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R. Sridharan - One of the best experts on this subject based on the ideXlab platform.
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effects of routing flexibility sequencing flexibility and Scheduling Decision rules on the performance of a flexible manufacturing system
The International Journal of Advanced Manufacturing Technology, 2011Co-Authors: O A Joseph, R. SridharanAbstract:This paper focuses on a simulation-based experimental study of the interaction among routing flexibility, sequencing flexibility and part sequencing rules in a typical flexible manufacturing system (FMS). Two scenarios are considered for experimentation. Three routing flexibility levels, five sequencing flexibility levels and four Scheduling rules for part sequencing Decision are considered for detailed investigation. The performance of the FMS is evaluated using various measures related to flow time and tardiness of parts. The simulation results are subjected to statistical analysis. The analysis of results reveals that deterioration in system performance can be minimized substantially by incorporating either routing flexibility or sequencing flexibility or both. However, the benefits of either of these flexibilities diminish at higher flexibility levels. Part sequencing rules such as earliest due date and earliest operation due date provide better performance for all the measures at higher flexibility levels.
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simulation modeling and analysis of due date assignment methods and Scheduling Decision rules in a dynamic job shop production system
International Journal of Production Economics, 2011Co-Authors: V. Vinod, R. SridharanAbstract:This paper presents the salient aspects of a simulation study conducted to investigate the interaction between due-date assignment methods and Scheduling rules in a typical dynamic job shop production system. The due-date assignment methods investigated are dynamic processing plus waiting time, total work content, dynamic total work content and random work content method. Seven Scheduling rules are incorporated in the simulation model for the Scheduling of jobs on machines. The performance of the system is evaluated using various measures based on flow time and tardiness of jobs. Simulation experiments are carried out for the different scenarios that arise out of the combination of due-date assignment methods and Scheduling rules. The simulation results are subjected to statistical analysis. It is found that dynamic due-date assignment methods provide better performance. Regression-based metamodels are developed using the simulation results. These metamodels have been found to be valid analytical models of the simulation model.
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Simulation-based metamodels for the analysis of Scheduling Decisions in a flexible manufacturing system operating in a tool-sharing environment.
The International Journal of Advanced Manufacturing Technology, 2010Co-Authors: N. Suresh Kumar, R. SridharanAbstract:This paper presents the salient aspects of developing simulation-based metamodels for Scheduling a typical flexible manufacturing system (FMS) operating in a tool-sharing environment. A discrete-event simulation model of the FMS is developed for the purpose of experimentation. Seven Scheduling rules from the literature are incorporated in the simulation model for part Scheduling Decision. The performance measures considered for analysis are mean flow time, mean tardiness, and percentage of tardy parts. Simulation experiments have been carried out for various scenarios arising out of the settings of the mean interarrival time of parts for processing in the system and due-date factor. The simulation results are used to develop regression-based metamodels. These metamodels have been subjected to systematic analysis. The metamodels are found to offer a good prediction of the performance of FMS within the domain of their definition.
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Development and analysis of Scheduling Decision rules for a dynamic flexible job shop production system: a simulation study
International Journal of Business Performance Management, 2009Co-Authors: V. Vinod, R. SridharanAbstract:The present paper focuses on a simulation-based experimental study of Scheduling Decision rules for Scheduling a typical dynamic flexible job shop production system. The case of partial flexibility is considered wherein an operation can be performed on three different machines. Each operation can be performed efficiently on the primary machine. The other two alternative machines are also capable of performing the same operation, though less efficiently. This is modelled as a percentage increase in the processing time when an operation is performed on an alternate machine. A discrete event simulation model of the job shop system is used as a test bed for experimentation. Three Scheduling rules from the literature are used for machine selection Decision. A total of 15 Scheduling rules from the literature are incorporated in the simulation model for job Scheduling Decisions. Six new Scheduling rules for job Scheduling are also developed and investigated. The performance measures evaluated are the mean flow time, standard deviation of flow time, mean tardiness, standard deviation of tardiness and percentage of tardy jobs. The analysis of simulation results reveal that the proposed Scheduling rules provide better overall performance for the various measures when compared with the existing Scheduling rules.
Khandker Nurul Habib - One of the best experts on this subject based on the ideXlab platform.
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Scheduling Decision styles on leisure and social activities
Transportation Research Part A: Policy and Practice, 2016Co-Authors: Tomás Ruiz, Khandker Nurul HabibAbstract:This paper investigates Scheduling Decisions associated with different types of leisure and social activities. Correlations among Decisions and self-selection biases are explicitly investigated by using a sample selection model with a bivariate probit selection rule. A dataset collected in the first wave of a recent activity-travel Scheduling panel survey carried out in Valencia (Spain) was used for empirical investigation. Significant differences are revealed in the empirical models for leisure and social activities in planning Decisions, including different effects of temporal, companionship and demographic factors. The findings of the empirical model have important implications to travel behavior and activity-travel Scheduling model developments. These results confirm the existence of different mechanisms underlying the activity-travel Decision processes when leisure and social activities are of concerns. Results provide significant insights into enhancing the performances of an activity Scheduling model by capturing accurate activity-travel Scheduling tradeoffs in flexible activity types e.g. leisure and social activities.
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THE SOCIAL DIMENSION IN THE INDIVIDUAL'S ACTIVITY-TRAVEL Scheduling: A MODEL OF SOCIAL EPISODE START TIME AND DURATION
2007Co-Authors: Khandker Nurul Habib, Juan Antonio Carrasco, Eric J. MillerAbstract:This paper investigates a critical issue in activity Scheduling Decision: the social dimension of activity Scheduling. The main objective is to identify how the “with whom” dimension influences Scheduling Decisions of social activity episodes, specifically the start times and durations. Econometric models of combined Decisions regarding “with whom” to participate and when to start or how much time to spend on are estimated to investigate the correlations between “with whom” Decision and the Scheduling Decisions: start time and duration. Data collected by a 7-day activity diary survey are used for the model developments. The findings of the investigations indicate that it is “with whom” we socialize what influences the social activity Scheduling processes more than the travel time or the distances to travel.
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The Social Dimension of Individual’s Activity-Scheduling: How “With Whom” Relates to Activity Start Time and Duration
2007Co-Authors: Khandker Nurul Habib, Eric J. Miller, Juan Antonio CarrascoAbstract:This paper investigates a critical issue in activity Scheduling Decision: the social dimension of activity Scheduling and the main objective is to identify how the “with whom” dimension influences Scheduling Decisions of social activity episodes, specifically the start times and durations. Econometric models of combined Decisions regarding “with whom” to participate and when to start or how much time to spend on are estimated to investigate the correlations between “with whom” Decision and the Scheduling Decisions: start time and duration. Data collected by a 7-day activity diary survey are used for the model developments. The findings of the investigations indicate that it is “with whom” the people we socialize with influences the social activity Scheduling processes more than the travel time or the distances to travel.
V. Vinod - One of the best experts on this subject based on the ideXlab platform.
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simulation modeling and analysis of due date assignment methods and Scheduling Decision rules in a dynamic job shop production system
International Journal of Production Economics, 2011Co-Authors: V. Vinod, R. SridharanAbstract:This paper presents the salient aspects of a simulation study conducted to investigate the interaction between due-date assignment methods and Scheduling rules in a typical dynamic job shop production system. The due-date assignment methods investigated are dynamic processing plus waiting time, total work content, dynamic total work content and random work content method. Seven Scheduling rules are incorporated in the simulation model for the Scheduling of jobs on machines. The performance of the system is evaluated using various measures based on flow time and tardiness of jobs. Simulation experiments are carried out for the different scenarios that arise out of the combination of due-date assignment methods and Scheduling rules. The simulation results are subjected to statistical analysis. It is found that dynamic due-date assignment methods provide better performance. Regression-based metamodels are developed using the simulation results. These metamodels have been found to be valid analytical models of the simulation model.
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Development and analysis of Scheduling Decision rules for a dynamic flexible job shop production system: a simulation study
International Journal of Business Performance Management, 2009Co-Authors: V. Vinod, R. SridharanAbstract:The present paper focuses on a simulation-based experimental study of Scheduling Decision rules for Scheduling a typical dynamic flexible job shop production system. The case of partial flexibility is considered wherein an operation can be performed on three different machines. Each operation can be performed efficiently on the primary machine. The other two alternative machines are also capable of performing the same operation, though less efficiently. This is modelled as a percentage increase in the processing time when an operation is performed on an alternate machine. A discrete event simulation model of the job shop system is used as a test bed for experimentation. Three Scheduling rules from the literature are used for machine selection Decision. A total of 15 Scheduling rules from the literature are incorporated in the simulation model for job Scheduling Decisions. Six new Scheduling rules for job Scheduling are also developed and investigated. The performance measures evaluated are the mean flow time, standard deviation of flow time, mean tardiness, standard deviation of tardiness and percentage of tardy jobs. The analysis of simulation results reveal that the proposed Scheduling rules provide better overall performance for the various measures when compared with the existing Scheduling rules.
Cheng Zhan - One of the best experts on this subject based on the ideXlab platform.
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SVC Video Delivery in Cache-Enabled Wireless HetNet
IEEE Systems Journal, 2018Co-Authors: Cheng ZhanAbstract:In heterogeneous cellular network (HetNet), costly transmissions from the macro base stations can be reduced by caching popular videos at small base station and user equipment. In this paper, we consider the joint transmission Scheduling and rate allocation problem of scalable video coding streaming over cache-enabled wireless HetNet. We formulate the joint optimization problem to maximum system capacity with an mixed-integer linear programming, and prove that finding the optimal solution is NP-hard. Heuristic solution was proposed based on an iterative algorithm focusing on transmission Scheduling Decision and rate allocation, where transmission capacity is allocated flexibly and the quality of service of users is satisfied. Simulation results have shown that the proposed scheme can significantly improve the video-delivery performance for all users, in comparison with existing schemes.
Muhammad Hasibur Rashid Chayon - One of the best experts on this subject based on the ideXlab platform.
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a novel lte Scheduling algorithm for green technology in smart grid
PLOS ONE, 2015Co-Authors: Mohammad Nour Hindia, Ahmed Wasif Reza, Kamarul Ariffin Noordin, Muhammad Hasibur Rashid ChayonAbstract:Smart grid (SG) application is being used nowadays to meet the demand of increasing power consumption. SG application is considered as a perfect solution for combining renewable energy resources and electrical grid by means of creating a bidirectional communication channel between the two systems. In this paper, three SG applications applicable to renewable energy system, namely, distribution automation (DA), distributed energy system-storage (DER) and electrical vehicle (EV), are investigated in order to study their suitability in Long Term Evolution (LTE) network. To compensate the weakness in the existing Scheduling algorithms, a novel bandwidth estimation and allocation technique and a new Scheduling algorithm are proposed. The technique allocates available network resources based on application’s priority, whereas the algorithm makes Scheduling Decision based on dynamic weighting factors of multi-criteria to satisfy the demands (delay, past average throughput and instantaneous transmission rate) of quality of service. Finally, the simulation results demonstrate that the proposed mechanism achieves higher throughput, lower delay and lower packet loss rate for DA and DER as well as provide a degree of service for EV. In terms of fairness, the proposed algorithm shows 3%, 7 % and 9% better performance compared to exponential rule (EXP-Rule), modified-largest weighted delay first (M-LWDF) and exponential/PF (EXP/PF), respectively.
