World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
68
Citations
14781
World Ranking
1240
National Ranking
405

Overview

Surendra M. Gupta is affiliated with Northeastern University in the United States. Their research spans multiple disciplines, primarily focusing on the fields of Engineering and Business, Management and Accounting.

The main areas of study for Gupta include:

  • Engineering
  • Business, Management and Accounting

Within these broad fields, they have contributed to several subfields, notably:

  • Industrial and Manufacturing Engineering
  • Strategy and Management
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Management Science and Operations Research

Gupta's work addresses a variety of topics, with a particular emphasis on sustainability and industrial processes. These topics include:

  • Sustainable Supply Chain Management
  • Recycling and Waste Management Techniques
  • Manufacturing Process and Optimization
  • Digital Transformation in Industry
  • Environmental Impact and Sustainability
  • Sustainable Industrial Ecology
  • Municipal Solid Waste Management

The scientist has been published frequently in journals such as:

  • International Journal of Production Research
  • Logistics
  • International Journal of Sustainable Manufacturing
  • International Journal of Emerging Trends in Engineering Research
  • AIP conference proceedings

Recent publications by Gupta include:

  • A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem, 2021, Applied Soft Computing
  • Trade-in-to-upgrade as a marketing strategy in disassembly-to-order systems at the edge of blockchain technology, 2020, International Journal of Production Research
  • Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain, 2020, Sustainability
  • Designing a Sustainable Green Closed-Loop Supply Chain under Uncertainty and Various Capacity Levels, 2021, Logistics
  • Value depreciation factors for new and remanufactured high-technology products: a case study on iPhones and iPads, 2020, International Journal of Production Research

Collaboration features prominently in Gupta's scholarly efforts, with frequent cocontributors including:

  • Elif Kongar
  • Tetsuo Yamada
  • Yuki Kinoshita
  • Özden Tozanlı
  • Liangchuan Zhou

Best Publications

  • Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

    Mehmet Ali Ilgin;Surendra M. Gupta

  • Disassembly Modeling for Assembly, Maintenance, Reuse and Recycling

    A.J.D. (Fred) Lambert;Surendra M. Gupta

  • A balancing method and genetic algorithm for disassembly line balancing

    Seamus M. McGovern;Surendra M. Gupta

  • Disassembly line in product recovery

    Aşkiner Güngör;Surendra M. Gupta

  • Operations Planning Issues in an Assembly/Disassembly Environment

    Louis Brennan;Surendra M. Gupta;Karim N. Taleb

  • Petri net approach to disassembly process planning for products with complex AND/OR precedence relationships

    Kendra E. Moore;Aşkıner Güngör;Surendra M. Gupta

  • Ant colony optimization for disassembly sequencing with multiple objectives

    Seamus M. McGovern;Surendra M. Gupta

  • Disassembly sequence planning for products with defective parts in product recovery

    Askiner Gungor;Surendra M. Gupta

  • Disassembly line balancing problem: a review of the state of the art and future directions

    Eren Özceylan;Can Berk Kalayci;Askiner Güngör;Surendra M. Gupta

  • Disassembly of multiple product structures

    Karim N. Taleb;Surendra M. Gupta

  • Disassembly sequencing using genetic algorithm

    Elif Kongar;Surendra M. Gupta

  • Artificial bee colony algorithm for solving sequence-dependent disassembly line balancing problem

    Can Berk Kalayci;Surendra M. Gupta

  • ENVIRONMENTAL CONCERNS AND RECYCLING/DISASSEMBLY EFFORTS IN THE ELECTRONICS INDUSTRY

    Leanne K. Moyer;Surendra M. Gupta

  • An evaluation methodology for disassembly processes

    Askiner Gungor;Surendra M. Gupta

  • A hybrid genetic algorithm for sequence-dependent disassembly line balancing problem

    Can Berk Kalayci;Olcay Polat;Surendra M. Gupta

  • Combinatorial optimization analysis of the unary NP-complete disassembly line balancing problem

    S. M. Mcgovern;S. M. Gupta

  • Disassembly of complex product structures with parts and materials commonality

    Karim N. Taleb;Surendra M. Gupta;Louis Brennan

  • Disassembly sequence plan generation using a branch-and-bound algorithm

    Askiner GÜngÖr;Surendra M. Gupta

  • Disassembly of products

    Surendra M. Gupta;Charles R. McLean

  • Green Supply Chain Management: Product Life Cycle Approach

    Hsiao-Fan Wang;Surendra M. Gupta

Frequent Co-Authors

Belarmino Adenso-Díaz
Belarmino Adenso-Díaz University of Oviedo
Olga Battaïa
Olga Battaïa Kedge Business School
Sushil Gupta
Sushil Gupta Florida International University
Kannan Govindan
Kannan Govindan University of Adelaide

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Surendra M. Gupta

Trending Scientists

Recently Published Articles