Vol. 21 No. 1 (2022): Mapana Journal of Sciences
Research Articles

Addressing the Energy Consumption Factors in Job Shop Scheduling using MEESA

PDF
  • Anandapadmanabhan Kumaresan
Anandapadmanabhan Kumaresan
Dean, Sri Vasavi College (SFW), Erode.
Bio
DOI: https://doi.org/10.12723/mjs.60.5

Published 2022-01-01

Keywords

  • Lateness,
  • Makespan,
  • Energy Efficiency,
  • JSS,
  • MEESA

Copyright (c) 2022

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Abstract

In Job shop Scheduling Energy conservation is a key factor to be considers for minimizing the lateness and makespan of the shop here in this paper a new technic Modified Energy Efficiency Scheduling Algorithm (MEESA) is used in the proposed work it is divided into two parts analysing effective rate and modified scheduled aware mechanism, the MEESA algorithm enhances the efficiency rate, makespan, in job shop scheduling.

PDF

References

  1. {1] Sharath C. H. Somashekhara, Arun K. Y. Setty, Srinath M. Sridharmurthy, Poornima Adiga, Ulavathi S. Mahabaleshwar, Giulio Lorenzini (2019), “Makespan reduction using dynamic job sequencing combined with buffer optimization applying genetic algorithm in a manufacturing system”, Mathematical Modelling of Engineering Problems, Volume 6, Issue 1, pp. 29-37.
  2. Vineet Kumar, Dr. Om Pal Singh (2016), “Review Study to Minimize the Make Span Time for Job Shop Scheduling of Manufacturing Industry by Different Optimization Method”, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Volume 5, Issue 4.
  3. Henry Lamos-Díaz, Karin Aguilar-Imitola, Yuleiny Tatiana Pérez-Díaz, Silvia Galván-Núñez (2017), “A memetic algorithm for minimizing the makespan in the Job Shop Scheduling problem”, Rev. Fac. Ing., Vol. 26 (44), pp. 113-123, Ene.
  4. Pisut Pongchairerks (2019), “A Two-Level Metaheuristic Algorithm for the Job-Shop Scheduling Problem”, Complexity, Issue 4, pp. 1-11.
  5. Ajendra Kumar, Preet Pal Singh, Dipa Sharma, Pawan Joshi (2019), “Grid Computing Model to Solve Job Shop Scheduling and Flow Shop Scheduling by Fuzzy C-Mean Algorithm”, International Journal of Engineering and Advanced Technology (IJEAT), Volume 9, Issue 1.
  6. Ma, D. Y., He, C. H., Wang, S. Q., Han, X. M., Shi, X. H. (2013), “Solving fuzzy flexible job shop scheduling problem based on fuzzy satisfaction rate and differential evolution”.
  7. N Selvamalar, V Vinoba (2019), “Role of Heuristic Algorithms in Minimizing the Makespan of Fuzzy Flow shop Scheduling Problem”, International Journal of Recent Technology and Engineering (IJRTE), Volume 8, Issue 3.
  8. Kanate Ploydanai, Anan Mungwattana (2010), “Algorithm for Solving Job Shop Scheduling Problem Based on machine availability constraint”, International Journal on Computer Science and Engineering, Volume 2, Issue 5.
  9. T Varun Kumarand, B Ganesh Babu (2014), “Optimizing of Makespan in Job Shop Scheduling Problem: A Combined New Approach”, International Journal of mechanical engineering and robotics research, Volume 3, Issue 2.
  10. Mohsen Ziaee (2014), “Job shop scheduling with makespan objective: A heuristic approach”, International Journal of Industrial Engineering Computations.
  11. R Sanjeev Kumar, K P Padmanaban, and M Rajkumar (2015), “Minimizing makespan and total flowtime in permutation flow shop scheduling problems using modified gravitational emulation local search algorithm”, Journal of engineering and manufacture.
  12. Zineb Ibn Majdoub Hassani, Abdelouahhab Jabri, Abdellah El Barkany, Abdel Moumen Darcherif, Ikram El Abbassi (2019), “New Model of Planning and Scheduling for Job-Shop Production System with Energy Consideration”, Management and Production Engineering Review, Volume 10, Issue 1.
  13. Hua Zhang, Ziwei Dai, Wenyu Zhang, Shuai Zhang, Yan Wang, and Rongyu Liu (2017), “A New Energy-Aware Flexible Job Shop Scheduling Method Using Modified Biogeography-Based Optimization”, Mathematical Problems in Engineering.
  14. Zhongwei Zhang, Lihui Wu, Tao Peng, and Shun Jia (2019), “An Improved Scheduling Approach for Minimizing Total Energy Consumption and Makespan in a Flexible Job Shop Environment”, MDPI, Volume 11, Issue 1.
  15. Songling Tian, Taiyong Wang, Lei Zhang, And Xiaoqiang Wu (2019), “An Energy-Efficient Scheduling Approach for Flexible Job Shop Problem in the Internet of Manufacturing Things Environment”, Special Section On Green Communications On Wireless Networks, Volume 7.
  16. Dominik Kress, David Müller, and Jenny Nossack (2017), “A worker constrained flexible job shop scheduling problem with sequence-dependent setup times”, OR Spectrum.
  17. Ying Liu, Michael Farnsworth, and Ashutosh Tiwari (2018), “Energy-efficient scheduling of flexible flow shop of composite recycling”, The International Journal of Advanced Manufacturing Technology 97, pp 117–127.