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A new Heuristic Method RPW Method and Genetic Algorithm Techniques (Hybrid Method) for Evaluating Multi Product Assembly Line Balancing – A Case Study

Vol 5 , Issue 2 , April - June 2017 | Pages: 129-134 | Research Paper  

https://doi.org/10.51976/ijari.521723

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Author Details ( * ) denotes Corresponding author

1. * Ashutosh Kumar, Department of Mechanical Engineering, Krishna Engineering College, Ghaziabad, Uttar Pradesh, India (ashume2007@gmail.com)
2. Hukam Singh, Department of Mechanical Engineering, Krishna Engineering College, Ghaziabad, Uttar Pradesh, India
3. Ashutosh Kumar Rai, Department of Mechanical Engineering, Delhi Technological University, Delhi, India
4. Avnish Kumar Shukla, Department of Mechanical Engineering, Krishna Engineering College, Ghaziabad, Uttar Pradesh, India

Assembly line production is one of the widely used production systems. The problem of Assembly Line Balancing deals with the distribution of activities among the workstations which lead to the maximum utilization of Human Resources and facilities without disturbing the work sequence. The problem is motivated by a vehicle-sequencing problem at an Automobile company, Gurugram. A new Heuristic Method i.e. RPW Method and Genetic algorithm techniques(hybrid method) for the Type-I of Multi Product of Assembly Line Balancing Problem(MALBP) have been used. The hybrid method has been developed which is based on the heuristic rules and formulae. The programme is coded in C#(C Sharp). The hybrid method was gave good solutions for straight line balancing problem. The present work of case study provided new knowledge to develop a better tool of assembly line balancing to solve real world problems more efficiently at the shortest possible time and it leads to increase line efficiency and production rate by reducing the number of workstations and also reducing balance delay and smoothness index.

Keywords

Assembly Line; Assembly Line Balancing Technique; Heuristic Method of Assembly Line balancing.


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