Evaluation and optimisation of integrated manufacturing system operations using Taguch's experiment design in computer simulation

Tsai, Chi-Sheng

doi:10.1016/s0360-8352(02)00127-4

Cited by 46 publications

(20 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using OA design, the effects of multiple process factors on the performance characteristics can be determined while minimizing the number of experiments. The selection of an appropriate OA depends on the total degrees of freedom (DOF) of process parameters [23]. In this research work, the squeeze casting process parameters namely squeeze pressure (A), melt temperature (B), and die preheating temperature (C) at three levels were selected as the control factors.…”

Section: Experimental Methodologiesmentioning

confidence: 99%

Improvement of ductility for squeeze cast 2017 A wrought aluminum alloy using the Taguchi method

Souissi¹,

Souissi²,

Lecompte

et al. 2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

In this paper, the influence of process parameters on the ductility during squeeze casting of 2017 A wrought aluminum alloy is studied. The Taguchi method of design of experiments was employed to optimize the process parameters and to increase the elongation percent. A 3-factor, 3-level casting experiment is conducted by Taguchi L 9 orthogonal array through the statistical design method. Then, the input parameters are considered here including squeeze pressure, melt temperature, and die preheating temperature with three levels. The optimum casting parameters to acquire higher ductility were predicted, and the individual importance of each parameter was evaluated by examining the signal-to-noise (S/N) ratio and analysis of variance (ANOVA) results. The optimum levels of the squeeze pressure, melt temperature, and die preheating temperature were found to be 90 MPa, 700, and 200°C, respectively. The ANOVA results indicated that the squeeze pressure has the higher statistical effect on the elongation percent, followed by the melt temperature and die preheating temperature. Optical microscopy and scanning electron microscopy (SEM) analysis were used to discuss the effect of pressure levels on the microstructure and the fracture characterization of the investigated alloy.

show abstract

Section: Experimental Methodologiesmentioning

confidence: 99%

Improvement of ductility for squeeze cast 2017 A wrought aluminum alloy using the Taguchi method

Souissi¹,

Souissi²,

Lecompte

et al. 2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…Computer simulation have applied and proposed in order to deal with the problems and variations in the integrated manufacturing systems. It is very useful to analyze, design, and schedule the manufacturing systems and apply simulation instead of using complex mathematical model equations (Tsai, 2002).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Tsai (2002), focused on assessment and optimization of joined manufacturing system operations with the aim of experimental design in computer simulation. The results show that this approach could consider the assessment and optimization of operating situations in multifaceted systems concurrently.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Zahraee

Chegeni

Toghtamish

2016

JIEM

View full text Add to dashboard Cite

Abstract: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, -487-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1425 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.

show abstract

“…PSO is a developmental algorithm that was suggested by James Kennedy and Russell Eberhart in 1995 to determine the best solution of problems [18]. It is comprised of Swarm Intelligence and Collective Intelligence and is a sub-field of Computational Intelligence.…”

Section: Particle Swarm Optimization (Pso) Algorithmmentioning

confidence: 99%

Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency

Assadi¹,

Zahraee²

2016

Int J Swarm Intel Evol Comput

View full text Add to dashboard Cite

The goal of this paper is to optimize the productivity of manufacturing system by integrating computer simulation, design of experiments (DOE) and particle swarm optimization (PSO) algorithm. Optimizing productivity of colour factory was considered as the case of this study. To evaluate and estimate the effect of main factors, 2 n factorial design with higher and upper levels and centre points was considered. After obtaining the significant factors, the local optimum setting of the significant factors was determined using the steepest ascent method and response surface methodology (RSM) approach. Finally, the global optimum productivity was achieved by computer programing of PSO method. Base on the final result, maximum productivity occurs in the point of 87.23 that is relevant to number of labour (B) = 26 and failure time of lifter (C) = 78.04 min. In addition, other two factors A (Service rate of Delpak mixer) and D (Number of permil) should be located at low level to obtain maximum productivity.

show abstract

Evaluation and optimisation of integrated manufacturing system operations using Taguch's experiment design in computer simulation

Cited by 46 publications

References 8 publications

Improvement of ductility for squeeze cast 2017 A wrought aluminum alloy using the Taguchi method

Improvement of ductility for squeeze cast 2017 A wrought aluminum alloy using the Taguchi method

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

Integration of Computer Simulation, Design of Experiments and Particle Swarm Optimization to Optimize the Production Line Efficiency

Contact Info

Product

Resources

About