Amol Ghorpade

 

Masters Student in the Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Tel: +91 99341 22885

 

Post Graduating in 2006

Email: amol_g4@yahoo.com

Research Interests: Six Sigma, Robust Design, Rapid Prototyping, Evolutionary Algorithms and their Applications in Manufacturing, Supply Chain Management, Group Decision Making, Lean Manufacturing, DOE

Publication Info:

Published

1.     R. B. Anand, S. K. Shukla, Amol Ghorpade, M. K. Tiwari, and R. Shankar, “Six Sigma Based Approach to Optimize Deep Drawing Operation Variables”, Accepted for the publication in International Journal of Production Research

Submitted

2.     Amol Ghorpade, M. K. Tiwari, and K. P. Karunakaran, “Optimal part orientation in fused deposition modeling: A Hierarchical particle swarm optimization based approach”, Communicated to Journal of Engineering Design for peer review

3.     Nitesh Khilwani, Amol Ghorpade, S. B. Kumar, and M. K. Tiwari, “Material Selection for Engineering Component: A Group Decision Making Approach”, Communicated to International Journal Advanced Manufacturing Technology for peer review

4.     Amol Ghorpade, Yogesh Dashora, M. K. Tiwari, and K. P. Karunakaran, “Introducing hierarchical particle swarm optimization to optimal part orientation in fused deposition modeling”, Communicated to ASME 32nd Design and Automation Conference (DAC) for peer review

5.     Amol Ghorpade, M.K.Tiwari, and Jiju Antony, “Introducing Six Sigma: A Process Improvement Strategy for Shape of Anvil”, with Prof. Jiju Antony for pre-submission assessment and critical comments and evaluation. Thereafter it will be communicated.

6.     Amol Ghorpade, M. K. Tiwari, and Jiju Antony, “Optimization of Deep Drawing Design Parameters - A Physical Programming Approach”, with Prof. Jiju Antony for pre-submission assessment and critical comments and evaluation.  Thereafter it will be communicated.

Ajit Kumar Sahoo

 

Masters Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi-834003, India

 

Post Graduating in 2006

Email: aksmech@gmail.com

Research Interests: Six Sigma, DOE, Robust Design, Evolutionary Algorithms and Their Applications in Manufacturing System, Lean Manufacturing, Agile Manufacturing, Grid Computing, Reinforcement Learning, etc.

Publication Info:

Published

1.       Ajit Kumar Sahoo, N K Singh, M K Tiwari, “Implementation of Lean    Initiatives to Minimize Defects in a Forging Enterprise”, Accepted for publication in Issue 2, Vol.2, 2007, International Journal of Productivity and Quality Management.

Submitted

2.       Ajit Kumar Sahoo, N K Singh, Ravi Shankar, M K Tiwari, “Lean philosophy: Implementation in a forging company”, Submitted to International Journal Advanced Manufacturing Technology for peer review.

3.        Ajit Kumar Sahoo, M K Tiwari, “Implementation of Six Sigma in a Forging Industry Using Response Surface Methodology”, Submitted to Production Planning and Control  for peer review

Bachelor Students

Class of 2006

Yogesh Dashora

Final Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2006

Email: yogesh.dashora@gmail.com

Research Interests: Modeling and Optimization of Problems related to Supply Chain Management, Vehicle Routing and Scheduling, Process Planning, CAPP, Multi Objective Optimization, Distributed Network Topologies, Sensor Network Design and Communication Protocols, using Novel Nature Inspired Algorithms. Research interests are also directed towards development of novel and improvement of existing Artificial Intelligence Tools to resolve complex NP Hard problems of related to various aspects Of Industrial Engineering and Operations Research.

Publication Info:

Published

1.       Srinivas, Yogesh Dashora, Alok Kumar Choudhary, J A Harding, M K Tiwari, “ A Cooperative Multi Colony Ant Optimization Based Approach to Efficiently Allocate Customers to Multiple Distribution Centers in a Supply Chain Network”,  Lecture Notes in Computer Science (LNCS), 3483, pp. 680-691, 2005

2.      

• K P Karunakaran, Yogesh Dashora, M K Tiwari, and S N Dwivedi, “Solving Planning and Scheduling Problems for Web Supported Plant Chains Using Hierarchical Concepts in Ant Colony Optimization”,  Published and Presented at The 12th ISPE International Conference on Concurrent Engineering: Research and Applications, (CE-2005), Texas at Dallas, Texas (USA), Presented by Prof. Suren Dwivedi, University of Louisiana at Lafayette, Lafayette, LA 70504:

• Yogesh Dashora, M K Tiwari, K P Karunakaran, S N Dwivedi, “Solving Planning and Scheduling Problems for Web Supported Plant Chains Extending the Hierarchical Concepts in Ant Colony Optimization”, Selected for publication in Integrated Computer Aided Engineering (ICAE) [among the selected papers from CE-2005]

• Yogesh Dashora, K P Karunakaran, S N Dwivedi, M K Tiwari, “ Extended Theoretical and Experimental Insights to Algorithm of Hierarchical Ants: An Integrated Planning and Scheduling Paradigm in Web Supported Plant Chains”, Invited Extension in Journal of Engineering Manufacture, I Mech E -Part B, special issue on Recent Trends in concurrent Engineering [issue due in December 2006]

3.       Yogesh Dashora, M K Tiwari and F T S Chan, “Selection of Best Alternative Process Plan Automated Manufacturing Environment: An Approach Based on Particle Swarm Optimization”, Published and Presented at the International Conference on Flexible Automation in Manufacturing (FAIM) 2005, Bilbao, Spain.  pp. 237-245, Presented by Prof. Felix T. S. Chan, Hong Kong University, Hong Kong  

4.       Anupam Keshari, Yogesh Dashora, M. K. Tiwari, “Design of Efficient Cluster Architectures and Communication Protocols: A Framework for Distributed Microflow Sensor Networks”, Presented and Published in National Conference of Emerging Trends in Nano-Technology and Innovations in Design and Manufacturing-ETNDM-2006, Rourkela (India). Presented by Yogesh Dashora

Submitted:

5.       Yogesh Dashora, Sanjeev Kumar, M K Tiwari ,  “ Deadlock Free Scheduling of AMS using Enhanced Colored Time Resource Petri-net Model and an Evolutionary Endosymbiotic Learning Automata (EELA) Approach”, Favorably Reviewed and resubmitted to IEEE Transactions of Automation Science and Engineering (IEEE-TASE)

6.       Yogesh Dashora, Sanjeev Kumar, M K Tiwari, Ravi Shankar, “Ant Colony Optimization to Select Best Process Plan in Automated Manufacturing Environment”, Favorably Reviewed (conditionally accepted), revised and revision submitted to Journal of Engineering Manufacture, IMechE - Part B.

7.       Chetan C Mahajan, Yogesh Dashora, M K Tiwari and Ravi Shankar, “Design of Optimal Computer Network Topologies: An Artificial Immune System based Approach” Favorable reviewed (conditionally accepted), Computers and Operations Research (C&OR), special issue on Topological Design and Optimization,

8.       Gaurav Singh, Yogesh Dashora, M K Tiwari, David Naso, “An Adaptive Rule for Probability Update in Compact Genetic Algorithms”, Revised and resubmitted to IEEE Transactions on Evolutionary Computation (IEEE-TEC) (Under Review).

9.       Yogesh Dashora, Sanjeev Kumar and M K Tiwari, “Improved Learning Strategies for Dynamically Fast and Statistically Robust Evolutionary Algorithms”, submitted to IEEE Transactions on Evolutionary Computation (IEEE-TEC)(Under Review).

10.    Gaurav Singh, Yogesh Dashora, Alok Kumar Choudhary, M K Tiwari and David Naso, ”A Compact Memetic Algorithm Incorporating Adaptive Probability Update” submitted to International Journal of Artifical Intelligence in Technology (IJAIT)(Under Review).

11.    Sanjeev Kumar, Yogesh Dashora, and M. K. Tiwari, “A Controller Synthesis Theory and Performance Assessment for an FMS in Deadlock Free Environment”, submitted to IEEE Transactions on Automation Science and Engineering (IEEE-TASE) (Under Review).

12.    Nagesh Shukla, Yogesh Dashora, Ravi Shankar, F T S Chan, M K Tiwari,”Conceiving Algorithm Portfolio to Vehicle Routing Problem with Stochastic Demands and Mobility Allowance”, submitted to IEEE Transactions on Automation Science and Engineering (IEEE-TASE) (Under Review)

13.    Shubham Agrawal, Yogesh Dashora, M. K. Tiwari, and Young-Jun Son, ”Interactive Particle Swarm: A Pareto Adaptive Meta-Heuristic to Multi Objective Optimization” submitted to IEEE Transactions on Systems Man and Cybernetics Part A (IEEE-SMCA) (Under Review).

14.    Yogesh Dashora, M K Tiwari and K P Karunakaran, “A Psycho Clonal Algorithm Based Approach to Solve Operation Sequencing Problem in CAPP Environment” submitted to International Journal of Computer Integrated Manufacturing (IJCIM) (Under Review)

15.    S. B. Kumar, Gaurav Singh, Yogesh Dashora, and M. K. Tiwari, “QFD Optimizer: An Approach Based on Multidimensional Scaling”. submitted to Computers and Industrila Engineering (CIE) (Under Review)

16.    Yogesh Dashora, Nagesh Shukla, Chetan C. Mahajan, Ravi Shankar, and M. K. Tiwari ”Towards Optimal Design of Computer Network Topologies: A Vroom Inspired Psychoclonal Algorithm”, submitted to International Journal of Parallel and Distributed Comouting (IJPDC). (Under Review)

17.    Amol Ghorpade, Yogesh Dashora, M K Tiwari, K P Karunakaran, ” Introducing Hierarchical Particle Swarm Optimization To Optimal Part Orientation In Fused Deposition Modeling” submitted to 32nd ASME Design and Automation Conference (DAC) (Under Review)

18.    Anupam Keshari, Yogesh Dashora, M K Tiwari, ”Design of Efficient Cluster Architectures and Communication Protocols: A Framework for Distributed Microflow Sensor Networks”  submitted to International Journal of Manufactruing Research (IJMR)(Under Review)

19.    Anuj Prakash, Yogesh Dashora, M. K. Tiwari, Subhash Wadhwa,  ”Predicting Control Policy Changes in an FMS: An Artificial Immune System Based Fuzzy Expert System Approach” with Prof. Wadhwa for presubmission critical comments and assessment.  Thereafter it will be communicated.

20.    Manish Bachlaus, Yogesh Dashora, M K Tiwari,  Chuck Zhang,  ”A Hierarchical DNA based computing for Integrated Process Planning and scheduling”, with Prof Chuck Zhang for presubmission critical comments and assessment. Thereafter it will be communicated.

Research Reports

21.    Yogesh Dashora, J.W. Barnes, M K Tiwari, ”Modeling Mobility Allowance to Theater Distribution Vehicle Routing and Scheduling: An Algorithm Portfolio Conceptualization”, Research Reposrt submitted to Prof J W Barnes for critical assessment.  

22.    Yogesh Dashora, Y. Narahari, “Modeling A Vehicle Routing Problem: The State of the Art” , Research Report submitted to Prof. Y. Narahari, Departmnt of Computer Science and Automation, Indian Institue of Technology, India

23.    Yogesh Dashora, Y. Narahari, “Employee Pick-Up and Routing: A Real Time Modeling Framework”, Research Report submitted to Prof. Y. Narahari, Departmnt of Computer Science and Automation, Indian Institue of Technology, India

Gaurav Singh

Final Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2006

Email: gaurav.nifft@gmail.com

Research Interest: Modeling and resolving problems related to Supply Chains,  Facility Layout problems, Artificial Intelligence Tools, Random Optimization, Process Planning and Scheduling, Continuos Improprement Techniques like Six Sigma, Lean, Agile etc., Multi Objective optimisation

Publication Info:

Published

1.       Gaurav Singh, Alok Kumar Choudhary, K. P.  Karunakaran and M K Tiwari “An Evolutionary Approach for Multi-Pass Turning Operation,” Accepted for publication in IMechE, Part B, Journal of Engineering Manufacture.

Submitted

2.       Gaurav Singh, Nishikant Mishra, Ravi Shankar, M. K. Tiwari “Modelling and Solving a Real Time Facility Layout Problem using an Effective Variant of Ant Algorithm” Submitted to European Journal of Operations Research (EJOR)

3.       S. B. Kumar, Gaurav Singh, Yogesh Dashora and M. K. Tiwari_, “QFD Optimizer: An Approach Based on Multidimensional Scaling” Submitted to Computers and Industrial Engineering (CIE)

4.       Nishikant Mishra, Gaurav Singh, Ravi Shankar and M. K. Tiwari, "An Integrated Approach to Solve Advanced Process plan Selection Problem in Distributed Manufacturing Supply Chain Environment”. Submitted to Engineering Optimization.

5.       Gaurav Singh, Yogesh Dashora, M K Tiwari, David Naso, “An Adaptive Rule for Probability Update in Compact Genetic Algorithms”, Revised and resubmitted to IEEE Transactions on Evolutionary Computation (IEEE-TEC)

6.       Gaurav Singh, Yogesh Dashora, Alok Kumar Choudhary, M K Tiwari and David Naso, ”A Compact Memetic Algorithm Incorporating Adaptive Probability Update” submitted to International Journal of Artifical Intelligence in Technology (IJAIT)

7.       Salik R Yadav, Gaurav Singh, M K Tiwari, G Q Huang “Design and Control of a Product family, Product variety and Supply chain” with Prof G Q Huang for pre-submission critical assessment and evaluation. Thereafter, it will be communicated.

8.       Gaurav Singh, Dariusz Ceglarek and M. K. Tiwari, “A Novel Approach for Optimal Distribution of Sensors in Multi-station Assembly Process”, with Prof Dariusz Ceglarek for pre-submission critical assessment and evaluation, Thereafter it will be communicated.

9.       Gaurav Singh, Dariusz Ceglarek and M. K. Tiwari, “Sensor Optimization for Online Monitoring of Multi-Station Assembly Operations in Digital Manufacturing Environment” with Prof Dariusz Ceglarek for pre-submission critical assessment and evaluation. Thereafter it will be communicated.

Nishikant Mishra

 

Final Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2006

Personal Webpage:http://www.oocities.org/mishra_nifft/nishikant_mishra.html

Email: mishra09@hotmail.com

    Research Interest:

    Modelling and resolving problems related to Supply Chain, Artificial Intelligence Techniques for random optimization. Process Planning and Scheduling in Manufacturing Industries, Fault diagnosis, Design of Experiment, Modeling and Solving the Facility Layout problem, Continuous Improvement Techniques like Six Sigma, Lean, Agile etc.

Publication Info:

Published

1.       Nishikant Mishra, Prakash, M. K. Tiwari, R. Shankar, Felix. T. S. Chan,”Hybrid Tabu-Simulated Annealing Based Approach to Solve Multi-Constraint Product Mix Decision Problem” Published in Expert Systems with Applications, Vol. No. 29(2), 2005)

Submitted

2.       Nishikant Mishra, Alok Kumar Choudhary, M. K. Tiwari, and David Naso, “Genetic Algorithms with Chromosome Differentiation for Integrated Planning and Scheduling in Multi Plant Supply Chain” Favourably Reviewed by IEEE Transactions on Systems Man and Cybernetics- part A

3.       Nishikant Mishra, Alok Kumar Choudhary, M.K.Tiwari, Ravi Shankar, “Rollout Strategy Based Probabilistic Causal Model Approach for the Multiple Fault Diagnosis”Submitted to Applied Soft Computing, for peer review

4.       Nishikant Mishra, Gaurav Singh, Ravi Shankar^, M. K. Tiwari,”An integrated approach for advanced process plan selection problem in distributed manufacturing supply chain environment” Submitted to Engineering Optimization

5.       Gaurav Singh, Nishikant Mishra Ravi Shankar , M. K. Tiwari,”Modeling and Solving a Real Time Facility Layout problem using an Effective Variant of Ant Algorithm” submitted to  European Journal of Operational Research

6.       Nishikant Mishra, R. S. Lashkari, Alok Kumar Choudhary, and M. K. Tiwari, “Modelling the Planning and Scheduling Across the Outsourcing Supply Chain: A Chaos Based Fast Tabu-SA Approach” With Prof. M. K. Tiwari for pre-submission critical assessment. Thereafter it will be communicated.

Bachelor Students

Class of 2007

Nagesh Shukla

Third Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Tel:+(91) 9934124511

Graduating in 2007

Email: file:///C:/Documents%20and%20Settings/raj/Desktop/Local%20Settings/Temporary%20Internet%20Files/Content.IE5/0XUVCTM7/nagesh.nifft@gmail.com

Research Interests: Mathematical modeling and process analysis, Multi Station Manufacturing Processes, Bayesian Networks, Data Mining, Nature Inspired Evolutionary Algorithms, Supply Chain Management, and Vehicle Routing.

Publications:

1.       Nagesh Shukla, M K Tiwari, Ravi Shankar “Multi Station Assembly Process and Determining the Optimal Sensor Placement Using chaos Embedded fast simulated annealing” submitted to ASME 2006, International Design for Manufacturing and the Life Cycle Conference.

2.       Nagesh Shukla, Yogesh Dashora, Ravi Shankar, F T S Chan, M K Tiwari “Conceiving Algorithm Portfolio to Vehicle Routing Problem with Stochastic Demands and Mobility Allowance” submitted to IEEE Transactions on Automation Science and Engineering.

3.       Yogesh Dashora, Nagesh Shukla, Chetan C. Mahajan, Ravi Shankar, M. K. Tiwari “Towards Optimal Design of Computer Network Topologies: A Vroom Inspired Psychoclonal Algorithm” submitted to International Journal of Parallel and Distributed Computing.

4.       Nagesh Shukla, M K Tiwari, Ravi Shankar “Optimal Sensor Distribution for Multi Station Assembly Process Using Chaos Embedded Fast Simulated Annealing”, submitted to Engineering optimization

5.       Manish Bachlaus, Nagesh Shukla, Ravi Shankar, M K Tiwari “Optimization Of System Reliability Using Chaos Embedded Self Organizing Hierarchical Particle Swarm Optimization” submitted to IMechE- part –O Risk and Reliability.

6.       Nagesh Shukla, M K Tiwari, Dariusz Ceglarek “An Ant Ordered Evolutionary Bayesian Fault Diagnosis Model for Hydraulic Forging Presses” With Prof Ceglarek for pre-submission critical assessment. Thereafter it will be communicated.

7.       Nagesh Shukla, M K Tiwari, J.H. Harding “Using Bayesian Networks for Fault Diagnosis: A Data Mining Tool based on Evolutionary Algorithms” With Prof J A Harding for pre-submission critical assessment.  Thereafter it will be communicated.

8.       Manish Shukla, Nagesh Shukla, M K Tiwari “Integrated Modeling to minimize the makespan in a multiple stage supply chain: An Artificial Immune System Based Approach” With Prof M K Tiwari for pre-submission critical assessment.  Thereafter it will be communicated.

Nitesh Khilwani
Third Year Bachelor Student, Department of Metallurgy & Materials Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2007

Email: nitesh.nifft@gmail.com

Research Interests: Facility Layout Problems, Virtual Cellular Manufacturing Systems, Reconfigurable Manufacturing Systems, Group Decision Making Systems, Evolutionary Algorithms.

Publications:

1.       Nitesh Khilwani, Ravi Shankar, M. K. Tiwari, “Facility Layout Problem: An Approach Based on Group Decision Making System and Psychoclonal Algorithm”, favorably reviewed, revised and resubmitted to International Journal of Production Research.  

2.       Nitesh Khilwani, M. K. Tiwari, Ravi Shankar, David Ben-Arieh, “A Meta-Heuristic for Distributed Facility Layout Problem” submitted to European Journal of Operational Research

3.       Nitesh Khilwani, Anoop Prakash, Ravi Shankar and  M. K. Tiwari, “Fast Clonal Algorithm” submitted to Engineering Applications of Artificial Intelligence

4.       Anoop Prakash, Nitesh Khilwani, M.K.Tiwari, and Yuval Cohen, “Modified immune algorithm for job selection and operation allocation problem in Flexible manufacturing system”, submitted to Advances in Engineering Software (AES)

5.       Nitesh Khilwani, Amol Ghorpade, S. B. Kumar, M. K. Tiwari, “Material Selection for Engineering Component: A Group Decision Making Approach” submitted to International Journal of Advanced Manufacturing Technology.

6.       R. K. Singh, Nitesh Khilwani, M. K. Tiwari, “Justification for the Selection of Reconfigurable Manufacturing System: A Fuzzy Analytical Hierarchy Based Approach”   submitted to International Journal of Production Research

7.       Nitesh Khilwani, Ravi Shankar, F.T.S. Chan, M. K. Tiwari, “An Effective Solution Methodology for Facility Layout Planning” submitted to 2006 IEEE International Conference on Systems, Man, and Cybernetics, Taiwan

8.       Nitesh Khilwani, R. K. Singh, J. N. D. Gupta, M. K. Tiwari, “A  Methodology for Designing Virtual Cellular Manufacturing Systems”, With Prof J N D Gupta for pre-submission critical assessment. Thereafter it will be communicated.

Manish Bachlaus

Third Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2007

Email: mbachlaus@gmail.com

Research Interests: Computer Integrated Process Planning and Scheduling, Development of Nature Inspired Evolutionary Algorithms, Risk and Reliability analysis, Production Planning problem for Flexible Manufacturing System, Web based Multi Agent Platform for Digital Manufacturing systems.

Publications:

Published

1.       Manish Bachlaus, Zubair M. Mohamed "An Integrated Tool Planning and Production Planning Problem for Flexible Manufacturing Systems using Genetic Algorithm” accepted for publication in International Journal of Intelligent Systems, Technology and Applications (IJISTA).

Submitted

2.       Manish Bachlaus, M. K. Tiwari, Ravi Shankar "Sequencing of Parts on Single Stage Multifunctional machining Systems using Chaos Embedded Simulated Annealing algorithm" favorably reviewed and resubmitted to International Journal of Production Research

3.       Manish Bachlaus, Nagesh Shukla, Ravi Shankar, M K Tiwari “Optimization Of System Reliability Using Chaos Embedded Self Organizing Hierarchical Particle Swarm Optimization” submitted to IMechE Part–O Risk and Reliability.

4.       Manish Bachlaus, Yogesh Dashora, M K Tiwari, Chuck Zhang "A Hierarchical DNA based computing for Integrated Process Planning and scheduling" with Prof Chuck Zhang for pre-submission critical assessment and evaluation. Thereafter it will be communicated.

5.       Manish Bachlaus, Sanjeev Kumar, M. K. Tiwari, S. T. Newman, “Web Based Collaborative Multi-agent Architecture for STEP compliant CNC: An approach for machining prismatic parts using algorithm Portfolio”, With Prof M K Tiwari for pre-submission critical assessment and comments. Thereafter it will be communicated.

6.       Manish Bachlaus and M K Tiwari, S Kumar, S T Newman, A Nassehi "An Artificial Immune System based Optimization Approach within a Web based Multi Agent Platform for Digital Manufacturing:" Extended abstract submitted to CIRP conference. With Prof M K Tiwari for pre-submission critical assessment and comments. Thereafter it will be communicated.

Sanjay Kumar Shukla

Third Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2007

Email: sanjayshukl@gmail.com

Research Interests: Fuzzy Logic, Mathematical modeling and process analysis, Quality Improvement Techniques like Six sigma, Taguchi, RSM, etc., Supply Chain Management, Resource Constraint Project Scheduling, Fuzzy Clustering, Data Mining, Nature Inspired Evolutionary Algorithms.

Publications:

Published

1. Raj Bardhan Anand, Sanjay Kumar Shukla, Amol Ghorpade, M K Tiwari, and Ravi Shankar “Six Sigma Based Approach to Optimize Deep Drawing Operation Variables” accepted for publication in International Journal of Productions Research (IJPR).

Submitted

2. Sanjay Kumar Shukla, Ravi Shankar, and M K Tiwari “Optimizing the Operational Design of a Supply Chain Network Using the Psychoclonal Algorithm” submitted to International Journal of Production Research (IJPR).

3. Sanjay Kumar Shukla, M. K. Tiwari, and Y. J. Son “Fuzzy Based Adaptive Sample-Sort Simulated Annealing for Resource- Constrained Project Scheduling” submitted to Computers and Industrial Engineering (CIE).

4. Sanjay Kumar Shukla, and M K Tiwari “Soft Decision trees: A Genetically Optimized Cluster Oriented Approach” Submitted to Data Knowledge and Engineering (DKE).

5. Sanjay kumar Shukla, and M K Tiwari “GA Guided Cluster Based Fuzzy Decision Tree for Reactive Ion Etching Modeling: A data Mining Approach” submitted to IEEE Transactions on Semiconductor Manufacturing.

Anoop Prakash

 

Third Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Tel: +91-9934124511,

Graduating in 2007

Email: anoop.nifftian@gmail.com

Research Interests: Flexible Manufacturing System, Supply chain management, Corporate Memory, Scheduling and Sequencing, Knowledge based manufacturing Clonal Algorithm, fuzzy logic.

Publication Info:

1.       Anoop Prakash, Ravi Shankar, and M.K.Tiwari, “Machine Loading Problem in FMS: An Ant Colony Based Optimization Approach”, Submitted to Computers and Operation Research, Special Issue on bio-inspired meta-heuristic for combinatorial optimization problems.

2.       Nitesh Khilwani, Anoop Prakash, Ravi Shankar, and M.K.Tiwari, “Fast Clonal Algorithm”, submitted to Engineering Applications of Artificial Intelligence (EAAI)

3.       Anoop Prakash, Nitesh Khilwani, M.K.Tiwari, and Yuval Cohen, “Modified immune algorithm for job selection and operation allocation problem in Flexible manufacturing system”, submitted to Advances in Engineering Software

4.       Anoop Prakash, M.K.Tiwari, and David Sinreich, “Effect of machine flexibility on the performance of FMS subjected to frequent breakdown, With Prof Sinreich for pre-submission critical comments and evaluation.  Thereafter it will be communicated.

Salik Ram Yadav

Third Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2007

Email: saliknifft@gmail.com

Research Interests: Mathematical modeling and process analysis, Product Development, Platform Products, Nature Inspired Evolutionary Algorithms, Multi-objective Optimization, Supply Chain Management, and Electrical Economic Dispatch Problems.

Publication Info:

Published

1. Salik R Yadav, Ravi Shankar, F T S Chen and M. K. Tiwari “An interactive particle swarm optimization technique for selecting a product family and designing its supply chain” accepted for publication in International Journal of Intelligent Systems Technologies and Applications (IJISTA)

Submitted

2. B K Panigrahi, Salik R Yadav, Shubham Agrawal, M K Tiwari “A Clonal Algorithm for Economic Dispatch Problem” submitted to IEEE Transactions on Power Systems, Under Review.

3. Salik R Yadav, Gaurav Singh, M K Tiwari, G Q Huang “Design and Control of a Product family, Product variety and Supply chain” with Prof G Q Huang for pre-submission assessment and evaluation. Thereafter it will be communicated

Shubham Agrawal

Third Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2007

Email: shubham.nifft@gmail.com

Research Interests: Multi-objective Optimization, Mathematical modeling, Nature Inspired Evolutionary Algorithms, Fuzzy Decision Making, Algorithm Development, Economic Load Dispatch Problems.

Publications:

1.       Shubham Agrawal, Yogesh Dashora, M K Tiwari, Y J Son “Interactive Particle Swarm-A Pareto Adaptive Metaheuristic to Multiobjective Optimization” submitted to IEEE Transactions on Systems  Man and Cybernetics Part-A.

2.       B K Panigrahi, Salik R Yadav, Shubham Agrawal, M K Tiwari “A Clonal Algorithm for Economic Dispatch Problem” submitted to IEEE Transactions on Power Systems.

3.       Shubham Agrawal, B K Panigrahi, M K Tiwari, “Hierarchical Clustering Based Particle Swarm for Multiobjective Environmental/Economic Dispatch-A Pareto Interactive Approach”  with Prof B K Panigrahi for pre-submission assessment and evaluation. Thereafter it will be communicated.

Anupam Keshari
Third Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Graduating in 2007

Email: anupam_nifft@yahoo.co.in

Research Interests: Design of experiment, Statistical analysis and their application in manufacturing environment, Web supported Multi agent system framework design.

 Mathematical modeling and process analysis, Evolutionary Algorithms and their Applications in Manufacturing,

Publication Info:

Published

1.       Anupam Keshari, Yogesh Dashora, M. K. Tiwari, “Design of Efficient Cluster Architectures and Communication Protocols: A Framework for Distributed Microflow Sensor Networks”, Presented and Published in the proceedings of National Conference of Emerging Trends in Nano-Technology and Innovations in Design and Manufacturing-ETNDM-2006, Rourkela (India). Presented by Mr. Yogesh Dashora

Submitted

2.       Anupam Keshari, Yogesh Dashora, M K Tiwari, ”Design of Efficient Cluster Architectures and Communication Protocols: A Framework for Distributed Microflow Sensor Networks” (Journal extension of previous paper) submitted to International Journal of Manufactruing Research (IJMR)

Manish Shukla

Third Year Bachelor Student, Department of Manufacturing Engineering,

National Institute of Foundry and Forge Technology (NIFFT), Ranchi, 834003, India

 

Tel:+(91) 9334718416

Graduating in 2007

Email: shukla8416_nifft@yahoo.co.in

Research Interests: Mathematical modeling and process analysis, Nature Inspired Evolutionary Algorithms, Supply Chain Management, Multi criteria Decision Making (MCDM) Multiattribute e-Procurement.

Publication Info:

1.       Manish Shukla, Nagesh Shukla, M K Tiwari “Integrated Modeling to minimize the lead time in a multiple stage supply chain: An Artificial Immune System Based Approach” With Prof M K Tiwari for pre-submission critical assessment. Thereafter it will be communicated.