Performance evaluation of Monte Carlo simulation: case study of Monte Carlo approximation versus analytical solution for a chi-squared distribution

2020 ◽  
Vol 31 (4) ◽  
pp. 045012
Author(s):  
Hanno Ohvril ◽  
Alan H Tkaczyk ◽  
Peeter Saari ◽  
Tõnu Kollo ◽  
Koit Mauring ◽  
...  
2019 ◽  
Vol 235 ◽  
pp. 111-119 ◽  
Author(s):  
Jinsu Park ◽  
Peng Zhang ◽  
Hyunsuk Lee ◽  
Sooyoung Choi ◽  
Jiankai Yu ◽  
...  

2014 ◽  
Vol 12 (3) ◽  
pp. 307-315 ◽  
Author(s):  
Sekar Vinodh ◽  
Gopinath Rathod

Purpose – The purpose of this paper is to present an integrated technical and economic model to evaluate the reusability of products or components. Design/methodology/approach – Life cycle assessment (LCA) methodology is applied to obtain the product’s environmental performance. Monte Carlo simulation is utilized for enabling sustainable product design. Findings – The results show that the model is capable of assessing the potential reusability of used products, while the usage of simulation significantly increases the effectiveness of the model in addressing uncertainties. Research limitations/implications – The case study has been conducted in a single manufacturing organization. The implications derived from the study are found to be practical and useful to the organization. Practical implications – The paper reports a case study carried out for an Indian rotary switches manufacturing organization. Hence, the model is practically feasible. Originality/value – The article presents a study that investigates LCA and simulation as enablers of sustainable product design. Hence, the contributions of this article are original and valuable.


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