Mathematical modeling and fuzzy availability analysis for serial processes in the crystallization system of a sugar plant

Aggarwal, Anil Kr.; Kumar, Sanjay; Singh, Vikram

doi:10.1007/s40092-016-0166-6

Cited by 22 publications

(9 citation statements)

References 23 publications

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“…To further confirm this assertion, a combination of two very popular risk assessments tools (fault tree analysis and reliability block diagram) was used to investigate one of the most recent power transformer bushing failures. Fault tree (FTA) [15,53,54,[65][66][67][68][69][70][71] and reliability block diagrams (RBD) [53,54,[72][73][74][75] are very illustrative performance evaluation tools that have been immensely used for investigating critical plant failures across a variety of industries within the last five decades.…”

Section: Ae1: Maintenance Strategy and Planning Activitiesmentioning

confidence: 99%

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Ayu¹,

Yunusa‐Kaltungo

2020

Energies

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The outburst of population as well as increasing industrialisation have triggered a very prominent imbalance between electricity demand and supply in emerging economies such as Indonesia. Based on this premise, electricity generation and distribution firms such as Perusahaan Listrik Negara (PLN) are faced with an urgent need to enhance availability and reliability through capacity expansion as well as the institutionalisation of cost-effective maintenance and asset management (MAM) principles. Some of the principles recommended here involve embedding customised overall health index (OHI) and total life cycle cost (LCC) estimation principles into engineering decisions that relate to asset renewal and/or replacement. While discussions about the fundamental theories and estimation approaches for OHI and LCC for power transformers (PTs) already exist in the current body of literature, however, they are mostly in a generic form which has somewhat limited proper implementation of these valuable principles in practice. This study is unique because it provides a very systematic framework towards achieving cost-effective MAM through a case study. Additionally, the proposed framework is all-encompassing, as it also assesses the impacts of human unreliability through the application or proven risk assessment techniques. The proposed framework commences with the evaluation of existing decision support system at PLN through a MAM audit, whereby the performance of the West Java arm of PLN with regards to critical MAM elements was examined.

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Section: Ae1: Maintenance Strategy and Planning Activitiesmentioning

confidence: 99%

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Ayu¹,

Yunusa‐Kaltungo

2020

Energies

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“…The system of differential equations (1) to (20) along with initial conditions given in equation 21was solved by…”

Section: Formulation Of Mathematical Model and Its Solutionmentioning

confidence: 99%

“…x X ∈ be an element of a conventional set then fuzzy set has been defined as a ordered pair of the element and the corresponding membership function over the interval [0,1]. , where k denotes the operative states…”

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confidence: 99%

The Mathematical Modelling and Performance Evaluation of Paint Manufacturing System using Fuzzy Reliability Approach

Ombirdahiya¹,

Tjprc²

2019

IJMPERD

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In the present paper, we present a novel method for performance evaluation of a paint manufacturing plant in which five subsystems are connected in series configuration. The mathematical modelling of the system is carried out using the mnemonic rule to formulate C-K differential difference equations. The concept of fuzzy reliability, coverage factor and constant failure and repair densities have been used to analyze the availability and performance of the system. Finally, for a particular case numerical results for fuzzy availability and profit function has been derived with respect to time.

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“…Kadyan and Kumar [28] analyzed the availability and profit of feeding system in sugar manufacturing plant. Aggarwal et al [29] formulated a mathematical model and obtained the results for reliability of the serial processes in feeding system. Kumar and Tewari [30] used PSO technique for performance analysis and optimization of CSDGB filling system of a beverage plant.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling and performance evaluation of A-pan crystallization system in a sugar industry

2019

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In this paper, an effort has been made to formulate a mathematical model of A-pan crystallization system of a sugar plant using fuzzy reliability approach. The sugar plant comprises eight subsystems. A-pan crystallization system is one of the most important representative among sugar plant systems. The A-pan crystallization system has four subsystems arranged in a series. The configuration of first and second subsystems is 2-out-of-2: G with two cold standby while third and fourth subsystems are in single-unit configuration. A mathematical model has been proposed by considering exponential distribution for failure and repair rates. By considering fuzzy reliability approach and Markov birth-death model differential equations have been derived. These equations are then solved by Runge-Kutta method of fourth order using MATLAB (Ode 45 function) to obtain the fuzzy availability. The results of the proposed model are beneficial for system designers.

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Mathematical modeling and fuzzy availability analysis for serial processes in the crystallization system of a sugar plant

Cited by 22 publications

References 23 publications

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

The Mathematical Modelling and Performance Evaluation of Paint Manufacturing System using Fuzzy Reliability Approach

Mathematical modeling and performance evaluation of A-pan crystallization system in a sugar industry

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