scholarly journals A CASE STUDY ON IMPROVING THE PRODUCTIVITY USING IE TOOLS

2013 ◽  
pp. 249-252
Author(s):  
BHAVIK SHAILESHKUMAR SHETH ◽  
TANMAY SWAROOP ◽  
RABINDER HENRY
Keyword(s):  
Production Line ◽  
Assembly Line ◽  
Mixed Model ◽  
Assembly Line Balancing ◽  
Value Added ◽  
Work Load ◽  
Performance Measure ◽  
Line Balancing ◽  
Mixed Model Assembly Line ◽  
Mixed Model Assembly

Assembly line balancing has been a focus of interest in Industrial Engineering for the last few years. Assembly line balancing is the problem of assigning tasks to workstations by optimizing a performance measure while satisfying precedence relations between tasks and cycle time restrictions. Line balancing is an important feature in ensuring that a production line is efficient and producing at its optimum. The process of Line balancing attempts to equalize the work load on each workstation of the production line. Mixed model assembly lines are increasing in many industries to achieve the higher production rate. This study deals with mixed-model assembly line balancing and uses Yamazumi chart to break down the work element in to the value added & Non-value added part to reduce the waste & increase the productivity.

Recent trend in mixed-model assembly line balancing optimization using soft computing approaches

2019 ◽  
Vol 36 (2) ◽  
pp. 622-645 ◽  
Author(s):  
Muhamad Magffierah Razali ◽  
Nur Hairunnisa Kamarudin ◽  
Mohd Fadzil Faisae Ab. Rashid ◽  
Ahmad Nasser Mohd Rose
Keyword(s):  
Assembly Line ◽  
Mixed Model ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Research Trend ◽  
Content Type ◽  
Publication Number ◽  
The Future ◽  
Mixed Model Assembly Line ◽  
Mixed Model Assembly

Purpose This paper aims to review and discuss four aspects of mixed-model assembly line balancing (MMALB) problem mainly on the optimization angle. MMALB is a non-deterministic polynomial-time hard problem which requires an effective algorithm for solution. This problem has attracted a number of research fields: manufacturing, mathematics and computer science. Design/methodology/approach This paper review 59 published research works on MMALB from indexed journal. The review includes MMALB problem varieties, optimization algorithm, objective function and constraints in the problem. Findings Based on research trend, this topic is still growing with the highest publication number observed in 2016 and 2017. The review indicated that the future research direction should focus on human factors and sustainable issues in the problem modeling. As the assembly cost becomes crucial, resource utilization in the assembly line should also be considered. Apart from that, the growth of new optimization algorithms is predicted to influence the MMALB optimization, which currently relies on well-established algorithms. Originality/value The originality of this paper is on the research trend in MMALB. It provides the future direction for the researchers in this field.

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