scholarly journals Evaluation of SME (Small Medium Enterprise) production system with discrete system simulation method

2018 ◽  
Vol 154 ◽  
pp. 01067
Author(s):  
Reno Dias Anggara Purba ◽  
M Iqbal Sabit ◽  
Joko Sulistio
Keyword(s):  
Production Line ◽  
Discrete System ◽  
System Simulation ◽  
Waiting Times ◽  
Minimum Cost ◽  
Poor Performance ◽  
Simulation Method ◽  
Manufacturing Companies ◽  
Production Lines ◽  
Best Response

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).

Simulation of Manufacturing Production Line Based on Arena

2014 ◽  
Vol 933 ◽  
pp. 744-748 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Saeed Rahimpour Golroudbary ◽  
Ahmad Hashemi ◽  
Jafar Afshar ◽  
Mohammadreza Haghighi
Keyword(s):  
Computer Simulation ◽  
Simulation Model ◽  
Production Line ◽  
Manufacturing Systems ◽  
Waiting Times ◽  
Controversial Issues ◽  
Manufacturing Companies ◽  
Total Cost ◽  
Manufacturing Line

One of the controversial issues in manufacturing systems is bottleneck. Managers and engineers are trying to find methods to eliminate the bottlenecks and waiting times in the production line. More over the manufacturing companies are striving to sustain their competiveness by decreasing the bottlenecks, total cost and increasing the productivity. The objective of this study is applying the computer simulation to analysis the production line bottlenecks. To achieve this goal a color manufacturing line was selected as a case study and the basic application of arena 13.9 software. Finally the some modifications in the simulation model are proposed to improve the production line as well as to decrease the bottleneck.

Comparison of Different Scenarios Using Computer Simulation to Improve the Manufacturing System Productivity: Case Study

2013 ◽  
Vol 845 ◽  
pp. 770-774 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Milad Hatami ◽  
J.M. Rohani ◽  
H. Mihanzadeh ◽  
Mohammadreza Haghighi
Keyword(s):  
Computer Simulation ◽  
Production Line ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Waiting Times ◽  
Manufacturing Companies ◽  
System Productivity ◽  
High Resource

In the manufacturing industry, managers and engineers are seeking to find methods in order to eliminate the common problems in manufacturing systems such as bottlenecks and waiting times. This is because that all of these kinds of problems impose extra cost to the companies. In addition, manufacturing companies are striving to sustain their competitiveness by improving productivity, efficiency and quality of manufacturing industry for instance high throughput and high resource utilization. The paper concentrates on the application of computer simulation to analysis manufacturing system in order to improve the productivity. Therefore, this study introduces a color manufacturing line as a case study and the basic application of arena 13.9 software. The goal of this paper is to improve the productivity and efficiency of the production line by using computer simulation. To achieve this goal, first the basic model of the current situation of production line was simulated. Second, three different alternatives were simulated and modified to find the best scenario based on the maximum productivity and minimum total cost.

scholarly journals Evaluation on performance and SME’s productivity with discrete system simulation approach

2018 ◽  
Vol 154 ◽  
pp. 01068
Author(s):  
M. Iqbal Sabit ◽  
Reno Dias Anggara Purba ◽  
Joko Sulistio
Keyword(s):  
Design Of Experiment ◽  
Discrete System ◽  
Aluminum Industry ◽  
System Simulation ◽  
Simulation Approach ◽  
Line Production ◽  
Best Response ◽  
System Components ◽  
Problem Design ◽  
A Company

Inventory becomes one of important aspects to identify whether a company has fulfilled the consumers’ demands or not. Shortage of stock, finished goods particularly could emerge the failure of accomplishing the target of consumers’ demand that could also lead to loss of sales. Therefore, it needs good inventory control. This paper is objected improve SME’s productivity by using the approach of discrete system simulation of aluminum industry that rapidly developed in Yogyakarta. Simulation is one of the appropriate tools for experiments that purposed to identify best response from system components. Based from Observation from line production, there are semi-finished products were not finished. Other than that the firm has no clue to solve the problem. Design of experiment and scenario are developed in a model that was built to obtain solution in enhancing the performance and productivity. As the result of initial performance that is not optimal, rescheduling on transporter schedule and the replenishment of machines and operators on the lathing process could be performed as improvements to enhance the productivity. This experiment can be used as the solution in improving the product’s output as 64.36%.

scholarly journals PEMODELAN DAN SIMULASI PENERAPAN ANTRIAN MULTIPHASE PADA ANTRIAN PEMBUATAN SIM PENGENDARA SEPEDA MOTOR DIPOLRES SIJUNJUNG

2019 ◽  
Vol 5 (1) ◽  
pp. 34
Author(s):  
Raja Ayu Mahessya ◽  
Rafki Dwi Putra ◽  
Jhon Veri
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Operation Research ◽  
System Simulation ◽  
Waiting Times ◽  
Simulation Method ◽  
Simulation Tool ◽  
Supply Chain System ◽  
System Analyst ◽  
The Needy

<p><strong>Abstra</strong><strong>ct</strong><strong> </strong><strong></strong></p><p>Promodel is a simulation tool designed for something fast but accurate model of manufacture system in all types, mainly supply chain system. Simulation is one way to solve many problems faced in real world. Many methods are built in Operation research and System Analyst for the sake of interest decision making using various data analysis. Problems that can be solved by simulation method one of them is Queuing, queuing is a condition where a bunch of people, components and machines requiring service must wait in a certain order before finally getting service. Long queue should be avoided because it will result in too long waiting times and will harm the needy, service. This queue simulation creation will be able to help certain parties to evaluate services to be more effective and efficient. </p><br /><p><strong>Abstrak</strong><strong> </strong></p><p>Promodel adalah alat simulasi yang dirancang untuk sesuatu yang<strong> </strong>cepat namun akurat model sistem pembuatan dalam semua jenis, terutama memasok sistem rantai. Simulasi merupakan salah satu cara untuk memecahkan berbagai persoalan yang dihadapi didunia nyata. Banyak metode yang dibangun dalam Operation research dan System Analyst untuk kepentingan pengambilan keputusan dengan menggunakan berbagai analisis data. Masalah yang dapat diselesaikan dengan metode simulasi salah satunya adalah Antrian, mengantri adalah kondisi dimana sekumpulan orang, komponen dan mesin yang membutuhkan layanan harus menunggu dalam suatu urutan tertentu sebelum akhirnya memperoleh layanan. Antrian yang panjang harus dihindari karena akan mengakibatkan waktu tunggu yang terlalu panjang dan akan merugikan pihak yang membutuhkan, layanan. Pembuatan simulasi antrian ini akan dapat membantu pihak tertentu untuk mengevaluasi layanan agar lebih efektif dan efisien.</p>

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
Keyword(s):  
Production Line ◽  
Idle Time ◽  
Computer Method ◽  
Basic Method ◽  
Assembly Lines ◽  
Production Lines ◽  
Heuristic Techniques ◽  
Human Operators

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.

scholarly journals Study on process of chemical fiber filament automatic doffing system based on simulation platform and machine learning

2021 ◽  
Vol 16 ◽  
pp. 155892502110548
Author(s):  
Hongxin Zhu ◽  
Kun Zou ◽  
Wenlan Bao
Keyword(s):  
Neural Network ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Production Line ◽  
Simulation Platform ◽  
Chemical Fiber ◽  
Production Lines ◽  
The Neural Network ◽  
Spss Software ◽  
The Relationship

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.

Integrating Modular Units into the Production Line and MRO in Career Apparel Industry

2013 ◽  
Vol 397-400 ◽  
pp. 2549-2552
Author(s):  
Jian Hua Yang ◽  
Yang Song ◽  
Zhi Chao Ma
Keyword(s):  
Production Line ◽  
Apparel Industry ◽  
Production Lines ◽  
Modular Units ◽  
Study Techniques

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.

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