Application of computer simulation experiment and response surface methodology for productivity improvement in a continuous production line: Case study

In this case study of the Saskatchewan provincial timber inventory, the major sources of errors were identified and suitable procedures presented for their estimation. Applying those procedures on a pilot area, the results showed that sampling error was by far the most important component affecting the accuracy of volume estimates. Variances arising from the use of taper functions to estimate tree volumes were under 0.05%, and variances from 3P subsampling were about 3% of the total variance. A computer simulation experiment showed that a 2% measurement bias in both diameter and height measurements may result in 8% bias in the volume estimate. Key words: 3P sampling, taper functions, error budget

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Continuous production line for concreting the Inguri arch dams

Hydrotechnical Construction ◽

10.1007/bf01426713 ◽

1984 ◽

Vol 18 (8) ◽

pp. 389-393 ◽

Cited By ~ 1

Author(s):

Z. L. Machavariani ◽

N. N. Shartava ◽

N. Z. Kolbazov

Keyword(s):

Production Line ◽

Continuous Production ◽

Arch Dams ◽

Continuous Production Line

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Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study

Expert Systems with Applications ◽

10.1016/j.eswa.2018.05.024 ◽

2018 ◽

Vol 109 ◽

pp. 195-205 ◽

Cited By ~ 17

Author(s):

Gustavo A. Lujan-Moreno ◽

Phillip R. Howard ◽

Omar G. Rojas ◽

Douglas C. Montgomery

Keyword(s):

Machine Learning ◽

Response Surface Methodology ◽

Random Forest ◽

Design Of Experiments ◽

Response Surface

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Simulation of Manufacturing Production Line Based on Arena

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.933.744 ◽

2014 ◽

Vol 933 ◽

pp. 744-748 ◽

Cited By ~ 12

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.

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Application of Kansei Engineering and Box-Behnken response surface methodology for shape parameter design: A case study of wine glass

Journal of Advanced Mechanical Design Systems and Manufacturing ◽

10.1299/jamdsm.2015jamdsm0059 ◽

2015 ◽

Vol 9 (5) ◽

pp. JAMDSM0059-JAMDSM0059 ◽

Cited By ~ 4

Author(s):

Chaiwat KITTIDECHA ◽

Ashuboda Chandrajith MARASINGHE

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Shape Parameter ◽

Parameter Design ◽

Kansei Engineering ◽

Wine Glass

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Improving Production Line Performance: A Case Study

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.44-47.4136 ◽

2010 ◽

Vol 44-47 ◽

pp. 4136-4140

Author(s):

Wan Hasrulnizzam Wan Mahmood ◽

Mohd Nizam A. Rahman ◽

Md Deros Baba ◽

Jaharah Abd. Ghani

Keyword(s):

Production Line ◽

Research Method ◽

Real Data ◽

Strategic Decision ◽

Productivity Improvement ◽

Operation System ◽

Optimum Result ◽

Current Operation ◽

Case Based

A case-based research method was chosen with the aim to provide an exemplar of practice and test the proposition that the use of simulation can improve productivity. Three alternatives were performed by considering the aspects of operator, machine, and workstation to define productivity improvement alternatives for operation optimisation. The research determines the optimum result to improve the current operation system. The experiments on simulated and real data clearly indicate that the productivity improvement in the current performance can be achieved by re-allocating the number of operators and machines effectively instead of a combination. The paper presents a novel example of the use of simulation to estimate the production line performance. The paper highlights this method by addressing this operational issue and the likelihood of the success of the strategic decision to improve productivity.

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