Table of ContentsIntroductionUses of Artificial Intelligence Technology:Application Usage and Profitability:Application Development and Deployment:ConclusionRecognitionOccupation Ergonomics in the manufacturing workplace and assembly line flow is an adverse issue that must be addressed in order to avoid workplace injuries and prevent workplace actions that lead to injuries. long-term medical problems for workers. In 1990, the automobile company Ford created or implemented the application in which it manages artificial intelligence. Inspection technology for potential ergonomic issues should be carried out before work instructions in the assembly plant. Automotive manufacturing is a complex, large-scale problem and one that is worth pursuing. Unrecoverable productivity in the workplace due to poor ergonomic design will be very punitive. We added different ergonomic analysis systems that were integrated into the process planning for the manufacturing system at Ford and into the overall process planning and allocation system. GSPAS has become the global repository of standardized engineering processes and data for the assembly of all vehicles, including parts tools and standard labor time. Another complex advantage of GSPAS is the use of a control language also known as a standard language. Standard language is a Ford-specific restricted English exercise that is used to describe the vehicle assembly process at Ford Motor Company. This language is used as input to the artificial intelligence component of the global study process assignment system. The potential ergonomics is written in a standard language that was read by the artificial intelligence system and used to generate work assembly instructions introduced in North America. The working report here explains how we build on previous results with artificial intelligence to develop technology in the new field of economic analysis. Say no to plagiarism. Get a custom essay on “Why Violent Video Games Should Not Be Banned”?Get the original essayIntroductionAt the 6th Annual Applied Economics Conference held in Dallas, Texas, in March 2003, the Institute of Industrial Engineers IIE awarded ERGO CUP training to Ford Automotive Company. We have been beneficially implementing artificial intelligence and other intelligence techniques in the operation of Ford vehicles since 1990. In this application, it mainly involves planning and configuring the assembly process of vehicles. In this process, the sheets are written in free text form, which poses major problems due to ambiguity and lack of consistency. The use of control language has disqualified almost all ambiguity in process sheet instructions and created a standard format for writing process sheets throughout the company, which creates work allocations for the fruits of plants and allows you to accurately estimate the level time. This system is also known as direct labor management system. The system is based on knowledge occupying knowledge representation schemes of the DLMS semantic network using control language processing instruction logic techniques and classification-based reasoning to generate a detailed plan through instruction instructions. 'assembly from high processeslevel. Destruction of this system also provides us with a detailed estimate of the labor content required from this process description. This involved in advancing and preserving large-scale ontology knowledge bases has led us to apply this technology to other complex areas of manufacturing. Uses of artificial intelligence technology: The economic investigation tool used in cases of misconduct uses the following artificial technologies. logical description natural language processing and rule-based processing The pinnacle of our artificial intelligence system is the knowledge base which occupies a semantic network model to represent the entire automobile assembly. planning information, usage of the First 70 network as part of the knowledge representation system is also known as description logic. The description logic implementation known as Classic has been successfully used to develop a telecommunication equipment configurator. Use and profitability of the application: The ergonomics determination tool has been in use at the port for approximately 2 years. The Smash up of this system can be summarized as follows: The industrialization of the processing of ergonomic alerts The conversion interrupted more than 1100 process sheets with potential ergonomic problems all the way to the assembly plant The industrialization of the processing of ergonomic alerts reduces the working conditions of ergonomic engineers by 20%. The engineer who would write the process sheet became aware of the economics profession and began writing his process sheets to address this profession before they were reported by the system. Ergonomics is a necessary profession for both Ford and the UAW. They give us quantifiable benefits. system which includes a savings of over $17 million in injury avoidance was associated with the red triggers as well as a 20% reduction in the number of warning triggers that the first Rebel had to be manually inspected . The interest of artificial intelligence for the ergonomics engineer is to facilitate his work and improve the efficiency of the factory. The benefits of the system, both quantifiable and indirect, were overwhelmingly greater than the cost of development and the system was a very successful mechanical application of artificial intelligence. Application Development and Deployment: The development of artificial intelligence for our applications is based on the manufacturing engineering system. on the platform using fewer work tools and knowledge. We have found that this tool provides a flexible and powerful development environment while providing access to all Oracle and SQL database tools. We can then say that this tool provides the ability to create a graphical user interface through the CLIM package and easy communication with others. systems and platforms. Our AI system performs thousands of database transactions every day and all of this is accomplished with an average response time of approximately 8 seconds for each AI process sheet validation. The development of the economic analysis system for process validation took around two months with our team. to developers as well as additional time provided by the ergonomist. The artificial intelligence system gathers the required information from an Oracle database, performs the required processing and writes the result back to the Oracle database. System maintenance is made much easier and simpler through the use of a database..