The Experts below are selected from a list of 137883 Experts worldwide ranked by ideXlab platform
Qianmei Feng - One of the best experts on this subject based on the ideXlab platform.
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a mathematical framework for sequential passenger and baggage screening to enhance aviation security
Computers & Industrial Engineering, 2009Co-Authors: Hande Sahin, Qianmei FengAbstract:To enhance security at both national and global levels, airport security screening Systems must be designed with high efficiency and effectiveness, which are affected by both screening technologies and operational procedures for utilizing those technologies. The operational efficiency and aviation security can be enhanced if an effective passenger prescreening System is integrated into the baggage screening System. In this paper, passenger information is incorporated into a two-level checked-baggage screening System to determine the screening strategy for different subsets of passengers. By deploying a passenger prescreening System, this paper considers selectively applying baggage screening procedures for 100% screening. Since new image-based screening technologies differ widely in cost and accuracy, a comprehensive mathematical framework is developed in this paper for selecting technology or combination of technologies for efficient 100% baggage screening. The objective is to determine the optimal combination of technologies and the setting of threshold values for these screening technologies as well. Probability and optimization techniques are used to quantify and evaluate the risk and cost-effectiveness of various device deployment configurations, which are captured by using a System Life-Cycle cost model. Numerical analysis for all possible System arrangements is demonstrated.
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designing airport checked baggage screening strategies considering System capability and reliability
Reliability Engineering & System Safety, 2009Co-Authors: Qianmei Feng, Hande Sahin, Kailash C KapurAbstract:Emerging image-based technologies are critical components of airport security for screening checked baggage. Since these new technologies differ widely in cost and accuracy, a comprehensive mathematical framework should be developed for selecting technology or combination of technologies for efficient 100% baggage screening. This paper addresses the problem of setting threshold values of these screening technologies and determining the optimal combination of technologies in a two-level screening System by considering System capability and human reliability. Probability and optimization techniques are used to quantify and evaluate the cost- and risk-effectiveness of various deployment configurations, which is captured by using a System Life-Cycle cost model that incorporates the deployment cost, operating cost, and costs associated with System decisions. Two System decision rules are studied for a two-level screening System. For each decision rule, two different optimization approaches are formulated and investigated from practitioner's perspective. Numerical examples for different decision rules, optimization approaches and System arrangements are demonstrated.
Kailash C Kapur - One of the best experts on this subject based on the ideXlab platform.
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designing airport checked baggage screening strategies considering System capability and reliability
Reliability Engineering & System Safety, 2009Co-Authors: Qianmei Feng, Hande Sahin, Kailash C KapurAbstract:Emerging image-based technologies are critical components of airport security for screening checked baggage. Since these new technologies differ widely in cost and accuracy, a comprehensive mathematical framework should be developed for selecting technology or combination of technologies for efficient 100% baggage screening. This paper addresses the problem of setting threshold values of these screening technologies and determining the optimal combination of technologies in a two-level screening System by considering System capability and human reliability. Probability and optimization techniques are used to quantify and evaluate the cost- and risk-effectiveness of various deployment configurations, which is captured by using a System Life-Cycle cost model that incorporates the deployment cost, operating cost, and costs associated with System decisions. Two System decision rules are studied for a two-level screening System. For each decision rule, two different optimization approaches are formulated and investigated from practitioner's perspective. Numerical examples for different decision rules, optimization approaches and System arrangements are demonstrated.
Hande Sahin - One of the best experts on this subject based on the ideXlab platform.
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a mathematical framework for sequential passenger and baggage screening to enhance aviation security
Computers & Industrial Engineering, 2009Co-Authors: Hande Sahin, Qianmei FengAbstract:To enhance security at both national and global levels, airport security screening Systems must be designed with high efficiency and effectiveness, which are affected by both screening technologies and operational procedures for utilizing those technologies. The operational efficiency and aviation security can be enhanced if an effective passenger prescreening System is integrated into the baggage screening System. In this paper, passenger information is incorporated into a two-level checked-baggage screening System to determine the screening strategy for different subsets of passengers. By deploying a passenger prescreening System, this paper considers selectively applying baggage screening procedures for 100% screening. Since new image-based screening technologies differ widely in cost and accuracy, a comprehensive mathematical framework is developed in this paper for selecting technology or combination of technologies for efficient 100% baggage screening. The objective is to determine the optimal combination of technologies and the setting of threshold values for these screening technologies as well. Probability and optimization techniques are used to quantify and evaluate the risk and cost-effectiveness of various device deployment configurations, which are captured by using a System Life-Cycle cost model. Numerical analysis for all possible System arrangements is demonstrated.
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designing airport checked baggage screening strategies considering System capability and reliability
Reliability Engineering & System Safety, 2009Co-Authors: Qianmei Feng, Hande Sahin, Kailash C KapurAbstract:Emerging image-based technologies are critical components of airport security for screening checked baggage. Since these new technologies differ widely in cost and accuracy, a comprehensive mathematical framework should be developed for selecting technology or combination of technologies for efficient 100% baggage screening. This paper addresses the problem of setting threshold values of these screening technologies and determining the optimal combination of technologies in a two-level screening System by considering System capability and human reliability. Probability and optimization techniques are used to quantify and evaluate the cost- and risk-effectiveness of various deployment configurations, which is captured by using a System Life-Cycle cost model that incorporates the deployment cost, operating cost, and costs associated with System decisions. Two System decision rules are studied for a two-level screening System. For each decision rule, two different optimization approaches are formulated and investigated from practitioner's perspective. Numerical examples for different decision rules, optimization approaches and System arrangements are demonstrated.
Sandeep Grover - One of the best experts on this subject based on the ideXlab platform.
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developing the weighted ism micmac framework for process design stage of production System Life Cycle
International Journal of Process Management and Benchmarking, 2017Co-Authors: Rajesh Attri, Sandeep GroverAbstract:The main purpose of this paper is to develop a framework for the process design stage of production System Life Cycle (PSLC) using weighted interpretive structural modelling (ISM) and MICMAC analysis. In the present study, various quality enabled factors (QEFs) of process design stage has been identified through the extensive literature analysis and opinions of industrial and academic experts. In order to validate the identified QEFs, a questionnaire survey has been utilised. Then, QEFs are analysed by using ISM approach in order to develop the relationship among the considered QEFs. Afterwards, Matriced Impacts Croises Multiplication Appliqueeaun Classement (MICMAC) analysis is used to identify the driving and dependence power of QEFs. Lastly, a method of effectiveness index (EI) has been used for identifying the key areas of process design stage of PSLC. This index can be effectively utilised by the manufacturing organisations to benchmark their process design phase through effectively utilising the QEFs reported in this work.
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application of preference selection index method for decision making over the design stage of production System Life Cycle
Journal of King Saud University: Engineering Sciences, 2015Co-Authors: Rajesh Attri, Sandeep GroverAbstract:Abstract The Life Cycle of production System shows the progress of production System from the inception to the termination of the System. During each stage, mainly in the design stage, certain strategic decisions have to be taken. These decisions are more complex as the decision makers have to assess a wide range of alternatives based on a set of conflicting criteria. As the decision making process is found to be unstructured, characterized by domain dependent knowledge, there is a need to apply an efficient multi-criteria decision making (MCDM) tool to help the decision makers in making correct decisions. This paper explores the application of a novel MCDM method i.e. Preference selection index (PSI) method to solve various decision-making problems that are generally encountered in the design stage of production System Life Cycle. To prove the potentiality, applicability and accuracy of PSI method in solving decision making problem during the design stage of production System Life Cycle, five examples are cited from the literature and are compared with the results obtained by the past researchers.
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analyzing the scheduling System stage of production System Life Cycle
Management Science Letters, 2015Co-Authors: Rajesh Attri, Sandeep GroverAbstract:Article history: Received January 20, 2015 Received in revised format 6 February 2015 Accepted 15 March 2015 Available online March 15 2015 The main objective of this paper is to identify and understand the relationship dynamics among the quality enabled factors affecting the scheduling stage of production System Life Cycle. For this purpose, Interpretative structural modelling (ISM) approach has been utilized for developing the relationships among the various factors of the scheduling System stage. Afterwards, MICMAC (Matriced Impacts Croises Multiplication Appliqueeaun Classement) analysis has been carried out in order to classify the factors into different categories and to disclose the direct and indirect effects of each factor on the scheduling System. It is an approach for refining the decision making in the scheduling stage of production System Life Cycle. Growing Science Ltd. All rights reserved. 5 © 201
Haddar M. - One of the best experts on this subject based on the ideXlab platform.
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Prediction of obsolescence degree as a function of time: A mathematical formulation
'Elsevier BV', 2021Co-Authors: Zolghadri M., Zeddini B., Barkallah M., Haddar M.Abstract:International audiencePredicting the obsolescence risk of components is an important challenge in System Life-Cycle management to improve its durability. The obsolescence degree measures the obsolescence occurrence risk. Thus, it expresses the probability that an entity will become obsolete within a given time horizon. Some mathematical techniques have already been proposed to deal with this problem. Recent studies have also shown that machine learning methods can be an effective way to improve prediction capability. However, these two classes of techniques assess the obsolescence degree by a scalar at observation time. This does not permit the projection of its possible evolution over time. This paper proposes a new approach based on probability distribution to model the obsolescence degree as a function of time. Based on sales data, the obsolescence degree is modeled as a function of time, and the remaining time-to-obsolescence is inferred. The proposed approach is tested in the prediction of smartphones’ obsolescence. This study's results are then analyzed while proposing future work to be carried out to increase the approach's applicability
