Faculty Details
Akhilesh Kumar
Designation
Associate Professor
Ph. D., Industrial Engineering, Wayne State University, Detroit, MI, USA (2005-2011), B. Tech, Manufacturing Engineering, NIFFT Ranchi, India (2001-2005)
Decision Sciences
Contact Information
akumar@iimraipur.ac.in
ii. Supply Chain Management: Operations Management, Reverse Logistics and Closed Loop Supply Chain, Sustainable Freight Transportation
iii. Industry 4.0: Predictive Maintenance, Autonomous Diagnostics & Prognostics, Internet of Things
ii. Associate Professor, Dept. of Industrial & Systems Engineering, IIT Kharagpur (Nov 2020-July 2022)
iii. Assistant Professor, Dept. of Industrial & Systems Engineering, IIT Kharagpur (Aug 2015- Oct 2020)
iv. Visiting Researcher, Sheffield University Management School, The University of Sheffield, UK (July 2018)
v. Solution Architect, Rail Pricing and Revenue Management, JDA Software Bangalore (Jan 2013- Jul 2015)
vi. Assistant Professor, Dept. of Industrial Engineering and Management, IIT Kharagpur (Sep 2011-Jan 2013)
ii. Won round 1 of Innovative Implementable Idea (I3) Award for SAMHAR-COVID19 Hackathon organized by Centre for Development of Advanced Computing under the aegis of the National Supercomputing Mission (NSM), a Ministry of Electronics & Information Technology and Department of Science & Technology, Government of India initiative, in association with NVIDIA &OpenACC 2020
iii. Print media and social media (ministry) coverage of my work on Industry 4.0 to boost profitability in manufacturing sector under #AatmanirbharBharat! (2020)
https://www.indiatoday.in/education-today/news/story/iit-kharagpur-and-tata-metaliks-jointly-develop-algorithm-to-boost-profits-in-india-s-manufacturing-sector-1748395-2020-12-10
https://www.facebook.com/EduMinOfIndia/posts/3881284911883985
iv. uLektz Wall of Fame: Top 50 Expert Faculties in the field of Automobile, BioChemical, Industrial, Environmental, Ceramic &BioTechnology Engineering Across India (2019)
v. Awarded outstanding reviewer by International Journal of Production Economics 2018
vi. Listed in The Marquis Who’s Who in World 2017
vii. Awarded JDA SPOT Award for excellence in JRE Project 2014
viii. Recognized by CEO JDA Software for excellence in innovation program 2013
ix. Best Paper Award, Society of Operations Management, 2012 titled “Strategic Capacity Planning and Management of Remanufactured Products,” 16th Annual International Conference of the Society of Operations Management (SOM 2012), IIT Delhi, India, December 21-23, 2012
x. Listed in The Marquis Who’s Who in America 2011
xi. Finalist for Best Student Paper Award in Data Mining Section at INFORMS Annual Meeting, Austin, TX, USA 2010
xii. Awarded Graduate Research and Teaching Assistantship, Wayne State University 2006-2011
Journal Publications
>> Garg, A., Maiti, J., & Kumar, A.(2022). Granulized Zâ€OWA aggregation operator and its application in fuzzy risk assessment. [International Journal of Intelligent Systems [IF: 8.709]], 37(2), 1479 - 1508
>> Reddy, K.N., Kumar, A., Choudhary, A., & Cheng T.C.E(2022). Multi-Period Green Reverse Logistics Network Design: An Improved Benders-Decomposition-based Heuristic Approach. [European Journal of Operational Research, Accepted [ABDC: A*]], ,
>> Reddy, K. N., Kumar, A., & Velaga, N. R.(2021). Scenario-based two-stage stochastic programming for a Hybrid Manufacturing-Remanufacturing System with the uncertainty of returns, quality and demand. [SÄdhanÄ [IF: 1.188]], 46(1), 1 - 9
>> Reddy, K.N., & Kumar, A.(2020). Capacity investment and Inventory planning for A Hybrid Manufacturing – Remanufacturing System in the Circular Economy. [International Journal of Production Research (Accepted/In-Press) [ABDC: A]], ,
>> Reddy, K.N., Kumar, A., Sarkis, J., & Tiwari, M.K.(2020). Effect of carbon tax on reverse logistics network design. [Computers and Industrial Engineering, 139, art. no. 106184. [ABDC: A]], ,
>> Kumar, A., Calzavara, M., Velaga, N.R., Choudhary, A., & Shankar, R.(2019). Modelling and analysis of sustainable freight transportation. [International Journal of Production Research [ABDC: A]], 57(19), 6086 - 6089
>> Kumar, A., Chinnam, R.B., & Tseng, F.(2019). An HMM and polynomial regression based approach for remaining useful life and health state estimation of cutting tools. [Computers and Industrial Engineering [ABDC: A]], 128, 1008 - 1014
>> Mahajan, K., Velaga, N.R., Kumar, A., & Choudhary, P.(2019). Effects of driver sleepiness and fatigue on violations among truck drivers in India. [International Journal of Injury Control and Safety Promotion [Impact Factor: 1.342]], 26(4), 412 - 422
>> Mahajan, K., Velaga, N.R., Kumar, A., Choudhary, A., & Choudhary, P.(2019). Effects of driver work-rest patterns, lifestyle and payment incentives on long-haul truck driver sleepiness. [Transportation Research Part F: Traffic Psychology and Behaviour], 60, 366 - 382
>> Reddy, K.N., Kumar, A., & Ballantyne, E.E.F.(2019). A three-phase heuristic approach for reverse logistics network design incorporating carbon footprint. [International Journal of Production Research (ABDC A)], 57(19), 6090 - 6114
>> Sharmila, R.B., Velaga, N.R., & Kumar, A.(2019). SVM-based hybrid approach for corridor-level travel-time estimation. [IET Intelligent Transport Systems [Impact Factor: 2.496]], 13(9), 1429 - 1439
>> De, A., Pratap, S., Kumar, A., & Tiwari, M.K.(2018). A hybrid dynamic berth allocation planning problem with fuel costs considerations for container terminal port using chemical reaction optimization approach. [Annals of Operations Research [ABDC: A]], 290(1), 783 - 811
>> Kumar, A., Chinnam, R.B., & Murat, A.(2017). Hazard rate models for core return modeling in auto parts remanufacturing. [International Journal of Production Economics [ABDC: A*]], 183, 354 - 361
>> Pratap, S., Nayak, A., Kumar, A., Cheikhrouhou, N., & Tiwari, M.K.(2017). An integrated decision support system for berth and ship unloader allocation in bulk material handling port. [Computers and Industrial Engineering [ABDC: A]], 106, 386 - 399
>> Kumar, A., Prakash, A., Shankar, R., & Tiwari, M.K.(2006). Psycho-Clonal algorithm based approach to solve continuous flow shop scheduling problem. [Expert Systems with Applications [ABDC: C]], 31(3), 504 - 514
>> Kumar, A., Prakash, Tiwari, M.K., Shankar, R., & Baveja, A.(2006). Solving machine-loading problem of a flexible manufacturing system with constraint-based genetic algorithm. [European Journal of Operational Research [ABDC: A*]], 175(2), 1043 - 1069
>> Tiwari, M.K., Prakash, Kumar, A., & Mileham, A.R.(2005). Determination of an optimal assembly sequence using the psychoclonal algorithm. [Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture [Impact Factor: 0.661]], 219(1), 137 - 149
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Research Projects
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ii. “A Data-Driven Decision Support System for Covid-19 Vaccine Supply Chain" PI for a research project funded by Cisco Research Center, USA ( $10,440.00) Sep 2020-Sep 2021
iii. “Analytics And Optimization Driven Decision Support Models for Dynamic Freight Network Optimization” PI for a consultancy project funded by TM International Logistics Ltd. (A subsidiary of TATA Steel Ltd.) (INR 7.67K) July 2019- Apr 2020
iv. “Mean time to failure and early failure detection” Co-PI (Equal Share) for a consultancy project funded by Computational Data Analytics Group, Shell Technology Centre Bangalore (INR 3 million) Feb 2018-Feb 2019
v. “EU - India Research and Innovation Partnership for Efficient and Sustainable Freight Transportation (REINVEST)” Co-PI (Equal share) at for a project for European Union, Delegation of the European Union to India (IIT KGP Share: INR 2.9 million) Jan 2015-Dec 2018
vi. “Decision Support Model to Optimize Bulk Material Handling Operations at Dhamra Port” Co-Principal Investigator (equal share )for a consultancy project for Dhamra Port Construction Limited (DPCL- A Tata and L&T joint Venture), India (INR 1.1 million) May 2012-May 2013