Performance Evaluation of Jaya Optimization Technique for the Production Planning in a Dairy Industry

  • Aparna ChaparalaEmail author
  • Radhika Sajja
  • K. Karteeka Pavan
  • Sreelatha Moturi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)


In any manufacturing industry, for each production run, the manufacturer has to balance many variables, including the available quantity and quality of raw materials and associated components. Effectively balancing that ever-changing equation is the key to achieve optimum utilization of raw materials, maximum product profitability and adequate fulfilment of customer demand. The implementation of computer-based strategies can commendably balance such equation with minimum time. However, their efficiency would be enhanced, only when the applied algorithm is capable of providing solutions to real-world problems. Hence, to study the applicability of the recently proposed Jaya optimization method, it is used for finding the optimal master production schedule in a dairy industry. The performance of Jaya is also compared with the solution obtained when used teaching–learning-based optimization method (TLBO) for the same problem.


Process industries Master production scheduling Evolutionary algorithms Jaya algorithm 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Aparna Chaparala
    • 1
    Email author
  • Radhika Sajja
    • 2
  • K. Karteeka Pavan
    • 3
  • Sreelatha Moturi
    • 1
  1. 1.Department of Computer Sceince and EngineeringRVR & JC College of Engineering (A)GunturIndia
  2. 2.Department of Mechanical EngineeringRVR & JC College of Engineering (A)GunturIndia
  3. 3.Department of Computer ApplicationsRVR & JC College of Engineering (A)GunturIndia

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