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Optimization of assembly line balancing using genetic algorithm

Journal of Central South University 2015年第10期22卷 3957-3969页

作者： N.Barathwaj P.Raja S.Gokulraj School of Mechanical Engineering SASTRA University Rane (Madras) Ltd. Deputy Manager (Manufacturing Engineering System Design Department)

In a manufacturing industry, mixed model assembly line(MMAL) is preferred in order to meet the variety in product demand. MMAL balancing helps in assembling products with similar characteristics in a random fashion. The objective of this work aims in reducing the number of workstations, work load index between stations and within each station. As manual contribution of workers in final assembly line is more, ergonomics is taken as an additional objective function. Ergonomic risk level of a workstation is evaluated using a parameter called accumulated risk posture(ARP), which is calculated using rapid upper limb assessment(RULA) check sheet. This work is based on the case study of an MMAL problem in Rane(Madras) Ltd.(India), in which a problem based genetic algorithm(GA) has been proposed to minimize the mentioned objectives. The working of the genetic operators such as selection, crossover and mutation has been modified with respect to the addressed MMAL problem. The results show that there is a significant impact over productivity and the process time of the final assembled product, i.e., the rate of production is increased by 39.5% and the assembly time for one particular model is reduced to 13 min from existing 18 min. Also, the space required using the proposed assembly line is only 200 m2 against existing 350 m2. Further, the algorithm helps in reducing workers fatigue(i.e., ergonomic friendly).

关键词： optimization line balancing genetic algorithm product family assembly line

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Assembly line balancing Using Fuzzy Logic: A Case Study of a Tricycle Assembly line

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Open Journal of Optimization 2016年第2期5卷 59-70页

作者： Anthony I. Unuigbe Henry A. Unuigbe Eddy O. Aigboje Polycarp A. Ehizibue Department of Industrial and Production Engineering Ambrose Alli University Ekpoma Nigeria Lloyd’s Register EMEA (Nigeria) Ltd. Apapa Nigeria

The application of fuzzy logic in balancing a single model tricycle assembly line is presented in this study. MATLAB simulation software was used in the analysis of the primary and secondary data obtained from the assembly line under study. Results obtained from the study show that the efficiency of the line increased from 88.1% to 92.4%. The total idle time was also reduced by 56.5%. This indicates an improvement in the efficiency of the line, reduction of bottleneck, and even distribution of tasks along the line for the company under study.

关键词： line balancing Fuzzy Logic Efficiency Idle Time

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A survey on assembly lines and its types

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Frontiers of Mechanical Engineering 2014年第2期9卷 95-105页

作者： Ullah SAIF Zailin GUAN Baoxi WANG Jahanzeb MIRZA Shiyang HUANG HUST-SANY Joint Laboratory of Advanced Manufacturing Technology Huazhong University of Science and Technology Wuhan 430074 China

Assembly lines are useful for mass production of standard as well as customized products. line balancing is an important issue, in this regard an optimal or near optimal balance can provide a fruitful savings in the initial cost and also in the running cost of such production systems. A survey of different problems in different types of assembly lines and some of the critical and on going research areas are highlighted here. The provided research information is momentous for the research community in assembly line area to proceed further in the presented issues of assembly lines.

关键词： assembly lines line balancing survey

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