K. Pandiarajan and C.K. Babulal
The electric power system is a complex system, whose operating condition may not remain at a constant value. The various contingencies like outage of lines, transformers…
Abstract
Purpose
The electric power system is a complex system, whose operating condition may not remain at a constant value. The various contingencies like outage of lines, transformers, generators and sudden increase of load demand or failure of equipments are more common. This causes overloads and system parameters to exceed the limits thus resulting in an insecure system. The purpose of this paper is to enhance the power system security by alleviating overloads on the transmission lines.
Design/methodology/approach
Fuzzy logic system (FLS) with particle swarm optimization based optimal power flow approach is used for overload alleviation on the transmission lines. FLS is modeled to find the changes in inertia weight by which new weights are determined and their values are applied to particle swarm optimization (PSO) algorithm for velocity and position updation.
Findings
The proposed method is tested and examined on the standard IEEE-30 bus system under base case and increased load conditions at different contingency. This method gives better results in terms of optimum fuel cost and fast convergence under base case and could alleviate the line overloads at different contingency with optimum generation cost, when compared to adaptive particle swarm optimization (APSO) and PSO.
Originality/value
FLS is modeled in MATLAB environment. The effectiveness of the proposed method is tested and examined on the standard IEEE-30 bus system and their results are compared with APSO and PSO under MATPOWER environment. The results show that the proposed algorithm is capable of improving the transmission security with optimum generation cost.
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Pandia Rajan Jeyaraj and Edward Rajan Samuel Nadar
The purpose of this paper is to focus on the design and development of computer-aided fabric defect detection and classification employing advanced learning algorithm.
Abstract
Purpose
The purpose of this paper is to focus on the design and development of computer-aided fabric defect detection and classification employing advanced learning algorithm.
Design/methodology/approach
To make a fast and effective classification of fabric defect, the authors have considered a characteristic of texture, namely its colour. A deep convolutional neural network is formed to learn from the training phase of various defect data sets. In the testing phase, the authors have utilised a learning feature for defect classification.
Findings
The improvement in the defect classification accuracy has been achieved by employing deep learning algorithm. The authors have tested the defect classification accuracy on six different fabric materials and have obtained an average accuracy of 96.55 per cent with 96.4 per cent sensitivity and 0.94 success rate.
Practical implications
The authors had evaluated the method by using 20 different data sets collected from different raw fabrics. Also, the authors have tested the algorithm in standard data set provided by Ministry of Textile. In the testing task, the authors have obtained an average accuracy of 94.85 per cent, with six defects being successfully recognised by the proposed algorithm.
Originality/value
The quantitative value of performance index shows the effectiveness of developed classification algorithm. Moreover, the computational time for different fabric processing was presented to verify the computational range of proposed algorithm with the conventional fabric processing techniques. Hence, this proposed computer vision-based fabric defects detection system is used for an accurate defect detection and computer-aided analysis system.
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Mars Nadia, Houcine Lassad, Zaafouri Abderrahmen and Chaari Abdelkader
Tunisia has high solar radiation levels, which makes it suitable for the installation of photovoltaic (PV) systems. The design of these kinds of systems is an important step…
Abstract
Tunisia has high solar radiation levels, which makes it suitable for the installation of photovoltaic (PV) systems. The design of these kinds of systems is an important step because there are many crucial factors to assess the PV module efficiency such as temperature, module types and solar radiation.This paper aims to give an analysis of the most influencing factor for selecting location. In fact, after estimating the PV panel inclination, the solar radiation and the temperature in “Zarzis” (southeastern of Tunisia), a comparative analysis among the different PV panel types was given. Additionally, to find which technologies are suitable for the climate conditions of this area, it is important to compare the effect of temperature and solar radiation on their performances.
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Madeline Crocitto and Mohamed Youssef
Organizational agility may be considered the integration of organizational processes, characteristics, and members with advanced technology. Agility enhances the organization’s…
Abstract
Organizational agility may be considered the integration of organizational processes, characteristics, and members with advanced technology. Agility enhances the organization’s ability to provide high quality products and services and is, therefore, crucial to organizational competitiveness. Integrates the production/operations, general management, and sociotechnical views to develop a model of organizational agility. Briefly reviews the literature in these fields and offers a model of agility based on suppliers, organizational members, and customers united through information technology. It is proposed that these connections rest on a foundation of leadership, organization culture, and employee reward systems that create a relationship between people and technology. These relationships include involving people in decision making, creating process and product quality by offering enriched jobs, training in technology, and providing a reward system which reinforces agility‐promoting efforts.
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Xun Li, Chen Chung, Thomas J. Goldsby and Clyde W. Holsapple
The purpose of this paper is to provide a theoretical model of supply chain agility and, based on that, develop a research framework for investigating linkages between supply…
Abstract
Purpose
The purpose of this paper is to provide a theoretical model of supply chain agility and, based on that, develop a research framework for investigating linkages between supply chain agility and firm competitiveness.
Design/methodology/approach
The conceptual model of supply chain agility introduced here is based on an inter‐disciplinary literature review, which concentrates on peer‐reviewed journal papers on agility published within the period 1990‐2007. Among a total of 583 papers, representative studies are chosen and analyzed to identify key elements of supply chain agility, and to point out issues that have yet to be addressed.
Findings
He was found that even though there has been considerable research on the topic of agility, in general, there is relatively little examination of agility in the supply chain context. These few studies are not unified in their conceptualizations of agility and tend to adopt fairly limited views of supply chain dimensionality. This situation suggests that there is a need for a theory‐driven, unified model of agility in supply chains.
Originality/value
This paper fulfills an identified need for a comprehensive conceptual model of supply chain agility. Built from a work‐design perspective, this new conceptualization of supply chain agility offers a theoretical platform for guiding future research and practice concerned with achieving supply chain agility.
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To stay competitive in future global markets, manufacturers must face the challenge to sustain superior performance in three important aspects of operational capability �…
Abstract
To stay competitive in future global markets, manufacturers must face the challenge to sustain superior performance in three important aspects of operational capability ‐ flexibility, speed, and the ability to serve the customer. These capabilities are achieved by the manufacturer’s ability to excel in product development, production operations, customer order processing and delivery, and the development of supply networks. The specific requirements for each of these systems are described. Examples of techniques that will be beneficial in achieving excellence in each of these critical areas of operations are given.
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Shan Cao, Faqing He and Jinwei Gao
Important reserves of oil and gas, which are left to be discovered and produced, are mainly concentrated in challenging locations and under severe conditions such as high pressure…
Abstract
Purpose
Important reserves of oil and gas, which are left to be discovered and produced, are mainly concentrated in challenging locations and under severe conditions such as high pressure (HP)/high temperature (HT). The presence of aggressive environments including H2S, CO2 and chlorides plus HP/HT causes a series of corrosion problems, which cost the oil industry billions of dollars a year. Thus, there is an increasing challenge for tubes (i.e. oil country tubular goods, for short, OCTG) used in producing oil and gas. The purpose of this study is to summarize different kinds of corrosion problems and their mitigation, to more efficiently protect OCTG from corrosion.
Design/methodology/approach
To effectively select proper mitigation methods, the mechanism of corrosion must be understood, which can be classified into four categories: sweet corrosion, sour corrosion, galvanic corrosion and microbiologically induced corrosion. Also, the effects of environmental and material factors on the corrosion rate are presented. Subsequently, current technology of mitigating these corrosion problems has been discussed, including the development of materials, application of chemical inhibitors and application of protective layers.
Findings
It is stressed that limits exist for each individual mitigation method; therefore, a careful balance between economic life of OCTG and safety in operation is required.
Originality/value
The main purpose of this essay is to give a brief review and detailed introduction and analysis about those technologies.
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Hai Tan, Yanbao Guo, Junqiang Wang, Deguo Wang and Yongjie Cui
The purpose of this study is to investigate the influence of additive particle size on the anti-corrosion behaviors of polyurethane (PU) coating.
Abstract
Purpose
The purpose of this study is to investigate the influence of additive particle size on the anti-corrosion behaviors of polyurethane (PU) coating.
Design/methodology/approach
The graphite (Gr) and poly-graphite (PGr) were used as large size additive and small size additive, respectively. The immersion test and electrochemical test were used to study the corrosion behaviors.
Findings
In the immersion test, the surface of the bare steel sample was corroded uniformly. However, for the steel samples with coatings, the surfaces were corroded locally. This phenomenon showed that the coating can isolate artificial sea-water and samples and then decreased the corrosion rate. Furthermore, the most severe corrosion was observed on the sample with the Gr/PU coating compared with other anti-corrosion coatings. The results of the electrochemical measurements indicated that the corrosion rate of the sample with PGr/PU coating was approximately two times lower than that of the sample with the Gr/PU coating and the sample with PGr/PU coating was hardest to be corroded.
Originality/value
To have a more objective and direct recognition of the particle size effect on the coating quality.