scholarly journals The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation

2016 ◽  
Vol 9 (2) ◽  
pp. 487 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Ali Chegeni ◽  
Arshin Toghtamish
Keyword(s):  
Computer Simulation ◽  
Taguchi Method ◽  
Production Line ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Optimal Parameter ◽  
Hydraulic Machines ◽  
Controllable Factors ◽  
Noise Factors ◽  
Level 2

Purpose: Manufacturing systems include a complicated combination of resources, such as materials, labors, and machines. Hence, when the manufacturing systems are faced with a problem related to the availability of resources it is difficult to identify the root of the problem accurately and effectively. Managers and engineers in companies are trying to achieve a robust production line based on the maximum productivity. The main goal of this paper is to design a robust production line, taking productivity into account in the selected manufacturing industry.Design/methodology/approach: This paper presents the application of Taguchi method along with computer simulation for finding an optimum factor setting for three controllable factors, which are a number of welding machines, hydraulic machines, and cutting machines by analyzing the effect of noise factors in a selected manufacturing industry.Findings and Originality/value: Based on the final results, the optimal design parameter of welding unit of in the selected manufacturing industry will be obtained when factor A is located at level 2 and B and C are located at level 1. Therefore, maximum productive desirability is achieved when the number of welding machines, hydraulic machines, and cutting machines is equal to 17, 2, and 1, respectively. This paper has a significant role in designing a robust production line by considering the lowest cost and timely manner based on the Taguchi method.

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.

Characterization of Manufacturing System Computer Simulation using Taguchi Method

2015 ◽  
Vol 72 (4) ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Ali Chegeni ◽  
Jafri Mohd Rohani
Keyword(s):  
Computer Simulation ◽  
Taguchi Method ◽  
Manufacturing Industry ◽  
Waiting Times ◽  
Inspection Time ◽  
Total Output ◽  
Service Rate ◽  
Manufacturing Line

In the manufacturing industry, managers and engineers are trying to sustain their competitiveness by achieving high output and productivity. There are some common problems such as waiting times, failures, reworks in production line that impose extra cost to the companies. Therefore, companies are striving to find methods in order to determine and deal with problems using different methods such as mathematical, statistical and computer simulation. The goal of this paper is to increase the total output production and to improve productivity using computer simulation and Taguchi method. This paper introduces a color manufacturing line as a case study which is simulated using arena 13.9 software. Following that the Taguchi method is applied to assess the effect of controllable and uncontrollable factors on the total output production. According to the result of JMP 10 software to conduct Taguchi experiment, the maximum desirability of productivity will be achieved when the value of factors such service rate of delpak machine=UNIF (30, 40), number of labor=14, inspection time=120 and number of Permil=5. Taguchi Method plays an efficient and suitable role in the process improvement, proposing adjustments that will provide an improvement in the productivity. 

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.

Evaluating the Effect of Main Factors in Manufacturing Production Line Based on Simulation Experiment

2014 ◽  
Vol 606 ◽  
pp. 199-203 ◽  
Author(s):  
Milad Hatami ◽  
Seyed Mojib Zahraee ◽  
Alireza Khademi ◽  
A. Shahpanah ◽  
Jafri Mohd Rohani
Keyword(s):  
Production Line ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Failure Time ◽  
Service Rate ◽  
Manufacturing Companies ◽  
System Productivity ◽  
High Production Rate ◽  
Need To Evaluate ◽  
High Level

Productivity plays a significant role for most companies in order to measure the efficiency. In reality there is an essential need to evaluate the different factors which increasing productivity and achieving the high level of quality, high production rate , machine utilization. On the other hand, manufacturing companies are striving to sustain their competitiveness by improving productivity and quality of manufacturing industry. So it can be acquired by finding ways to deal with various industrial problems which have affected the productivity of manufacturing systems. This paper aims at applying statistical analysis and computer simulation to recognize and to weight the significance of different factors in the production line. Based on the final result the two factors which are B (Number of labor) and C (Failure time of lifter) have the most significant effect on the manufacturing system productivity. In order to achieve the maximum productivity the factors should be placed on the levels which are: A= -1, B=1, C=1 and D=1. This means that the service rate of mixer = UNIF (20, 40), number of labor=20, failure time of lifter =60 min and number of permil=5 respectively.

scholarly journals Application of Computer Simulation for Productivity Improvement of Welding Unit in a Heater Manufacturing Industry: A Case Study Based on Arena

2018 ◽  
Vol 225 ◽  
pp. 01004 ◽  
Author(s):  
Salman Jameh Abrishami ◽  
Mohammad Zeraatkar ◽  
Rasoul Esrafilian ◽  
Seyyed Amir Vafaei ◽  
Seyed Mojib Zahraee
Keyword(s):  
Computer Simulation ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Management Strategies ◽  
Simulation Models ◽  
Global Market ◽  
Productivity Improvement ◽  
Manufacturing Management ◽  
Manufacturing Line

Firm’s efficiency and competitiveness are two important challenges in today’s global market that have motivated many manufacturing firms to plan novel manufacturing management strategies. Nowadays, simulation models have been used to assess different aspects of manufacturing systems. This paper introduces a welding unit of a manufacturing line of heater production as a case study and the basic application of the ARENA software. The main goal of this paper is increasing the productivity of the production line by using computer simulation. To achieve this goal, three various scenarios are compared and suggested to obtain the better improvement in productivity.

Optimal Parameter Design of Solder Residue in Flip Chip Process by Using Taguchi Method

2010 ◽  
Vol 443 ◽  
pp. 543-548
Author(s):  
Jian Long Kuo ◽  
Kai Lun Chao ◽  
Chun Cheng Kuo
Keyword(s):  
Taguchi Method ◽  
Product Quality ◽  
Manufacturing Process ◽  
Flip Chip ◽  
Optimal Parameter ◽  
Experimental Testing ◽  
Signal To Noise Ratio ◽  
Optimal Solution ◽  
Passive Component

Because the solder residue was found in the manufacturing process which greatly affected the product quality, the purpose of this paper was to make the product quality improved and to find an optimal solution for process parameters in the flip chip process. The experimental testing was based on SMT manufacturing process. The amount and size of solder left on passive component in the process of manufacturing were considered as the quality traits. Since too many solders left on the passive component side during flux cleaning process, it was possible that the balling would be flowed into the chip, which caused the bump short in the chip and affected the quality of the product. In this paper, orthogonal array by using Taguchi method is adopted as the effective experimental method with the least experimental runs. Also, based on the quality evaluation of signal-to-noise ratio, the ANOVA is used to evaluate the effects of quality target according to the experimental results. The results reveal that the optimization in the process is confirmed. Therefore, this study can effectively improve the solder residue in semiconductor manufacturing process.

scholarly journals Optimal Parameter Design for IC Wire Bonding Process by Using Fuzzy Logic and Taguchi Method

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 3034-3045 ◽  
Author(s):  
Jinn-Tsong Tsai ◽  
Cheng-Chung Chang ◽  
Wen-Ping Chen ◽  
Jyh-Horng Chou
Keyword(s):  
Fuzzy Logic ◽  
Taguchi Method ◽  
Optimal Parameter ◽  
Wire Bonding ◽  
Bonding Process ◽  
Parameter Design

Unsettled Issues on the Viability and Cost-Effectiveness of Automation in Aerospace Manufacturing

2021 ◽  
Author(s):  
Philip Webb ◽  
Keyword(s):  
Cost Effectiveness ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Technical Analysis ◽  
Cutting Edge ◽  
Complex Issue ◽  
Safety Critical ◽  
Human Skill ◽  
Aerospace Manufacturing ◽  
Comprehensive Picture

The aerospace manufacturing industry is, in many ways, one of the most sophisticated commercial manufacturing systems in existence. It uses cutting-edge materials to build highly complex, safety-critical structures and parts. However, it still relies largely upon human skill and dexterity during assembly. There are increasing efforts to introduce automation, but uptake is still relatively low. Why is this and what needs to be done? Some may point to part size or the need for accuracy. However, as with any complex issue, the problems are multifactorial. There are no right or wrong answers to the automation conundrum and indeed there are many contradictions and unsettled aspects still to be resolved. Unsettled Issues on the Viability and Cost-Effectiveness of Automation in Aerospace Manufacturing builds a comprehensive picture of industry views and attitudes backed by technical analysis to answer some of the most pressing questions facing robotic aerospace manufacturing.

The Optimum Cage Position and Orientation on the ALIF with Facet Screw Fixation: A Finite Element Analysis and the Taguchi Method

2011 ◽  
Vol 27 (3) ◽  
pp. 309-320 ◽  
Author(s):  
C.-Y. Fan ◽  
C.-K. Chao ◽  
C.-C. Hsu ◽  
K.-H. Chao
Keyword(s):  
Finite Element ◽  
Taguchi Method ◽  
Screw Fixation ◽  
Three Dimensional ◽  
Element Model ◽  
Lateral Position ◽  
Element Analysis ◽  
Control Factors ◽  
Position And Orientation ◽  
Noise Factors

ABSTRACTAnterior Lumbar Interbody Fusion (ALIF) has been widely used to treat internal disc degeneration. However, different cage positions and their orientations may affect the initial stability leading to different fusion results. The purpose of the present study is to investigate the optimum cage position and orientation for aiding an ALIF having a transfacet pedicle screw fixation (TFPS). A three-dimensional finite element model (ALIF with TFPS) has been developed to simulate the stability of the L4/L5 fusion segment under five different loading conditions. The Taguchi method was used to evaluate the optimized placement of the cages. Three control factors and two noise factors were included in the parameter design. The control factors included the anterior-posterior position, the medio-lateral position, and the convergent-divergent angle between the two cages. The compressive preload and the strengths of the cancellous bone were set as noise factors. From the results of the FEA and the Taguchi method, we suggest that the optimal cage positioning has a wide anterior placement, and a diverging angle between the two cages. The results show that the optimum cage position simultaneously contributes to a stronger support of the anterior column and lowers the risk of TFPS loosening.

Managing Complexity in Manufacturing Changeovers: A Sustainable Manufacturing-Oriented Approach and the Application Case Study

2016 ◽  
Author(s):  
Khalid Mustafa ◽  
Kai Cheng
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Business Models ◽  
Sustainable Manufacturing ◽  
Lead Times ◽  
Manufacturing Companies ◽  
Factors Affecting ◽  
Manufacturing Complexity ◽  
Oriented Approach

Increasing manufacturing complexity continues to be one of the most significant challenges facing the manufacturing industry today. Due to these rapid changes in manufacturing systems, one of the most important factors affecting production is recognized as the frequent production setup or changeovers, consequently affecting the overall production lead times and competitiveness of the company. Developing responsive production setup and process capability is increasingly important as product ranges and varieties in manufacturing companies are growing rapidly and, at the same time, production business models are operating more towards being customer-oriented. Furthermore, although different conventional methods have been used to manage complexity in production changeovers, sustainability and competitiveness development in a manufacturing company needs to be scientifically addressed by managing manufacturing complexity. In this paper, a sustainable manufacturing-oriented approach is presented in mind of managing manufacturing changeover complexities. A case study is carried out specifically concerning changeover complexity in a pharmaceutical company, aiming at minimizing complexities in production changeover and waste, increasing plant flexibility and productivity, and ultimately the sustainable competitiveness of the company in managing manufacturing changes.

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