NDLI: Hybrid approach to production scheduling using genetic algorithm and simulation

Content Provider	Springer Nature Link
Author	Jeong, Suk Jae Lim, Seok Jin Kim, Kyung Sup
Copyright Year	2005
Abstract	In the production scheduling problem, due to various kinds of uncertain factors such as queuing, breakdowns and repairing time of machines, the optimal solution considering the stochastic behaviour of a real operation cannot be easily solved.To solve the problem, we present a hybrid approach with a genetic algorithm (GA) and a simulation. The GA is used for optimization of schedules, and the simulation is used to minimize the maximum completion time for the last job with fixed schedules from the GA model. We obtain more realistic production schedules with an optimal completion time reflecting stochastic characteristics by performing the iterative hybrid GA – simulation procedure. It has been shown that the hybrid approach is powerful for complex production scheduling.
Starting Page	129
Ending Page	136
Page Count	8
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	28
Issue Number	1-2
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-03-30
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Genetic algorithm Hybrid approach Production scheduling Simulation Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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