A FUZZY LOGIC BASED ALGORITHM FOR NON-PERMUTATION FLOW SHOP SCHEDULING WITH STATIC AND DYNAMIC ENVIRONMENT

Faculty Engineering Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Sarah Atif Abdulaziz Ali
Journal: CIE47 Proceedings, 11-13 October 2017, Lisbon / Portugal CIE47 Proceedings, 11-13 October 2017, Lisbon / Portugal Volume:
Keywords : , FUZZY LOGIC BASED ALGORITHM , NON-PERMUTATION FLOW    
Abstract:
This paper proposes a fuzzy logic based algorithm to solve the non-permutation flow shop scheduling problems considering both static and dynamic environment. The proposed algorithm is based on assigning priorities to jobs that are to be m
    
     
 
       

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  • Sarah Atif Abdulaziz Ali , "Assessment of stacked unidirectional and bidirectional long short-term memory networks for electricity load forecasting", ELSEVIER, 2020 More
  • Sarah Atif Abdulaziz Ali , "A new fuzzy logic based approach for optimal household appliance scheduling based on electricity price and load consumption prediction", TAYLOR AND FRANCIS, 2021 More
  • Sarah Atif Abdulaziz Ali , "Real-Time Load Consumption Prediction and Demand Response Scheme Using Deep Learning in Smart Grids", IEEE, 2019 More

Department Related Publications

  • Boshra Taha Abdallah Abdallah, "Multi_Suppliers Procurement Model with Optimal Service Tailored for Egyptian Industrial Sector", International Jornal of Research in Management and technology, 2014 More
  • Adel Abdelmoaz, "Layout Designs In Cellular Manufacturing", The 8th International Conference of Al-Azhar University, 2004 More
  • Adel Abdelmoaz, "Impact of neighborhood search of simulation annealing algorithm on solving job shop scheduling problem with sequence dependent setup times", EJEST, 2016 More
  • Adel Abdelmoaz, "An Effective Genetic Algorithm for Capacitated Vehicle Routing Problem", 8th international conference on Industrial Engineering and Operations Management; Indonesia, 2018 More
  • Rafat Hessien Elsayed Elshaer, "An Effective Genetic Algorithm for Capacitated Vehicle Routing Problem", IEOM society, 2018 More
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