Tackling Means for Balancing the Production Lines

2011 ◽  
Vol 383-390 ◽  
pp. 4620-4628
Author(s):  
Olga Ioana Amariei ◽  
Codruţa Oana Hamat ◽  
Liviu Coman ◽  
Cristian Fănică ◽  
Cristian Rudolf

Balancing a production line means to organize the activity of the human operators, to establish the production flux and designing the line, minimizing the idle time for the machines and the operators, through an optimal charge bestowed upon them. WinQSB software offers three methods of solving this type of problem, namely: heuristic techniques (a basic method is specified and an alternative one from all the available ones), Optimizing Best Bud Search and Computer Method of Sequencing Operations for Assembly Lines, presented all in the present paper.

2021 ◽  
Vol 328 ◽  
pp. 05012
Author(s):  
Rachmad Hidayat ◽  
Shofi fitrotis Salimah ◽  
Moh. Jufriyanto ◽  
M.Firman Khaqiqi

The existence of operational balance in each production lines may decrease the idle time; it shows that the productivity is increasing therefore it increases the production rate. The issues existed in the production process of hollow Dakota 1730 in PT. XYZ were 3 departments, from the result of the first observation, there was a bottleneck from each department and each production did not achieve the required target. Therefore, this research would fix the production line. The method used was ranked /positional weight. Based on the data processing by the ranked positional weight method, gained the total of work station in the production process of hollow Dakota 1730 by the number of 2 work stations. From the result of efficiency balancing, gained 62.5% and balance delay value was 37.5%. it shows that the balance performance between each department increases significantly.


2021 ◽  
Vol 10 (2) ◽  
pp. 148
Author(s):  
Laszlo Marak

With the recent increase for demand of surgical masks, the design and development of mask production lines has become an ever pressing issue. These production lines produce low cost high quantity products. As there are errors during the production, it is important to be able to detect invalid masks to assure that the produced masks are of consistent quality. Manual quality assurance using human operators is an error prone and a costly solution. In this article we describe an image classification method, which is using a low-cost Commercial Camera System and relies on Haar-like features combined with Maximum Relevance, Minimum Redundancy feature selection to detect the invalid masks at the end of the production process. The classification method consists of Preprocessing, Feature Selection and SVM Training. We have tested the method on a database of 150 000 images and it provides a high accuracy method which we use in the Production Line.


2012 ◽  
Vol 9 (1) ◽  
pp. 33-45
Author(s):  
Siti Aisyah ◽  
Mediana Mediana

Smooth production in a manufacturing firm is very important because it will affect the outcome of which is the expected output of the production trajectory balance that existed at the company if it is optimal or not. The objectives to be achieved in this research is balancing production trajectory so that the expected target company can be reached, drink idle time, and improve the efficiency of the production trajectory.  At PT METBELOSA there are trajectories that have not been balanced by the production of idle time on the final line for assembling OB91Z 1.606149 minutes, balance delay in assembling the final line OB91Z by 29.75% and the efficiency in assembling the final line OB91Z of 70.25%, from Data collection on the final assembling line OB91Z also note that the company can not achieve the expected production targets every day as many as 1500 kwh meter OB91Z type. Therefore the company needs to make improvements in the balancing path to reach their intended target in the final assembling line OB91Z. The method used is a heuristic method MALB (Mansoor Aided Line Balancing) and heuristic methods COMSOAL (Computer Method for Sequencing Operations for Assembly Lines). The data used is data on the production process of assembling the final line OB91Z and the amount of labor in assembling the final line OB91Z. After making improvements by using heuristic methods MALB (Mansoor Aided Line Balancing) then the balance delay becomes 14.62% and 85.38% effeciency be.


2020 ◽  
Vol 38 (9A) ◽  
pp. 1283-1292
Author(s):  
Rasha J. Marzoog ◽  
Sawsan S. Al-Zubaidyb ◽  
Ahmed A. Alduroobi

Production Line Balancing (PLB) is the technique of assigning the operations to workstations in such a way that the assignment minimizes the idle time between workstations. PLB aims to equator the workload in each workstation to assure maximum production flow. By adding machine in specific configurations is one treatment which leads to this leveling in workload. This research studies the different efficiencies of the added machine and the effect of these efficiencies on line balancing to select the machine with suitable efficiency. This will be led to reduce the idle time between workstations and increasing production flow. The work time considered as the efficiency criterion for this case study. The study has been implemented on a dumb truck production line and resulted in increasing the line efficiency to 81.7%.


2021 ◽  
Vol 16 ◽  
pp. 155892502110548
Author(s):  
Hongxin Zhu ◽  
Kun Zou ◽  
Wenlan Bao

In recent years, a large number of automatic equipment has been introduced into the chemical fiber filament doffing production line, but the related research on the fully automatic production line technology is not yet mature. At present, it is difficult to collect data due to test costs and confidentiality. This paper proposes to develop a simulation platform for a chemical fiber filament doffing production line, which enables us to effectively obtain data and quantitatively study the relationship between the number of manual interventions and other process parameters of the production line. Considering that the parameter research is a multi-factor problem, an orthogonal test was designed by using SPSS software and was carried out by using a simulation platform. The multiple linear regression (MLR) and the neural network optimized by genetic algorithm were adopted to fit the relationship between the number of manual interventions and other parameters of the production line. The SPSS software was applied to obtain the standardized coefficients of the multiple linear regression fitting and the neural network mean impact value (MIV) algorithm was applied to obtain the magnitude and direction of the impact of different parameters on the number of manual interventions. The above results provide important reference for the design of similar new production lines and for the improvement of old production lines.


2016 ◽  
Vol 15 (2) ◽  
pp. 182
Author(s):  
SAIFUL .. ◽  
MULYADI HAMBALI ◽  
TRI MUHADI RAHMAN

PT XYZ merupakan salah satu perusahaan yang bergerak di bidang industri mebel. Masalah yang dihadapi perusahaan adalah adanya ketidakseimbangan di lintasan produksi akibat ketidakmerataan pembagian beban kerja di setiap stasiun kerja. Hal ini menyebabkan performansi keseimbangan lintasan (line performance) menjadi kurang baik. Untuk menyelesaikan permasalahan ini perlu dilakukan penyeimbangan lintasan produksi. Hal ini dapat dilakukan dengan metode line balancing yaitu metode penugasan sejumlah pekerjaan yang saling berkaitan dalam satu lintasan produksi sehingga setiap stasiun kerja memiliki waktu yang tidak melebihi waktu siklus dari stasiun kerja tersebut. Metode line balancing yang digunakan adalah metode heuristik yang terdiri dari: metode bobot posisi (Ranked Positional Weight), metode pembebanan berurut (Large Candidate Rule), dan metode pendekatan wilayah (Region Approach). Dari ketiga metode Heuristik yang digunakan sebagai solusi penyeimbangan lintasan, terjadi perbaikan performansi dengan nilai yang sama pada lintasan produksi. Nilai efisiensi lintasan (line efficiency) meningkat menjadi 94,07 % dari 62,71 % pada kondisi awal. Nilai keseimbangan waktu senggang (balance delay) turun menjadi 5,92 % dari 37,28 % pada kondisi awal. Waktu menganggur (idle time) turun menjadi 12,39 menit dari 116,87 menit pada kondisi awal. Nilai smoothness index juga turun menjadi 7,44 dari 64,67 pada kondisi awal. PT XYZ is one of the company which refers to furniture industries sector. The problem which faced by this company is unbalance of the production line which is caused by the unequal of work responsibility distribution in each work station. This problem caused the performance of line balance doesn’t work properly. To solve this problem we need to do the line balancing of production line. It can be done by line balancing methode that assigns a number of work which is related in one production line until each work station has efficient time which is not more than the cycle time of the work station. Line balancing methode that used is heuristic methode which is devided into ranked positional weight methode, large candidate rule methode, and region approach methode. From those three heuristic methode that used as solution of line balancing, there was improvement happenned with the same value in doors of production line. Line efficiency increased into 94,07% from 62,71% at the beginning condition. Balance delay increased into 5,92% from 37,28% at the beginning condition. The idle time descreased into 12,39 minutes from 116,87 minutes at the beginning condition. The smoothness index descreased into 7,44 from 64,67 at the beginning condition.


2013 ◽  
Vol 397-400 ◽  
pp. 2549-2552
Author(s):  
Jian Hua Yang ◽  
Yang Song ◽  
Zhi Chao Ma

A production line and its MRO for career apparel industry is studied. Some modular units well organized by the department of equipment are integrated into the production line, and the bottleneck tasks are adjusted by means of operations study techniques. The line is balanced by the lines balancing technology. A hybrid layout mode with production lines and modular units is given to provide efficient preparations of equipment and tools and easy maintenance plans.


2019 ◽  
Vol 132 ◽  
pp. 01022
Author(s):  
Joanna Stuglik ◽  
Zofia Gródek-Szostak ◽  
Danuta Kajrunajtys

The aim of the paper is to present the results of introducing the SMED method on one of the production lines in a selected production company. For the purposes of this study, a single bottling line for filling 200 ml and 250 ml glass bottles with carbonated drinks was selected. Upon analyzing the process of mixer washing in terms of time, it was shown that in individual steps, the total single washing time was 5 hours 3 minutes on average, which accounted for about 19% of the total retooling of the production line. However, after using the SMED method, this process has taken 3 hours 50 minutes. Thus, a saving of 1 hour 13 minutes was obtained after shortening the retooling, which allowed to extend the production process.


2013 ◽  
Vol 311 ◽  
pp. 226-231
Author(s):  
Ming Guo Her ◽  
Wen Jinn Liang ◽  
Kuan Wei Wu ◽  
Chun Chi Peng ◽  
Kuei Shu Hsu ◽  
...  

This research developed a vision navigation autonomous mobile robot and combined it with industrial automated production line. Due to traditional TFT-LCD production lines, the load/unload depends on Manual Guided Vehicle (MGV) or Automated Guided Vehicle (AGV). However, it needed to construct many tracks so that the MGV or AGV can move. The track is high cost and is not easy to adjust. Hence, our research developed an autonomous mobile robot with vision navigation technology to determine the location of TFT-LCD panel and the obstruction in the moving process. Furthermore, we successfully developed an intelligent vision navigation autonomous mobile robot in this research. It not only improved the shortcoming of setting up a lot of tracks, but also avoided the obstructions automatically to enhance the safety.


2018 ◽  
Vol 154 ◽  
pp. 01067
Author(s):  
Reno Dias Anggara Purba ◽  
M Iqbal Sabit ◽  
Joko Sulistio

Like manufacturing companies that have flowshop production lines, SME facing the amount of flow time and makespan. Unfulfilled production targets, buildup on some machines that result in other machines being idle, increasing waiting times across multiple machines, and poor performance of workers are a series of problems facing SME. This article uses a discrete system simulation method to analyze and evaluate SME production lines to improve performance. Simulation is an appropriate tool used when experiments are needed in order to find the best response from system components. From the results of modeling and simulation done found the root of the problem is due to accumulation that occurs in one machine and the lack of utility of the operator in producing bags. So do the experimental design with 3 scenarios on the system that have been modeled and obtained some solutions that can be offered to solve the problem. Furthermore, after the alternative selection is obtained the best scenario based on the alternative selection test is the scenario3 by adding 2 new machines and 1 new operator on the production line obtained a significant output increase compared to other scenarios of approximately 30%. While the best scenario based on the minimum cost is the scenario2 by adding 2 new operators obtained output that is not much different than the scenario3. However, it has not been able to solve a series of problems facing SME. Therefore, the results of this study to solve a series of problems faced by SME is to add facilities in the production line of 2 new machines and 1 operator (scenario3).


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