Application of non-dominated sorting genetic algorithm (nsga-ii) to increase the efficiency of bakery production: a case study

HIGHLIGHTS

• who: Majharulislam Babor and colleagues from the Institute of Food Science and Biotechnology, Department of Process Analytics and Cereal Science, University of Hohenheim, Stuttgart, Germany have published the research: Application of Non-Dominated Sorting Genetic Algorithm (NSGA-II) to Increase the Efficiency of Bakery Production: A Case Study, in the : Processes 2022, 1623 of /2022/
• what: The study shows that the application of multi-objective optimization in bakery production scheduling can reduce oven idle time from 1.7% to 26% while minimizing the makespan by up to 12%. Minimizing makespan is the main focus in . . .
  

   

  

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