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Enhancing Sustainable Production Through Continuous Improvement: Evidence from Nigeria’s Manufacturing Sector
1-20Views:67The manufacturing industry in Nigeria has been the so-called cornerstone of economic development since the sector has continuously played a major role in providing jobs and industrial capital. However, there remain issues that impede its progress, including inefficient resource use, unstable regulatory systems, and the need to comply with international market requirements. Specifically, it examined the effect of employee engagement, process efficiency, and resource allocation on Nigeria’s manufacturing sector. A survey research design was adopted, with a total population of 117 employees across five manufacturing firms. A total of 91 participants were administered a structured questionnaire. Data collected was analyzed using PLS-SEM. Findings revealed that employee engagement has the strongest effect on sustainable production (β = 0.412, t = 6.250, p < 0.000), followed by resource allocation (β = 0.237, t = 3.610, p < 0.000), and process efficiency (β = 0.174, t = 2.877, p = 0.004). It concluded that continuous improvement is significantly vital for sustainable production in the five sugar manufacturing firms studied in Nigeria. It is therefore recommended that management of these selected firms focus on developing unique resource allocation strategies, employee engagement, and process efficiency to ensure sustained workforce improvement, thereby achieving sustainable production outcomes.
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Creativity and Innovation to Improve Processes in a Textile Industry
80-96Views:330In this scientific work, the My Creative Idea (MIC) program was created and developed in the Coteminas S.A. textile industry, distributed among the organization's units in the country with emphasis on the São Gonçalo do Amarante unit in the state of Rio Grande do Norte. The aim was to critically analyze the improvements of industrial-scale processes resulting from the creativity and innovation intrinsically incorporated and experienced daily in the program. Thus, the general objective of the work was to evaluate the improvements in the productive processes coming from an innovation program in a textile industry, considering as specific propositions with respect to calculating the gains with reduction of losses, cost of implementation of ideas and measure financial returns and evaluate employee satisfaction according to the program. Moreover, there was free access in the company to be able to collect valuable information that could formalize a robust database for later structuring of the document, as well as the application of action research in the form of questionnaires. Therefore, the results verified clarified and emphasized the program's aggregating character to the organization in a general way under aspects that approach the financial spheres, the quality, and the satisfaction and motivation of the employees involved in this whole scenario. I suggest continuing to work on a continuous improvement methodology to further enhance My Creative Idea over the years, as well as insert this method of work to units that have not incorporated this program into their business strategies.
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Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering
72-89Views:440The optimization of manufacturing and production processes with various computer software is essential these days. Solutions on the market allow us to optimize and improve our manufacturing and production processes; one of the most popular software is called Tecnomatrix, which is described in this paper. Tool condition monitoring is a vital part of the manufacturing process in the industry. It requires continuous measurement of the wear of the cutting tool edges to improve the surface quality of the work piece and maintain productivity. Multiple methods are available for the determination of the actual condition of the cutting tool. Vibration diagnostics and acoustic methods are included in this paper. These methods are simple, it requires only high sensitive sensors, microphones, and data acquisition unit to gather the vibration signal and make signal improvement. Extended Taylor equation is applied for tool edge wear ratio. Labview and Matlab software are applied for the measurement and the digital signal processing. Machine learning method with artificial neural network is for the detection and prediction of the edge wear to estimate the remaining useful lifetime (RUL) of the tool.
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Comparative Analysis of Equestrian Facilities in the North Great Plain Region
79-93Views:588Equestrian services appear in recreation, sports and tourism as well. The favorable natural and cultural values of Hungary and the image of the equestrian nation based on the traditions of the horse provide a favorable background for the development of supply elements. The lowland character and horse culture of the Northern Great Plain region, and the continuous development of horseback riding services here, reinforces the equestrian supply element in the field of sport and leisure. Our in - depth interviews were conducted among service providers with a “horseshoe rating” (N = 11) operating in the Northern Great Plain Region. The results show that all service providers consider and plan the development of equine, infrastructure and human resources, although the source of its financing is different (from state, other successful businesses, realized business results of equestrian enterprises). Equestrian service providers with no horseshoe rating have identified the improvement of quality, the 3, 4, and 5 horseshoe qualified service providers for the expansion of the complex program offering and product diversification.
