Prasad Karande

Employment

• Veermata Jijabai Technological Institute Associate Professor
  2017 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (21)

• Combinatorial framework for reducing tardiness in multi-machine scheduling using EDD, NEH and genetic algorithm
  International Journal of Production Management and Engineering 2026 DOI: 10.4995/ijpme.2026.24136
  +Save
• New approach for performance score analysis of m-polar Fuzzy ELECTRE-I method
  OPSEARCH 2024 DOI: 10.1007/s12597-024-00775-z
  +Save
• The m-polar fuzzy ELECTRE-I integrated AHP approach for selection of non-traditional machining processes
  Cogent Engineering 2023 DOI: 10.1080/23311916.2023.2181737
  +Save
• Hybrid genetic algorithm to minimize scheduling cost with unequal and job dependent earliness tardiness cost
  International Journal of Production Management and Engineering 2023 DOI: 10.4995/ijpme.2024.19277
  +Save
• AHP-MARCOS, a hybrid model for selecting gears and cutting fluids
  Materials Today: Proceedings 2022 DOI: 10.1016/j.matpr.2021.11.142
  +Save
• Application of M-polar Fuzzy Set Algorithm for Nontraditional Machining Process Selection
  Lecture Notes in Information Systems and Organisation 2022 DOI: 10.1007/978-3-030-94252-6_16
  +Save
• Cost Minimization in a Scheduling Problem with Unrestricted and Restricted Common Due Date
  Lecture Notes in Mechanical Engineering 2022 DOI: 10.1007/978-981-16-5281-3_25
  +Save
• Effect of normalization methods on rank performance in single valued m-polar fuzzy ELECTRE-I algorithm
  Materials Today: Proceedings 2022 DOI: 10.1016/j.matpr.2021.10.146
  +Save
• Experimental Investigations and Optimization of Machining Parameters in CNC Turning of SS304 Using Coolant at 0 °C
  Journal of Manufacturing and Materials Processing 2022 DOI: 10.3390/jmmp6060128
  +Save
• SIMULATION OF JOB SEQUENCING FOR STOCHASTIC SCHEDULING WITH A GENETIC ALGORITHM
  Operational Research in Engineering Sciences: Theory and Applications 2022 DOI: 10.31181/oresta060722075b
  +Save