scholarly journals REDESIGNING ASSEMBLY LINE BY APPLYING RANKED POSITIONAL WEIGHT AT HEAVY-INDUSTRIAL FACILITY

2020 ◽  
Vol 18 (2) ◽  
pp. 133
Author(s):  
Hery Hamdi Azwir ◽  
Adji Fadjriawan Nugraha
Keyword(s):  
Assembly Line ◽  
Industrial Facility ◽  
Positional Weight

scholarly journals Increasing The Efficiency of The Cub Engine Assembly Lines In The Automotive Industry Using Ranked Positional Weight

2018 ◽  
Vol 218 ◽  
pp. 04028
Author(s):  
Inaki Maulida Hakim ◽  
Syarafi Auzan Mu’min ◽  
Rolina Oktapiani Zaqiah
Keyword(s):  
Production Process ◽  
Automotive Industry ◽  
Manufacturing Industry ◽  
Assembly Line ◽  
Consumer Demand ◽  
Assembly Lines ◽  
Production Flow ◽  
Subsequent Increase ◽  
The Right ◽  
Positional Weight

In this modern era, the competition among the manufacturing industry, especially in the automotive sector will become increasingly tight which causes companies need to innovate so that satisfaction of the consumer can be maintained. The production process will be an important aspect in the automotive industry to maintain the quality of products and ensure consumer demand can be fulfilled. The problems that often occur in the production process is in the form of production flow constraints caused by workload unbalanced in the assembly lines. The imbalance causes the assembly lines do not run in a cycle time that is determined, so that consumer demand can not be meet in the right amount and companies need to spend more to mitigate them. Therefore, this study was conducted to balance workload on the assembly line by using line balancing form Ranked Positional Weight (RPW) with a subsequent increase in the efficiency and productivity of assembly line that affect production process runs without any contraints.

Assembly Line Re-Balancing Using Ranked Positional Weight Technique and Longest Operating Time Technique: A Comparative Analysis

2013 ◽  
Vol 824 ◽  
pp. 568-578 ◽  
Author(s):  
Ralph O. Edokpia ◽  
F.U. Owu
Keyword(s):  
Large Scale ◽  
Assembly Line ◽  
Production Systems ◽  
Operating Cost ◽  
Operating Time ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Single Model ◽  
Minimum Number ◽  
Positional Weight

Assembly line balancing is an attractive means of mass manufacturing and large-scale serial production systems. Traditionally, assembly lines are arranged in straight single-model lines and the problem is known as Simple Assembly Line balancing problem (SALBP). In this study, two heuristic assembly line balancing techniques known as the Ranked Positional Weight Technique, and the longest operational time technique, were applied to solve the problem of single-model line balancing problem in an assembling company with the aim of comparing the efficiencies of the application of the two algorithms. By using both methods, different restrictions were taken into consideration and two different lines balancing results were obtained. From the results obtained, Longest Operating Time Technique has higher line efficiency (85.16%) as compared to Ranked positional weight technique (79.28%) and it is easy to apply. The LOT technique gave the minimum number of workstations (27) as compared to the RPW technique (29); however the line efficiency and the number of workstation of the existing line are 74.67% and 31 respectively. This implies that the LOT technique has a better reduction in operating cost.

An Effective Grouping Evolution Strategy Algorithm Enhanced with Heuristic Methods for Assembly Line Balancing Problem

2019 ◽  
Vol 18 (03) ◽  
pp. 487-509
Author(s):  
Mazyar Ghadiri Nejad ◽  
Ali Husseinzadeh Kashan
Keyword(s):  
Assembly Line ◽  
Group Structure ◽  
Heuristic Method ◽  
Assembly Line Balancing ◽  
Evolution Strategy ◽  
Line Balancing ◽  
Test Problems ◽  
Production Volume ◽  
Assembly Line Balancing Problem ◽  
Positional Weight

Assembly line balancing problem (ALBP) is an allocation of given tasks to the workstations in a way that the number of workstations or the idle times of workstations get minimized. ALBP is a well-known problem in mass-production systems with high production volume and low diversity. In division and grouping allocation problems like ALBP, metaheuristic algorithms based on group structure, i.e. grouping genetic algorithm, are more efficient. The aim of this study is developing a new solution procedure to minimize the number of workstations for a given cycle time based on grouping evolution strategy. A modification of the ranked positional weight method is proposed to construct the initial solution, and a new heuristic method based on a modified version of the COMSOAL method is provided to tighten the solution after performing the mutation operator. Different strategies based on line efficiency and line smoothness indexes are considered to select the best result and transfer it to the next generation. Moreover, to evaluate the performance of proposed algorithms, some well-known standard test problems are utilized. Computational results indicate that the proposed solution algorithm performs efficiently and can obtain the optimal global solution in most of the high dimensional problems.

Implementation of ranked positional weight method (RPWM) for double-sided assembly line balancing problems

2017 ◽  
Author(s):  
M. F. M. A. Hamzas ◽  
S. A. Bareduan ◽  
M. Z. Zakaria ◽  
S. Ghazali ◽  
S. Zairi
Keyword(s):  
Assembly Line ◽  
Assembly Line Balancing ◽  
Line Balancing ◽  
Weight Method ◽  
Positional Weight

scholarly journals Development of a Manual Assembly Line for a 950kw Single Stroke Generator

2017 ◽  
Vol 1 (2) ◽  
pp. 214-221
Author(s):  
M. H. Oladeinde ◽  
R. O. Edokpia
Keyword(s):  
Measurement Technique ◽  
Assembly Line ◽  
Line Balancing ◽  
Assembly Process ◽  
Manual Assembly ◽  
Part List ◽  
Work Measurement ◽  
Stop Watch ◽  
Balancing Efficiency ◽  
Positional Weight

In this paper, a manual assembly line for the assembly of a 950KW gasoline generator has been designed. A part list of a purchased generator was generated after the machine was disassembled. Work measurement technique was used to generate an assembly process for the machine. The duration for assembly of each component was obtained using stop watch and then standardized. The cycle time of the manual assembly line was determined and subsequently, the distribution of load amongst the ten station line was balanced out using the ranked positional weight technique. Computations reveal that a fairly high labour efficiency of 0.804 is obtained. The line balancing efficiency obtained equal 0.849 implying a balance delay of 0.151.

scholarly journals Analysis and Improvement of Assembly Line: A Case Study at Automobile Rear-Axle Assembly Line-A PT. ZYX

2020 ◽  
Vol 19 (1) ◽  
pp. 95-107
Author(s):  
Prasti Amanda Larasari ◽  
Prianggada Indra Tanaya ◽  
Yuki Indrayadi
Keyword(s):  
Cycle Time ◽  
Assembly Line ◽  
Discrete Event ◽  
Simulation Method ◽  
Line Balancing ◽  
Event Simulation ◽  
Positional Weight ◽  
Region Approach ◽  
Selection Of

This paper explains the improvement of PT ZYX's productivity on the assembly line-A, using the production line balancing method. Four methods of line balancing were examined, namely, Ranking Positional Weight (RPW), Region Approach, J-Wagon and Kaizen. The selection of the most suitable method is made based on the reduction of number of workstation and cycle-time. Based on the result. Kaizen method shows better total cycle time, number of workstation, and number of operator required. This result is simulated using the 'Tecnomatix' software with the DES (Discrete Event Simulation) method.

An Improved Two-Sided Assembly Line Balancing Algorithm Based on Heuristic Rules

2013 ◽  
Vol 404 ◽  
pp. 758-763
Author(s):  
Yan Gao ◽  
Tian Xiang Chang ◽  
Yang Yang Wang ◽  
Yao Liu ◽  
Hong Yan Quan ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Optimal Solution ◽  
Line Balancing ◽  
Heuristic Rules ◽  
Positional Weight ◽  
Task Assignments ◽  
Improved Algorithm

According to Assemble line balancing (ALB) problem which is widespread in manufacture, we establish a mathematical model and present our improved algorithm that is based on Heuristic rules, which adopt cumulative ranked positional weight as a basis of task assignments and schedule the orders of branches traversal. After that we can find an optimal solution to the balancing problem efficiently. The result of examples given by this paper shows our algorithm has a good performance.

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