NDLI: Joint optimization of spare parts inventory and maintenance policies using genetic algorithms

Content Provider	Springer Nature Link
Author	Ilgin, M. Ali Tunali, Semra
Copyright Year	2006
Abstract	In general, the maintenance and spare parts inventory policies are treated either separately or sequentially in industry. However, since the stock level of spare parts is often dependent on the maintenance policies, it is a better practice to deal with these problems simultaneously. In this study, a simulation optimization approach using genetic algorithms (GAs) has been proposed for the joint optimization of preventive maintenance (PM) and spare provisioning policies of a manufacturing system operating in the automotive sector. A factorial experiment was carried out to identify the best values for the GA parameters, including the probabilities of crossover and mutation, the population size, and the number of generations. The computational experiments showed that the parameter settings given by the proposed approach achieves a significant cost reduction while increasing the throughput of the manufacturing system.
Starting Page	594
Ending Page	604
Page Count	11
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	34
Issue Number	5-6
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-05-31
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Genetic algorithms Inventory Maintenance Simulation Spare parts 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
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Using genetic algorithms for the optimization of mechanisms

Scheduling a single machine with multiple preventive maintenance activities and position-based deteriorations using genetic algorithms

Pseudo-constructal theory for shape optimization of mechanical structures

Optimal production run length and maintenance schedule for a deteriorating production system

Optimization of manual fabric-cutting process in apparel manufacture using genetic algorithms

Multi-objective optimization design method for the machine tool’s structural parts based on computer-aided engineering

Maintenance policy optimization—literature review and directions

PCB assembly planning using genetic algorithms

Joint decision making for maintenance and production scheduling of production systems

Joint optimization of spare parts inventory and maintenance policies using genetic algorithms

Similar Documents

Using genetic algorithms for the optimization of mechanisms

Scheduling a single machine with multiple preventive maintenance activities and position-based deteriorations using genetic algorithms

Pseudo-constructal theory for shape optimization of mechanical structures

Optimal production run length and maintenance schedule for a deteriorating production system

Optimization of manual fabric-cutting process in apparel manufacture using genetic algorithms

Multi-objective optimization design method for the machine tool’s structural parts based on computer-aided engineering

Maintenance policy optimization—literature review and directions

PCB assembly planning using genetic algorithms

Joint decision making for maintenance and production scheduling of production systems

Joint optimization of spare parts inventory and maintenance policies using genetic algorithms