Assessment of Reliability Factors in Chocolate Manufacturing Plant using Boolean Function Technique and Neural Networking
Anil Chandra1, Surbhi Gupta2, Anjali Naithani3
1Anil Chandra, Amity institute of Microbial Technology, Amity University, Noida, India.
2Surbhi Gupta*, Amity institute of Applied Sciences, Department of mathematics, Amity University, Noida.
3Anjali Naithani, Amity institute of Applied Sciences, Department of Mathematics, Amity University, Noida.
Manuscript received on September 13, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 2562-2567 | Volume-8 Issue-12, October 2019. | Retrieval Number: K19880981119/2019©BEIESP | DOI: 10.35940/ijitee.K1988.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A simple approach of solving a mathematical model depicting the reliability of a system is by doing its mathematical formulation using Boolean algebra technique and neural networking approach in simplication of complex system. Various reliability parameters are computed on applying Boolean and neural network approach. The author focus in this paper is to calculate the cost and factors of reliability of chocolate manufacturing plant using feed forward neural network approach using MATLAB. .
Keywords: Cost factor, Exponential Distribution, Feed Forward Network, Neural Network, Neural Weights, Reliability Modeling, Weibull Distribution
Scope of the Article: Advanced Manufacturing Technologies