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V P Jagathy Raj

Bio: V P Jagathy Raj is an academic researcher from Cochin University of Science and Technology. The author has contributed to research in topics: Total productive maintenance & Halbach array. The author has an hindex of 13, co-authored 46 publications receiving 572 citations.

Papers
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TL;DR: In this paper, the authors highlight the application of Interpretive Structural Modeling (ISM) to analyze the barriers in implementation of Total Productive Maintenance (TPM), with emphasis on maintenance programs to improve quality of products, reliability of processes and reduction in cost.
Abstract: – The purpose of this paper is to highlight the application of Interpretive Structural Modeling (ISM) to analyze the barriers in implementation of Total Productive Maintenance (TPM). TPM is explained in brief with emphasis on maintenance programs to improve quality of products, reliability of processes and reduction in cost. Barriers in implementation of TPM are also discussed. Concept of ISM and steps in developing ISM are described in detail. The authors then illustrate the research methodology which involves applying ISM to analyze barriers in TPM. , – The paper starts off by describing the concepts of TPM and ISM. Barriers in implementation of TPM are discussed. It explains ISM as a methodology to understand the underlying interrelationship among the inhibiting factors. The authors draw up an action plan to carry out research on the usage of ISM to study the TPM inhibitors, to develop an integrated model to establish the relationship among the different TPM inhibiting factors and to suggest action plan to mitigate these factors. , – Interpretive Structural Modeling (ISM) can be used to analyze the driving and dependence power of the variables inhibiting implementation of TPM. The barriers to implement TPM are described with detailed explanation. The complexity of the problem and the degree of interconnection among the variables can be found out. This will help Managers take action on mitigating the barriers. , – By analyzing the interrelationships among the barriers and their strengths, management can chalk out the strategy to implement TPM in an organization. Management will become aware of the barriers which have the maximum influence and then can act accordingly to mitigate these barriers. This will help in implementing TPM faster and in an organized manner. , – Many authors have used ISM to study various issues. A couple of authors have used ISM to determine barriers in implementation of TPM. The authors feel that most of the papers describe ISM in brief making it slightly difficult for readers to understand. This paper aims to explain elaborately step-by-step on how to develop an ISM making it easier for researchers to understand the ISM concept. Even though there are papers on TPM and difficulties in implementation of TPM, this paper explains the barriers in implementing TPM based on the experience of the corresponding author having worked in the refinery industry.

101 citations

Journal ArticleDOI
TL;DR: The design and analysis of a novel machine family-the enclosed-rotor Halbach-array permanent-magnet brushless dc motors for spacecraft applications is presented and is found to suit the design requirements of critical spacecraft applications.
Abstract: This paper presents the design and analysis of a novel machine family-the enclosed-rotor Halbach-array permanent-magnet brushless dc motors for spacecraft applications. The initial design, selection of major parameters, and air-gap magnetic flux density are estimated using the analytical model of the machine. The proportion of the Halbach array in the machine is optimized using finite element analysis to obtain a near-trapezoidal flux pattern. The machine is found to provide uniform air-gap flux density along the radius, thus avoiding circulating currents in stator conductors and thereby reducing torque ripple. Furthermore, the design is validated with experimental results on a fabricated machine and is found to suit the design requirements of critical spacecraft applications.

86 citations

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TL;DR: In this paper an improved scheduling algorithm is introduced after analyzing the traditional algorithms which are based on user priority and task length, and the proposed approach considers all of these factors.

84 citations

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TL;DR: In this paper, a model called Maintenance Quality Function Deployment (MQFD) has been developed to nourish the synergic power of QFD and total quality management (TPM) for converting customers' vague language into technical languages.
Abstract: Quality Function Deployment (QFD) is a technique used in the Total Quality Management (TQM) field for converting customers' vague language into technical languages. Total Productive Maintenance (TPM) is an approach being followed to achieve quality in maintenance engineering activities. In order to nourish the synergic power of QFD and TPM, a model called Maintenance Quality Function Deployment (MQFD) has been developed. One of the hallmarks of MQFD implementation is the consideration of factors such as customers, technology, competitors, etc. If MQFD implementation is to be successful among organisations with heterogeneous cultures, their critical factors have to be compared thoroughly. The technique 'Analytic Hierarchy Process' (AHP) helps to achieve this task. AHP carry out pairwise comparison and sensitivity analysis of various critical factors and subfactors considered in MQFD projects. A sample application study of implementing AHP in MQFD programme in a maintenance-intensive Indian automobile service station was carried out. The details are illustrated in the subsequent sections of the article.

56 citations

Journal ArticleDOI
TL;DR: In this paper, two reinforcement learning (RL) approaches to the EDA problem are presented. And a third algorithm which takes into consideration the transmission losses is also explained, and a comparison of the computation times of different algorithms is also carried out.

49 citations


Cited by
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Journal ArticleDOI
29 Dec 2014-Energies
TL;DR: In this article, the authors take a look at and compare the landscape of energy storage devices and provide an overview of some of the problems with existing storage systems and identifies some key technologies that hold promise.
Abstract: More effective energy production requires a greater penetration of storage technologies. This paper takes a looks at and compares the landscape of energy storage devices. Solutions across four categories of storage, namely: mechanical, chemical, electromagnetic and thermal storage are compared on the basis of energy/power density, specific energy/power, efficiency, lifespan, cycle life, self-discharge rates, capital energy/power costs, scale, application, technical maturity as well as environmental impact. It’s noted that virtually every storage technology is seeing improvements. This paper provides an overview of some of the problems with existing storage systems and identifies some key technologies that hold promise.

234 citations

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TL;DR: A systematic review as well as classification of proposed scheduling techniques along with their advantages and limitations of cloud computing are provided.

220 citations

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TL;DR: In this paper, the authors review past and very recent research considerations in using reinforcement learning (RL) to solve electric power system decision and control problems, and analyse the perspectives of RL approaches in light of the emergence of new generation, communications, and instrumentation technologies currently in use, or available for future use, in power systems.

170 citations

Journal ArticleDOI
TL;DR: It is perceived that different schemes and algorithms did not consider some essential parameters and enhancement is requisite to improve the performance of the existing schemes to trigger new and innovative methods of handling the problems of resource scheduling in the cloud.

147 citations