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    Dr. Sajan T. John
    Dr. Sajan T. John

    Assistant Professor

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    sajan@nitc.ac.in

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  • PhD in Industrial Engineering and Management

  • M. Tech. in Industrial Engineering & Management

  • B. Tech. in Mechanical Engineering

    • Educational Qualifications

    • PhD in Industrial Engineering and Management

    • M. Tech. in Industrial Engineering & Management

    • B. Tech. in Mechanical Engineering

    Journals

    1. Niyas K M and Sajan T John (2026) Physical Internet Applications in Logistics and Supply Chain Management: A Systematic Literature Review, International journal of industrial and systems engineering (Accepted for Publication)
    2. Sajan T John, Sridharan, R., Ram Kumar, P. N. and Krishnamoorthy, M. (2018) Multi-period reverse logistics network design for used refrigerators. Applied Mathematical Modelling, 54, 311-331
    3. Sajan T John, Sridharan, R. and Ram Kumar, P. N. (2018) Reverse logistics network design: a case of mobile phones and digital cameras. The International Journal of Advanced Manufacturing Technology, 94(1-4), 615-631
    4. Sajan T John, Sridharan, R. and Ram Kumar, P. N. (2017) Multi-period reverse logistics network design with emission cost. International Journal of Logistics Management, 28(1), 127-149
    5. Sajan T John and Sridharan, R. (2015) Modelling and analysis of network design for a reverse supply chain. Journal of Manufacturing Technology Management, 26(6), 853-867
    6. Sajan T John and Sridharan, R. (2015). Effect of grading of product return on the network design of a reverse supply chain: A comparative study. International Journal of Applied Management Science, 7(2), 142-163
    7. Sajan T John and Sridharan, R. (2013). Modelling and analysis of network design for a closed-loop supply chain. International Journal of Logistics Systems and Management, 14(3), 329-352.

    Conferences

    1. Niyas K M and Sajan T John, Performance Comparison of Classic and Physical Internet-Enabled Supply Chains: A Simulation Study, 12th International Conference on Business Analytics and Intelligence, Dec. 15-17, 2025, Madurai Kamaraj University.
    2. Divyasree and Sajan T John, Forecasting Electric Vehicle Battery Returns Using Machine Learning Models, 12th International Conference on Business Analytics and Intelligence, Dec. 15-17, 2025, Madurai Kamaraj University.
    3. Vidya G Mohan, Naseer M. A and Sajan T John, ‘An Integrated Supply Chain Model for Export Commodities for Indian Container Goods’, European Transport Conference, 09 – 11 October 2019, Association for European Transport, Dublin Castle, Ireland
    4. Sajan T John and Sridharan, R. ‘Product recovery network design in a closed loop supply chain’, International Colloquium on Materials, Manufacturing and Metrology, August 8-9, 2014, IIT Madras, India, 329-330
    5. Sajan T John and Sridharan, R. ‘Network design of a reverse supply chain: Mathematical modelling and analysis in a multi-period environment’, 2nd International Conference on Business Analytics & Intelligence, Dec. 18-20, 2014, IISc Bangalore, India.
    6. Sajan T John and Sridharan, R. ‘A mixed integer linear programming model for the network design of a reverse supply chain’, National Conference on Latest Trends in Mechanical Engineering, March 25-27, 2014, NSS Palakkad, India, 93-99.
    7. Sajan T John, Sridharan, R. and Kumar, R. K. ‘Modelling and analysis of network design for a reverse supply chain’, 3rd International Conference on Production and Industrial Engineering CPIE-2013, March 29-31, 2013, NIT Jalandhar, India, 452-458
    8. Sajan T John and Sridharan, R. ‘Profit maximisation model for the design of a reverse supply chain’, 2nd International Conference on Industrial Engineering, Nov. 20-22, 2013, SVNIT Surat, India, 481-486.
    9. Sajan T John and Sridharan, R. ‘Reverse logistics network design and analyses in a multi-product environment’, 13th Consortium of Students in Management Research conference, Nov. 15-16, 2013, IISc Bangalore, India.
    10. Sajan T John and Sridharan, R. ‘Modelling and analysis of sequencing flexibility and routing flexibility of a flexible manufacturing system’, National Conference on Emerging Trends in Industrial Engineering and Management’, July 11-12, 2011, NIT Calicut, India.

    Books (Refereed)

    1. Krishna Datt Mishra and Sajan T John (2026) A Comparative Study of Deep Learning Models for E-Waste Classification, Lecture Notes on Multidisciplinary Industrial Engineering (Springer Nature), 431-441.
    2. Mahendrabhai, Zalpuri, Goswami and Sajan T John (2026) Review of E-Waste Management in India: Informal Sector, Social Impact, and Capacity Utilization, Lecture Notes on Multidisciplinary Industrial Engineering (Springer Nature), 475-484.
    3. Sinha, Abhishek Kumar, Sajan T. John, and R. Sridharan (2023) A Review on the Use of Artificial Intelligence in Reverse Logistics, Encyclopedia of Data Science and Machine Learning, 2954-2969.

    Expert lectures

    1. Project Planning and Implementation, Entrepreneurship Development Programme Organized by District Industries Centre, Kozhikode, Kerala, 30 July 2025.
    2. Project Planning and Implementation, Entrepreneurship Development Programme Organized by District Industries Centre, Kozhikode, Kerala, 04 February 2025.
    3. KTU sponsored FDP on Data Analytics for Decision Making organized by the Department of Mechanical Engineering, Viswajyothi College of Engineering and Technology, Vazhakulam, Kerala, 27 Feb - 3 March 2023.
    4. Career Guidance seminar organized by the Career guidance & Adolescent Counselling Cell of Kottayam District, Directorate of General Education (Higher Secondary Wing), Govt. of Kerala at St. Mary's GHSS, Kidangoor, Kerala, 28 January 2023.
    5. KTU sponsored online Faculty Development Program on Supply Chain Modelling and Logistics Management, organized by the Department of Mechanical Engineering, Viswajyothi College of Engineering and Technology, Vazhakulam, Kerala, 5-9 July 2021.
    6. KTU sponsored Faculty Development Program on Tools, techniques and models for scientific research, organized by the Department of Mechanical Engineering, Viswajyothi College of Engineering and Technology, Vazhakulam, Kerala, 22-26 July 2019.
    7. Faculty Development Program on Optimization Techniques in Engineering Research, organized by the Department of Mechanical Engineering, Mar Baselios Christian College of Engineering & Technology, Kuttikkanam, Kerala, 18-20 December 2018.
    8. Faculty Development Program on Models and Methods for supply chain decisions, organized by the Department of Mechanical Engineering, NIT Calicut and Government Engineering College Bharatpur, 21-26 May 2018.
    9. Short-Term Training Programme on Research Methodology for Science, Engineering and Management, organized by the Department of Mechanical Engineering, NIT Calicut in association with IIIE Kozhikode Chapter, 24 -28 February 2018.
    10. A two-day workshop on Models and Tools for Technical Research organized by the Department of Mechanical Engineering, Viswajyothi College of Engineering and Technology, Vazhakulam, Kerala, 2 - 3 February 2017.

    Membership of Professional Bodies

    • Life Member of Operational Research Society of India (ORSI)
    • Senior Member, Indian Institution of Industrial Engineering (IIIE)

    International Journals

    • International Journal of Production Economics
    • Cleaner Logistics and Supply Chain
    • Journal of Manufacturing Technology Management
    • International Journal of Logistics Systems and Management
    • International Journal of Services and Operations Management
    • International Journal of Productivity and Quality Management

    1. International Conference on Logistics, Supply Chain and Transportation, NIT Calicut, May 22-24, 2024 - Joint Secretary
    2. Short Term Online Course on Digital Supply Chain Management (DSCM 2023), 17-21 July, 2023, NIT Calicut - Coordinator
    3. Short Term Training Program on Applications of MCDM Methods in Logistics and Transportation Engineering (MMLT 2023), 10-15 July, 2023, NIT Calicut - Coordinator

    Address:

    National Institute of Technology Calicut,
    NIT Campus P.O 673 601,
    Kozhikode, India.

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