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The purpose of this paper is performance enhancement of ferrite-assisted synchronous reluctance (FASR) motor using multi-objective differential evolution (MODE) algorithm, considering the significant geometric design parameters.

This work illustrates the optimization of FASR motor using MODE algorithm to enhance the performance of the motor considering barrier angular positions, magnet height, magnet axial length, flux barrier angles of the rotor and air gap length. In the optimization routine to determine the performance parameters, generalized regression neural network-based interpolation is used. The results of MODE are validated with multi-objective particle swarm optimization algorithm and multi-objective genetic algorithm.

The design optimization procedure developed in this work for FASR motor aims at achieving multiple objectives, namely, average torque, torque ripple and efficiency. With multiple objectives, it is essential to give the designer the tradeoff between different objectives so as to arrive at the best design suitable for the application. The results obtained in this work justify the application of the MODE approach for FASR motor to determine the various feasible solutions within the bounds of the design.

Analysis, design and optimization of synchronous reluctance motor has been explored in detail to establish its potential for variable speed applications. In recent years, the focus is toward the electromagnetic design of hybrid configurations such as FASR motor. It is in this preview this work aims to achieve optimal design of FASR motor using multi-objective optimization approach.

The results of this work will supplement and encourage the application of FASR motor as a viable alternate for variable speed drive applications. In addition, the application of MODE to arrive at better design solutions is demonstrated.

The approach presented in this work focuses on obtaining enhanced design of FASR motor considering average torque, torque ripple and efficiency as performance measures. The posteriori analysis of optimization provides an insight into the choice of parameters involved and their effects on the design of FASR motor. The efficacy of the optimization routine is justified in comparison with other multi-objective algorithms.

The development of a theoretical model for predicting the combustion, performance and emission characteristics of a cylinder head porous medium engine becomes necessary due to imposed requirements from the viewpoint of power, efficiency and toxic gases in the exhaust. The cylinder head porous medium engine was found to have superior combustion, performance and emission characteristics when compared to a conventional diesel engine. The paper aims to discuss these issues.

Due to heterogeneous and transient operation of diesel engine under conventional and porous medium mode, the combustion process becomes complex, and achieving a pure analytical solution to the problem was difficult. Although, closer accuracy of correlation between the computer models and the experimental results is improbable, the computer model will give an opportunity to quantify the combustion and heat transfer processes and thus the performance and emission characteristics of an engine.

In this research work, a theoretical model was developed to predict the combustion, performance and emission characteristics of a cylinder head porous medium engine through two-zone combustion modeling technique, and the results were validated through experimentation.

The two-zone model developed by using programming language C for the purpose of predicting combustion, performance and emission characteristics of a porous medium engine is the first of its kind.

A perfect knowledge management (KM) initiative is one that achieves its objectives without any failure during a pre-defined period. However, KM implementation is not perfect in every organization as it requires substantial changes in organizational infrastructures, including culture, structure, and technology. Therefore, the purpose of this paper is to propose a model for assessing the reliability of KM to help organizations evaluate their ability to implement KM successfully by identifying key reliability variables, modeling the complex interaction structure among variables, and determining the probability of failure for each KM capability.

In this study, relevant variables are identified by a thorough analysis of related references in literature. In order to determine the compound structure of complicated interactions among variables, a group-based approach is utilized. Based on the combined cognitive maps, a cognitive network is constructed as a framework for graphically representing the logical relationships between variables and capturing the uncertainty in the dependency among these variables using conditional probabilities. The applicability of the proposed approach and the efficacy of the model was verified and validated with data from a banking institution.

Results show that KM reliability can be defined by the degree to which required KM capabilities, including infrastructure and process capabilities, have the ability to perform as intended in a certain organizational environment. Furthermore, it is demonstrated that reliability assessment of KM through a hybrid approach of fuzzy cognitive map and Bayesian network is possible and useful.

The proposed reliability assessment model facilitates the process of understanding why and how failures occur in KM. Moreover, the proposed approach evaluates the probability of success for each variable as well as for the entire KM initiative. Therefore, it can provide insight for managers and executives into the degree of reliability for their existing KM and prevention of failures in vital factors through necessary actions.

The suggested approach to KM reliability assessment is a novel method that provides powerful arguments for a more holistic view of KM reliability factors, which is crucial for the successful implementation of KM.

The purpose of this paper is to present a comprehensive and useful insight into the knowledge management (KM) in the supply chain (SC) research and provide gaps and future research implications. The literature review includes a metadata analysis of KM in SC research along a number of dimensions, the existing dimensions as well as dimensions which are previously not been presented within the current area to predict the future role of KM in SC.

The study is to examine the status of KM in SC within academic and industrial research in the last 14 years. The systematic literature review of KM in SC is based on 176 peer reviewed articles selected through a multi-stage process, from 1,063 studies during January 2001-June 2014.

An increase in the interest level of incorporating KM in SC is clearly visible while studying available literature. The statistics prove that research in the field of KM in SC is overwhelmingly empirically oriented. Another major finding shows that the survey model score highest among all the research method used in the discipline. In general, the research is more interpretive in nature and provides a frame for theoretical critique. The result indicates that there is a need to use of advanced data analysis techniques with traditional data analysis technique.

The review simply provides statistical summary which is easy to understand for practitioner and provide increased insights on the current state of research for the KM in SC.

This study aims to find a new alternate source for biodiesel conversion. The alternate source must be easily available, and it should give more oil yield than available edible, inedible sources. To meet the fuel demand in the transportation sector with edible oil-based biodiesel causes food versus fuel crisis. In addition to this, it increases NO_x and CO₂ in the environment.

The present paper reviews the comparison of algae oil yield, fatty acid composition and its biodiesel properties’ effect on diesel engine characteristics.

Algae were the only source to fulfil fuel demand because its oil and biodiesel yield is higher than other sources. Algae can grow by capturing carbon dioxide from the environment, and its fatty acid composition is more suitable to run diesel engines.

There is an improvement in engine performance–emission tradeoff with algal biodiesel.

This paper aims to overcome some of the practical difficulties in assistive control of exoskeletons by developing a new assistive algorithm, called output feedback assistive control (OFAC) method. This method does not require feedbacks from force, electromyography (EMG) or acceleration signals or even their estimated values.

The presented controller uses feedbacks from position and velocity of the output link of series elastic actuators (SEAs) to increase the apparent integral admittance of the assisted systems. Optimal controller coefficients are obtained by maximizing the assistance ratio subjected to constraints of stability, coupled stability and a newly defined comfort measure.

The results confirm the effectiveness of using the inherent properties of SEAs for removing the need for extra controversial sensors in assistive control of 1 degree of freedom (1-DOF) SEA powered exoskeletons. The results also clearly indicate the successful performance of the OFAC method in reducing the external forces required for moving the assisted systems.

As the provided experiments indicate, the proposed method can be easily applied to single DOF compliantly actuated exoskeletons to provide a more reliable assistance with lower costs. This is achieved by removing the need for extra controversial sensors.

This paper proposes a novel assistive controller for SEA-powered exoskeletons with a simple model-free structure and independent of any information about interaction forces and future paths of the system. It also removes the requirement for the extra sensors and transforms the assistive control of the compliantly actuated systems into a simpler problem of position control of the SEA motor.

The purpose of this paper is to investigate the opaque inventory information disclosure strategy for an online retailer who sells two substitutable products to customers in two selling periods.

The authors develop a two-period model where an online retailer sells two substitute products with two inventory composition structures to maximize profits. The authors investigate the optimal inventory disclosure decision from both ex post and ex ante perspectives. Sensitivity analysis is performed to investigate the effects that discount rate, transaction cost and the probability of agreeable inventory situation have on the equilibrium disclosure outcome. The authors also consider risk-averse customers and horizontally differentiated products to highlight the robustness of our results.

The authors find that the online retailer will choose the opaque information disclosure when attempting to increase revenue and reduce the mismatch of supply and demand in both ex post and ex ante inventory information conditions. Comparing with ex post disclosure strategies, ex ante opaque disclosure is optimal in a larger price region, and the total revenues gap between opaque disclosure and complete disclosure gradually increase as discount rate, transaction cost or the probability of agreeable inventory situation decreases. Furthermore, strategic customers may tend to be risk neutral when faced with opaque inventory information in a two-period sales setting.

This current paper is the first paper to study the online retailer's inventory information disclosure strategy in two selling periods. Moreover, this paper presents the conditions under which the online retailer should share complete or opaque inventory information with customers to maximize the online retailer's total revenues.

The purpose of this study is to help the researchers, public, industries and government to realize the tremendous trends to improve the power quality of both sources and load side.

The work carried out in the Facts device and power quality issues.

Maintaining the quality of electric power is always a challenging task. The effect of power electronics devices leads to improper power quality. The use of FACTS devices is preferably the best approach to treat power-quality-related problems. Usually, all FACTS devices are constructed to operate on the side of either the source side or the load.

This paper explores a broad comprehensive study of various types of power quality problems and classification of FACTS devices with its recent developments. Furthermore unified power quality conditioner (UPQC) is particularly reviewed to highlight the advantages over other compensating devices. An exhaustive study of literature has been carried out and most significant concepts are presented

The purpose of this paper is to determine the critical factors (CRFs) of IS/ISO/IEC 17025:2005 laboratory accreditation and indicators of the performance (IOPs) in the testing/calibration laboratories. The impact of accreditation on the performance is analyzed using the level of presence of critical factors that can be used to benchmark the best practices in the accredited testing and calibration laboratories.

A questionnaire is designed on the basis of an extensive literature review on laboratory accreditation and performance. Based on the responses from pilot study, the developed instrument is tested for its unidimensionality, reliability and validity. Multiple regression analysis is carried out to analyze the impact of critical factors on the IOPs.

The findings reveal that the six distinct critical dimensions of laboratory accreditation (which are the independent variables) have a significant impact on the performance of the accredited testing/calibration laboratories. The performance is measured by the dependent variables which are the IOPs. The customer satisfaction, employee satisfaction, laboratory performance, image of the laboratory, the number of increased customers and loyalty of the existing customers are highly influenced by the accreditation which in turn improves the performance to gain the competitive advantage.

Contribution to research is in the area of laboratory accreditation and the performance measurement by the development of a comprehensive instrument to analyze the Laboratory Quality Management System. The results are dependent on the number of respondents who are the quality/technical managers.

This instrument would enable the accredited laboratories to analyze their performance through the feedback from the quality/technical managers to gain credibility and to continually improve and benchmark the quality management system in alignment with the quality policies.

This paper proposes an instrument to measure and benchmark the performance of the accredited testing and calibration laboratories.

The analysis focuses on the perspective of overall strategic fit in the supply chain of onion seed in Nepal. The purpose of this paper is to analyze current status of onion seed sector in Nepal from the perspective of selected functional strategies that fit in supply chain, and also identifies how various actors involved coordinate among each other.

The integrated approach has been used. It is an actor-oriented approach used to trace product flows. Supply chains generally include several actors for the onion seeds supply chain in Nepal, all those actors may or may not be applicable. However, initial approach would be to first look for these actors then subsequently identify existing supply and its actors. Some traditional methods of product and market analysis isolate operational costs along various stages of production. But, this paper used more comprehensive methodology that has taken into account an entire spectrum of associated activities and inputs.

Result revealed that the market actors of supply chain are taking significant benefit of value addition due to more investment in value creation. Vertical coordination is completely absent and the existence of horizontal coordination is in fragile form. The functional strategies in the upstream as well as the market side are not properly matching with the preference of the downstream actors of supply chain. It is suggested that the supply chain activities should work with different functional strategies such as proper drying and storage of seed and production of preferred varieties to satisfy the need of end consumers.

It covers a single crop.

The findings and methodological discussions aim at providing practical guidance for supply chain researchers on how to analyze the strategic fit in supply chain.