Automotive manufacturing has become less contained within an organization and more dispersed through outsourcing, the main challenge is that of ensuring quality adherence across the extended supply chain. This has the need for the large automakers to engage in greater collaboration in the design phase and provide visibility into internal operations. This paper discusses about the auto manufacture process flow and quality information classification in the four main manufacture processes. Due to global competition, companies have indeed emphasized that quality should have to be put in place, integrated into all aspects of products and services within their management system. Hence total quality management has become increasingly popular as one of the managerial devices in ensuring continuous improvement as to improve customer satisfaction and retention as well as to ensure its product or service quality. Importantly, employees are regarded as the most important entity in ensuring that total quality management can be carried out successfully in an organization.
This research focus on the dynamic analysis for inclined belt conveyor system. The aim of research is to improve the reliability and design level. This analysis is done by using Belt Analyst V18.1.6.0 software. This research presents an approach to estimate the velocity time of inclined belt conveyor. The simulations with finite element model are carried out to analyze the belt dynamic behaviors such as pulley resultant force, belt power, tension in transient operation. Further simulations are carried out to get the optimum velocity time for starting and stopping process. The maximum pulley resultant force is 1.4kN, the maximum belt power is 0.4kW and the maximum belt tension is 1.1kN for starting and stopping process. The maximum velocity for starting is 1.09m/sec and for stopping of the process 1.46m/sec by using Belt Analyst V18.1.6.0. The maximum velocity in running condition of belt conveyor system is 1m/sec by using theoretical calculation.
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