Access the full text.
Sign up today, get DeepDyve free for 14 days.
V. T’kindt, N. Monmarché, F. Tercinet, Daniel Laügt (2002)
An Ant Colony Optimization algorithm to solve a 2-machine bicriteria flowshop scheduling problemEur. J. Oper. Res., 142
S. Ponnambalam, M. Reddy (2003)
A GA-SA Multiobjective Hybrid Search Algorithm for Integrating Lot Sizing and Sequencing in Flow-Line SchedulingThe International Journal of Advanced Manufacturing Technology, 21
R. Poli, J. Kennedy, T. Blackwell (1995)
Particle swarm optimizationSwarm Intelligence, 1
N. Jawahar, P. Aravindan, S. Ponnambalam (1998)
Optimal random storage allocation for an AS/RS in an FMSThe International Journal of Advanced Manufacturing Technology, 14
M. Saravanan, A. Haq (2008)
Evaluation of scatter-search approach for scheduling optimization of flexible manufacturing systemsThe International Journal of Advanced Manufacturing Technology, 38
T. Chan, H. Pak (1986)
Heuristical job allocation in a flexible manufacturing systemThe International Journal of Advanced Manufacturing Technology, 1
O. Chetty, M. Reddy (2003)
Genetic algorithms for studies on AS/RS integrated with machinesThe International Journal of Advanced Manufacturing Technology, 22
J. Biegel, James Davern (1990)
Genetic algorithms and job shop scheduling, 19
T. Prabaharan, P. Nakkeeran, N. Jawahar (2006)
Sequencing and scheduling of job and tool in a flexible manufacturing cellThe International Journal of Advanced Manufacturing Technology, 29
H. Greenberg (1968)
A Branch-Bound Solution to the General Scheduling ProblemOper. Res., 16
Min-Hong Han, L. McGinnis, Jin Shieh, John White (1987)
On Sequencing Retrievals In An Automated Storage/Retrieval SystemIie Transactions, 19
B. Giffler, G. Thompson (1960)
Algorithms for Solving Production-Scheduling ProblemsOperations Research, 8
S. Hasan, R. Sarker, D. Cornforth (2007)
Hybrid Genetic Algorithm for Solving Job-Shop Scheduling Problem6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)
Y. Bozer, John White (1984)
Travel-Time Models for Automated Storage/Retrieval SystemsIie Transactions, 16
G. Ulusoy, Funda Sivrikaya-Serifoglu, Ümit Bilge (1997)
A genetic algorithm approach to the simultaneous scheduling of machines and automated guided vehiclesComput. Oper. Res., 24
P. Egbelu (1991)
Framework for dynamic positioning of storage/retrieval machines in an automated storage/retrieval systemInternational Journal of Production Research, 29
Ümit Bilge, G. Ulusoy (1995)
A Time Window Approach to Simultaneous Scheduling of Machines and Material Handling System in an FMSOper. Res., 43
K. Mak, Y. Wong, X. Wang (2000)
An Adaptive Genetic Algorithm for Manufacturing Cell FormationThe International Journal of Advanced Manufacturing Technology, 16
L. Wang, L. Zhang, Da-Zhong Zheng (2004)
The ordinal optimisation of genetic control parameters for flow shop schedulingThe International Journal of Advanced Manufacturing Technology, 23
Flexible Manufacturing Systems (FMS) are advanced production systems used in industries today. In this context, this paper deals with the problem of scheduling of jobs and Automated Storage and Retrieval Systems (AS/RS) assignments in a FMS environment because in some industries they have machines and this kind of AS/RS. Non-traditional optimisation techniques such as Adaptive Genetic Algorithm (AGA) and Particle Swarm Optimisation (PSO) are implemented to get optimal schedules and storage assignments. The objective function minimises the distance travelled by the Storage and Retrieval (S/R) machine. The results are presented and compared.
International Journal of Manufacturing Research – Inderscience Publishers
Published: Jan 1, 2008
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.