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Papers by Dr. Nidhish Nidhiry

Research paper thumbnail of Scheduling optimization of a flexible manufacturing system using a modified NSGA-II algorithm

Advances in Production Engineering & Management, Sep 7, 2014

The Flexible Manufacturing System (FMS) belongs to the class of production systems in which the m... more The Flexible Manufacturing System (FMS) belongs to the class of production systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resources. Nowadays, FMS must attend to the demands of market needs for personalized products. Consequently the life-cycle of a product tends to be shorter and a greater variety of products must be produced in a simultaneous manner. The FMS considered in this work has 16 CNC machine tools for processing 80 varieties of products. Since the minimizing of a machine's idle time and thus the minimizing of total penalty costs are contradictory objectives, the problem has a multi-objective nature. The objective of this research was to develop a modified nondominated sorting genetic algorithm (NSGA-II) for multi-objective optimization. The research will then evaluate and discuss the performance of the modified NSGA-II against the original NSGA-II. The existing NSGA II has been modified in order to improve the global optimal front and reduce the computational effort. The result has been compared with the existing NSGA-II, cuckoo search (CS), particle swarm optimization algorithm (PSO), etc. and it was found that the proposed approach was superior.

Research paper thumbnail of Comparison of mechanical and wearing properties between LM6, LM6/B4C and LM6/B4C/Gr aluminium metal matrix composites

Materials Today: Proceedings

Abstract Due to greater specific modulus, better wear resistance, excellent specific strength, an... more Abstract Due to greater specific modulus, better wear resistance, excellent specific strength, and declined coefficient of thermal expansion value, particulate reinforced aluminum matrix composites have acquired appreciable consideration. Casting route and powder metallurgy are the commonly used fabrication methods from which we select stir casting technique due to its simplicity and low expense. In this study mechanical properties like tensile strength, yield strength, hardness, wear, coefficient of friction (COF) and frictional properties of light metal (LM6), LM6/ Boron Carbide (B4C) and LM6/B4C/Graphite (Gr) 2% were analyzed with the aid of Universal Testing Machine (UTM), Rockwell Hardness Tester and Pin on Disk Tester. B4C was chosen due to its excellent reinforcement properties compared to silicon carbide (SiC) and alumina. Gr (2%) was added in one sample to obtain better tribological as well as better sliding lubricating characteristics. The test outcomes reveal that by increasing the percent of B4C particles in the LM6 matrix, the mechanical as well as tribological properties are improved and the new material developed can replace conventional LM6 aluminium alloy in its applications.

Research paper thumbnail of Development of standing aid for physically disabled people including Cerebral palsy

Materials Today: Proceedings

Research paper thumbnail of A Combined Objective Genetic Algorithm for Scheduling of Machines in FMS

The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main ... more The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resource. Nowadays, the FMS must attend the demand of the market needs for personalized products. Consequently the product life cycle tends to be shorter and a greater variety of products must be produced in a simultaneous manner. In this paper, we present a Genetic Algorithm based scheduling of Flexible manufacturing system. This work is considering multiple objectives, i.e., minimizing the idle time of the machine and minimizing the total penalty cost for not meeting the deadline concurrently. Software is developed for getting optimum sequence of operation. FMS considered in this work has 16 CNC Machine tools for processing 80 varieties of products. After 1500 generations of GA the global optimum schedule is obtained.

Research paper thumbnail of Scheduling Optimization of FMS Using NSGA-II

The Flexible Manufacturing Systems (FMS) belong to that class of productive systems whose main ch... more The Flexible Manufacturing Systems (FMS) belong to that class of productive systems whose main characteristic is the simultaneous execution of several processes and the sharing of a finite set of resources. Now days, FMS must attend to the demand of the ma...

Research paper thumbnail of Evaluation of Genetic Algorithm Approach for Scheduling Optimization of Flexible Manufacturing Systems

The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main ... more The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resource. Nowadays, the FMS must attend the demand of the market needs for personalized products. Consequently the product life cycle tends to be shorter and a greater variety of products must be produced in a simultaneous manner. In this paper, we present a Genetic Algorithm based scheduling of Flexible manufacturing system. This work is considering multiple objectives, i.e., minimizing the idle time of the machine and minimizing the total penalty cost for not meeting the deadline concurrently. Software is developed for getting optimum sequence of operation. FMS considered in this work has 16 CNC Machine tools for processing 43 varieties of products. In this paper, various meta-heuristic methods are used for solving same scheduling problems taken from the literature. The results available for t...

Research paper thumbnail of Combined Objective Optimization for Vehicle Routing Using Genetic Algorithm

Materials Today: Proceedings

Research paper thumbnail of Module

Research paper thumbnail of Scheduling optimization of a flexible manufacturing system using a modified NSGA-II algorithm

Advances in Production Engineering & Management, Sep 7, 2014

The Flexible Manufacturing System (FMS) belongs to the class of production systems in which the m... more The Flexible Manufacturing System (FMS) belongs to the class of production systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resources. Nowadays, FMS must attend to the demands of market needs for personalized products. Consequently the life-cycle of a product tends to be shorter and a greater variety of products must be produced in a simultaneous manner. The FMS considered in this work has 16 CNC machine tools for processing 80 varieties of products. Since the minimizing of a machine's idle time and thus the minimizing of total penalty costs are contradictory objectives, the problem has a multi-objective nature. The objective of this research was to develop a modified nondominated sorting genetic algorithm (NSGA-II) for multi-objective optimization. The research will then evaluate and discuss the performance of the modified NSGA-II against the original NSGA-II. The existing NSGA II has been modified in order to improve the global optimal front and reduce the computational effort. The result has been compared with the existing NSGA-II, cuckoo search (CS), particle swarm optimization algorithm (PSO), etc. and it was found that the proposed approach was superior.

Research paper thumbnail of Comparison of mechanical and wearing properties between LM6, LM6/B4C and LM6/B4C/Gr aluminium metal matrix composites

Materials Today: Proceedings

Abstract Due to greater specific modulus, better wear resistance, excellent specific strength, an... more Abstract Due to greater specific modulus, better wear resistance, excellent specific strength, and declined coefficient of thermal expansion value, particulate reinforced aluminum matrix composites have acquired appreciable consideration. Casting route and powder metallurgy are the commonly used fabrication methods from which we select stir casting technique due to its simplicity and low expense. In this study mechanical properties like tensile strength, yield strength, hardness, wear, coefficient of friction (COF) and frictional properties of light metal (LM6), LM6/ Boron Carbide (B4C) and LM6/B4C/Graphite (Gr) 2% were analyzed with the aid of Universal Testing Machine (UTM), Rockwell Hardness Tester and Pin on Disk Tester. B4C was chosen due to its excellent reinforcement properties compared to silicon carbide (SiC) and alumina. Gr (2%) was added in one sample to obtain better tribological as well as better sliding lubricating characteristics. The test outcomes reveal that by increasing the percent of B4C particles in the LM6 matrix, the mechanical as well as tribological properties are improved and the new material developed can replace conventional LM6 aluminium alloy in its applications.

Research paper thumbnail of Development of standing aid for physically disabled people including Cerebral palsy

Materials Today: Proceedings

Research paper thumbnail of A Combined Objective Genetic Algorithm for Scheduling of Machines in FMS

The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main ... more The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resource. Nowadays, the FMS must attend the demand of the market needs for personalized products. Consequently the product life cycle tends to be shorter and a greater variety of products must be produced in a simultaneous manner. In this paper, we present a Genetic Algorithm based scheduling of Flexible manufacturing system. This work is considering multiple objectives, i.e., minimizing the idle time of the machine and minimizing the total penalty cost for not meeting the deadline concurrently. Software is developed for getting optimum sequence of operation. FMS considered in this work has 16 CNC Machine tools for processing 80 varieties of products. After 1500 generations of GA the global optimum schedule is obtained.

Research paper thumbnail of Scheduling Optimization of FMS Using NSGA-II

The Flexible Manufacturing Systems (FMS) belong to that class of productive systems whose main ch... more The Flexible Manufacturing Systems (FMS) belong to that class of productive systems whose main characteristic is the simultaneous execution of several processes and the sharing of a finite set of resources. Now days, FMS must attend to the demand of the ma...

Research paper thumbnail of Evaluation of Genetic Algorithm Approach for Scheduling Optimization of Flexible Manufacturing Systems

The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main ... more The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resource. Nowadays, the FMS must attend the demand of the market needs for personalized products. Consequently the product life cycle tends to be shorter and a greater variety of products must be produced in a simultaneous manner. In this paper, we present a Genetic Algorithm based scheduling of Flexible manufacturing system. This work is considering multiple objectives, i.e., minimizing the idle time of the machine and minimizing the total penalty cost for not meeting the deadline concurrently. Software is developed for getting optimum sequence of operation. FMS considered in this work has 16 CNC Machine tools for processing 43 varieties of products. In this paper, various meta-heuristic methods are used for solving same scheduling problems taken from the literature. The results available for t...

Research paper thumbnail of Combined Objective Optimization for Vehicle Routing Using Genetic Algorithm

Materials Today: Proceedings

Research paper thumbnail of Module