Economics Analysis for Vehicle Assembly Using Artificial Intelligence

The occupation of ergonomics in the manufacturing workplace and on the Assembly line flow is a unfavorable issues which needs to be addressed in order to the avoid workplace injuries and prevent work action which leads to long term medical problem for the workers. In 1990 the Ford motor company established or implemented the application in which they handle artificial intelligence Technology for inspection of potential ergonomics issues have to do before the work instructions into the Assembly plant the manufacture of motor vehicles is a complicated and high powered problem and the worth related to be workplace irrecoverable productiveness because of bad ergonomics design will be very sententious. We added to different ergonomics analysis system that has been integrated into the process planning for manufacturing system at Ford and global study and process allocation system. GSPAS became the Global depot for standardized engineering process and data for assembling all for vehicles including part tools and standard labor time. Another complicated benefit of GSPAS as is the use of control language which is also known as the standard language. Standard language is a Ford specific restricted exercise of English that is used to describe the vehicle assembly process at Ford Motor Company this language is used as the input to the artificial intelligence component of the Global study process allocation system. Potential ergonomics is written in standard language which was read by the artificial intelligence system and used to generate work assembly instructions which was introduced in North America. The work report here allow how we assemble upon preceding outcome with artificial intelligence to elaborate the technology into the new region of Economics analysis.

Introduction

At the 6th annual applied economics conference held in Dallas TX in March of 2003, The Institute of Industrial engineers IIE awarded the ERGO CUP training education to Ford motor company. We have been beneficially implement Artificial Intelligence and other intelligence techniques with Ford vehicles operation since 1990. In this application it is mostly with the planning and configuring of vehicle assembly process planning. In this process sheets are written in free form text which caused major problems because of ambiguity and lack of consistency. The use of control language has disqualify almost all ambiguity in process sheet instruction and has created as standard format for writing process sheet across the Corporation which create work allocations for the plant fruit and to estimate level time accurately. This system is also known as the Direct labor management system that is the system is based on Knowledge that occupied semantic network knowledge representation schemes DLMS using techniques from control Language Processing instructions logics and classified based reasoning to generate detailed plan through assembly instruction from high level processes destruction this system is also provide us detailed estimate of the labor content that is required from this process description. This involved in the progress and preservation of large-scale knowledge bases on ontology has made us to apply this technology to other complicated areas within manufacturing.

Uses of artificial intelligence Technology:

The economics investigation tool is used at fault makes use of the following artificial Technologies description logics natural language processing and rule based processing

The height of our artificial intelligence system is knowledge base that occupy are semantic network model to represent all of the automobile assembly planning information the use of First 70 network as a part of knowledge representation system is also known as the description logics description logic implementation known as the Classic has been successfully used to develop telecommunication equipment configurator.

Application use and payoff:

The ergonomics determination tool has been occupied at Port for approximately 2 years. The Smash up of this system can be sum up as follows:

• The industrialization of the ergonomics red Converting interrupted over 1100 process sheets with potential ergonomic trouble from reaching the assembling plant
• The industrialization of the ergonomics warning processing reduce the work conditions of the ergonomics engineers by 20%.
• The engineer that would be wrote the process sheet became aware of Economics occupation and started writing their process sheets to address this occupation before they were flagged by the system
• Ergonomics is a necessary occupation to both ford and the UAW.

They give us the quantifiable benefits of the system that include the cost saving over 17th million dollars in term of avoiding injuries was associated with the red triggers as well as reduce the number of warning triggers that premier Rebel to been manually inspected by 20%. The scope of the artificial intelligence for the ergonomics engineer is that can make their job easier and improve the efficiency of the plant. The benefit of the system both quantifiable and indirect, were primeval higher than the development cost and system has been a very successful mechanical application of artificial intelligence.

Application development and deployment:

The artificial intelligence development for our applications here at what manufacturing engineering system is based on the platform utilizing the less work and knowledge work tools. We have found that this tool provide a flexible and powerful development environment while providing access to all Oracle database tool and SQL, flight then we can say that this tool provides the capability to create a graphical user interface through the CLIM package and easy communication to other systems and platforms. Our artificial intelligence system makes thousands of database transaction every day and this is all accomplished with an average response time of about 8 seconds for each artificial intelligence process sheet validation.

The development of the economic analysis system for process validation took about two month with our team of to developers as well as additional time provided by the ergonomics specialist. The artificial intelligence system range the required information from an Oracle database does the required processing and write the result back into the Oracle database.

Maintenance of the system is made much easier and simpler by the use of knowledge base that uses a description logic framework. We also develop a suite of regression. In addition we can say that the knowledge based content based in added checking functionality that validates the entire that are being edited to specific slot and attributes for different classes of concepts.

Conclusion

In conclusion it can be said that we defined two different applications of ergonomics analysis that are associate within the ford. There is no query that Ergonomics is a complicated factor in manufacturing and essential to be addressed at the primeval period available. We described this application of ergonomics analysis within the process planning region at fort where it available to evaluate the Assembly work before it grasp the Assembly floor for potential is ergonomics abuse. This ergonomic investigation of process sheet determinate doubt involvement in the area of repetition insistent issues, extreme tool revolution and vanish of heavy parts without some form of mechanized vanish collabration. In the future we project to raise the achievement of the current system with further division comparable and diffuse the economic analysis to snap other types of potential trouble.

Acknowledgement

It gives me great ecstasy my pleasure to convey my Deep and sincere thanks to my teacher Sir Dawood Idrees for his kind support which help to complete the research paper successfully.

I would like to thank the following people for their knowledge and expertise in developing this system.