Society of Reliability Engineering

Toronto, Canada

Society of Reliability Engineering

Toronto, Canada
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Foumani M.,Monash University | Jenab K.,Society of Reliability Engineering
International Journal of Robotics and Automation | Year: 2013

This paper deals with the scheduling of a hybrid robotic cell (HRC) with the objective of minimizing the cycle time, while the robot is able to concurrently perform a special operation on the part and transfer it between two machines. In this case, the robot is a material handling and operating device. It is assumed that parts should be indirectly transferred between all machines after processing on the hybrid robot during the implementation of a special cycle. We restrict ourselves to the linearly configured robotic cells, where identical parts are produced. To analyse this problem, the authors initially provide the lower bound of the cycle time and then examine the performance of practical motion cycles based on this lower bound. A comparative analysis shows the regions where the performance of HRCs is higher than that of classical robotic cells.


Jenab K.,Society of Reliability Engineering | Sarfaraz A.,California State University, Northridge | Ameli M.T.,Power and Water University of Technology, Tehran
Journal of Engineering Design | Year: 2013

Complexity of selecting a design at the conceptual design (CD) stage in the product development can be increased by imprecise and uncertain product requirements. For many companies, mitigating the decision complexity at the CD stage can result in succeeding in the competitive market. Therefore, having a robust decision-making tool embedded with conflict resolution to valuing potential new product investments to justify their development strategy becomes important. However, limitations, such as uncertainty and inability to provide the information on the compatibility between design concepts, remain as challenges for the concept selection method. Therefore, this study reports a multi-layer graph model that not only resolves the conflict of experts' opinion but also aggregates the layers corresponding to decision criteria into a single graph. This graph is used to evaluate the CD alternatives to find the best alternative. An illustrative example is demonstrated to present the application of the model. © 2013 Copyright Taylor and Francis Group, LLC.


Jenab K.,Society of Reliability Engineering | Seyedhosseini S.M.,IUST | Khoury S.,East Carolina University | Sarfaraz A.,California State University, Northridge
Clean Technologies and Environmental Policy | Year: 2012

While low air quality may have negative effect on product quality in manufacturing, it has become a social concern as there are many reports on the result of worker exposure to low air quality. Manufacturing experienced a boom increase after World War I and II due to higher demands for products that gave birth to an unhealthy environment for workers. For example, Epidemiological investigations have linked unhealthy environment (air pollution) to adverse health effects such as respiratory diseases, and increased mortality and morbidity. These manufacturing systems represented less than 14% of the private employment and accounted for 42% of the nonfatal workplace illnesses. It is evident that manufacturing systems still have significant impact on the health of workers. Therefore, this study proposes a fuzzy Bayesian air quality monitoring model that is able to mimic human-like intelligent behavior in the environmental analysis. An illustrative example is demonstrated to present the application of the model. © US Government 2012.


Samarrokhi A.,Multi Media University | Jenab K.,Society of Reliability Engineering | Arumugam V.C.,Multi Media University | Weinsier P.D.,Bowling Green State University
International Journal of Industrial and Systems Engineering | Year: 2015

As researchers and practitioners alike have focused on the importance of sustainability of competitive advantage, this study examined whether or not various operations strategies - low-cost leadership, quality differentiation, innovation differentiation and service differentiation - have serious effects on sustainability of competitive advantage, and whether suitable resources can improve the effects as a moderator. This study was an exploratory descriptive project with primary data collected from 80 Malaysian manufacturing companies. Results were analysed using bivariate correlation and multiple regressions. The findings showed that suitable resources cannot be considered as a strong moderator for the effects of low-cost leadership, quality differentiation and innovation differentiation on sustainable competitive advantage (SCA). On the other hand, suitable resources leveraged the impact of service differentiation on SCA. Given that no studies on this point were found in the literature, the findings from this study should bring to light several valuable points for scholars and manufacturers. © 2015 Inderscience Enterprises Ltd.


Jenab K.,Society of Reliability Engineering | Rashidi K.,Ryerson University | Moslehpour S.,University of Hartford
International Journal of Enterprise Information Systems | Year: 2013

This paper reports a newly developed Condition-Based Maintenance (CBM) model based on Artificial Neural Networks (ANNs) which takes into account a feature (e.g., vibration signals) from a machine to classify the condition into normal or abnormal. The model can reduce equipment downtime, production loss, and maintenance cost based on a change in equipment condition (e.g., changes in vibration, power usage, operating performance, temperatures, noise levels, chemical composition, debris content, and volume of material). The model can effectively determine the maintenance/service time that leads to a low maintenance cost in comparison to other types of maintenance strategy. Neural Networks tool (NNTool) in Matlab is used to apply the model and an illustrative example is discussed. Copyright © 2013, IGI Global.


Foumania M.,Islamic Azad University at Qazvin | Jenabb K.,Society of Reliability Engineering
International Journal of Computer Integrated Manufacturing | Year: 2013

In this paper, we study the robotic cell scheduling problem with two machines and identical parts. It is assumed that there are flexibility in the robot type, the pickup category, and the cell layout. Also, the objective is to find the robot move sequence that minimizes the cycle time. One of the assumptions in the pertaining literature is that the occupied robot cannot load a part into an occupied machine. In contrast, the authors consider the robot has the swap ability, so the busy robot will be able to load concurrently a part into an occupied machine. It is also presumed that each part can entirely be processed by one computer numerical control (CNC) machine. A wide range of m-unit cycles named pure cycles has been well documented in the literature. However, a new class of the pure cycles which can produce less than m parts is defined in this study. We prove that the improved pure cycles always dominate pure cycles. The performance of these improved pure cycles for linearly and circularly configured robotic cells, based on free-pickup and no-wait categories are examined. Also, the number of machines which should be idle or busy to obtain an optimal cycle is determined. The novelty of this research is the introduction of the improved pure cycles that increase the long run average throughput rate and also reduce the number of machines. Copyright © 2013 Taylor and Francis.


Jenab A.,Sharif University of Technology | Karimi Taheri A.,Sharif University of Technology | Jenab K.,Society of Reliability Engineering
Journal of Materials Engineering and Performance | Year: 2013

In this study, artificial neural network (ANN) was used to model the hot deformation behavior of 7075 aluminum alloy during compression test, in the strain rate range of 0.0003-1 s-1 and temperature range of 200-450 C. The inputs of the model were temperature, strain rate, and strain, while the output of the model was the flow stress. The feed-forward back-propagation network with two hidden layers was built and successfully trained at different deformation domains by Levenberg-Marquardt training algorithm. Comparative analysis of the results obtained from the hyperbolic sine, the power law constitutive equations, and the ANN shows that the newly developed ANN model has a better performance in predicting the hot deformation behavior of 7075 aluminum alloy. © 2012 ASM International.


Noori K.,Ryerson University | Jenab K.,Society of Reliability Engineering
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans | Year: 2013

In this paper, a fuzzy Bayesian traction control system was developed for rail vehicles with speed sensors in intelligent transportation systems. The system included three main components to sense, process, and classify the traction conditions. The information received from the speed sensors is used to avoid any error that might cause service interruption and unnecessary maintenance. There are, however, occasions when these signals may not be sensed, transmitted, or received precisely due to unexpected conditions such as noise. Therefore, in this study, the ã-level fuzzy Bayesian model was proposed for sensor-based traction control systems. In order to apply the fuzzy Bayesian concept, the wheel acceleration was assumed to be a fuzzy random variable for membership function with fuzzy prior distribution. Using the fuzzy signals, the intelligent model calculates the risk of classification for the system that results in determining the misclassification decision at a minimum cost. Themodel's engine involves a mathematical problem which can be solved in any programming language in onboard or embedded computers. The conceptual model was applied to a case study with promising results, which can be used for target systems or simulation. © 2013 IEEE.


Foumani M.,University of Tehran | Jenab K.,Society of Reliability Engineering
International Journal of Production Research | Year: 2012

In this paper, reentrant robotic cells composed of a robot with swap ability for a single part type is studied. In this regard, we restrict our attention to the two-machine reentrant cell scheduling problem. In the cell, a part visits the machines at least once. To minimise the cycle time, the sequence of robot moves must be optimised. Based on our previous study on the optimality of robotic cells, we restrict our investigation to only one-unit cycles. Therefore, all one-unit cycles are generated and their cycle time formulae are developed. Initially, we determine both essential and sufficient conditions for different cycles to be optimal and present the regions of optimality when each part reenters the first machine two times. We determine optimality conditions for different cycles when each part reenters both machines two times. Finally, sensitivity analysis is performed for both cases and the influence of the parameter values in the regions of optimality for each cycle is shown. © 2012 Copyright Taylor and Francis Group, LLC.


Sarfaraz A.,California State University, Northridge | Jenab K.,Society of Reliability Engineering | D'Souza A.C.,California State University, Northridge
International Journal of Production Research | Year: 2012

An enterprise resource planning (ERP) system is a software solution that puts together a package that allows information flow through various levels and departments of an organisation. Manufacturing enterprises have understood the importance of information systems within their organisations and have begun using them extensively. To achieve the right fit of the ERP system to the business organisation, customisation may be needed. However, customisation is seen as an issue in the application of an ERP. There are many attributes that can be considered for the selection of an ERP system. In this paper, we have applied fuzzy analytical hierarchy process (FAHP) to a framework to evaluate an ERP for implementation purposes. The framework provides different methods for customisation of ERP. With the use of FAHP, obtained results provide a better match in terms of understanding the problem and giving options that are a closer fit to the requirements rather than providing the correct decision to be taken. This paper is aimed at helping managers to understand and select among the various customisation options available. The application of FAHP to the framework is demonstrated with opinions gathered from managers in various companies. These opinions are translated into numerical values and are compared to the problem as a whole. © 2012 Copyright Taylor and Francis Group, LLC.

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