Output details
15 - General Engineering
De Montfort University
Article title
Control point policy optimization using genetic algorithms
Type
D - Journal article
Title of journal
International Journal of Production Research
Article number
-
Volume number
46
Issue number
10
First page of article
2785
ISSN of journal
0020-7543
Year of publication
2008
URL
-
Number of additional authors
2
Additional information
The optimisation work reported in this paper led to a research-collaboration with Zest Produce Ltd, (TSB-funded project “23792-161273 Development of an Innovative Autonomous & Intelligent Demand Management Tool for Refrigerated and Shelf-Life Constrained Food Supply Chains – AIDMT”), with partners that also included Food Storage and Distribution Federation, Centre for Factories of the Future and MSA Ltd and where processes are being developed for optimisation of efficiency and response within highly stochastic food supply chains.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Advanced Manufacturing Processes and Mechatronics Centre (AMPMC)
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
