Vijay Pandey | Birla Institue Mesra (original) (raw)

Papers by Vijay Pandey

Research paper thumbnail of Framework for strategic implementation of cellular manufacturing in lean production environment

Cellular Manufacturing (CM) and Lean Manufacturing (LM), both are two leading manufacturing parad... more Cellular Manufacturing (CM) and Lean Manufacturing (LM), both are two leading manufacturing paradigms to achieve higher productivity and to gain sustainable competitive advantage. The efficiency of CM is directly linked to the volume of the parts and the similarity between parts while lean can be implemented in different types of manufacturing environment. CM and LM both have their respective advantages and limitations. However, CM is sometimes considered as an integral component of Lean philosophy, since both serves the similar objectives. But the frameworks for implementing the two are quite different. CM emphasizes on reducing setup time by grouping similar parts and forming machine cell whereas LM intends to eliminate non value adding activities during the process flow to reduce the lead time. This paper investigates the sustainability of CM. Further, a framework is presented for implementing CM with lean principles in a suitable manufacturing environment.

Research paper thumbnail of Job Shop Scheduling With Alternate Process Plan by Using Genetic Algorithm

Scheduling in a job-shop system is a challenging task, however it costly and time consuming. Succ... more Scheduling in a job-shop system is a challenging task, however it costly and time consuming. Successful implementation of automated manufacturing system highly depends on effective utilization of resource. Efficient scheduling algorithm for alternate process plan may increase the throughput rate, utilization of machine and guarantee a reasonable return of investment. In this paper, the objective is to prepare an alternate model with minimum makespan value by using genetic algorithm. For this makespan value to solve the various job sequencing problem, utilization of machine, cost of machine for a production shop that is characterized by alternate routing and flexible machines also investigates an optimization for scheduling job in a just-in-time environment. All jobs can be processed through alternate routing to be processed in a specified order of operation. Each operation has to be processed on one of a set of resources (e.g. machine) with possibly different efficiency and hence processing time. The objective is to minimize the make span of the job, mean flow time, utilization of machine, Average utilization of machine.

Research paper thumbnail of Standard for Exchange of Products (STEP) based feature Recognition System for Prismatic Parts

Journal of Production Research Management, Apr 20, 2011

Feature extraction is considered as the bridge between Computer Aided Design (CAD) and Computer A... more Feature extraction is considered as the bridge between Computer Aided Design (CAD) and Computer Aided Process Planning (CAPP). This work is concerned with understanding the problem of how to manipulate and extract information from CAD solid models by using Standard for ...

Research paper thumbnail of Scheduling of PCB Assembly using Particle Swarm Optimization Algorithm

Research paper thumbnail of Evaluation of Circle Fitting Algorithm for Coordinate Measuring Machine

Research paper thumbnail of Dimensional Measurement Verification of CMM Software Using Matlab Code

Research paper thumbnail of An NSGA II-Based Approach for Optimization of Reconfigurable Cellular Manufacturing System

Advances in Intelligent Systems and Computing, 2016

Research paper thumbnail of Feature Recognition from Axis-symmetric Rotational Parts: A Syntactic Approach

Research paper thumbnail of Self Learning Concept in Technical Education Through Curriculum Development

Research paper thumbnail of Using Mechatronics In Product Development

USING MECHATRONICS IN PRODUCT DEVELOPMENT Saurabh Agarwal, Dr. Surender Kumar and Vijay Pandey&am... more USING MECHATRONICS IN PRODUCT DEVELOPMENT Saurabh Agarwal, Dr. Surender Kumar and Vijay Pandey" Department of Electronics Engineering, Cambridge Institute of Technology, Ranchi nn Engineering, Birla Institute of Tei Email: vpandeybit@ rediffmail. ...

Research paper thumbnail of An interactive approach to solve the operation sequencing problem using simulated annealing

The problem of operation sequencing is affected by geometrical parameters such as tool compatibil... more The problem of operation sequencing is affected by geometrical parameters such as tool compatibility, feature symmetry, feature accessibility, feature orientation and non-geometrical parameters such as dimensional tolerance, geometric tolerance, location tolerance and surface finish. Operation sequences are determined after meeting the objective functions such as minimum setup changeover and tool changeover, maximum tool motion continuity and maximum loose precedence among features. Because of the conflicting nature of the objectives and constraints, it is a tedious task to formulate a single objective function that can meet the requirements of the problem. Thus in this paper, an attempt has been made to address this issue to an extent by developing operation sequencing rating index (OSRI) which is the weighted sum of four indices: setup changeover index, tool changeover index, motion continuity index and loose precedence index. Determination of setup changeover index involves datum selection and se-quencing in addition to grouping features into setup. Owing to the combinatorial nature of the problem, the simulated annealing (SA) based algorithm has been employed to determine the optimal/near-optimal operation sequence by maximising OSRI. In the proposed methodology, a perturbation scheme named as modified shifting scheme (MSS) has been devised to generate a feasible neighbourhood sequence that minimizes the search space and helps the algorithm to escape from local optima. A new approach for temperature variation in the SA algorithm is also incorporated in which the temperature is assumed to be parabolic. The advantage and effectiveness of the proposed methodology in terms of its algorithmic implementation have been verified on four test parts.

Research paper thumbnail of Framework for strategic implementation of cellular manufacturing in lean production environment

Cellular Manufacturing (CM) and Lean Manufacturing (LM), both are two leading manufacturing parad... more Cellular Manufacturing (CM) and Lean Manufacturing (LM), both are two leading manufacturing paradigms to achieve higher productivity and to gain sustainable competitive advantage. The efficiency of CM is directly linked to the volume of the parts and the similarity between parts while lean can be implemented in different types of manufacturing environment. CM and LM both have their respective advantages and limitations. However, CM is sometimes considered as an integral component of Lean philosophy, since both serves the similar objectives. But the frameworks for implementing the two are quite different. CM emphasizes on reducing setup time by grouping similar parts and forming machine cell whereas LM intends to eliminate non value adding activities during the process flow to reduce the lead time. This paper investigates the sustainability of CM. Further, a framework is presented for implementing CM with lean principles in a suitable manufacturing environment.

Research paper thumbnail of Job Shop Scheduling With Alternate Process Plan by Using Genetic Algorithm

Scheduling in a job-shop system is a challenging task, however it costly and time consuming. Succ... more Scheduling in a job-shop system is a challenging task, however it costly and time consuming. Successful implementation of automated manufacturing system highly depends on effective utilization of resource. Efficient scheduling algorithm for alternate process plan may increase the throughput rate, utilization of machine and guarantee a reasonable return of investment. In this paper, the objective is to prepare an alternate model with minimum makespan value by using genetic algorithm. For this makespan value to solve the various job sequencing problem, utilization of machine, cost of machine for a production shop that is characterized by alternate routing and flexible machines also investigates an optimization for scheduling job in a just-in-time environment. All jobs can be processed through alternate routing to be processed in a specified order of operation. Each operation has to be processed on one of a set of resources (e.g. machine) with possibly different efficiency and hence processing time. The objective is to minimize the make span of the job, mean flow time, utilization of machine, Average utilization of machine.

Research paper thumbnail of Standard for Exchange of Products (STEP) based feature Recognition System for Prismatic Parts

Journal of Production Research Management, Apr 20, 2011

Feature extraction is considered as the bridge between Computer Aided Design (CAD) and Computer A... more Feature extraction is considered as the bridge between Computer Aided Design (CAD) and Computer Aided Process Planning (CAPP). This work is concerned with understanding the problem of how to manipulate and extract information from CAD solid models by using Standard for ...

Research paper thumbnail of Scheduling of PCB Assembly using Particle Swarm Optimization Algorithm

Research paper thumbnail of Evaluation of Circle Fitting Algorithm for Coordinate Measuring Machine

Research paper thumbnail of Dimensional Measurement Verification of CMM Software Using Matlab Code

Research paper thumbnail of An NSGA II-Based Approach for Optimization of Reconfigurable Cellular Manufacturing System

Advances in Intelligent Systems and Computing, 2016

Research paper thumbnail of Feature Recognition from Axis-symmetric Rotational Parts: A Syntactic Approach

Research paper thumbnail of Self Learning Concept in Technical Education Through Curriculum Development

Research paper thumbnail of Using Mechatronics In Product Development

USING MECHATRONICS IN PRODUCT DEVELOPMENT Saurabh Agarwal, Dr. Surender Kumar and Vijay Pandey&am... more USING MECHATRONICS IN PRODUCT DEVELOPMENT Saurabh Agarwal, Dr. Surender Kumar and Vijay Pandey" Department of Electronics Engineering, Cambridge Institute of Technology, Ranchi nn Engineering, Birla Institute of Tei Email: vpandeybit@ rediffmail. ...

Research paper thumbnail of An interactive approach to solve the operation sequencing problem using simulated annealing

The problem of operation sequencing is affected by geometrical parameters such as tool compatibil... more The problem of operation sequencing is affected by geometrical parameters such as tool compatibility, feature symmetry, feature accessibility, feature orientation and non-geometrical parameters such as dimensional tolerance, geometric tolerance, location tolerance and surface finish. Operation sequences are determined after meeting the objective functions such as minimum setup changeover and tool changeover, maximum tool motion continuity and maximum loose precedence among features. Because of the conflicting nature of the objectives and constraints, it is a tedious task to formulate a single objective function that can meet the requirements of the problem. Thus in this paper, an attempt has been made to address this issue to an extent by developing operation sequencing rating index (OSRI) which is the weighted sum of four indices: setup changeover index, tool changeover index, motion continuity index and loose precedence index. Determination of setup changeover index involves datum selection and se-quencing in addition to grouping features into setup. Owing to the combinatorial nature of the problem, the simulated annealing (SA) based algorithm has been employed to determine the optimal/near-optimal operation sequence by maximising OSRI. In the proposed methodology, a perturbation scheme named as modified shifting scheme (MSS) has been devised to generate a feasible neighbourhood sequence that minimizes the search space and helps the algorithm to escape from local optima. A new approach for temperature variation in the SA algorithm is also incorporated in which the temperature is assumed to be parabolic. The advantage and effectiveness of the proposed methodology in terms of its algorithmic implementation have been verified on four test parts.