. Family has a profound impact, often initiating early engagement in sports, although this differs according to gender. Female participation in sports is often seen unfavorably. Societal attitudes and biases are another factor that impacts sports participation. For instance, many girls refrain from engaging in certain hobbies out of concern that they would be seen as masculine. This is because societal attitudes and biases about sexuality hinder females from participating. Female athletes possess psychological traits that include gender role orientation in several sports, including wrestling, weight lifting, and bodybuilding. These activities have traditionally been deemed unsuitable for women due to the possible adverse consequences of masculinization. Intensive training contributes to the improvement of self-esteem, self-image, and body image. Engaging in athletic activities also aids in the promotion of positive body image. It enhances body contour and promotes a harmonious physique, thereby enhancing self-perception. Yoga enhances strength, flexibility, and balance, all of which are vital for athletes. The majority of yoga postures are essential for enhancing strength, improving the range of motion, mobility, and coordination in athletic performance, as well as preventing injurie
Numerical Analysis of the Effect of Coefficient of Friction on the Formability Behaviour of Aluminium AA1060 in the Stretch-Forming Process
Get PDFIn sheet metal forming processes, the success of the forming process depends on several primary parameters such as the geometry of the tool, Sheet Material Properties, and the Friction in the contact area (tool/workpiece interface). In addition, the process parameters like punch crosshead, deformation temperature, surface roughness of both punch head and sheet blank, lubricant state, and the value of the applied load. Friction in the actual contact area plays a significant effect in obtaining a high-quality part and reducing the production cost. The study provides a new idea to specify the suitable Coefficient of Friction (COF) used when forming Aluminium AA1060, taken according to Coulomb’s Friction Law and Stribeck Diagram for different lubricant states. The methodology of this research is based on the finite element analysis using ABAQUS/CAE 2020 of the Nakajima Formability Test for different Coefficients of Friction (COF) that are taken from Stribeck’s Diagram according to sheet material type, where the suitable Coefficient of Friction (COF) that achieves ISO 12004-2 condition to consider the sheet material successful in the test and valid for use in the manufacturing process. Results show that the Coefficient of Friction (COF) significantly affects the Formability behaviour and specifies the Location of Tearing (crack), where at higher (COF), the Formability of Aluminium AA1060 is decreased. The Tearing (crack) occurs near the circumference of the sample. Consequently, the sample was considered failed in the test and invalid to use in manufacturing processes. At the same time, when (COF) is low, the Formability of the sheet material increases, and tearing occur near the centre of the sample apex, so the sample is considered successful in the test and valid to use in the manufacturing process according to ISO 12004-
Modeling of Automobile Assembly Line Performance Using ARENA Simulation Software
Get PDFDue to the intense competition in today\u27s business environment, companies must continuously analyze and enhance their existing manufacturing systems. Discrete event simulation, which is especially helpful for simulating queuing systems, involves describing the system as it evolves. The building and study of a simulation model of an existing production line are the main topics of this paper. The findings demonstrate that the current system\u27s throughput is low due to bottlenecks, extended processing times at workstations, and inefficient resource utilization, all contribute to productivity losses in automotive assembly lines. This paper aims to evaluate the efficiency of the production line performance of automobile assembly lines using Arena modeling and simulation. Data provided by the company\u27s management is utilized to calculate the processing time and standard time for each step in the production line. Additional information is gathered through direct observation of the assembly line. A car assembly manufacturing line was selected as a case study, and Arena 16.0 software was employed for basic modeling and analysis to achieve these objective
Finite Element Modeling to Predicting Rutting in Flexible Pavements under Overloading
Get PDFRoad infrastructure is seriously threatened by heavy vehicle overloading, causing substantial damage, particularly rutting. This study uses advanced finite element analysis (FEA) techniques to improve pavement performance prediction. Six models were created using the ABAQUS/CAE program to evaluate the rutting performance of flexible pavement under overloaded conditions. These models simulated the existing pavement design and a proposed design, each subjected to three axle load configurations: single axle-single tire, tandem axle-dual tire, and tridem axle-dual tire. The research includes conducting surveys on traffic volume and axle load, to precisely evaluate the current traffic situation and identify problems associated with overloading. Core extractions enabled a thorough comparison of the existing pavement\u27s thickness, density, and material characteristics with the proposed design. Based on these findings, a new design for a flexible pavement was developed, focusing on enhancing its ability to withstand rutting. The analysis determines that the existing pavement cannot withstand overloading vehicles, necessitating a 6,67 % increase in the thickness of the surface, a 37,5 % increase in the thickness of the binder, a 50 % increase in the thickness of the base, and a 32 % increase in the thickness of the subbase layers. Significantly, these modifications and improvements to material qualities were discovered to effectively decrease rut depth, an important factor in the durability and performance of pavemen
Risk of musculoskeletal disorders due to forced postures in a metalworking company
Get PDFIntroduction: musculoskeletal disorders (MSDs) range from acute injuries to disabling diseases, generating persistent pain, loss of functional capacity and even sick leave. Its high prevalence is associated with physical and postural factors, with forced postures, manual manipulation of loads and repetitive movements being the main triggers of these disorders. Due to the physical and postural demands, pain is especially prevalent in the back and extremities.
Methods: the study was correlational and cross-sectional in design, with a quantitative approach. The sample consisted of 12 workers from an automotive company, selected by non-probabilistic sampling. Data were collected through a questionnaire and the application of the OWAS Method to evaluate work postures. The observation of postures was carried out at four intervals during the work day. The relative frequencies were analyzed and the risks of the postures were classified.
Results: various musculoskeletal injuries were recorded, mainly contractures and tendonitis, with prevalent discomfort in the back, arms and legs. Most workers self-medicated to relieve pain. 37 work positions were identified, with a notable proportion of risk level 1 (65 %), followed by levels 2 and 3. A positive correlation (p=0,029) with a strength of 35 % was found between the risk level and the musculoskeletal disorders. No correlation was found between the level of risk and the duration of the injury.
Conclusions: the presence of the musculoskeletal disorder is related to the level of risk, so intervening in positions that suggest more risk would reduce the prevalence of the musculoskeletal disorde
Crop recommendation system and pest classification using weighted support vector machine on climate data
Get PDFIntroduction: the primary cause of the significant decline in crop productivity is farmers\u27 poor crop selection. A number of pests, including weeds, insects, plant diseases, and the poisonous nature of the most current remedies, offer challenges to the current approach. Therefore, for the most effective and precise classification and recommendations, these factors should be considered together.
Methods: levy flight Grey Wolf Optimization (LGWO) and the WSVM (Weight-Support Vector Machine) method are recommended in this research for the intention of upgrading the efficiency of the system as well as resolving the above-mentioned issues. A CRS (Crop Recommendation System) utilizing the LGWO-WSVM algorithm is to be developed in order to increase crop productivity. This study\u27s primary stages include crop suggestion, FS (Feature selection), and pre-processing. The KNN (K-Nearest Neighbour) technique is utilized for the pre-processing of the climatic dataset in order to accommodate incorrect values and missing variables.
Results: the best fitness values are utilized to identify more pertinent weather features. These chosen qualities are then applied to the categorization phase. In order to create a system which integrates the predictions of the LGWO-WSVM model to recommend an appropriate crop depends on the kinds of the particular soil and features having greater accuracy.
Conclusion: in order to get the best recommendation outcomes, it is also utilized to categorize the pest traits. The test outcomes indicate that the recommended LGWO-WSVM strategy overtakes the current methods by accuracy, precision, recall, and execution tim