NDLI: Using Genetic Algorithms to solve scheduling problems on flexible manufacturing systems (FMS): a literature survey, classification and analysis

Content Provider	Springer Nature Link
Author	Godinho Filho, Moacir Barco, Clarissa Fullin Tavares Neto, Roberto Fernandes
Copyright Year	2012
Abstract	This paper reviews the literature regarding Genetic Algorithms (GAs) applied to flexible manufacturing system (FMS) scheduling. On the basis of this literature review, a classification system is proposed that encompasses 6 main dimensions: FMS type, types of resource constraints, job description, scheduling problem, measure of performance and solution approach. The literature review found 40 papers, which were classified according to these criteria. The literature was analyzed using the proposed classification system, which provides the following results regarding the application of GAs to FMS scheduling: (1) combinations of GAs and other methods were relatively important in the reviewed papers; (2) although most studies deal with complex environments concerning both the routing flexibility and the job complexity, only a minority of papers simultaneously consider the variety of possible capacity constraints on an FMS environment, including pallets and automated guided vehicles; (3) local search is rarely used; (4) makespan is the most widely used measure of performance.
Starting Page	408
Ending Page	431
Page Count	24
File Format	PDF
ISSN	19366582
Journal	Flexible Services and Manufacturing Journal
Volume Number	26
Issue Number	3
e-ISSN	19366590
Language	English
Publisher	Springer US
Publisher Date	2012-03-21
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Scheduling Flexible manufacturing systems (FMS) Genetic Algorithms Literature review Manufacturing, Machines, Tools Production/Logistics/Supply Chain Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Management Science and Operations Research

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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
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