Staff View: Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry

Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry

Multi-objective scheduling with the NP-dependent relay preparation time becomes difficult because the complexity of the optimization increases within a reasonable time. Research methods have become a more important option to solve the difficult problems of NP because there are more powerful solution...

Full description

Saved in:

Bibliographic Details
Main Authors:	Reddy, Guduru Ramakrishna, Singh, Harpreet, Domeika, Aurelijus, Manoj Kumar, Nallapaneni, Quanjin, Ma
Format:	Conference or Workshop Item
Language:	English
Published:	Elsevier 2020
Subjects:	T Technology (General) TJ Mechanical engineering and machinery TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/30093/1/Modelling%20of%20heuristic%20distribution%20algorithm%20to%20optimize%20flexible.pdf http://umpir.ump.edu.my/id/eprint/30093/ https://doi.org/10.1016/j.procs.2020.03.414
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.ump.umpir.30093
record_format	eprints
spelling	my.ump.umpir.300932023-09-07T03:04:14Z http://umpir.ump.edu.my/id/eprint/30093/ Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry Reddy, Guduru Ramakrishna Singh, Harpreet Domeika, Aurelijus Manoj Kumar, Nallapaneni Quanjin, Ma T Technology (General) TJ Mechanical engineering and machinery TS Manufactures Multi-objective scheduling with the NP-dependent relay preparation time becomes difficult because the complexity of the optimization increases within a reasonable time. Research methods have become a more important option to solve the difficult problems of NP because there are more powerful solutions and a great potential to require biology in a reasonable time. In the present work, Two Heuristic Algorithms are modelled and the best algorithm among those two Heuristics is selected after few comparisons 3M to 5M, this can optimize the scheduling processes up to 10x10 jobs i.e. 10 machines and 10 jobs. In context of Heuristic optimization, the results clearly show the variation in times (decrease) of all-time dependents i.e. 46% decrease, when the increase in machines and jobs are considered, therefore, it implicates the error of 0.468 as the make-span decreased by 221 minutes. The proposed model gives a large edge in minimization of make-span i.e., 40-50% decrease in the production times, and it can produce even more when the number of sources and jobs are more. Therefore, the optimized error of 0.456 than the mathematical data and hence, this model is validated. Elsevier 2020 Conference or Workshop Item PeerReviewed pdf en cc_by_nd_4 http://umpir.ump.edu.my/id/eprint/30093/1/Modelling%20of%20heuristic%20distribution%20algorithm%20to%20optimize%20flexible.pdf Reddy, Guduru Ramakrishna and Singh, Harpreet and Domeika, Aurelijus and Manoj Kumar, Nallapaneni and Quanjin, Ma (2020) Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry. In: Procedia Computer Science; 2019 International Conference on Computational Intelligence and Data Science, ICCIDS 2019, 6 - 7 September 2019 , Gurugram, India. pp. 1120-1127., 167. ISSN 1877-0509 https://doi.org/10.1016/j.procs.2020.03.414
institution	Universiti Malaysia Pahang
building	UMP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang
content_source	UMP Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	T Technology (General) TJ Mechanical engineering and machinery TS Manufactures
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery TS Manufactures Reddy, Guduru Ramakrishna Singh, Harpreet Domeika, Aurelijus Manoj Kumar, Nallapaneni Quanjin, Ma Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
description	Multi-objective scheduling with the NP-dependent relay preparation time becomes difficult because the complexity of the optimization increases within a reasonable time. Research methods have become a more important option to solve the difficult problems of NP because there are more powerful solutions and a great potential to require biology in a reasonable time. In the present work, Two Heuristic Algorithms are modelled and the best algorithm among those two Heuristics is selected after few comparisons 3M to 5M, this can optimize the scheduling processes up to 10x10 jobs i.e. 10 machines and 10 jobs. In context of Heuristic optimization, the results clearly show the variation in times (decrease) of all-time dependents i.e. 46% decrease, when the increase in machines and jobs are considered, therefore, it implicates the error of 0.468 as the make-span decreased by 221 minutes. The proposed model gives a large edge in minimization of make-span i.e., 40-50% decrease in the production times, and it can produce even more when the number of sources and jobs are more. Therefore, the optimized error of 0.456 than the mathematical data and hence, this model is validated.
format	Conference or Workshop Item
author	Reddy, Guduru Ramakrishna Singh, Harpreet Domeika, Aurelijus Manoj Kumar, Nallapaneni Quanjin, Ma
author_facet	Reddy, Guduru Ramakrishna Singh, Harpreet Domeika, Aurelijus Manoj Kumar, Nallapaneni Quanjin, Ma
author_sort	Reddy, Guduru Ramakrishna
title	Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
title_short	Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
title_full	Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
title_fullStr	Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
title_full_unstemmed	Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
title_sort	modelling of heuristic distribution algorithm to optimize flexible production scheduling in indian industry
publisher	Elsevier
publishDate	2020
url	http://umpir.ump.edu.my/id/eprint/30093/1/Modelling%20of%20heuristic%20distribution%20algorithm%20to%20optimize%20flexible.pdf http://umpir.ump.edu.my/id/eprint/30093/ https://doi.org/10.1016/j.procs.2020.03.414
_version_	1778161069485719552
score	13.211869

Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry

Similar Items